diff --git a/autosklearn/metalearning/files/mean_absolute_error_regression_dense/configurations.csv b/autosklearn/metalearning/files/mean_absolute_error_regression_dense/configurations.csv
index 29e87b202f..2b990c9d14 100644
--- a/autosklearn/metalearning/files/mean_absolute_error_regression_dense/configurations.csv
+++ b/autosklearn/metalearning/files/mean_absolute_error_regression_dense/configurations.csv
@@ -1,98 +1,98 @@
-idx,data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__,data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__,data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction,data_preprocessor:feature_type:numerical_transformer:imputation:strategy,data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__,data_preprocessor:feature_type:numerical_transformer:rescaling:quantile_transformer:n_quantiles,data_preprocessor:feature_type:numerical_transformer:rescaling:quantile_transformer:output_distribution,data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_max,data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_min,feature_preprocessor:__choice__,feature_preprocessor:extra_trees_preproc_for_regression:bootstrap,feature_preprocessor:extra_trees_preproc_for_regression:criterion,feature_preprocessor:extra_trees_preproc_for_regression:max_depth,feature_preprocessor:extra_trees_preproc_for_regression:max_features,feature_preprocessor:extra_trees_preproc_for_regression:max_leaf_nodes,feature_preprocessor:extra_trees_preproc_for_regression:min_samples_leaf,feature_preprocessor:extra_trees_preproc_for_regression:min_samples_split,feature_preprocessor:extra_trees_preproc_for_regression:min_weight_fraction_leaf,feature_preprocessor:extra_trees_preproc_for_regression:n_estimators,feature_preprocessor:fast_ica:algorithm,feature_preprocessor:fast_ica:fun,feature_preprocessor:fast_ica:n_components,feature_preprocessor:fast_ica:whiten,feature_preprocessor:feature_agglomeration:affinity,feature_preprocessor:feature_agglomeration:linkage,feature_preprocessor:feature_agglomeration:n_clusters,feature_preprocessor:feature_agglomeration:pooling_func,feature_preprocessor:kernel_pca:coef0,feature_preprocessor:kernel_pca:degree,feature_preprocessor:kernel_pca:gamma,feature_preprocessor:kernel_pca:kernel,feature_preprocessor:kernel_pca:n_components,feature_preprocessor:kitchen_sinks:gamma,feature_preprocessor:kitchen_sinks:n_components,feature_preprocessor:nystroem_sampler:coef0,feature_preprocessor:nystroem_sampler:degree,feature_preprocessor:nystroem_sampler:gamma,feature_preprocessor:nystroem_sampler:kernel,feature_preprocessor:nystroem_sampler:n_components,feature_preprocessor:pca:keep_variance,feature_preprocessor:pca:whiten,feature_preprocessor:polynomial:degree,feature_preprocessor:polynomial:include_bias,feature_preprocessor:polynomial:interaction_only,feature_preprocessor:random_trees_embedding:bootstrap,feature_preprocessor:random_trees_embedding:max_depth,feature_preprocessor:random_trees_embedding:max_leaf_nodes,feature_preprocessor:random_trees_embedding:min_samples_leaf,feature_preprocessor:random_trees_embedding:min_samples_split,feature_preprocessor:random_trees_embedding:min_weight_fraction_leaf,feature_preprocessor:random_trees_embedding:n_estimators,feature_preprocessor:select_percentile_regression:percentile,feature_preprocessor:select_percentile_regression:score_func,feature_preprocessor:select_rates_regression:alpha,feature_preprocessor:select_rates_regression:mode,feature_preprocessor:select_rates_regression:score_func,regressor:__choice__,regressor:adaboost:learning_rate,regressor:adaboost:loss,regressor:adaboost:max_depth,regressor:adaboost:n_estimators,regressor:ard_regression:alpha_1,regressor:ard_regression:alpha_2,regressor:ard_regression:fit_intercept,regressor:ard_regression:lambda_1,regressor:ard_regression:lambda_2,regressor:ard_regression:n_iter,regressor:ard_regression:threshold_lambda,regressor:ard_regression:tol,regressor:decision_tree:criterion,regressor:decision_tree:max_depth_factor,regressor:decision_tree:max_features,regressor:decision_tree:max_leaf_nodes,regressor:decision_tree:min_impurity_decrease,regressor:decision_tree:min_samples_leaf,regressor:decision_tree:min_samples_split,regressor:decision_tree:min_weight_fraction_leaf,regressor:extra_trees:bootstrap,regressor:extra_trees:criterion,regressor:extra_trees:max_depth,regressor:extra_trees:max_features,regressor:extra_trees:max_leaf_nodes,regressor:extra_trees:min_impurity_decrease,regressor:extra_trees:min_samples_leaf,regressor:extra_trees:min_samples_split,regressor:extra_trees:min_weight_fraction_leaf,regressor:gaussian_process:alpha,regressor:gaussian_process:thetaL,regressor:gaussian_process:thetaU,regressor:gradient_boosting:early_stop,regressor:gradient_boosting:l2_regularization,regressor:gradient_boosting:learning_rate,regressor:gradient_boosting:loss,regressor:gradient_boosting:max_bins,regressor:gradient_boosting:max_depth,regressor:gradient_boosting:max_leaf_nodes,regressor:gradient_boosting:min_samples_leaf,regressor:gradient_boosting:n_iter_no_change,regressor:gradient_boosting:scoring,regressor:gradient_boosting:tol,regressor:gradient_boosting:validation_fraction,regressor:k_nearest_neighbors:n_neighbors,regressor:k_nearest_neighbors:p,regressor:k_nearest_neighbors:weights,regressor:liblinear_svr:C,regressor:liblinear_svr:dual,regressor:liblinear_svr:epsilon,regressor:liblinear_svr:fit_intercept,regressor:liblinear_svr:intercept_scaling,regressor:liblinear_svr:loss,regressor:liblinear_svr:tol,regressor:libsvm_svr:C,regressor:libsvm_svr:coef0,regressor:libsvm_svr:degree,regressor:libsvm_svr:epsilon,regressor:libsvm_svr:gamma,regressor:libsvm_svr:kernel,regressor:libsvm_svr:max_iter,regressor:libsvm_svr:shrinking,regressor:libsvm_svr:tol,regressor:mlp:activation,regressor:mlp:alpha,regressor:mlp:batch_size,regressor:mlp:beta_1,regressor:mlp:beta_2,regressor:mlp:early_stopping,regressor:mlp:epsilon,regressor:mlp:hidden_layer_depth,regressor:mlp:learning_rate_init,regressor:mlp:n_iter_no_change,regressor:mlp:num_nodes_per_layer,regressor:mlp:shuffle,regressor:mlp:solver,regressor:mlp:tol,regressor:mlp:validation_fraction,regressor:random_forest:bootstrap,regressor:random_forest:criterion,regressor:random_forest:max_depth,regressor:random_forest:max_features,regressor:random_forest:max_leaf_nodes,regressor:random_forest:min_impurity_decrease,regressor:random_forest:min_samples_leaf,regressor:random_forest:min_samples_split,regressor:random_forest:min_weight_fraction_leaf,regressor:sgd:alpha,regressor:sgd:average,regressor:sgd:epsilon,regressor:sgd:eta0,regressor:sgd:fit_intercept,regressor:sgd:l1_ratio,regressor:sgd:learning_rate,regressor:sgd:loss,regressor:sgd:penalty,regressor:sgd:power_t,regressor:sgd:tol,data_preprocessor:__choice__
-2,no_encoding,no_coalescense,,mean,quantile_transformer,11,normal,,,feature_agglomeration,,,,,,,,,,,,,,euclidean,complete,25,median,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.0013353328453618832,1.8649142010631853e-07,3552.37611286252,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-6,no_encoding,no_coalescense,,median,minmax,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,True,friedman_mse,None,0.9749597494965978,None,0.0,4,2,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-7,one_hot_encoding,no_coalescense,,most_frequent,quantile_transformer,809,uniform,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,True,,,,,,,,,,,,,sgd,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.01806079811541296,False,,0.015540128437738566,True,0.9326390049807726,constant,squared_loss,elasticnet,,0.00010576654619459039,feature_type
-12,no_encoding,minority_coalescer,0.43459780721179087,median,quantile_transformer,157,uniform,,,feature_agglomeration,,,,,,,,,,,,,,cosine,complete,230,mean,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1.8163213580890267e-13,3.018233262270109e-06,302.06769747934663,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-14,no_encoding,minority_coalescer,0.07108590272810227,median,minmax,,,,,extra_trees_preproc_for_regression,False,mae,None,1.0,None,2,3,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,True,mae,None,1.0,None,0.0,9,19,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-16,no_encoding,minority_coalescer,0.006961574439410704,mean,minmax,,,,,fast_ica,,,,,,,,,,deflation,exp,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,24.849437092408927,,3,0.0010072349709912712,0.2620770817035318,rbf,-1,False,0.043415935783161747,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-20,one_hot_encoding,minority_coalescer,0.0015545063839819278,most_frequent,normalize,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,decision_tree,,,,,,,,,,,,,mae,0.7595438766001632,1.0,None,0.0,19,18,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-22,one_hot_encoding,no_coalescense,,mean,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,adaboost,0.8420513715405185,square,10,480,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-26,no_encoding,no_coalescense,,mean,robust_scaler,,,0.7194207293244546,0.25,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,False,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,1e-10,0.04073473488071534,least_squares,255,None,22,4,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-29,one_hot_encoding,minority_coalescer,0.019250695324004172,mean,robust_scaler,,,0.7578716752945609,0.2564985900301251,pca,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.9701517204674619,True,,,,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,False,mae,None,0.896118178311832,None,0.0,14,5,0.0,,,,,,,,,,,,feature_type
-31,one_hot_encoding,minority_coalescer,0.0001745391328519669,most_frequent,robust_scaler,,,0.8057830372269097,0.24982831110057324,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.3621762718897781,fwe,f_regression,ard_regression,,,,,2.7664515192592053e-05,9.504988116581138e-07,True,6.50650698230178e-09,4.238533890074848e-07,300,78251.58542976103,0.0007301343236220855,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-34,one_hot_encoding,no_coalescense,,most_frequent,quantile_transformer,952,uniform,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,1.8428972335335263e-10,0.012607824914758717,least_squares,255,None,10,8,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-38,no_encoding,minority_coalescer,0.16100794776610894,median,robust_scaler,,,0.7171413959739553,0.13004136466339758,feature_agglomeration,,,,,,,,,,,,,,euclidean,complete,170,mean,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,False,mae,None,0.35533840599344335,None,0.0,4,3,0.0,,,,,,,,,,,,feature_type
-40,no_encoding,minority_coalescer,0.032459358237118964,mean,quantile_transformer,245,normal,,,fast_ica,,,,,,,,,,parallel,exp,1538,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.010616529299999268,3.3168147703951036e-07,4.182958258383621,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-43,no_encoding,no_coalescense,,mean,standardize,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.034904198000955684,fdr,f_regression,liblinear_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,35.012615180923554,False,0.7326132441316412,True,1,squared_epsilon_insensitive,0.00012982617662684841,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-46,no_encoding,no_coalescense,,most_frequent,quantile_transformer,1000,uniform,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.3202682286326904,fwe,f_regression,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,mae,None,0.9087389932117044,None,0.0,1,4,0.0,,,,,,,,,,,,feature_type
-50,one_hot_encoding,minority_coalescer,0.01047631022335275,median,minmax,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,True,mse,None,0.5535883939348928,None,0.0,2,16,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-52,no_encoding,minority_coalescer,0.00037751305802594386,most_frequent,robust_scaler,,,0.8759400736837674,0.13221781341594682,fast_ica,,,,,,,,,,parallel,cube,697,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.029453991772614846,1.1450968194422473e-08,236.5906050407108,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-56,one_hot_encoding,minority_coalescer,0.00045833372603169316,most_frequent,minmax,,,,,random_trees_embedding,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,False,4,None,5,13,1.0,95,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,False,mae,None,0.7632599342253943,None,0.0,6,3,0.0,,,,,,,,,,,,feature_type
-58,one_hot_encoding,no_coalescense,,median,standardize,,,,,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,22.538520410186127,f_regression,,,,liblinear_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.036388789196735646,False,0.0012739627397164333,True,1,squared_epsilon_insensitive,0.020180468804448126,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-63,no_encoding,no_coalescense,,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,True,mse,None,0.9615263480351033,None,0.0,1,2,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-64,one_hot_encoding,minority_coalescer,0.010000000000000004,most_frequent,robust_scaler,,,0.7430978207309135,0.25,extra_trees_preproc_for_regression,False,mae,None,0.7005907957964752,None,10,3,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mae,None,0.18534500736841375,None,0.0,20,11,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-67,no_encoding,no_coalescense,,most_frequent,standardize,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,0.03924332738035384,0.049768184173431644,least_squares,255,None,3,3,2,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-71,no_encoding,minority_coalescer,0.006510624355014198,most_frequent,minmax,,,,,pca,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.5230616735264457,True,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,19.854915227109338,,,0.007017972966409939,,linear,-1,True,9.038240422247689e-05,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-74,one_hot_encoding,no_coalescense,,mean,none,,,,,feature_agglomeration,,,,,,,,,,,,,,cosine,complete,117,max,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.055180212426724,5.905140233631545e-07,1471.9250770888395,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-77,no_encoding,minority_coalescer,0.28144748021848814,mean,robust_scaler,,,0.8771493204875395,0.13693823573634356,fast_ica,,,,,,,,,,deflation,cube,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,friedman_mse,None,1.0,None,0.0,1,2,0.0,,,,,,,,,,,,feature_type
-79,no_encoding,minority_coalescer,0.042366198588653134,most_frequent,minmax,,,,,fast_ica,,,,,,,,,,deflation,logcosh,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,7277.320824640944,,2,0.0013490872095510865,0.03233188643981015,rbf,-1,True,0.0034607903098849255,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-82,no_encoding,minority_coalescer,0.05607310321489163,mean,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,28831.968873651404,0.39386733846748023,3,0.12370783564202235,0.0026233747431769617,poly,-1,True,4.714268123196739e-05,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-86,one_hot_encoding,no_coalescense,,most_frequent,standardize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,ard_regression,,,,,0.0003701926442639788,2.2118001735899097e-07,True,1.2037591637980971e-06,4.358378124977852e-09,300,1136.5286041327277,0.021944240404849075,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-90,no_encoding,no_coalescense,,most_frequent,robust_scaler,,,0.9967561696478335,0.026240229529164848,feature_agglomeration,,,,,,,,,,,,,,euclidean,ward,25,max,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,valid,1e-10,0.10799112896135016,least_squares,255,None,31,23,6,loss,1e-07,0.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-91,one_hot_encoding,minority_coalescer,0.007279393188444156,most_frequent,robust_scaler,,,0.8268531657356266,0.12229287307944404,pca,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.9091333546205435,True,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,845.5038204708214,,5,0.0029756081510812445,0.02954207864444914,rbf,-1,True,0.018999658720438555,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-93,one_hot_encoding,no_coalescense,,most_frequent,quantile_transformer,1148,uniform,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.14778326778462142,fpr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,1.7962284970386197e-10,0.05156555327055447,least_squares,255,None,35,12,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-98,one_hot_encoding,minority_coalescer,0.0003901993361129805,most_frequent,robust_scaler,,,0.7928201883580988,0.11402818686496194,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,k_nearest_neighbors,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,1,distance,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-100,one_hot_encoding,minority_coalescer,0.0004074198580703139,mean,robust_scaler,,,0.9330606970563508,0.2761356138672697,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,adaboost,0.028345285546561846,linear,10,174,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-102,no_encoding,minority_coalescer,0.00829519231049576,mean,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,ard_regression,,,,,4.7044575285722365e-05,0.000629863807127318,True,7.584067704707025e-10,3.923255608410879e-08,300,4052.403778957396,0.009359388994186051,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-104,no_encoding,no_coalescense,,mean,standardize,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,mlp,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,relu,0.00034869363637350924,auto,0.9,0.999,train,1e-08,2,0.00011524903693777931,32,31,True,adam,0.0001,,,,,,,,,,,,,,,,,,,,,,feature_type
-107,no_encoding,no_coalescense,,mean,robust_scaler,,,0.7727512096172742,0.22461598115758682,feature_agglomeration,,,,,,,,,,,,,,manhattan,complete,21,max,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,2.208787572338781e-05,0.036087332404571744,least_squares,255,None,64,3,18,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-110,no_encoding,minority_coalescer,0.0006869013905922761,mean,quantile_transformer,1352,normal,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.07357548990881542,fpr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,3.20414911914726e-10,0.1279702444496931,least_squares,255,None,63,19,8,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-114,no_encoding,minority_coalescer,0.00017544300366817,most_frequent,normalize,,,,,extra_trees_preproc_for_regression,True,friedman_mse,None,1.0,None,9,2,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mae,None,0.9524455578856136,None,0.0,16,12,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-117,no_encoding,no_coalescense,,most_frequent,none,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.2031136218970144,,,0.340528001967228,,linear,-1,False,4.070347915643521e-05,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-120,one_hot_encoding,no_coalescense,,mean,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mae,None,0.6057227489297443,None,0.0,3,15,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-124,one_hot_encoding,no_coalescense,,median,quantile_transformer,1779,normal,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,4.957506578736309e-07,0.05200721900508807,least_squares,255,None,4,2,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-126,no_encoding,minority_coalescer,0.010222641912650656,median,quantile_transformer,1092,uniform,,,feature_agglomeration,,,,,,,,,,,,,,euclidean,ward,59,mean,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,adaboost,0.010571278032840276,linear,10,116,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-128,one_hot_encoding,minority_coalescer,0.010526018767545999,mean,none,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,6.329157022258742e-08,0.02818475036529399,least_squares,255,None,48,2,6,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-132,one_hot_encoding,minority_coalescer,0.0001745391328519669,most_frequent,robust_scaler,,,0.8057830372269097,0.24982831110057324,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.3621762718897781,fwe,f_regression,ard_regression,,,,,2.7664515192592053e-05,9.504988116581138e-07,True,6.50650698230178e-09,4.238533890074848e-07,300,78251.58542976103,0.0007301343236220855,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-136,one_hot_encoding,minority_coalescer,0.008225465238838799,most_frequent,quantile_transformer,709,uniform,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2.1305589487469477e-06,0.0002524679984945707,57.09316986719562,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-138,no_encoding,minority_coalescer,0.018981164720696175,median,minmax,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.03175182874113965,0.00030344963288406407,64164.586360277535,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-140,no_encoding,no_coalescense,,median,minmax,,,,,feature_agglomeration,,,,,,,,,,,,,,euclidean,average,272,median,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mse,None,0.5120356089629183,None,0.0,1,4,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-143,no_encoding,no_coalescense,,median,robust_scaler,,,0.7889051141669929,0.2253427527717258,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.3527536326193086,fdr,f_regression,extra_trees,,,,,,,,,,,,,,,,,,,,,True,mae,None,0.8877409763106398,None,0.0,10,3,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-147,one_hot_encoding,minority_coalescer,0.000182414424469489,most_frequent,none,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.3397218611778608,fpr,f_regression,ard_regression,,,,,0.0005329886143170782,1.5995559806728806e-07,True,9.79851482791022e-09,4.820060564227363e-08,300,77402.07012138714,0.00027806908943004945,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-150,no_encoding,minority_coalescer,0.005641404972103142,most_frequent,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,friedman_mse,None,0.9753131471779288,None,0.0,1,2,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-153,one_hot_encoding,minority_coalescer,0.00013899061331455512,mean,minmax,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.19203734614573903,fdr,f_regression,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.28764734226521,1.5934220315148466e-07,59443.23501615305,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-155,one_hot_encoding,minority_coalescer,0.0366721769670183,median,quantile_transformer,1000,uniform,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,False,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mse,None,1.0,None,0.0,3,12,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-158,one_hot_encoding,minority_coalescer,0.0001897686484596082,median,robust_scaler,,,0.7768342897092668,0.27222390764426924,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.00025503968621419157,1.161826998793312e-08,80.91415602800988,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-161,one_hot_encoding,no_coalescense,,mean,minmax,,,,,fast_ica,,,,,,,,,,deflation,cube,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,223.76455735355236,,2,0.001517791120341912,0.11103484780954016,rbf,-1,True,0.0015245364690368247,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-163,no_encoding,no_coalescense,,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,True,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.283161627129086,7.245332579977274e-08,36.28453043772396,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-167,no_encoding,no_coalescense,,median,none,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.4961646758349313,fpr,f_regression,decision_tree,,,,,,,,,,,,,mae,1.1554556329468342,1.0,None,0.0,20,14,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-169,no_encoding,minority_coalescer,0.024758956617535213,median,standardize,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.22888181300939214,fdr,f_regression,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,14.663900495367534,,4,0.0017630172009850445,0.02304400836020652,rbf,-1,False,0.01844898110925472,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-174,one_hot_encoding,no_coalescense,,most_frequent,none,,,,,fast_ica,,,,,,,,,,deflation,exp,671,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,ard_regression,,,,,4.124442820298477e-05,1.161663644436331e-06,True,1.5236144126449076e-09,0.00046882633285888015,300,86828.75337540788,0.0010379122151177183,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-176,one_hot_encoding,minority_coalescer,0.019566163649872924,most_frequent,robust_scaler,,,0.7200608810425068,0.22968043330398744,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.18539282936320728,fwe,f_regression,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mae,None,0.9029989558220115,None,0.0,1,2,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-178,no_encoding,minority_coalescer,0.002826818926767823,most_frequent,quantile_transformer,940,normal,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.1,fdr,f_regression,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1835.6434398469457,0.5949110211986679,2,0.004129875971416024,7.459736749397281e-05,poly,-1,True,0.015429047182283249,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-182,one_hot_encoding,minority_coalescer,0.006514462620801008,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,0.00956904848708048,0.028094986340152454,least_squares,255,None,154,13,20,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-185,no_encoding,minority_coalescer,0.005832981135631713,median,none,,,,,fast_ica,,,,,,,,,,parallel,exp,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1984.2957886752215,,2,0.0037512089540495315,0.01898396920165309,rbf,-1,True,2.8040110952036678e-05,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-186,no_encoding,minority_coalescer,0.010515112787842862,most_frequent,quantile_transformer,583,uniform,,,feature_agglomeration,,,,,,,,,,,,,,euclidean,average,5,mean,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.00015169626319121407,0.0006853872700383563,80227.86048666916,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-191,one_hot_encoding,minority_coalescer,0.039520728280417826,mean,minmax,,,,,kitchen_sinks,,,,,,,,,,,,,,,,,,,,,,,5.288249085278679,4176,,,,,,,,,,,,,,,,,,,,,,,liblinear_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,224.245634141281,False,0.009173958659191201,True,1,squared_epsilon_insensitive,1.9920161216131034e-05,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-193,no_encoding,no_coalescense,,mean,robust_scaler,,,0.7550402508982338,0.24842410508333093,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,True,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,6.238367840293606e-10,0.026111542610815466,least_squares,255,None,177,37,18,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-197,one_hot_encoding,minority_coalescer,0.008212209535832581,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.054214363629698496,5.913822061973022e-07,49143.56497731505,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-199,no_encoding,minority_coalescer,0.44467269258042313,most_frequent,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,6.676910625638355e-09,0.052530803029130685,least_squares,255,None,31,20,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-201,one_hot_encoding,no_coalescense,,mean,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,2.093528627734622e-10,0.056993947028442245,least_squares,255,None,96,7,20,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-205,no_encoding,minority_coalescer,0.09414191730578808,most_frequent,robust_scaler,,,0.7647308347062624,0.25612852139750486,feature_agglomeration,,,,,,,,,,,,,,cosine,average,25,mean,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,friedman_mse,None,0.9807290179215522,None,0.0,1,16,0.0,,,,,,,,,,,,feature_type
-207,one_hot_encoding,minority_coalescer,0.010000000000000004,mean,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,True,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,6.085630700044881e-10,0.12392806728650493,least_squares,255,None,31,25,7,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-211,no_encoding,no_coalescense,,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,180.22479438529933,,4,0.0012571604901280202,0.10272820821863678,rbf,-1,False,0.02945259690926852,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-214,one_hot_encoding,no_coalescense,,most_frequent,standardize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,True,,,,,,,,,,,,,sgd,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.00038839431353936653,False,,0.0007930509929393179,True,0.61724426807128,constant,squared_loss,elasticnet,,1.285973891441802e-05,feature_type
-217,one_hot_encoding,minority_coalescer,0.00013426375251483367,mean,quantile_transformer,1000,normal,,,extra_trees_preproc_for_regression,False,mae,None,0.9485456391530016,None,2,11,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,mae,None,1.0,None,0.0,1,5,0.0,,,,,,,,,,,,feature_type
-220,one_hot_encoding,minority_coalescer,0.0074901612162674314,median,quantile_transformer,1000,uniform,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.11837903484332993,fpr,f_regression,sgd,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.0009210650955968192,False,5.162916923614626e-05,0.010000000000000014,True,,invscaling,epsilon_insensitive,l1,0.25,0.0011697312333031576,feature_type
-222,no_encoding,no_coalescense,,most_frequent,quantile_transformer,1412,normal,,,feature_agglomeration,,,,,,,,,,,,,,manhattan,complete,103,max,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mae,None,0.14494079236825316,None,0.0,9,10,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-225,one_hot_encoding,minority_coalescer,0.010356286469647443,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,mlp,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,relu,6.108449182457731e-05,auto,0.9,0.999,valid,1e-08,3,0.00027704755935258253,32,101,True,adam,0.0001,0.1,,,,,,,,,,,,,,,,,,,,,feature_type
-228,no_encoding,minority_coalescer,0.0005112414168823774,median,standardize,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.4807408968132736,fdr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,5.775517309881741e-08,0.020024969424259676,least_squares,255,None,156,85,16,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-232,no_encoding,no_coalescense,,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,False,,,,,,,,,,,,,sgd,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.0006517033225329654,False,0.012150149892783745,0.016444224834275295,True,1.7462342366289323e-09,invscaling,epsilon_insensitive,elasticnet,0.21521743568582094,0.002431731981071206,feature_type
-235,one_hot_encoding,minority_coalescer,0.010000000000000004,most_frequent,standardize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.035440248140559884,1.142436233486746e-09,2235.498740920408,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-237,no_encoding,minority_coalescer,0.007741331259480108,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.020932011717701825,7.512295484675918e-08,427.92917011793116,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-240,one_hot_encoding,minority_coalescer,0.010000000000000004,mean,standardize,,,,,extra_trees_preproc_for_regression,True,friedman_mse,None,0.969236220539822,None,1,2,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.013068012551322245,2.979079708104577e-07,50599.0613366392,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-245,one_hot_encoding,minority_coalescer,0.052483220498897844,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.017488165983844263,4.199154538507709e-05,18825.14718012417,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-247,one_hot_encoding,minority_coalescer,0.014192135928954746,median,standardize,,,,,fast_ica,,,,,,,,,,deflation,exp,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1.4272136443763257,0.2694141260648879,2,0.10000000000000006,0.05757315877344016,poly,-1,False,0.0010000000000000002,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-251,no_encoding,no_coalescense,,median,standardize,,,,,extra_trees_preproc_for_regression,True,mae,None,0.7533134853493275,None,1,4,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,0.8025720428105109,0.2759754081799624,least_squares,255,None,18,172,11,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-253,no_encoding,minority_coalescer,0.26110798476806907,most_frequent,robust_scaler,,,0.7461372990016106,0.18481793818833603,extra_trees_preproc_for_regression,False,friedman_mse,None,0.754963329968397,None,13,20,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,True,mae,None,0.9353841799433302,None,0.0,20,8,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-257,one_hot_encoding,minority_coalescer,0.0216783950539192,mean,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,0.00010889929093369623,0.013461560146088193,least_squares,255,None,922,78,19,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-259,one_hot_encoding,no_coalescense,,median,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,False,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,False,mae,None,0.6818536175530396,None,0.0,11,11,0.0,,,,,,,,,,,,feature_type
-262,no_encoding,minority_coalescer,0.0017516626568532072,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.09414230179794553,1.3692618062770113e-09,15642.37580197983,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-265,one_hot_encoding,no_coalescense,,mean,standardize,,,,,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,24.560906712337708,f_regression,,,,decision_tree,,,,,,,,,,,,,mae,0.8468780775417923,1.0,None,0.0,9,17,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-269,no_encoding,minority_coalescer,0.11324357350799051,most_frequent,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,True,,,,,,,,,,,,,ard_regression,,,,,0.00014954470919422477,1.9262277034794773e-08,True,0.00022496118017024456,0.00042674670526235496,300,35523.21377524326,0.007079692553060248,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-270,one_hot_encoding,no_coalescense,,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.018036515123556758,5.016705964050539e-07,61163.021227932,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-274,one_hot_encoding,minority_coalescer,0.0002682359625135144,mean,quantile_transformer,1567,uniform,,,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,85.70259306141033,f_regression,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,6.536723381440492e-05,0.03940103065495631,least_squares,255,None,77,9,7,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-276,one_hot_encoding,no_coalescense,,median,minmax,,,,,pca,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.991729015298316,True,,,,,,,,,,,,,,,,adaboost,0.019011223549222432,linear,9,395,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-279,no_encoding,minority_coalescer,0.4873131661139947,mean,standardize,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.43441750135120694,fpr,f_regression,k_nearest_neighbors,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,2,distance,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-282,one_hot_encoding,minority_coalescer,0.026353623217953964,mean,none,,,,,extra_trees_preproc_for_regression,True,friedman_mse,None,0.8609499435062687,None,9,15,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.023379450779571848,2.659222467552488e-10,292.5678884045162,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-285,no_encoding,no_coalescense,,mean,minmax,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.2186105871515939,fdr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,0.10377482408306521,0.016255400771699312,least_squares,255,None,65,70,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+idx,data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__,data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__,data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction,data_preprocessor:feature_type:numerical_transformer:imputation:strategy,data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__,data_preprocessor:feature_type:numerical_transformer:rescaling:quantile_transformer:n_quantiles,data_preprocessor:feature_type:numerical_transformer:rescaling:quantile_transformer:output_distribution,data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_max,data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_min,feature_preprocessor:__choice__,feature_preprocessor:extra_trees_preproc_for_regression:bootstrap,feature_preprocessor:extra_trees_preproc_for_regression:criterion,feature_preprocessor:extra_trees_preproc_for_regression:max_depth,feature_preprocessor:extra_trees_preproc_for_regression:max_features,feature_preprocessor:extra_trees_preproc_for_regression:max_leaf_nodes,feature_preprocessor:extra_trees_preproc_for_regression:min_samples_leaf,feature_preprocessor:extra_trees_preproc_for_regression:min_samples_split,feature_preprocessor:extra_trees_preproc_for_regression:min_weight_fraction_leaf,feature_preprocessor:extra_trees_preproc_for_regression:n_estimators,feature_preprocessor:fast_ica:algorithm,feature_preprocessor:fast_ica:fun,feature_preprocessor:fast_ica:n_components,feature_preprocessor:fast_ica:whiten,feature_preprocessor:feature_agglomeration:affinity,feature_preprocessor:feature_agglomeration:linkage,feature_preprocessor:feature_agglomeration:n_clusters,feature_preprocessor:feature_agglomeration:pooling_func,feature_preprocessor:kernel_pca:coef0,feature_preprocessor:kernel_pca:degree,feature_preprocessor:kernel_pca:gamma,feature_preprocessor:kernel_pca:kernel,feature_preprocessor:kernel_pca:n_components,feature_preprocessor:kitchen_sinks:gamma,feature_preprocessor:kitchen_sinks:n_components,feature_preprocessor:nystroem_sampler:coef0,feature_preprocessor:nystroem_sampler:degree,feature_preprocessor:nystroem_sampler:gamma,feature_preprocessor:nystroem_sampler:kernel,feature_preprocessor:nystroem_sampler:n_components,feature_preprocessor:pca:keep_variance,feature_preprocessor:pca:whiten,feature_preprocessor:polynomial:degree,feature_preprocessor:polynomial:include_bias,feature_preprocessor:polynomial:interaction_only,feature_preprocessor:random_trees_embedding:bootstrap,feature_preprocessor:random_trees_embedding:max_depth,feature_preprocessor:random_trees_embedding:max_leaf_nodes,feature_preprocessor:random_trees_embedding:min_samples_leaf,feature_preprocessor:random_trees_embedding:min_samples_split,feature_preprocessor:random_trees_embedding:min_weight_fraction_leaf,feature_preprocessor:random_trees_embedding:n_estimators,feature_preprocessor:select_percentile_regression:percentile,feature_preprocessor:select_percentile_regression:score_func,feature_preprocessor:select_rates_regression:alpha,feature_preprocessor:select_rates_regression:mode,feature_preprocessor:select_rates_regression:score_func,regressor:__choice__,regressor:adaboost:learning_rate,regressor:adaboost:loss,regressor:adaboost:max_depth,regressor:adaboost:n_estimators,regressor:ard_regression:alpha_1,regressor:ard_regression:alpha_2,regressor:ard_regression:fit_intercept,regressor:ard_regression:lambda_1,regressor:ard_regression:lambda_2,regressor:ard_regression:n_iter,regressor:ard_regression:threshold_lambda,regressor:ard_regression:tol,regressor:decision_tree:criterion,regressor:decision_tree:max_depth_factor,regressor:decision_tree:max_features,regressor:decision_tree:max_leaf_nodes,regressor:decision_tree:min_impurity_decrease,regressor:decision_tree:min_samples_leaf,regressor:decision_tree:min_samples_split,regressor:decision_tree:min_weight_fraction_leaf,regressor:extra_trees:bootstrap,regressor:extra_trees:criterion,regressor:extra_trees:max_depth,regressor:extra_trees:max_features,regressor:extra_trees:max_leaf_nodes,regressor:extra_trees:min_impurity_decrease,regressor:extra_trees:min_samples_leaf,regressor:extra_trees:min_samples_split,regressor:extra_trees:min_weight_fraction_leaf,regressor:gaussian_process:alpha,regressor:gaussian_process:thetaL,regressor:gaussian_process:thetaU,regressor:gradient_boosting:early_stop,regressor:gradient_boosting:l2_regularization,regressor:gradient_boosting:learning_rate,regressor:gradient_boosting:loss,regressor:gradient_boosting:max_bins,regressor:gradient_boosting:max_depth,regressor:gradient_boosting:max_leaf_nodes,regressor:gradient_boosting:min_samples_leaf,regressor:gradient_boosting:n_iter_no_change,regressor:gradient_boosting:scoring,regressor:gradient_boosting:tol,regressor:gradient_boosting:validation_fraction,regressor:k_nearest_neighbors:n_neighbors,regressor:k_nearest_neighbors:p,regressor:k_nearest_neighbors:weights,regressor:liblinear_svr:C,regressor:liblinear_svr:dual,regressor:liblinear_svr:epsilon,regressor:liblinear_svr:fit_intercept,regressor:liblinear_svr:intercept_scaling,regressor:liblinear_svr:loss,regressor:liblinear_svr:tol,regressor:libsvm_svr:C,regressor:libsvm_svr:coef0,regressor:libsvm_svr:degree,regressor:libsvm_svr:epsilon,regressor:libsvm_svr:gamma,regressor:libsvm_svr:kernel,regressor:libsvm_svr:max_iter,regressor:libsvm_svr:shrinking,regressor:libsvm_svr:tol,regressor:mlp:activation,regressor:mlp:alpha,regressor:mlp:batch_size,regressor:mlp:beta_1,regressor:mlp:beta_2,regressor:mlp:early_stopping,regressor:mlp:epsilon,regressor:mlp:hidden_layer_depth,regressor:mlp:learning_rate_init,regressor:mlp:n_iter_no_change,regressor:mlp:num_nodes_per_layer,regressor:mlp:shuffle,regressor:mlp:solver,regressor:mlp:tol,regressor:mlp:validation_fraction,regressor:random_forest:bootstrap,regressor:random_forest:criterion,regressor:random_forest:max_depth,regressor:random_forest:max_features,regressor:random_forest:max_leaf_nodes,regressor:random_forest:min_impurity_decrease,regressor:random_forest:min_samples_leaf,regressor:random_forest:min_samples_split,regressor:random_forest:min_weight_fraction_leaf,regressor:sgd:alpha,regressor:sgd:average,regressor:sgd:epsilon,regressor:sgd:eta0,regressor:sgd:fit_intercept,regressor:sgd:l1_ratio,regressor:sgd:learning_rate,regressor:sgd:loss,regressor:sgd:penalty,regressor:sgd:power_t,regressor:sgd:tol,data_preprocessor:__choice__
+2,no_encoding,no_coalescense,,mean,quantile_transformer,11,normal,,,feature_agglomeration,,,,,,,,,,,,,,euclidean,complete,25,median,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.0013353328453618832,1.8649142010631853e-07,3552.37611286252,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+6,no_encoding,no_coalescense,,median,minmax,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,True,friedman_mse,None,0.9749597494965978,None,0.0,4,2,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+7,one_hot_encoding,no_coalescense,,most_frequent,quantile_transformer,809,uniform,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,True,,,,,,,,,,,,,sgd,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.01806079811541296,False,,0.015540128437738566,True,0.9326390049807726,constant,squared_loss,elasticnet,,0.00010576654619459039,feature_type
+12,no_encoding,minority_coalescer,0.43459780721179087,median,quantile_transformer,157,uniform,,,feature_agglomeration,,,,,,,,,,,,,,cosine,complete,230,mean,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1.8163213580890267e-13,3.018233262270109e-06,302.06769747934663,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+14,no_encoding,minority_coalescer,0.07108590272810227,median,minmax,,,,,extra_trees_preproc_for_regression,False,mae,None,1.0,None,2,3,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,True,mae,None,1.0,None,0.0,9,19,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+16,no_encoding,minority_coalescer,0.006961574439410704,mean,minmax,,,,,fast_ica,,,,,,,,,,deflation,exp,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,24.849437092408927,,,0.0010072349709912712,0.2620770817035318,rbf,-1,False,0.043415935783161747,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+20,one_hot_encoding,minority_coalescer,0.0015545063839819278,most_frequent,normalize,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,decision_tree,,,,,,,,,,,,,mae,0.7595438766001632,1.0,None,0.0,19,18,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+22,one_hot_encoding,no_coalescense,,mean,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,adaboost,0.8420513715405185,square,10,480,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+26,no_encoding,no_coalescense,,mean,robust_scaler,,,0.7194207293244546,0.25,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,False,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,1e-10,0.04073473488071534,least_squares,255,None,22,4,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+29,one_hot_encoding,minority_coalescer,0.019250695324004172,mean,robust_scaler,,,0.7578716752945609,0.2564985900301251,pca,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.9701517204674619,True,,,,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,False,mae,None,0.896118178311832,None,0.0,14,5,0.0,,,,,,,,,,,,feature_type
+31,one_hot_encoding,minority_coalescer,0.0001745391328519669,most_frequent,robust_scaler,,,0.8057830372269097,0.24982831110057324,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.3621762718897781,fwe,f_regression,ard_regression,,,,,2.7664515192592053e-05,9.504988116581138e-07,True,6.50650698230178e-09,4.238533890074848e-07,300,78251.58542976103,0.0007301343236220855,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+34,one_hot_encoding,no_coalescense,,most_frequent,quantile_transformer,952,uniform,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,1.8428972335335263e-10,0.012607824914758717,least_squares,255,None,10,8,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+38,no_encoding,minority_coalescer,0.16100794776610894,median,robust_scaler,,,0.7171413959739553,0.13004136466339758,feature_agglomeration,,,,,,,,,,,,,,euclidean,complete,170,mean,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,False,mae,None,0.35533840599344335,None,0.0,4,3,0.0,,,,,,,,,,,,feature_type
+40,no_encoding,minority_coalescer,0.032459358237118964,mean,quantile_transformer,245,normal,,,fast_ica,,,,,,,,,,parallel,exp,1538,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.010616529299999268,3.3168147703951036e-07,4.182958258383621,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+43,no_encoding,no_coalescense,,mean,standardize,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.034904198000955684,fdr,f_regression,liblinear_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,35.012615180923554,False,0.7326132441316412,True,1,squared_epsilon_insensitive,0.00012982617662684841,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+46,no_encoding,no_coalescense,,most_frequent,quantile_transformer,1000,uniform,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.3202682286326904,fwe,f_regression,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,mae,None,0.9087389932117044,None,0.0,1,4,0.0,,,,,,,,,,,,feature_type
+50,one_hot_encoding,minority_coalescer,0.01047631022335275,median,minmax,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,True,mse,None,0.5535883939348928,None,0.0,2,16,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+52,no_encoding,minority_coalescer,0.00037751305802594386,most_frequent,robust_scaler,,,0.8759400736837674,0.13221781341594682,fast_ica,,,,,,,,,,parallel,cube,697,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.029453991772614846,1.1450968194422473e-08,236.5906050407108,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+56,one_hot_encoding,minority_coalescer,0.00045833372603169316,most_frequent,minmax,,,,,random_trees_embedding,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,False,4,None,5,13,1.0,95,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,False,mae,None,0.7632599342253943,None,0.0,6,3,0.0,,,,,,,,,,,,feature_type
+58,one_hot_encoding,no_coalescense,,median,standardize,,,,,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,22.538520410186127,f_regression,,,,liblinear_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.036388789196735646,False,0.0012739627397164333,True,1,squared_epsilon_insensitive,0.020180468804448126,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+63,no_encoding,no_coalescense,,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,True,mse,None,0.9615263480351033,None,0.0,1,2,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+64,one_hot_encoding,minority_coalescer,0.010000000000000004,most_frequent,robust_scaler,,,0.7430978207309135,0.25,extra_trees_preproc_for_regression,False,mae,None,0.7005907957964752,None,10,3,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mae,None,0.18534500736841375,None,0.0,20,11,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+67,no_encoding,no_coalescense,,most_frequent,standardize,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,0.03924332738035384,0.049768184173431644,least_squares,255,None,3,3,2,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+71,no_encoding,minority_coalescer,0.006510624355014198,most_frequent,minmax,,,,,pca,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.5230616735264457,True,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,19.854915227109338,,,0.007017972966409939,,linear,-1,True,9.038240422247689e-05,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+74,one_hot_encoding,no_coalescense,,mean,none,,,,,feature_agglomeration,,,,,,,,,,,,,,cosine,complete,117,max,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.055180212426724,5.905140233631545e-07,1471.9250770888395,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+77,no_encoding,minority_coalescer,0.28144748021848814,mean,robust_scaler,,,0.8771493204875395,0.13693823573634356,fast_ica,,,,,,,,,,deflation,cube,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,friedman_mse,None,1.0,None,0.0,1,2,0.0,,,,,,,,,,,,feature_type
+79,no_encoding,minority_coalescer,0.042366198588653134,most_frequent,minmax,,,,,fast_ica,,,,,,,,,,deflation,logcosh,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,7277.320824640944,,,0.0013490872095510865,0.03233188643981015,rbf,-1,True,0.0034607903098849255,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+82,no_encoding,minority_coalescer,0.05607310321489163,mean,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,28831.968873651404,0.39386733846748023,3,0.12370783564202235,0.0026233747431769617,poly,-1,True,4.714268123196739e-05,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+86,one_hot_encoding,no_coalescense,,most_frequent,standardize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,ard_regression,,,,,0.0003701926442639788,2.2118001735899097e-07,True,1.2037591637980971e-06,4.358378124977852e-09,300,1136.5286041327277,0.021944240404849075,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+90,no_encoding,no_coalescense,,most_frequent,robust_scaler,,,0.9967561696478335,0.026240229529164848,feature_agglomeration,,,,,,,,,,,,,,euclidean,ward,25,max,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,valid,1e-10,0.10799112896135016,least_squares,255,None,31,23,6,loss,1e-07,0.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+91,one_hot_encoding,minority_coalescer,0.007279393188444156,most_frequent,robust_scaler,,,0.8268531657356266,0.12229287307944404,pca,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.9091333546205435,True,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,845.5038204708214,,,0.0029756081510812445,0.02954207864444914,rbf,-1,True,0.018999658720438555,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+93,one_hot_encoding,no_coalescense,,most_frequent,quantile_transformer,1148,uniform,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.14778326778462142,fpr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,1.7962284970386197e-10,0.05156555327055447,least_squares,255,None,35,12,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+98,one_hot_encoding,minority_coalescer,0.0003901993361129805,most_frequent,robust_scaler,,,0.7928201883580988,0.11402818686496194,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,k_nearest_neighbors,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,1,distance,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+100,one_hot_encoding,minority_coalescer,0.0004074198580703139,mean,robust_scaler,,,0.9330606970563508,0.2761356138672697,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,adaboost,0.028345285546561846,linear,10,174,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+102,no_encoding,minority_coalescer,0.00829519231049576,mean,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,ard_regression,,,,,4.7044575285722365e-05,0.000629863807127318,True,7.584067704707025e-10,3.923255608410879e-08,300,4052.403778957396,0.009359388994186051,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+104,no_encoding,no_coalescense,,mean,standardize,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,mlp,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,relu,0.00034869363637350924,auto,0.9,0.999,train,1e-08,2,0.00011524903693777931,32,31,True,adam,0.0001,,,,,,,,,,,,,,,,,,,,,,feature_type
+107,no_encoding,no_coalescense,,mean,robust_scaler,,,0.7727512096172742,0.22461598115758682,feature_agglomeration,,,,,,,,,,,,,,manhattan,complete,21,max,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,2.208787572338781e-05,0.036087332404571744,least_squares,255,None,64,3,18,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+110,no_encoding,minority_coalescer,0.0006869013905922761,mean,quantile_transformer,1352,normal,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.07357548990881542,fpr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,3.20414911914726e-10,0.1279702444496931,least_squares,255,None,63,19,8,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+114,no_encoding,minority_coalescer,0.00017544300366817,most_frequent,normalize,,,,,extra_trees_preproc_for_regression,True,friedman_mse,None,1.0,None,9,2,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mae,None,0.9524455578856136,None,0.0,16,12,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+117,no_encoding,no_coalescense,,most_frequent,none,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.2031136218970144,,,0.340528001967228,,linear,-1,False,4.070347915643521e-05,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+120,one_hot_encoding,no_coalescense,,mean,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mae,None,0.6057227489297443,None,0.0,3,15,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+124,one_hot_encoding,no_coalescense,,median,quantile_transformer,1779,normal,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,4.957506578736309e-07,0.05200721900508807,least_squares,255,None,4,2,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+126,no_encoding,minority_coalescer,0.010222641912650656,median,quantile_transformer,1092,uniform,,,feature_agglomeration,,,,,,,,,,,,,,euclidean,ward,59,mean,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,adaboost,0.010571278032840276,linear,10,116,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+128,one_hot_encoding,minority_coalescer,0.010526018767545999,mean,none,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,6.329157022258742e-08,0.02818475036529399,least_squares,255,None,48,2,6,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+132,one_hot_encoding,minority_coalescer,0.0001745391328519669,most_frequent,robust_scaler,,,0.8057830372269097,0.24982831110057324,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.3621762718897781,fwe,f_regression,ard_regression,,,,,2.7664515192592053e-05,9.504988116581138e-07,True,6.50650698230178e-09,4.238533890074848e-07,300,78251.58542976103,0.0007301343236220855,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+136,one_hot_encoding,minority_coalescer,0.008225465238838799,most_frequent,quantile_transformer,709,uniform,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2.1305589487469477e-06,0.0002524679984945707,57.09316986719562,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+138,no_encoding,minority_coalescer,0.018981164720696175,median,minmax,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.03175182874113965,0.00030344963288406407,64164.586360277535,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+140,no_encoding,no_coalescense,,median,minmax,,,,,feature_agglomeration,,,,,,,,,,,,,,euclidean,average,272,median,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mse,None,0.5120356089629183,None,0.0,1,4,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+143,no_encoding,no_coalescense,,median,robust_scaler,,,0.7889051141669929,0.2253427527717258,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.3527536326193086,fdr,f_regression,extra_trees,,,,,,,,,,,,,,,,,,,,,True,mae,None,0.8877409763106398,None,0.0,10,3,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+147,one_hot_encoding,minority_coalescer,0.000182414424469489,most_frequent,none,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.3397218611778608,fpr,f_regression,ard_regression,,,,,0.0005329886143170782,1.5995559806728806e-07,True,9.79851482791022e-09,4.820060564227363e-08,300,77402.07012138714,0.00027806908943004945,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+150,no_encoding,minority_coalescer,0.005641404972103142,most_frequent,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,friedman_mse,None,0.9753131471779288,None,0.0,1,2,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+153,one_hot_encoding,minority_coalescer,0.00013899061331455512,mean,minmax,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.19203734614573903,fdr,f_regression,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.28764734226521,1.5934220315148466e-07,59443.23501615305,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+155,one_hot_encoding,minority_coalescer,0.0366721769670183,median,quantile_transformer,1000,uniform,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,False,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mse,None,1.0,None,0.0,3,12,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+158,one_hot_encoding,minority_coalescer,0.0001897686484596082,median,robust_scaler,,,0.7768342897092668,0.27222390764426924,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.00025503968621419157,1.161826998793312e-08,80.91415602800988,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+161,one_hot_encoding,no_coalescense,,mean,minmax,,,,,fast_ica,,,,,,,,,,deflation,cube,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,223.76455735355236,,,0.001517791120341912,0.11103484780954016,rbf,-1,True,0.0015245364690368247,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+163,no_encoding,no_coalescense,,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,True,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.283161627129086,7.245332579977274e-08,36.28453043772396,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+167,no_encoding,no_coalescense,,median,none,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.4961646758349313,fpr,f_regression,decision_tree,,,,,,,,,,,,,mae,1.1554556329468342,1.0,None,0.0,20,14,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+169,no_encoding,minority_coalescer,0.024758956617535213,median,standardize,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.22888181300939214,fdr,f_regression,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,14.663900495367534,,,0.0017630172009850445,0.02304400836020652,rbf,-1,False,0.01844898110925472,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+174,one_hot_encoding,no_coalescense,,most_frequent,none,,,,,fast_ica,,,,,,,,,,deflation,exp,671,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,ard_regression,,,,,4.124442820298477e-05,1.161663644436331e-06,True,1.5236144126449076e-09,0.00046882633285888015,300,86828.75337540788,0.0010379122151177183,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+176,one_hot_encoding,minority_coalescer,0.019566163649872924,most_frequent,robust_scaler,,,0.7200608810425068,0.22968043330398744,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.18539282936320728,fwe,f_regression,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mae,None,0.9029989558220115,None,0.0,1,2,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+178,no_encoding,minority_coalescer,0.002826818926767823,most_frequent,quantile_transformer,940,normal,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.1,fdr,f_regression,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1835.6434398469457,0.5949110211986679,2,0.004129875971416024,7.459736749397281e-05,poly,-1,True,0.015429047182283249,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+182,one_hot_encoding,minority_coalescer,0.006514462620801008,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,0.00956904848708048,0.028094986340152454,least_squares,255,None,154,13,20,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+185,no_encoding,minority_coalescer,0.005832981135631713,median,none,,,,,fast_ica,,,,,,,,,,parallel,exp,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1984.2957886752215,,,0.0037512089540495315,0.01898396920165309,rbf,-1,True,2.8040110952036678e-05,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+186,no_encoding,minority_coalescer,0.010515112787842862,most_frequent,quantile_transformer,583,uniform,,,feature_agglomeration,,,,,,,,,,,,,,euclidean,average,5,mean,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.00015169626319121407,0.0006853872700383563,80227.86048666916,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+191,one_hot_encoding,minority_coalescer,0.039520728280417826,mean,minmax,,,,,kitchen_sinks,,,,,,,,,,,,,,,,,,,,,,,5.288249085278679,4176,,,,,,,,,,,,,,,,,,,,,,,liblinear_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,224.245634141281,False,0.009173958659191201,True,1,squared_epsilon_insensitive,1.9920161216131034e-05,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+193,no_encoding,no_coalescense,,mean,robust_scaler,,,0.7550402508982338,0.24842410508333093,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,True,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,6.238367840293606e-10,0.026111542610815466,least_squares,255,None,177,37,18,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+197,one_hot_encoding,minority_coalescer,0.008212209535832581,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.054214363629698496,5.913822061973022e-07,49143.56497731505,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+199,no_encoding,minority_coalescer,0.44467269258042313,most_frequent,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,6.676910625638355e-09,0.052530803029130685,least_squares,255,None,31,20,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+201,one_hot_encoding,no_coalescense,,mean,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,2.093528627734622e-10,0.056993947028442245,least_squares,255,None,96,7,20,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+205,no_encoding,minority_coalescer,0.09414191730578808,most_frequent,robust_scaler,,,0.7647308347062624,0.25612852139750486,feature_agglomeration,,,,,,,,,,,,,,cosine,average,25,mean,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,friedman_mse,None,0.9807290179215522,None,0.0,1,16,0.0,,,,,,,,,,,,feature_type
+207,one_hot_encoding,minority_coalescer,0.010000000000000004,mean,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,True,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,6.085630700044881e-10,0.12392806728650493,least_squares,255,None,31,25,7,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+211,no_encoding,no_coalescense,,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,180.22479438529933,,,0.0012571604901280202,0.10272820821863678,rbf,-1,False,0.02945259690926852,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+214,one_hot_encoding,no_coalescense,,most_frequent,standardize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,True,,,,,,,,,,,,,sgd,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.00038839431353936653,False,,0.0007930509929393179,True,0.61724426807128,constant,squared_loss,elasticnet,,1.285973891441802e-05,feature_type
+217,one_hot_encoding,minority_coalescer,0.00013426375251483367,mean,quantile_transformer,1000,normal,,,extra_trees_preproc_for_regression,False,mae,None,0.9485456391530016,None,2,11,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,mae,None,1.0,None,0.0,1,5,0.0,,,,,,,,,,,,feature_type
+220,one_hot_encoding,minority_coalescer,0.0074901612162674314,median,quantile_transformer,1000,uniform,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.11837903484332993,fpr,f_regression,sgd,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.0009210650955968192,False,5.162916923614626e-05,0.010000000000000014,True,,invscaling,epsilon_insensitive,l1,0.25,0.0011697312333031576,feature_type
+222,no_encoding,no_coalescense,,most_frequent,quantile_transformer,1412,normal,,,feature_agglomeration,,,,,,,,,,,,,,manhattan,complete,103,max,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mae,None,0.14494079236825316,None,0.0,9,10,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+225,one_hot_encoding,minority_coalescer,0.010356286469647443,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,mlp,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,relu,6.108449182457731e-05,auto,0.9,0.999,valid,1e-08,3,0.00027704755935258253,32,101,True,adam,0.0001,0.1,,,,,,,,,,,,,,,,,,,,,feature_type
+228,no_encoding,minority_coalescer,0.0005112414168823774,median,standardize,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.4807408968132736,fdr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,5.775517309881741e-08,0.020024969424259676,least_squares,255,None,156,85,16,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+232,no_encoding,no_coalescense,,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,False,,,,,,,,,,,,,sgd,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.0006517033225329654,False,0.012150149892783745,0.016444224834275295,True,1.7462342366289323e-09,invscaling,epsilon_insensitive,elasticnet,0.21521743568582094,0.002431731981071206,feature_type
+235,one_hot_encoding,minority_coalescer,0.010000000000000004,most_frequent,standardize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.035440248140559884,1.142436233486746e-09,2235.498740920408,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+237,no_encoding,minority_coalescer,0.007741331259480108,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.020932011717701825,7.512295484675918e-08,427.92917011793116,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+240,one_hot_encoding,minority_coalescer,0.010000000000000004,mean,standardize,,,,,extra_trees_preproc_for_regression,True,friedman_mse,None,0.969236220539822,None,1,2,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.013068012551322245,2.979079708104577e-07,50599.0613366392,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+245,one_hot_encoding,minority_coalescer,0.052483220498897844,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.017488165983844263,4.199154538507709e-05,18825.14718012417,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+247,one_hot_encoding,minority_coalescer,0.014192135928954746,median,standardize,,,,,fast_ica,,,,,,,,,,deflation,exp,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1.4272136443763257,0.2694141260648879,2,0.10000000000000006,0.05757315877344016,poly,-1,False,0.0010000000000000002,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+251,no_encoding,no_coalescense,,median,standardize,,,,,extra_trees_preproc_for_regression,True,mae,None,0.7533134853493275,None,1,4,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,0.8025720428105109,0.2759754081799624,least_squares,255,None,18,172,11,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+253,no_encoding,minority_coalescer,0.26110798476806907,most_frequent,robust_scaler,,,0.7461372990016106,0.18481793818833603,extra_trees_preproc_for_regression,False,friedman_mse,None,0.754963329968397,None,13,20,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,True,mae,None,0.9353841799433302,None,0.0,20,8,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+257,one_hot_encoding,minority_coalescer,0.0216783950539192,mean,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,0.00010889929093369623,0.013461560146088193,least_squares,255,None,922,78,19,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+259,one_hot_encoding,no_coalescense,,median,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,False,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,False,mae,None,0.6818536175530396,None,0.0,11,11,0.0,,,,,,,,,,,,feature_type
+262,no_encoding,minority_coalescer,0.0017516626568532072,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.09414230179794553,1.3692618062770113e-09,15642.37580197983,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+265,one_hot_encoding,no_coalescense,,mean,standardize,,,,,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,24.560906712337708,f_regression,,,,decision_tree,,,,,,,,,,,,,mae,0.8468780775417923,1.0,None,0.0,9,17,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+269,no_encoding,minority_coalescer,0.11324357350799051,most_frequent,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,True,,,,,,,,,,,,,ard_regression,,,,,0.00014954470919422477,1.9262277034794773e-08,True,0.00022496118017024456,0.00042674670526235496,300,35523.21377524326,0.007079692553060248,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+270,one_hot_encoding,no_coalescense,,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.018036515123556758,5.016705964050539e-07,61163.021227932,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+274,one_hot_encoding,minority_coalescer,0.0002682359625135144,mean,quantile_transformer,1567,uniform,,,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,85.70259306141033,f_regression,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,6.536723381440492e-05,0.03940103065495631,least_squares,255,None,77,9,7,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+276,one_hot_encoding,no_coalescense,,median,minmax,,,,,pca,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.991729015298316,True,,,,,,,,,,,,,,,,adaboost,0.019011223549222432,linear,9,395,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+279,no_encoding,minority_coalescer,0.4873131661139947,mean,standardize,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.43441750135120694,fpr,f_regression,k_nearest_neighbors,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,2,distance,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+282,one_hot_encoding,minority_coalescer,0.026353623217953964,mean,none,,,,,extra_trees_preproc_for_regression,True,friedman_mse,None,0.8609499435062687,None,9,15,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.023379450779571848,2.659222467552488e-10,292.5678884045162,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+285,no_encoding,no_coalescense,,mean,minmax,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.2186105871515939,fdr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,0.10377482408306521,0.016255400771699312,least_squares,255,None,65,70,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
diff --git a/autosklearn/metalearning/files/mean_absolute_error_regression_sparse/configurations.csv b/autosklearn/metalearning/files/mean_absolute_error_regression_sparse/configurations.csv
index 29e87b202f..2b990c9d14 100644
--- a/autosklearn/metalearning/files/mean_absolute_error_regression_sparse/configurations.csv
+++ b/autosklearn/metalearning/files/mean_absolute_error_regression_sparse/configurations.csv
@@ -1,98 +1,98 @@
-idx,data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__,data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__,data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction,data_preprocessor:feature_type:numerical_transformer:imputation:strategy,data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__,data_preprocessor:feature_type:numerical_transformer:rescaling:quantile_transformer:n_quantiles,data_preprocessor:feature_type:numerical_transformer:rescaling:quantile_transformer:output_distribution,data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_max,data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_min,feature_preprocessor:__choice__,feature_preprocessor:extra_trees_preproc_for_regression:bootstrap,feature_preprocessor:extra_trees_preproc_for_regression:criterion,feature_preprocessor:extra_trees_preproc_for_regression:max_depth,feature_preprocessor:extra_trees_preproc_for_regression:max_features,feature_preprocessor:extra_trees_preproc_for_regression:max_leaf_nodes,feature_preprocessor:extra_trees_preproc_for_regression:min_samples_leaf,feature_preprocessor:extra_trees_preproc_for_regression:min_samples_split,feature_preprocessor:extra_trees_preproc_for_regression:min_weight_fraction_leaf,feature_preprocessor:extra_trees_preproc_for_regression:n_estimators,feature_preprocessor:fast_ica:algorithm,feature_preprocessor:fast_ica:fun,feature_preprocessor:fast_ica:n_components,feature_preprocessor:fast_ica:whiten,feature_preprocessor:feature_agglomeration:affinity,feature_preprocessor:feature_agglomeration:linkage,feature_preprocessor:feature_agglomeration:n_clusters,feature_preprocessor:feature_agglomeration:pooling_func,feature_preprocessor:kernel_pca:coef0,feature_preprocessor:kernel_pca:degree,feature_preprocessor:kernel_pca:gamma,feature_preprocessor:kernel_pca:kernel,feature_preprocessor:kernel_pca:n_components,feature_preprocessor:kitchen_sinks:gamma,feature_preprocessor:kitchen_sinks:n_components,feature_preprocessor:nystroem_sampler:coef0,feature_preprocessor:nystroem_sampler:degree,feature_preprocessor:nystroem_sampler:gamma,feature_preprocessor:nystroem_sampler:kernel,feature_preprocessor:nystroem_sampler:n_components,feature_preprocessor:pca:keep_variance,feature_preprocessor:pca:whiten,feature_preprocessor:polynomial:degree,feature_preprocessor:polynomial:include_bias,feature_preprocessor:polynomial:interaction_only,feature_preprocessor:random_trees_embedding:bootstrap,feature_preprocessor:random_trees_embedding:max_depth,feature_preprocessor:random_trees_embedding:max_leaf_nodes,feature_preprocessor:random_trees_embedding:min_samples_leaf,feature_preprocessor:random_trees_embedding:min_samples_split,feature_preprocessor:random_trees_embedding:min_weight_fraction_leaf,feature_preprocessor:random_trees_embedding:n_estimators,feature_preprocessor:select_percentile_regression:percentile,feature_preprocessor:select_percentile_regression:score_func,feature_preprocessor:select_rates_regression:alpha,feature_preprocessor:select_rates_regression:mode,feature_preprocessor:select_rates_regression:score_func,regressor:__choice__,regressor:adaboost:learning_rate,regressor:adaboost:loss,regressor:adaboost:max_depth,regressor:adaboost:n_estimators,regressor:ard_regression:alpha_1,regressor:ard_regression:alpha_2,regressor:ard_regression:fit_intercept,regressor:ard_regression:lambda_1,regressor:ard_regression:lambda_2,regressor:ard_regression:n_iter,regressor:ard_regression:threshold_lambda,regressor:ard_regression:tol,regressor:decision_tree:criterion,regressor:decision_tree:max_depth_factor,regressor:decision_tree:max_features,regressor:decision_tree:max_leaf_nodes,regressor:decision_tree:min_impurity_decrease,regressor:decision_tree:min_samples_leaf,regressor:decision_tree:min_samples_split,regressor:decision_tree:min_weight_fraction_leaf,regressor:extra_trees:bootstrap,regressor:extra_trees:criterion,regressor:extra_trees:max_depth,regressor:extra_trees:max_features,regressor:extra_trees:max_leaf_nodes,regressor:extra_trees:min_impurity_decrease,regressor:extra_trees:min_samples_leaf,regressor:extra_trees:min_samples_split,regressor:extra_trees:min_weight_fraction_leaf,regressor:gaussian_process:alpha,regressor:gaussian_process:thetaL,regressor:gaussian_process:thetaU,regressor:gradient_boosting:early_stop,regressor:gradient_boosting:l2_regularization,regressor:gradient_boosting:learning_rate,regressor:gradient_boosting:loss,regressor:gradient_boosting:max_bins,regressor:gradient_boosting:max_depth,regressor:gradient_boosting:max_leaf_nodes,regressor:gradient_boosting:min_samples_leaf,regressor:gradient_boosting:n_iter_no_change,regressor:gradient_boosting:scoring,regressor:gradient_boosting:tol,regressor:gradient_boosting:validation_fraction,regressor:k_nearest_neighbors:n_neighbors,regressor:k_nearest_neighbors:p,regressor:k_nearest_neighbors:weights,regressor:liblinear_svr:C,regressor:liblinear_svr:dual,regressor:liblinear_svr:epsilon,regressor:liblinear_svr:fit_intercept,regressor:liblinear_svr:intercept_scaling,regressor:liblinear_svr:loss,regressor:liblinear_svr:tol,regressor:libsvm_svr:C,regressor:libsvm_svr:coef0,regressor:libsvm_svr:degree,regressor:libsvm_svr:epsilon,regressor:libsvm_svr:gamma,regressor:libsvm_svr:kernel,regressor:libsvm_svr:max_iter,regressor:libsvm_svr:shrinking,regressor:libsvm_svr:tol,regressor:mlp:activation,regressor:mlp:alpha,regressor:mlp:batch_size,regressor:mlp:beta_1,regressor:mlp:beta_2,regressor:mlp:early_stopping,regressor:mlp:epsilon,regressor:mlp:hidden_layer_depth,regressor:mlp:learning_rate_init,regressor:mlp:n_iter_no_change,regressor:mlp:num_nodes_per_layer,regressor:mlp:shuffle,regressor:mlp:solver,regressor:mlp:tol,regressor:mlp:validation_fraction,regressor:random_forest:bootstrap,regressor:random_forest:criterion,regressor:random_forest:max_depth,regressor:random_forest:max_features,regressor:random_forest:max_leaf_nodes,regressor:random_forest:min_impurity_decrease,regressor:random_forest:min_samples_leaf,regressor:random_forest:min_samples_split,regressor:random_forest:min_weight_fraction_leaf,regressor:sgd:alpha,regressor:sgd:average,regressor:sgd:epsilon,regressor:sgd:eta0,regressor:sgd:fit_intercept,regressor:sgd:l1_ratio,regressor:sgd:learning_rate,regressor:sgd:loss,regressor:sgd:penalty,regressor:sgd:power_t,regressor:sgd:tol,data_preprocessor:__choice__
-2,no_encoding,no_coalescense,,mean,quantile_transformer,11,normal,,,feature_agglomeration,,,,,,,,,,,,,,euclidean,complete,25,median,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.0013353328453618832,1.8649142010631853e-07,3552.37611286252,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-6,no_encoding,no_coalescense,,median,minmax,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,True,friedman_mse,None,0.9749597494965978,None,0.0,4,2,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-7,one_hot_encoding,no_coalescense,,most_frequent,quantile_transformer,809,uniform,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,True,,,,,,,,,,,,,sgd,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.01806079811541296,False,,0.015540128437738566,True,0.9326390049807726,constant,squared_loss,elasticnet,,0.00010576654619459039,feature_type
-12,no_encoding,minority_coalescer,0.43459780721179087,median,quantile_transformer,157,uniform,,,feature_agglomeration,,,,,,,,,,,,,,cosine,complete,230,mean,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1.8163213580890267e-13,3.018233262270109e-06,302.06769747934663,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-14,no_encoding,minority_coalescer,0.07108590272810227,median,minmax,,,,,extra_trees_preproc_for_regression,False,mae,None,1.0,None,2,3,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,True,mae,None,1.0,None,0.0,9,19,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-16,no_encoding,minority_coalescer,0.006961574439410704,mean,minmax,,,,,fast_ica,,,,,,,,,,deflation,exp,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,24.849437092408927,,3,0.0010072349709912712,0.2620770817035318,rbf,-1,False,0.043415935783161747,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-20,one_hot_encoding,minority_coalescer,0.0015545063839819278,most_frequent,normalize,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,decision_tree,,,,,,,,,,,,,mae,0.7595438766001632,1.0,None,0.0,19,18,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-22,one_hot_encoding,no_coalescense,,mean,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,adaboost,0.8420513715405185,square,10,480,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-26,no_encoding,no_coalescense,,mean,robust_scaler,,,0.7194207293244546,0.25,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,False,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,1e-10,0.04073473488071534,least_squares,255,None,22,4,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-29,one_hot_encoding,minority_coalescer,0.019250695324004172,mean,robust_scaler,,,0.7578716752945609,0.2564985900301251,pca,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.9701517204674619,True,,,,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,False,mae,None,0.896118178311832,None,0.0,14,5,0.0,,,,,,,,,,,,feature_type
-31,one_hot_encoding,minority_coalescer,0.0001745391328519669,most_frequent,robust_scaler,,,0.8057830372269097,0.24982831110057324,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.3621762718897781,fwe,f_regression,ard_regression,,,,,2.7664515192592053e-05,9.504988116581138e-07,True,6.50650698230178e-09,4.238533890074848e-07,300,78251.58542976103,0.0007301343236220855,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-34,one_hot_encoding,no_coalescense,,most_frequent,quantile_transformer,952,uniform,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,1.8428972335335263e-10,0.012607824914758717,least_squares,255,None,10,8,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-38,no_encoding,minority_coalescer,0.16100794776610894,median,robust_scaler,,,0.7171413959739553,0.13004136466339758,feature_agglomeration,,,,,,,,,,,,,,euclidean,complete,170,mean,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,False,mae,None,0.35533840599344335,None,0.0,4,3,0.0,,,,,,,,,,,,feature_type
-40,no_encoding,minority_coalescer,0.032459358237118964,mean,quantile_transformer,245,normal,,,fast_ica,,,,,,,,,,parallel,exp,1538,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.010616529299999268,3.3168147703951036e-07,4.182958258383621,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-43,no_encoding,no_coalescense,,mean,standardize,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.034904198000955684,fdr,f_regression,liblinear_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,35.012615180923554,False,0.7326132441316412,True,1,squared_epsilon_insensitive,0.00012982617662684841,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-46,no_encoding,no_coalescense,,most_frequent,quantile_transformer,1000,uniform,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.3202682286326904,fwe,f_regression,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,mae,None,0.9087389932117044,None,0.0,1,4,0.0,,,,,,,,,,,,feature_type
-50,one_hot_encoding,minority_coalescer,0.01047631022335275,median,minmax,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,True,mse,None,0.5535883939348928,None,0.0,2,16,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-52,no_encoding,minority_coalescer,0.00037751305802594386,most_frequent,robust_scaler,,,0.8759400736837674,0.13221781341594682,fast_ica,,,,,,,,,,parallel,cube,697,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.029453991772614846,1.1450968194422473e-08,236.5906050407108,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-56,one_hot_encoding,minority_coalescer,0.00045833372603169316,most_frequent,minmax,,,,,random_trees_embedding,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,False,4,None,5,13,1.0,95,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,False,mae,None,0.7632599342253943,None,0.0,6,3,0.0,,,,,,,,,,,,feature_type
-58,one_hot_encoding,no_coalescense,,median,standardize,,,,,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,22.538520410186127,f_regression,,,,liblinear_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.036388789196735646,False,0.0012739627397164333,True,1,squared_epsilon_insensitive,0.020180468804448126,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-63,no_encoding,no_coalescense,,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,True,mse,None,0.9615263480351033,None,0.0,1,2,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-64,one_hot_encoding,minority_coalescer,0.010000000000000004,most_frequent,robust_scaler,,,0.7430978207309135,0.25,extra_trees_preproc_for_regression,False,mae,None,0.7005907957964752,None,10,3,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mae,None,0.18534500736841375,None,0.0,20,11,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-67,no_encoding,no_coalescense,,most_frequent,standardize,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,0.03924332738035384,0.049768184173431644,least_squares,255,None,3,3,2,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-71,no_encoding,minority_coalescer,0.006510624355014198,most_frequent,minmax,,,,,pca,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.5230616735264457,True,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,19.854915227109338,,,0.007017972966409939,,linear,-1,True,9.038240422247689e-05,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-74,one_hot_encoding,no_coalescense,,mean,none,,,,,feature_agglomeration,,,,,,,,,,,,,,cosine,complete,117,max,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.055180212426724,5.905140233631545e-07,1471.9250770888395,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-77,no_encoding,minority_coalescer,0.28144748021848814,mean,robust_scaler,,,0.8771493204875395,0.13693823573634356,fast_ica,,,,,,,,,,deflation,cube,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,friedman_mse,None,1.0,None,0.0,1,2,0.0,,,,,,,,,,,,feature_type
-79,no_encoding,minority_coalescer,0.042366198588653134,most_frequent,minmax,,,,,fast_ica,,,,,,,,,,deflation,logcosh,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,7277.320824640944,,2,0.0013490872095510865,0.03233188643981015,rbf,-1,True,0.0034607903098849255,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-82,no_encoding,minority_coalescer,0.05607310321489163,mean,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,28831.968873651404,0.39386733846748023,3,0.12370783564202235,0.0026233747431769617,poly,-1,True,4.714268123196739e-05,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-86,one_hot_encoding,no_coalescense,,most_frequent,standardize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,ard_regression,,,,,0.0003701926442639788,2.2118001735899097e-07,True,1.2037591637980971e-06,4.358378124977852e-09,300,1136.5286041327277,0.021944240404849075,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-90,no_encoding,no_coalescense,,most_frequent,robust_scaler,,,0.9967561696478335,0.026240229529164848,feature_agglomeration,,,,,,,,,,,,,,euclidean,ward,25,max,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,valid,1e-10,0.10799112896135016,least_squares,255,None,31,23,6,loss,1e-07,0.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-91,one_hot_encoding,minority_coalescer,0.007279393188444156,most_frequent,robust_scaler,,,0.8268531657356266,0.12229287307944404,pca,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.9091333546205435,True,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,845.5038204708214,,5,0.0029756081510812445,0.02954207864444914,rbf,-1,True,0.018999658720438555,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-93,one_hot_encoding,no_coalescense,,most_frequent,quantile_transformer,1148,uniform,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.14778326778462142,fpr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,1.7962284970386197e-10,0.05156555327055447,least_squares,255,None,35,12,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-98,one_hot_encoding,minority_coalescer,0.0003901993361129805,most_frequent,robust_scaler,,,0.7928201883580988,0.11402818686496194,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,k_nearest_neighbors,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,1,distance,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-100,one_hot_encoding,minority_coalescer,0.0004074198580703139,mean,robust_scaler,,,0.9330606970563508,0.2761356138672697,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,adaboost,0.028345285546561846,linear,10,174,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-102,no_encoding,minority_coalescer,0.00829519231049576,mean,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,ard_regression,,,,,4.7044575285722365e-05,0.000629863807127318,True,7.584067704707025e-10,3.923255608410879e-08,300,4052.403778957396,0.009359388994186051,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-104,no_encoding,no_coalescense,,mean,standardize,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,mlp,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,relu,0.00034869363637350924,auto,0.9,0.999,train,1e-08,2,0.00011524903693777931,32,31,True,adam,0.0001,,,,,,,,,,,,,,,,,,,,,,feature_type
-107,no_encoding,no_coalescense,,mean,robust_scaler,,,0.7727512096172742,0.22461598115758682,feature_agglomeration,,,,,,,,,,,,,,manhattan,complete,21,max,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,2.208787572338781e-05,0.036087332404571744,least_squares,255,None,64,3,18,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-110,no_encoding,minority_coalescer,0.0006869013905922761,mean,quantile_transformer,1352,normal,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.07357548990881542,fpr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,3.20414911914726e-10,0.1279702444496931,least_squares,255,None,63,19,8,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-114,no_encoding,minority_coalescer,0.00017544300366817,most_frequent,normalize,,,,,extra_trees_preproc_for_regression,True,friedman_mse,None,1.0,None,9,2,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mae,None,0.9524455578856136,None,0.0,16,12,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-117,no_encoding,no_coalescense,,most_frequent,none,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.2031136218970144,,,0.340528001967228,,linear,-1,False,4.070347915643521e-05,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-120,one_hot_encoding,no_coalescense,,mean,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mae,None,0.6057227489297443,None,0.0,3,15,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-124,one_hot_encoding,no_coalescense,,median,quantile_transformer,1779,normal,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,4.957506578736309e-07,0.05200721900508807,least_squares,255,None,4,2,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-126,no_encoding,minority_coalescer,0.010222641912650656,median,quantile_transformer,1092,uniform,,,feature_agglomeration,,,,,,,,,,,,,,euclidean,ward,59,mean,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,adaboost,0.010571278032840276,linear,10,116,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-128,one_hot_encoding,minority_coalescer,0.010526018767545999,mean,none,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,6.329157022258742e-08,0.02818475036529399,least_squares,255,None,48,2,6,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-132,one_hot_encoding,minority_coalescer,0.0001745391328519669,most_frequent,robust_scaler,,,0.8057830372269097,0.24982831110057324,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.3621762718897781,fwe,f_regression,ard_regression,,,,,2.7664515192592053e-05,9.504988116581138e-07,True,6.50650698230178e-09,4.238533890074848e-07,300,78251.58542976103,0.0007301343236220855,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-136,one_hot_encoding,minority_coalescer,0.008225465238838799,most_frequent,quantile_transformer,709,uniform,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2.1305589487469477e-06,0.0002524679984945707,57.09316986719562,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-138,no_encoding,minority_coalescer,0.018981164720696175,median,minmax,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.03175182874113965,0.00030344963288406407,64164.586360277535,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-140,no_encoding,no_coalescense,,median,minmax,,,,,feature_agglomeration,,,,,,,,,,,,,,euclidean,average,272,median,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mse,None,0.5120356089629183,None,0.0,1,4,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-143,no_encoding,no_coalescense,,median,robust_scaler,,,0.7889051141669929,0.2253427527717258,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.3527536326193086,fdr,f_regression,extra_trees,,,,,,,,,,,,,,,,,,,,,True,mae,None,0.8877409763106398,None,0.0,10,3,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-147,one_hot_encoding,minority_coalescer,0.000182414424469489,most_frequent,none,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.3397218611778608,fpr,f_regression,ard_regression,,,,,0.0005329886143170782,1.5995559806728806e-07,True,9.79851482791022e-09,4.820060564227363e-08,300,77402.07012138714,0.00027806908943004945,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-150,no_encoding,minority_coalescer,0.005641404972103142,most_frequent,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,friedman_mse,None,0.9753131471779288,None,0.0,1,2,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-153,one_hot_encoding,minority_coalescer,0.00013899061331455512,mean,minmax,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.19203734614573903,fdr,f_regression,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.28764734226521,1.5934220315148466e-07,59443.23501615305,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-155,one_hot_encoding,minority_coalescer,0.0366721769670183,median,quantile_transformer,1000,uniform,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,False,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mse,None,1.0,None,0.0,3,12,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-158,one_hot_encoding,minority_coalescer,0.0001897686484596082,median,robust_scaler,,,0.7768342897092668,0.27222390764426924,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.00025503968621419157,1.161826998793312e-08,80.91415602800988,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-161,one_hot_encoding,no_coalescense,,mean,minmax,,,,,fast_ica,,,,,,,,,,deflation,cube,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,223.76455735355236,,2,0.001517791120341912,0.11103484780954016,rbf,-1,True,0.0015245364690368247,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-163,no_encoding,no_coalescense,,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,True,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.283161627129086,7.245332579977274e-08,36.28453043772396,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-167,no_encoding,no_coalescense,,median,none,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.4961646758349313,fpr,f_regression,decision_tree,,,,,,,,,,,,,mae,1.1554556329468342,1.0,None,0.0,20,14,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-169,no_encoding,minority_coalescer,0.024758956617535213,median,standardize,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.22888181300939214,fdr,f_regression,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,14.663900495367534,,4,0.0017630172009850445,0.02304400836020652,rbf,-1,False,0.01844898110925472,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-174,one_hot_encoding,no_coalescense,,most_frequent,none,,,,,fast_ica,,,,,,,,,,deflation,exp,671,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,ard_regression,,,,,4.124442820298477e-05,1.161663644436331e-06,True,1.5236144126449076e-09,0.00046882633285888015,300,86828.75337540788,0.0010379122151177183,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-176,one_hot_encoding,minority_coalescer,0.019566163649872924,most_frequent,robust_scaler,,,0.7200608810425068,0.22968043330398744,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.18539282936320728,fwe,f_regression,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mae,None,0.9029989558220115,None,0.0,1,2,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-178,no_encoding,minority_coalescer,0.002826818926767823,most_frequent,quantile_transformer,940,normal,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.1,fdr,f_regression,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1835.6434398469457,0.5949110211986679,2,0.004129875971416024,7.459736749397281e-05,poly,-1,True,0.015429047182283249,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-182,one_hot_encoding,minority_coalescer,0.006514462620801008,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,0.00956904848708048,0.028094986340152454,least_squares,255,None,154,13,20,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-185,no_encoding,minority_coalescer,0.005832981135631713,median,none,,,,,fast_ica,,,,,,,,,,parallel,exp,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1984.2957886752215,,2,0.0037512089540495315,0.01898396920165309,rbf,-1,True,2.8040110952036678e-05,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-186,no_encoding,minority_coalescer,0.010515112787842862,most_frequent,quantile_transformer,583,uniform,,,feature_agglomeration,,,,,,,,,,,,,,euclidean,average,5,mean,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.00015169626319121407,0.0006853872700383563,80227.86048666916,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-191,one_hot_encoding,minority_coalescer,0.039520728280417826,mean,minmax,,,,,kitchen_sinks,,,,,,,,,,,,,,,,,,,,,,,5.288249085278679,4176,,,,,,,,,,,,,,,,,,,,,,,liblinear_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,224.245634141281,False,0.009173958659191201,True,1,squared_epsilon_insensitive,1.9920161216131034e-05,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-193,no_encoding,no_coalescense,,mean,robust_scaler,,,0.7550402508982338,0.24842410508333093,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,True,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,6.238367840293606e-10,0.026111542610815466,least_squares,255,None,177,37,18,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-197,one_hot_encoding,minority_coalescer,0.008212209535832581,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.054214363629698496,5.913822061973022e-07,49143.56497731505,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-199,no_encoding,minority_coalescer,0.44467269258042313,most_frequent,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,6.676910625638355e-09,0.052530803029130685,least_squares,255,None,31,20,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-201,one_hot_encoding,no_coalescense,,mean,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,2.093528627734622e-10,0.056993947028442245,least_squares,255,None,96,7,20,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-205,no_encoding,minority_coalescer,0.09414191730578808,most_frequent,robust_scaler,,,0.7647308347062624,0.25612852139750486,feature_agglomeration,,,,,,,,,,,,,,cosine,average,25,mean,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,friedman_mse,None,0.9807290179215522,None,0.0,1,16,0.0,,,,,,,,,,,,feature_type
-207,one_hot_encoding,minority_coalescer,0.010000000000000004,mean,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,True,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,6.085630700044881e-10,0.12392806728650493,least_squares,255,None,31,25,7,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-211,no_encoding,no_coalescense,,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,180.22479438529933,,4,0.0012571604901280202,0.10272820821863678,rbf,-1,False,0.02945259690926852,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-214,one_hot_encoding,no_coalescense,,most_frequent,standardize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,True,,,,,,,,,,,,,sgd,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.00038839431353936653,False,,0.0007930509929393179,True,0.61724426807128,constant,squared_loss,elasticnet,,1.285973891441802e-05,feature_type
-217,one_hot_encoding,minority_coalescer,0.00013426375251483367,mean,quantile_transformer,1000,normal,,,extra_trees_preproc_for_regression,False,mae,None,0.9485456391530016,None,2,11,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,mae,None,1.0,None,0.0,1,5,0.0,,,,,,,,,,,,feature_type
-220,one_hot_encoding,minority_coalescer,0.0074901612162674314,median,quantile_transformer,1000,uniform,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.11837903484332993,fpr,f_regression,sgd,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.0009210650955968192,False,5.162916923614626e-05,0.010000000000000014,True,,invscaling,epsilon_insensitive,l1,0.25,0.0011697312333031576,feature_type
-222,no_encoding,no_coalescense,,most_frequent,quantile_transformer,1412,normal,,,feature_agglomeration,,,,,,,,,,,,,,manhattan,complete,103,max,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mae,None,0.14494079236825316,None,0.0,9,10,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-225,one_hot_encoding,minority_coalescer,0.010356286469647443,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,mlp,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,relu,6.108449182457731e-05,auto,0.9,0.999,valid,1e-08,3,0.00027704755935258253,32,101,True,adam,0.0001,0.1,,,,,,,,,,,,,,,,,,,,,feature_type
-228,no_encoding,minority_coalescer,0.0005112414168823774,median,standardize,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.4807408968132736,fdr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,5.775517309881741e-08,0.020024969424259676,least_squares,255,None,156,85,16,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-232,no_encoding,no_coalescense,,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,False,,,,,,,,,,,,,sgd,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.0006517033225329654,False,0.012150149892783745,0.016444224834275295,True,1.7462342366289323e-09,invscaling,epsilon_insensitive,elasticnet,0.21521743568582094,0.002431731981071206,feature_type
-235,one_hot_encoding,minority_coalescer,0.010000000000000004,most_frequent,standardize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.035440248140559884,1.142436233486746e-09,2235.498740920408,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-237,no_encoding,minority_coalescer,0.007741331259480108,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.020932011717701825,7.512295484675918e-08,427.92917011793116,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-240,one_hot_encoding,minority_coalescer,0.010000000000000004,mean,standardize,,,,,extra_trees_preproc_for_regression,True,friedman_mse,None,0.969236220539822,None,1,2,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.013068012551322245,2.979079708104577e-07,50599.0613366392,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-245,one_hot_encoding,minority_coalescer,0.052483220498897844,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.017488165983844263,4.199154538507709e-05,18825.14718012417,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-247,one_hot_encoding,minority_coalescer,0.014192135928954746,median,standardize,,,,,fast_ica,,,,,,,,,,deflation,exp,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1.4272136443763257,0.2694141260648879,2,0.10000000000000006,0.05757315877344016,poly,-1,False,0.0010000000000000002,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-251,no_encoding,no_coalescense,,median,standardize,,,,,extra_trees_preproc_for_regression,True,mae,None,0.7533134853493275,None,1,4,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,0.8025720428105109,0.2759754081799624,least_squares,255,None,18,172,11,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-253,no_encoding,minority_coalescer,0.26110798476806907,most_frequent,robust_scaler,,,0.7461372990016106,0.18481793818833603,extra_trees_preproc_for_regression,False,friedman_mse,None,0.754963329968397,None,13,20,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,True,mae,None,0.9353841799433302,None,0.0,20,8,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-257,one_hot_encoding,minority_coalescer,0.0216783950539192,mean,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,0.00010889929093369623,0.013461560146088193,least_squares,255,None,922,78,19,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-259,one_hot_encoding,no_coalescense,,median,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,False,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,False,mae,None,0.6818536175530396,None,0.0,11,11,0.0,,,,,,,,,,,,feature_type
-262,no_encoding,minority_coalescer,0.0017516626568532072,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.09414230179794553,1.3692618062770113e-09,15642.37580197983,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-265,one_hot_encoding,no_coalescense,,mean,standardize,,,,,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,24.560906712337708,f_regression,,,,decision_tree,,,,,,,,,,,,,mae,0.8468780775417923,1.0,None,0.0,9,17,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-269,no_encoding,minority_coalescer,0.11324357350799051,most_frequent,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,True,,,,,,,,,,,,,ard_regression,,,,,0.00014954470919422477,1.9262277034794773e-08,True,0.00022496118017024456,0.00042674670526235496,300,35523.21377524326,0.007079692553060248,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-270,one_hot_encoding,no_coalescense,,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.018036515123556758,5.016705964050539e-07,61163.021227932,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-274,one_hot_encoding,minority_coalescer,0.0002682359625135144,mean,quantile_transformer,1567,uniform,,,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,85.70259306141033,f_regression,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,6.536723381440492e-05,0.03940103065495631,least_squares,255,None,77,9,7,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-276,one_hot_encoding,no_coalescense,,median,minmax,,,,,pca,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.991729015298316,True,,,,,,,,,,,,,,,,adaboost,0.019011223549222432,linear,9,395,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-279,no_encoding,minority_coalescer,0.4873131661139947,mean,standardize,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.43441750135120694,fpr,f_regression,k_nearest_neighbors,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,2,distance,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-282,one_hot_encoding,minority_coalescer,0.026353623217953964,mean,none,,,,,extra_trees_preproc_for_regression,True,friedman_mse,None,0.8609499435062687,None,9,15,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.023379450779571848,2.659222467552488e-10,292.5678884045162,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-285,no_encoding,no_coalescense,,mean,minmax,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.2186105871515939,fdr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,0.10377482408306521,0.016255400771699312,least_squares,255,None,65,70,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+idx,data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__,data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__,data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction,data_preprocessor:feature_type:numerical_transformer:imputation:strategy,data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__,data_preprocessor:feature_type:numerical_transformer:rescaling:quantile_transformer:n_quantiles,data_preprocessor:feature_type:numerical_transformer:rescaling:quantile_transformer:output_distribution,data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_max,data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_min,feature_preprocessor:__choice__,feature_preprocessor:extra_trees_preproc_for_regression:bootstrap,feature_preprocessor:extra_trees_preproc_for_regression:criterion,feature_preprocessor:extra_trees_preproc_for_regression:max_depth,feature_preprocessor:extra_trees_preproc_for_regression:max_features,feature_preprocessor:extra_trees_preproc_for_regression:max_leaf_nodes,feature_preprocessor:extra_trees_preproc_for_regression:min_samples_leaf,feature_preprocessor:extra_trees_preproc_for_regression:min_samples_split,feature_preprocessor:extra_trees_preproc_for_regression:min_weight_fraction_leaf,feature_preprocessor:extra_trees_preproc_for_regression:n_estimators,feature_preprocessor:fast_ica:algorithm,feature_preprocessor:fast_ica:fun,feature_preprocessor:fast_ica:n_components,feature_preprocessor:fast_ica:whiten,feature_preprocessor:feature_agglomeration:affinity,feature_preprocessor:feature_agglomeration:linkage,feature_preprocessor:feature_agglomeration:n_clusters,feature_preprocessor:feature_agglomeration:pooling_func,feature_preprocessor:kernel_pca:coef0,feature_preprocessor:kernel_pca:degree,feature_preprocessor:kernel_pca:gamma,feature_preprocessor:kernel_pca:kernel,feature_preprocessor:kernel_pca:n_components,feature_preprocessor:kitchen_sinks:gamma,feature_preprocessor:kitchen_sinks:n_components,feature_preprocessor:nystroem_sampler:coef0,feature_preprocessor:nystroem_sampler:degree,feature_preprocessor:nystroem_sampler:gamma,feature_preprocessor:nystroem_sampler:kernel,feature_preprocessor:nystroem_sampler:n_components,feature_preprocessor:pca:keep_variance,feature_preprocessor:pca:whiten,feature_preprocessor:polynomial:degree,feature_preprocessor:polynomial:include_bias,feature_preprocessor:polynomial:interaction_only,feature_preprocessor:random_trees_embedding:bootstrap,feature_preprocessor:random_trees_embedding:max_depth,feature_preprocessor:random_trees_embedding:max_leaf_nodes,feature_preprocessor:random_trees_embedding:min_samples_leaf,feature_preprocessor:random_trees_embedding:min_samples_split,feature_preprocessor:random_trees_embedding:min_weight_fraction_leaf,feature_preprocessor:random_trees_embedding:n_estimators,feature_preprocessor:select_percentile_regression:percentile,feature_preprocessor:select_percentile_regression:score_func,feature_preprocessor:select_rates_regression:alpha,feature_preprocessor:select_rates_regression:mode,feature_preprocessor:select_rates_regression:score_func,regressor:__choice__,regressor:adaboost:learning_rate,regressor:adaboost:loss,regressor:adaboost:max_depth,regressor:adaboost:n_estimators,regressor:ard_regression:alpha_1,regressor:ard_regression:alpha_2,regressor:ard_regression:fit_intercept,regressor:ard_regression:lambda_1,regressor:ard_regression:lambda_2,regressor:ard_regression:n_iter,regressor:ard_regression:threshold_lambda,regressor:ard_regression:tol,regressor:decision_tree:criterion,regressor:decision_tree:max_depth_factor,regressor:decision_tree:max_features,regressor:decision_tree:max_leaf_nodes,regressor:decision_tree:min_impurity_decrease,regressor:decision_tree:min_samples_leaf,regressor:decision_tree:min_samples_split,regressor:decision_tree:min_weight_fraction_leaf,regressor:extra_trees:bootstrap,regressor:extra_trees:criterion,regressor:extra_trees:max_depth,regressor:extra_trees:max_features,regressor:extra_trees:max_leaf_nodes,regressor:extra_trees:min_impurity_decrease,regressor:extra_trees:min_samples_leaf,regressor:extra_trees:min_samples_split,regressor:extra_trees:min_weight_fraction_leaf,regressor:gaussian_process:alpha,regressor:gaussian_process:thetaL,regressor:gaussian_process:thetaU,regressor:gradient_boosting:early_stop,regressor:gradient_boosting:l2_regularization,regressor:gradient_boosting:learning_rate,regressor:gradient_boosting:loss,regressor:gradient_boosting:max_bins,regressor:gradient_boosting:max_depth,regressor:gradient_boosting:max_leaf_nodes,regressor:gradient_boosting:min_samples_leaf,regressor:gradient_boosting:n_iter_no_change,regressor:gradient_boosting:scoring,regressor:gradient_boosting:tol,regressor:gradient_boosting:validation_fraction,regressor:k_nearest_neighbors:n_neighbors,regressor:k_nearest_neighbors:p,regressor:k_nearest_neighbors:weights,regressor:liblinear_svr:C,regressor:liblinear_svr:dual,regressor:liblinear_svr:epsilon,regressor:liblinear_svr:fit_intercept,regressor:liblinear_svr:intercept_scaling,regressor:liblinear_svr:loss,regressor:liblinear_svr:tol,regressor:libsvm_svr:C,regressor:libsvm_svr:coef0,regressor:libsvm_svr:degree,regressor:libsvm_svr:epsilon,regressor:libsvm_svr:gamma,regressor:libsvm_svr:kernel,regressor:libsvm_svr:max_iter,regressor:libsvm_svr:shrinking,regressor:libsvm_svr:tol,regressor:mlp:activation,regressor:mlp:alpha,regressor:mlp:batch_size,regressor:mlp:beta_1,regressor:mlp:beta_2,regressor:mlp:early_stopping,regressor:mlp:epsilon,regressor:mlp:hidden_layer_depth,regressor:mlp:learning_rate_init,regressor:mlp:n_iter_no_change,regressor:mlp:num_nodes_per_layer,regressor:mlp:shuffle,regressor:mlp:solver,regressor:mlp:tol,regressor:mlp:validation_fraction,regressor:random_forest:bootstrap,regressor:random_forest:criterion,regressor:random_forest:max_depth,regressor:random_forest:max_features,regressor:random_forest:max_leaf_nodes,regressor:random_forest:min_impurity_decrease,regressor:random_forest:min_samples_leaf,regressor:random_forest:min_samples_split,regressor:random_forest:min_weight_fraction_leaf,regressor:sgd:alpha,regressor:sgd:average,regressor:sgd:epsilon,regressor:sgd:eta0,regressor:sgd:fit_intercept,regressor:sgd:l1_ratio,regressor:sgd:learning_rate,regressor:sgd:loss,regressor:sgd:penalty,regressor:sgd:power_t,regressor:sgd:tol,data_preprocessor:__choice__
+2,no_encoding,no_coalescense,,mean,quantile_transformer,11,normal,,,feature_agglomeration,,,,,,,,,,,,,,euclidean,complete,25,median,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.0013353328453618832,1.8649142010631853e-07,3552.37611286252,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+6,no_encoding,no_coalescense,,median,minmax,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,True,friedman_mse,None,0.9749597494965978,None,0.0,4,2,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+7,one_hot_encoding,no_coalescense,,most_frequent,quantile_transformer,809,uniform,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,True,,,,,,,,,,,,,sgd,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.01806079811541296,False,,0.015540128437738566,True,0.9326390049807726,constant,squared_loss,elasticnet,,0.00010576654619459039,feature_type
+12,no_encoding,minority_coalescer,0.43459780721179087,median,quantile_transformer,157,uniform,,,feature_agglomeration,,,,,,,,,,,,,,cosine,complete,230,mean,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1.8163213580890267e-13,3.018233262270109e-06,302.06769747934663,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+14,no_encoding,minority_coalescer,0.07108590272810227,median,minmax,,,,,extra_trees_preproc_for_regression,False,mae,None,1.0,None,2,3,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,True,mae,None,1.0,None,0.0,9,19,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+16,no_encoding,minority_coalescer,0.006961574439410704,mean,minmax,,,,,fast_ica,,,,,,,,,,deflation,exp,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,24.849437092408927,,,0.0010072349709912712,0.2620770817035318,rbf,-1,False,0.043415935783161747,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+20,one_hot_encoding,minority_coalescer,0.0015545063839819278,most_frequent,normalize,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,decision_tree,,,,,,,,,,,,,mae,0.7595438766001632,1.0,None,0.0,19,18,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+22,one_hot_encoding,no_coalescense,,mean,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,adaboost,0.8420513715405185,square,10,480,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+26,no_encoding,no_coalescense,,mean,robust_scaler,,,0.7194207293244546,0.25,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,False,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,1e-10,0.04073473488071534,least_squares,255,None,22,4,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+29,one_hot_encoding,minority_coalescer,0.019250695324004172,mean,robust_scaler,,,0.7578716752945609,0.2564985900301251,pca,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.9701517204674619,True,,,,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,False,mae,None,0.896118178311832,None,0.0,14,5,0.0,,,,,,,,,,,,feature_type
+31,one_hot_encoding,minority_coalescer,0.0001745391328519669,most_frequent,robust_scaler,,,0.8057830372269097,0.24982831110057324,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.3621762718897781,fwe,f_regression,ard_regression,,,,,2.7664515192592053e-05,9.504988116581138e-07,True,6.50650698230178e-09,4.238533890074848e-07,300,78251.58542976103,0.0007301343236220855,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+34,one_hot_encoding,no_coalescense,,most_frequent,quantile_transformer,952,uniform,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,1.8428972335335263e-10,0.012607824914758717,least_squares,255,None,10,8,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+38,no_encoding,minority_coalescer,0.16100794776610894,median,robust_scaler,,,0.7171413959739553,0.13004136466339758,feature_agglomeration,,,,,,,,,,,,,,euclidean,complete,170,mean,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,False,mae,None,0.35533840599344335,None,0.0,4,3,0.0,,,,,,,,,,,,feature_type
+40,no_encoding,minority_coalescer,0.032459358237118964,mean,quantile_transformer,245,normal,,,fast_ica,,,,,,,,,,parallel,exp,1538,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.010616529299999268,3.3168147703951036e-07,4.182958258383621,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+43,no_encoding,no_coalescense,,mean,standardize,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.034904198000955684,fdr,f_regression,liblinear_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,35.012615180923554,False,0.7326132441316412,True,1,squared_epsilon_insensitive,0.00012982617662684841,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+46,no_encoding,no_coalescense,,most_frequent,quantile_transformer,1000,uniform,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.3202682286326904,fwe,f_regression,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,mae,None,0.9087389932117044,None,0.0,1,4,0.0,,,,,,,,,,,,feature_type
+50,one_hot_encoding,minority_coalescer,0.01047631022335275,median,minmax,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,True,mse,None,0.5535883939348928,None,0.0,2,16,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+52,no_encoding,minority_coalescer,0.00037751305802594386,most_frequent,robust_scaler,,,0.8759400736837674,0.13221781341594682,fast_ica,,,,,,,,,,parallel,cube,697,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.029453991772614846,1.1450968194422473e-08,236.5906050407108,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+56,one_hot_encoding,minority_coalescer,0.00045833372603169316,most_frequent,minmax,,,,,random_trees_embedding,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,False,4,None,5,13,1.0,95,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,False,mae,None,0.7632599342253943,None,0.0,6,3,0.0,,,,,,,,,,,,feature_type
+58,one_hot_encoding,no_coalescense,,median,standardize,,,,,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,22.538520410186127,f_regression,,,,liblinear_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.036388789196735646,False,0.0012739627397164333,True,1,squared_epsilon_insensitive,0.020180468804448126,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+63,no_encoding,no_coalescense,,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,True,mse,None,0.9615263480351033,None,0.0,1,2,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+64,one_hot_encoding,minority_coalescer,0.010000000000000004,most_frequent,robust_scaler,,,0.7430978207309135,0.25,extra_trees_preproc_for_regression,False,mae,None,0.7005907957964752,None,10,3,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mae,None,0.18534500736841375,None,0.0,20,11,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+67,no_encoding,no_coalescense,,most_frequent,standardize,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,0.03924332738035384,0.049768184173431644,least_squares,255,None,3,3,2,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+71,no_encoding,minority_coalescer,0.006510624355014198,most_frequent,minmax,,,,,pca,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.5230616735264457,True,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,19.854915227109338,,,0.007017972966409939,,linear,-1,True,9.038240422247689e-05,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+74,one_hot_encoding,no_coalescense,,mean,none,,,,,feature_agglomeration,,,,,,,,,,,,,,cosine,complete,117,max,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.055180212426724,5.905140233631545e-07,1471.9250770888395,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+77,no_encoding,minority_coalescer,0.28144748021848814,mean,robust_scaler,,,0.8771493204875395,0.13693823573634356,fast_ica,,,,,,,,,,deflation,cube,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,friedman_mse,None,1.0,None,0.0,1,2,0.0,,,,,,,,,,,,feature_type
+79,no_encoding,minority_coalescer,0.042366198588653134,most_frequent,minmax,,,,,fast_ica,,,,,,,,,,deflation,logcosh,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,7277.320824640944,,,0.0013490872095510865,0.03233188643981015,rbf,-1,True,0.0034607903098849255,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+82,no_encoding,minority_coalescer,0.05607310321489163,mean,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,28831.968873651404,0.39386733846748023,3,0.12370783564202235,0.0026233747431769617,poly,-1,True,4.714268123196739e-05,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+86,one_hot_encoding,no_coalescense,,most_frequent,standardize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,ard_regression,,,,,0.0003701926442639788,2.2118001735899097e-07,True,1.2037591637980971e-06,4.358378124977852e-09,300,1136.5286041327277,0.021944240404849075,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+90,no_encoding,no_coalescense,,most_frequent,robust_scaler,,,0.9967561696478335,0.026240229529164848,feature_agglomeration,,,,,,,,,,,,,,euclidean,ward,25,max,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,valid,1e-10,0.10799112896135016,least_squares,255,None,31,23,6,loss,1e-07,0.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+91,one_hot_encoding,minority_coalescer,0.007279393188444156,most_frequent,robust_scaler,,,0.8268531657356266,0.12229287307944404,pca,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.9091333546205435,True,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,845.5038204708214,,,0.0029756081510812445,0.02954207864444914,rbf,-1,True,0.018999658720438555,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+93,one_hot_encoding,no_coalescense,,most_frequent,quantile_transformer,1148,uniform,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.14778326778462142,fpr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,1.7962284970386197e-10,0.05156555327055447,least_squares,255,None,35,12,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+98,one_hot_encoding,minority_coalescer,0.0003901993361129805,most_frequent,robust_scaler,,,0.7928201883580988,0.11402818686496194,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,k_nearest_neighbors,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,1,distance,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+100,one_hot_encoding,minority_coalescer,0.0004074198580703139,mean,robust_scaler,,,0.9330606970563508,0.2761356138672697,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,adaboost,0.028345285546561846,linear,10,174,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+102,no_encoding,minority_coalescer,0.00829519231049576,mean,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,ard_regression,,,,,4.7044575285722365e-05,0.000629863807127318,True,7.584067704707025e-10,3.923255608410879e-08,300,4052.403778957396,0.009359388994186051,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+104,no_encoding,no_coalescense,,mean,standardize,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,mlp,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,relu,0.00034869363637350924,auto,0.9,0.999,train,1e-08,2,0.00011524903693777931,32,31,True,adam,0.0001,,,,,,,,,,,,,,,,,,,,,,feature_type
+107,no_encoding,no_coalescense,,mean,robust_scaler,,,0.7727512096172742,0.22461598115758682,feature_agglomeration,,,,,,,,,,,,,,manhattan,complete,21,max,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,2.208787572338781e-05,0.036087332404571744,least_squares,255,None,64,3,18,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+110,no_encoding,minority_coalescer,0.0006869013905922761,mean,quantile_transformer,1352,normal,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.07357548990881542,fpr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,3.20414911914726e-10,0.1279702444496931,least_squares,255,None,63,19,8,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+114,no_encoding,minority_coalescer,0.00017544300366817,most_frequent,normalize,,,,,extra_trees_preproc_for_regression,True,friedman_mse,None,1.0,None,9,2,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mae,None,0.9524455578856136,None,0.0,16,12,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+117,no_encoding,no_coalescense,,most_frequent,none,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.2031136218970144,,,0.340528001967228,,linear,-1,False,4.070347915643521e-05,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+120,one_hot_encoding,no_coalescense,,mean,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mae,None,0.6057227489297443,None,0.0,3,15,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+124,one_hot_encoding,no_coalescense,,median,quantile_transformer,1779,normal,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,4.957506578736309e-07,0.05200721900508807,least_squares,255,None,4,2,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+126,no_encoding,minority_coalescer,0.010222641912650656,median,quantile_transformer,1092,uniform,,,feature_agglomeration,,,,,,,,,,,,,,euclidean,ward,59,mean,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,adaboost,0.010571278032840276,linear,10,116,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+128,one_hot_encoding,minority_coalescer,0.010526018767545999,mean,none,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,6.329157022258742e-08,0.02818475036529399,least_squares,255,None,48,2,6,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+132,one_hot_encoding,minority_coalescer,0.0001745391328519669,most_frequent,robust_scaler,,,0.8057830372269097,0.24982831110057324,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.3621762718897781,fwe,f_regression,ard_regression,,,,,2.7664515192592053e-05,9.504988116581138e-07,True,6.50650698230178e-09,4.238533890074848e-07,300,78251.58542976103,0.0007301343236220855,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+136,one_hot_encoding,minority_coalescer,0.008225465238838799,most_frequent,quantile_transformer,709,uniform,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2.1305589487469477e-06,0.0002524679984945707,57.09316986719562,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+138,no_encoding,minority_coalescer,0.018981164720696175,median,minmax,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.03175182874113965,0.00030344963288406407,64164.586360277535,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+140,no_encoding,no_coalescense,,median,minmax,,,,,feature_agglomeration,,,,,,,,,,,,,,euclidean,average,272,median,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mse,None,0.5120356089629183,None,0.0,1,4,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+143,no_encoding,no_coalescense,,median,robust_scaler,,,0.7889051141669929,0.2253427527717258,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.3527536326193086,fdr,f_regression,extra_trees,,,,,,,,,,,,,,,,,,,,,True,mae,None,0.8877409763106398,None,0.0,10,3,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+147,one_hot_encoding,minority_coalescer,0.000182414424469489,most_frequent,none,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.3397218611778608,fpr,f_regression,ard_regression,,,,,0.0005329886143170782,1.5995559806728806e-07,True,9.79851482791022e-09,4.820060564227363e-08,300,77402.07012138714,0.00027806908943004945,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+150,no_encoding,minority_coalescer,0.005641404972103142,most_frequent,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,friedman_mse,None,0.9753131471779288,None,0.0,1,2,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+153,one_hot_encoding,minority_coalescer,0.00013899061331455512,mean,minmax,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.19203734614573903,fdr,f_regression,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.28764734226521,1.5934220315148466e-07,59443.23501615305,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+155,one_hot_encoding,minority_coalescer,0.0366721769670183,median,quantile_transformer,1000,uniform,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,False,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mse,None,1.0,None,0.0,3,12,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+158,one_hot_encoding,minority_coalescer,0.0001897686484596082,median,robust_scaler,,,0.7768342897092668,0.27222390764426924,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.00025503968621419157,1.161826998793312e-08,80.91415602800988,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+161,one_hot_encoding,no_coalescense,,mean,minmax,,,,,fast_ica,,,,,,,,,,deflation,cube,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,223.76455735355236,,,0.001517791120341912,0.11103484780954016,rbf,-1,True,0.0015245364690368247,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+163,no_encoding,no_coalescense,,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,True,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.283161627129086,7.245332579977274e-08,36.28453043772396,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+167,no_encoding,no_coalescense,,median,none,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.4961646758349313,fpr,f_regression,decision_tree,,,,,,,,,,,,,mae,1.1554556329468342,1.0,None,0.0,20,14,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+169,no_encoding,minority_coalescer,0.024758956617535213,median,standardize,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.22888181300939214,fdr,f_regression,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,14.663900495367534,,,0.0017630172009850445,0.02304400836020652,rbf,-1,False,0.01844898110925472,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+174,one_hot_encoding,no_coalescense,,most_frequent,none,,,,,fast_ica,,,,,,,,,,deflation,exp,671,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,ard_regression,,,,,4.124442820298477e-05,1.161663644436331e-06,True,1.5236144126449076e-09,0.00046882633285888015,300,86828.75337540788,0.0010379122151177183,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+176,one_hot_encoding,minority_coalescer,0.019566163649872924,most_frequent,robust_scaler,,,0.7200608810425068,0.22968043330398744,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.18539282936320728,fwe,f_regression,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mae,None,0.9029989558220115,None,0.0,1,2,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+178,no_encoding,minority_coalescer,0.002826818926767823,most_frequent,quantile_transformer,940,normal,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.1,fdr,f_regression,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1835.6434398469457,0.5949110211986679,2,0.004129875971416024,7.459736749397281e-05,poly,-1,True,0.015429047182283249,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+182,one_hot_encoding,minority_coalescer,0.006514462620801008,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,0.00956904848708048,0.028094986340152454,least_squares,255,None,154,13,20,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+185,no_encoding,minority_coalescer,0.005832981135631713,median,none,,,,,fast_ica,,,,,,,,,,parallel,exp,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1984.2957886752215,,,0.0037512089540495315,0.01898396920165309,rbf,-1,True,2.8040110952036678e-05,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+186,no_encoding,minority_coalescer,0.010515112787842862,most_frequent,quantile_transformer,583,uniform,,,feature_agglomeration,,,,,,,,,,,,,,euclidean,average,5,mean,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.00015169626319121407,0.0006853872700383563,80227.86048666916,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+191,one_hot_encoding,minority_coalescer,0.039520728280417826,mean,minmax,,,,,kitchen_sinks,,,,,,,,,,,,,,,,,,,,,,,5.288249085278679,4176,,,,,,,,,,,,,,,,,,,,,,,liblinear_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,224.245634141281,False,0.009173958659191201,True,1,squared_epsilon_insensitive,1.9920161216131034e-05,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+193,no_encoding,no_coalescense,,mean,robust_scaler,,,0.7550402508982338,0.24842410508333093,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,True,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,6.238367840293606e-10,0.026111542610815466,least_squares,255,None,177,37,18,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+197,one_hot_encoding,minority_coalescer,0.008212209535832581,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.054214363629698496,5.913822061973022e-07,49143.56497731505,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+199,no_encoding,minority_coalescer,0.44467269258042313,most_frequent,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,6.676910625638355e-09,0.052530803029130685,least_squares,255,None,31,20,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+201,one_hot_encoding,no_coalescense,,mean,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,2.093528627734622e-10,0.056993947028442245,least_squares,255,None,96,7,20,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+205,no_encoding,minority_coalescer,0.09414191730578808,most_frequent,robust_scaler,,,0.7647308347062624,0.25612852139750486,feature_agglomeration,,,,,,,,,,,,,,cosine,average,25,mean,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,friedman_mse,None,0.9807290179215522,None,0.0,1,16,0.0,,,,,,,,,,,,feature_type
+207,one_hot_encoding,minority_coalescer,0.010000000000000004,mean,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,True,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,6.085630700044881e-10,0.12392806728650493,least_squares,255,None,31,25,7,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+211,no_encoding,no_coalescense,,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,180.22479438529933,,,0.0012571604901280202,0.10272820821863678,rbf,-1,False,0.02945259690926852,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+214,one_hot_encoding,no_coalescense,,most_frequent,standardize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,True,,,,,,,,,,,,,sgd,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.00038839431353936653,False,,0.0007930509929393179,True,0.61724426807128,constant,squared_loss,elasticnet,,1.285973891441802e-05,feature_type
+217,one_hot_encoding,minority_coalescer,0.00013426375251483367,mean,quantile_transformer,1000,normal,,,extra_trees_preproc_for_regression,False,mae,None,0.9485456391530016,None,2,11,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,mae,None,1.0,None,0.0,1,5,0.0,,,,,,,,,,,,feature_type
+220,one_hot_encoding,minority_coalescer,0.0074901612162674314,median,quantile_transformer,1000,uniform,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.11837903484332993,fpr,f_regression,sgd,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.0009210650955968192,False,5.162916923614626e-05,0.010000000000000014,True,,invscaling,epsilon_insensitive,l1,0.25,0.0011697312333031576,feature_type
+222,no_encoding,no_coalescense,,most_frequent,quantile_transformer,1412,normal,,,feature_agglomeration,,,,,,,,,,,,,,manhattan,complete,103,max,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mae,None,0.14494079236825316,None,0.0,9,10,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+225,one_hot_encoding,minority_coalescer,0.010356286469647443,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,mlp,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,relu,6.108449182457731e-05,auto,0.9,0.999,valid,1e-08,3,0.00027704755935258253,32,101,True,adam,0.0001,0.1,,,,,,,,,,,,,,,,,,,,,feature_type
+228,no_encoding,minority_coalescer,0.0005112414168823774,median,standardize,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.4807408968132736,fdr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,5.775517309881741e-08,0.020024969424259676,least_squares,255,None,156,85,16,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+232,no_encoding,no_coalescense,,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,False,,,,,,,,,,,,,sgd,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.0006517033225329654,False,0.012150149892783745,0.016444224834275295,True,1.7462342366289323e-09,invscaling,epsilon_insensitive,elasticnet,0.21521743568582094,0.002431731981071206,feature_type
+235,one_hot_encoding,minority_coalescer,0.010000000000000004,most_frequent,standardize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.035440248140559884,1.142436233486746e-09,2235.498740920408,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+237,no_encoding,minority_coalescer,0.007741331259480108,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.020932011717701825,7.512295484675918e-08,427.92917011793116,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+240,one_hot_encoding,minority_coalescer,0.010000000000000004,mean,standardize,,,,,extra_trees_preproc_for_regression,True,friedman_mse,None,0.969236220539822,None,1,2,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.013068012551322245,2.979079708104577e-07,50599.0613366392,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+245,one_hot_encoding,minority_coalescer,0.052483220498897844,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.017488165983844263,4.199154538507709e-05,18825.14718012417,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+247,one_hot_encoding,minority_coalescer,0.014192135928954746,median,standardize,,,,,fast_ica,,,,,,,,,,deflation,exp,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1.4272136443763257,0.2694141260648879,2,0.10000000000000006,0.05757315877344016,poly,-1,False,0.0010000000000000002,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+251,no_encoding,no_coalescense,,median,standardize,,,,,extra_trees_preproc_for_regression,True,mae,None,0.7533134853493275,None,1,4,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,0.8025720428105109,0.2759754081799624,least_squares,255,None,18,172,11,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+253,no_encoding,minority_coalescer,0.26110798476806907,most_frequent,robust_scaler,,,0.7461372990016106,0.18481793818833603,extra_trees_preproc_for_regression,False,friedman_mse,None,0.754963329968397,None,13,20,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,True,mae,None,0.9353841799433302,None,0.0,20,8,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+257,one_hot_encoding,minority_coalescer,0.0216783950539192,mean,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,0.00010889929093369623,0.013461560146088193,least_squares,255,None,922,78,19,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+259,one_hot_encoding,no_coalescense,,median,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,False,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,False,mae,None,0.6818536175530396,None,0.0,11,11,0.0,,,,,,,,,,,,feature_type
+262,no_encoding,minority_coalescer,0.0017516626568532072,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.09414230179794553,1.3692618062770113e-09,15642.37580197983,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+265,one_hot_encoding,no_coalescense,,mean,standardize,,,,,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,24.560906712337708,f_regression,,,,decision_tree,,,,,,,,,,,,,mae,0.8468780775417923,1.0,None,0.0,9,17,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+269,no_encoding,minority_coalescer,0.11324357350799051,most_frequent,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,True,,,,,,,,,,,,,ard_regression,,,,,0.00014954470919422477,1.9262277034794773e-08,True,0.00022496118017024456,0.00042674670526235496,300,35523.21377524326,0.007079692553060248,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+270,one_hot_encoding,no_coalescense,,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.018036515123556758,5.016705964050539e-07,61163.021227932,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+274,one_hot_encoding,minority_coalescer,0.0002682359625135144,mean,quantile_transformer,1567,uniform,,,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,85.70259306141033,f_regression,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,6.536723381440492e-05,0.03940103065495631,least_squares,255,None,77,9,7,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+276,one_hot_encoding,no_coalescense,,median,minmax,,,,,pca,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.991729015298316,True,,,,,,,,,,,,,,,,adaboost,0.019011223549222432,linear,9,395,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+279,no_encoding,minority_coalescer,0.4873131661139947,mean,standardize,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.43441750135120694,fpr,f_regression,k_nearest_neighbors,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,2,distance,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+282,one_hot_encoding,minority_coalescer,0.026353623217953964,mean,none,,,,,extra_trees_preproc_for_regression,True,friedman_mse,None,0.8609499435062687,None,9,15,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.023379450779571848,2.659222467552488e-10,292.5678884045162,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+285,no_encoding,no_coalescense,,mean,minmax,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.2186105871515939,fdr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,0.10377482408306521,0.016255400771699312,least_squares,255,None,65,70,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
diff --git a/autosklearn/metalearning/files/mean_squared_error_regression_dense/configurations.csv b/autosklearn/metalearning/files/mean_squared_error_regression_dense/configurations.csv
index 52fdb0ce9f..c1fbd54024 100644
--- a/autosklearn/metalearning/files/mean_squared_error_regression_dense/configurations.csv
+++ b/autosklearn/metalearning/files/mean_squared_error_regression_dense/configurations.csv
@@ -1,98 +1,98 @@
-idx,data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__,data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__,data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction,data_preprocessor:feature_type:numerical_transformer:imputation:strategy,data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__,data_preprocessor:feature_type:numerical_transformer:rescaling:quantile_transformer:n_quantiles,data_preprocessor:feature_type:numerical_transformer:rescaling:quantile_transformer:output_distribution,data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_max,data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_min,feature_preprocessor:__choice__,feature_preprocessor:extra_trees_preproc_for_regression:bootstrap,feature_preprocessor:extra_trees_preproc_for_regression:criterion,feature_preprocessor:extra_trees_preproc_for_regression:max_depth,feature_preprocessor:extra_trees_preproc_for_regression:max_features,feature_preprocessor:extra_trees_preproc_for_regression:max_leaf_nodes,feature_preprocessor:extra_trees_preproc_for_regression:min_samples_leaf,feature_preprocessor:extra_trees_preproc_for_regression:min_samples_split,feature_preprocessor:extra_trees_preproc_for_regression:min_weight_fraction_leaf,feature_preprocessor:extra_trees_preproc_for_regression:n_estimators,feature_preprocessor:fast_ica:algorithm,feature_preprocessor:fast_ica:fun,feature_preprocessor:fast_ica:n_components,feature_preprocessor:fast_ica:whiten,feature_preprocessor:feature_agglomeration:affinity,feature_preprocessor:feature_agglomeration:linkage,feature_preprocessor:feature_agglomeration:n_clusters,feature_preprocessor:feature_agglomeration:pooling_func,feature_preprocessor:kernel_pca:coef0,feature_preprocessor:kernel_pca:degree,feature_preprocessor:kernel_pca:gamma,feature_preprocessor:kernel_pca:kernel,feature_preprocessor:kernel_pca:n_components,feature_preprocessor:kitchen_sinks:gamma,feature_preprocessor:kitchen_sinks:n_components,feature_preprocessor:nystroem_sampler:coef0,feature_preprocessor:nystroem_sampler:degree,feature_preprocessor:nystroem_sampler:gamma,feature_preprocessor:nystroem_sampler:kernel,feature_preprocessor:nystroem_sampler:n_components,feature_preprocessor:pca:keep_variance,feature_preprocessor:pca:whiten,feature_preprocessor:polynomial:degree,feature_preprocessor:polynomial:include_bias,feature_preprocessor:polynomial:interaction_only,feature_preprocessor:random_trees_embedding:bootstrap,feature_preprocessor:random_trees_embedding:max_depth,feature_preprocessor:random_trees_embedding:max_leaf_nodes,feature_preprocessor:random_trees_embedding:min_samples_leaf,feature_preprocessor:random_trees_embedding:min_samples_split,feature_preprocessor:random_trees_embedding:min_weight_fraction_leaf,feature_preprocessor:random_trees_embedding:n_estimators,feature_preprocessor:select_percentile_regression:percentile,feature_preprocessor:select_percentile_regression:score_func,feature_preprocessor:select_rates_regression:alpha,feature_preprocessor:select_rates_regression:mode,feature_preprocessor:select_rates_regression:score_func,regressor:__choice__,regressor:adaboost:learning_rate,regressor:adaboost:loss,regressor:adaboost:max_depth,regressor:adaboost:n_estimators,regressor:ard_regression:alpha_1,regressor:ard_regression:alpha_2,regressor:ard_regression:fit_intercept,regressor:ard_regression:lambda_1,regressor:ard_regression:lambda_2,regressor:ard_regression:n_iter,regressor:ard_regression:threshold_lambda,regressor:ard_regression:tol,regressor:decision_tree:criterion,regressor:decision_tree:max_depth_factor,regressor:decision_tree:max_features,regressor:decision_tree:max_leaf_nodes,regressor:decision_tree:min_impurity_decrease,regressor:decision_tree:min_samples_leaf,regressor:decision_tree:min_samples_split,regressor:decision_tree:min_weight_fraction_leaf,regressor:extra_trees:bootstrap,regressor:extra_trees:criterion,regressor:extra_trees:max_depth,regressor:extra_trees:max_features,regressor:extra_trees:max_leaf_nodes,regressor:extra_trees:min_impurity_decrease,regressor:extra_trees:min_samples_leaf,regressor:extra_trees:min_samples_split,regressor:extra_trees:min_weight_fraction_leaf,regressor:gaussian_process:alpha,regressor:gaussian_process:thetaL,regressor:gaussian_process:thetaU,regressor:gradient_boosting:early_stop,regressor:gradient_boosting:l2_regularization,regressor:gradient_boosting:learning_rate,regressor:gradient_boosting:loss,regressor:gradient_boosting:max_bins,regressor:gradient_boosting:max_depth,regressor:gradient_boosting:max_leaf_nodes,regressor:gradient_boosting:min_samples_leaf,regressor:gradient_boosting:n_iter_no_change,regressor:gradient_boosting:scoring,regressor:gradient_boosting:tol,regressor:gradient_boosting:validation_fraction,regressor:k_nearest_neighbors:n_neighbors,regressor:k_nearest_neighbors:p,regressor:k_nearest_neighbors:weights,regressor:liblinear_svr:C,regressor:liblinear_svr:dual,regressor:liblinear_svr:epsilon,regressor:liblinear_svr:fit_intercept,regressor:liblinear_svr:intercept_scaling,regressor:liblinear_svr:loss,regressor:liblinear_svr:tol,regressor:libsvm_svr:C,regressor:libsvm_svr:coef0,regressor:libsvm_svr:degree,regressor:libsvm_svr:epsilon,regressor:libsvm_svr:gamma,regressor:libsvm_svr:kernel,regressor:libsvm_svr:max_iter,regressor:libsvm_svr:shrinking,regressor:libsvm_svr:tol,regressor:mlp:activation,regressor:mlp:alpha,regressor:mlp:batch_size,regressor:mlp:beta_1,regressor:mlp:beta_2,regressor:mlp:early_stopping,regressor:mlp:epsilon,regressor:mlp:hidden_layer_depth,regressor:mlp:learning_rate_init,regressor:mlp:n_iter_no_change,regressor:mlp:num_nodes_per_layer,regressor:mlp:shuffle,regressor:mlp:solver,regressor:mlp:tol,regressor:mlp:validation_fraction,regressor:random_forest:bootstrap,regressor:random_forest:criterion,regressor:random_forest:max_depth,regressor:random_forest:max_features,regressor:random_forest:max_leaf_nodes,regressor:random_forest:min_impurity_decrease,regressor:random_forest:min_samples_leaf,regressor:random_forest:min_samples_split,regressor:random_forest:min_weight_fraction_leaf,regressor:sgd:alpha,regressor:sgd:average,regressor:sgd:epsilon,regressor:sgd:eta0,regressor:sgd:fit_intercept,regressor:sgd:l1_ratio,regressor:sgd:learning_rate,regressor:sgd:loss,regressor:sgd:penalty,regressor:sgd:power_t,regressor:sgd:tol,data_preprocessor:__choice__
-2,no_encoding,no_coalescense,,most_frequent,standardize,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.1,fpr,f_regression,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.019645201003537352,1.1170068633409441e-07,130.632960269528,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-6,one_hot_encoding,minority_coalescer,0.000400759453878678,mean,minmax,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.09988990258830989,fpr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,3.0002886744200357e-06,0.015673535665067875,least_squares,255,None,7,23,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-7,one_hot_encoding,no_coalescense,,most_frequent,quantile_transformer,809,uniform,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,True,,,,,,,,,,,,,sgd,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.01806079811541296,False,,0.015540128437738566,True,0.9326390049807726,constant,squared_loss,elasticnet,,0.00010576654619459039,feature_type
-10,one_hot_encoding,minority_coalescer,0.00010349207190621693,mean,quantile_transformer,229,normal,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.055967923991199715,1.8694491708470566e-10,1.8954846844548174,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-13,one_hot_encoding,no_coalescense,,mean,standardize,,,,,extra_trees_preproc_for_regression,False,mse,None,0.7631509999921062,None,2,2,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,mlp,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,relu,6.037842605388564e-07,auto,0.9,0.999,valid,1e-08,3,0.0001120732057918536,32,100,True,adam,0.0001,0.1,,,,,,,,,,,,,,,,,,,,,feature_type
-17,one_hot_encoding,minority_coalescer,0.010250361463446604,mean,minmax,,,,,fast_ica,,,,,,,,,,parallel,exp,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,194.03096694114694,,3,0.0010214279074797082,0.20113065159176252,rbf,-1,True,0.0206281932709369,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-19,one_hot_encoding,minority_coalescer,0.0013057623156653984,median,robust_scaler,,,0.7384386306109247,0.13619830011156256,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,47.935402876904554,f_regression,,,,sgd,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3.1920798638358104e-06,True,0.1,2.5662550861454332e-06,True,,invscaling,squared_epsilon_insensitive,l2,0.16443692558514034,7.823786229838958e-05,feature_type
-23,no_encoding,no_coalescense,,mean,quantile_transformer,626,uniform,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.1441108530403702,3.669712858764878e-08,63.38119089797623,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-26,no_encoding,no_coalescense,,mean,robust_scaler,,,0.7194207293244546,0.25,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,False,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,1e-10,0.04073473488071534,least_squares,255,None,22,4,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-28,no_encoding,minority_coalescer,0.00397868572473159,mean,robust_scaler,,,0.7840854273341944,0.11376189722146844,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,k_nearest_neighbors,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,20,2,distance,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-31,no_encoding,minority_coalescer,0.00014899709205673406,most_frequent,robust_scaler,,,0.8498515960462831,0.2493877412289307,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,53.074440365115905,mutual_info,,,,ard_regression,,,,,2.7664515192592053e-05,9.504988116581138e-07,True,4.184987756432487e-09,4.238533890074848e-07,300,78251.58542976103,0.0006951835906397672,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-34,one_hot_encoding,no_coalescense,,most_frequent,quantile_transformer,952,uniform,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,1.8428972335335263e-10,0.012607824914758717,least_squares,255,None,10,8,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-39,no_encoding,minority_coalescer,0.013069046428333956,mean,quantile_transformer,1389,normal,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,mse,None,0.7517792740390704,None,0.0,6,2,0.0,,,,,,,,,,,,feature_type
-40,no_encoding,minority_coalescer,0.032459358237118964,mean,quantile_transformer,245,normal,,,fast_ica,,,,,,,,,,parallel,exp,1538,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.010616529299999268,3.3168147703951036e-07,4.182958258383621,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-43,no_encoding,no_coalescense,,mean,standardize,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.034904198000955684,fdr,f_regression,liblinear_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,35.012615180923554,False,0.7326132441316412,True,1,squared_epsilon_insensitive,0.00012982617662684841,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-48,no_encoding,minority_coalescer,0.007285175031750927,most_frequent,standardize,,,,,kernel_pca,,,,,,,,,,,,,,,,,,,,0.3892888368591911,rbf,1205,,,,,,,,,,,,,,,,,,,,,,,,,liblinear_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,527.2805278622302,False,0.0023914129516101872,True,1,squared_epsilon_insensitive,3.308026672204565e-05,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-50,one_hot_encoding,minority_coalescer,0.01047631022335275,median,minmax,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,True,mse,None,0.5535883939348928,None,0.0,2,16,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-54,one_hot_encoding,minority_coalescer,0.06501698406855842,most_frequent,standardize,,,,,fast_ica,,,,,,,,,,parallel,cube,184,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.06138907077602462,2.1193402649051655e-10,10.458248457966066,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-57,one_hot_encoding,minority_coalescer,0.0010413452644415357,mean,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,False,mae,None,0.6277363920171745,None,0.0,6,15,0.0,,,,,,,,,,,,feature_type
-58,one_hot_encoding,no_coalescense,,median,standardize,,,,,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,22.538520410186127,f_regression,,,,liblinear_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.036388789196735646,False,0.0012739627397164333,True,1,squared_epsilon_insensitive,0.020180468804448126,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-63,no_encoding,no_coalescense,,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,True,mse,None,0.9615263480351033,None,0.0,1,2,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-66,no_encoding,minority_coalescer,0.00016754269505428354,median,quantile_transformer,170,uniform,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mse,None,0.6962692885049272,None,0.0,17,17,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-67,no_encoding,no_coalescense,,median,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,valid,0.0018018055158809108,0.05048450688348591,least_squares,255,None,3,1,19,loss,1e-07,0.19819612428903174,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-70,no_encoding,minority_coalescer,0.015521269213050653,mean,quantile_transformer,472,normal,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,False,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,mse,None,0.1509528252746419,None,0.0,17,2,0.0,,,,,,,,,,,,feature_type
-73,no_encoding,minority_coalescer,0.010000000000000004,mean,none,,,,,feature_agglomeration,,,,,,,,,,,,,,manhattan,average,26,max,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.051300886003085196,0.00012664987999260594,4.670733780898565,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-77,no_encoding,minority_coalescer,0.28144748021848814,mean,robust_scaler,,,0.8771493204875395,0.13693823573634356,fast_ica,,,,,,,,,,deflation,cube,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,friedman_mse,None,1.0,None,0.0,1,2,0.0,,,,,,,,,,,,feature_type
-79,no_encoding,minority_coalescer,0.042366198588653134,most_frequent,minmax,,,,,fast_ica,,,,,,,,,,deflation,logcosh,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,7277.320824640944,,2,0.0013490872095510865,0.03233188643981015,rbf,-1,True,0.0034607903098849255,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-82,no_encoding,minority_coalescer,0.05607310321489163,mean,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,28831.968873651404,0.39386733846748023,3,0.12370783564202235,0.0026233747431769617,poly,-1,True,4.714268123196739e-05,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-86,one_hot_encoding,no_coalescense,,most_frequent,standardize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,ard_regression,,,,,0.0003701926442639788,2.2118001735899097e-07,True,1.2037591637980971e-06,4.358378124977852e-09,300,1136.5286041327277,0.021944240404849075,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-89,one_hot_encoding,minority_coalescer,0.0011912229897445134,mean,standardize,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,0.005746611563553693,0.0913971028976721,least_squares,255,None,9,2,20,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-92,no_encoding,no_coalescense,,most_frequent,standardize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,True,,,,,,,,,,,,,mlp,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,tanh,0.00023501461451248853,auto,0.9,0.999,train,1e-08,1,0.00014972142082858664,32,234,True,adam,0.0001,,,,,,,,,,,,,,,,,,,,,,feature_type
-95,one_hot_encoding,minority_coalescer,0.010000000000000004,median,robust_scaler,,,0.7912621507143142,0.2637968890661204,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,5.997418027353535e-10,0.12286466971783992,least_squares,255,None,26,8,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-98,no_encoding,no_coalescense,,mean,robust_scaler,,,0.7010465420634562,0.19032833128592427,feature_agglomeration,,,,,,,,,,,,,,euclidean,ward,31,max,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,friedman_mse,None,0.7612289466695656,None,0.0,1,2,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-101,one_hot_encoding,no_coalescense,,median,robust_scaler,,,0.7548820011150241,0.02964869664953053,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,valid,3.1008789875481045e-10,0.9742767231340886,least_squares,255,None,76,8,10,loss,1e-07,0.08508571055472691,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-102,no_encoding,minority_coalescer,0.00829519231049576,mean,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,ard_regression,,,,,4.7044575285722365e-05,0.000629863807127318,True,7.584067704707025e-10,3.923255608410879e-08,300,4052.403778957396,0.009359388994186051,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-105,one_hot_encoding,no_coalescense,,median,none,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.4686252124441843,fpr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,valid,0.0038606936054114,0.020266625124044115,least_squares,255,None,458,158,18,loss,1e-07,0.27775972890692574,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-107,no_encoding,no_coalescense,,mean,robust_scaler,,,0.7727512096172742,0.22461598115758682,feature_agglomeration,,,,,,,,,,,,,,manhattan,complete,21,max,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,2.208787572338781e-05,0.036087332404571744,least_squares,255,None,64,3,18,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-110,no_encoding,minority_coalescer,0.0006869013905922761,mean,quantile_transformer,1352,normal,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.07357548990881542,fpr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,3.20414911914726e-10,0.1279702444496931,least_squares,255,None,63,19,8,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-115,no_encoding,no_coalescense,,mean,normalize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,ard_regression,,,,,0.0007694645303288904,6.907464089785431e-06,True,5.725240603355948e-06,2.2747405613470773e-05,300,58747.57814168738,5.818442213575333e-05,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-117,no_encoding,no_coalescense,,most_frequent,none,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.2031136218970144,,,0.340528001967228,,linear,-1,False,4.070347915643521e-05,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-119,no_encoding,minority_coalescer,0.0024824409953506307,most_frequent,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,True,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,friedman_mse,None,0.8276036843429629,None,0.0,5,13,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-124,one_hot_encoding,no_coalescense,,median,quantile_transformer,1779,normal,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,4.957506578736309e-07,0.05200721900508807,least_squares,255,None,4,2,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-126,no_encoding,minority_coalescer,0.010222641912650656,median,quantile_transformer,1092,uniform,,,feature_agglomeration,,,,,,,,,,,,,,euclidean,ward,59,mean,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,adaboost,0.010571278032840276,linear,10,116,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-128,one_hot_encoding,no_coalescense,,most_frequent,quantile_transformer,1040,uniform,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,1.27381234568573e-07,0.02758260805263155,least_squares,255,None,57,5,1,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-132,one_hot_encoding,minority_coalescer,0.0001745391328519669,most_frequent,robust_scaler,,,0.8057830372269097,0.24982831110057324,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.3621762718897781,fwe,f_regression,ard_regression,,,,,2.7664515192592053e-05,9.504988116581138e-07,True,6.50650698230178e-09,4.238533890074848e-07,300,78251.58542976103,0.0007301343236220855,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-136,one_hot_encoding,minority_coalescer,0.008225465238838799,most_frequent,quantile_transformer,709,uniform,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2.1305589487469477e-06,0.0002524679984945707,57.09316986719562,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-138,no_encoding,minority_coalescer,0.018981164720696175,median,minmax,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.03175182874113965,0.00030344963288406407,64164.586360277535,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-140,no_encoding,no_coalescense,,median,minmax,,,,,feature_agglomeration,,,,,,,,,,,,,,euclidean,average,272,median,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mse,None,0.5120356089629183,None,0.0,1,4,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-144,one_hot_encoding,minority_coalescer,0.0033650478527174027,median,none,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,True,friedman_mse,None,0.7303174358688075,None,0.0,10,10,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-148,no_encoding,no_coalescense,,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,ard_regression,,,,,0.0005879259823371087,3.410007832100047e-07,True,1.6597956274062097e-05,9.910691609164284e-10,300,2203.910297381356,0.006471761365578467,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-150,no_encoding,no_coalescense,,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mse,None,0.9797793053686011,None,0.0,1,4,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-153,one_hot_encoding,minority_coalescer,0.00013899061331455512,mean,minmax,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.19203734614573903,fdr,f_regression,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.28764734226521,1.5934220315148466e-07,59443.23501615305,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-156,no_encoding,minority_coalescer,0.013018052591541176,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,friedman_mse,None,0.9734334465992716,None,0.0,2,9,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-158,one_hot_encoding,minority_coalescer,0.0001897686484596082,median,robust_scaler,,,0.7768342897092668,0.27222390764426924,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.00025503968621419157,1.161826998793312e-08,80.91415602800988,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-160,one_hot_encoding,no_coalescense,,mean,standardize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,False,,,,,,,,,,,,,ard_regression,,,,,0.0007518973788007592,2.1035374255689506e-10,True,1.9130145173139983e-06,6.539971988038889e-10,300,3146.7808694741443,0.0003708004149981124,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-163,no_encoding,no_coalescense,,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,True,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.283161627129086,7.245332579977274e-08,36.28453043772396,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-168,one_hot_encoding,minority_coalescer,0.001512533360913062,median,none,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.07521950921951931,fwe,f_regression,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,friedman_mse,None,0.7805550079834586,None,0.0,3,20,0.0,,,,,,,,,,,,feature_type
-171,one_hot_encoding,no_coalescense,,mean,quantile_transformer,268,uniform,,,feature_agglomeration,,,,,,,,,,,,,,euclidean,average,107,median,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.42928092501196696,1.4435895787652725e-07,8.108685026706572,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-174,one_hot_encoding,no_coalescense,,most_frequent,none,,,,,fast_ica,,,,,,,,,,deflation,exp,671,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,ard_regression,,,,,4.124442820298477e-05,1.161663644436331e-06,True,1.5236144126449076e-09,0.00046882633285888015,300,86828.75337540788,0.0010379122151177183,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-176,one_hot_encoding,minority_coalescer,0.019566163649872924,most_frequent,robust_scaler,,,0.7200608810425068,0.22968043330398744,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.18539282936320728,fwe,f_regression,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mae,None,0.9029989558220115,None,0.0,1,2,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-179,no_encoding,no_coalescense,,most_frequent,normalize,,,,,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,91.55750915031366,mutual_info,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,True,friedman_mse,None,0.24739007040418165,None,0.0,4,17,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-182,one_hot_encoding,no_coalescense,,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,valid,0.013442521728157596,0.15308825058123207,least_squares,255,None,26,6,20,loss,1e-07,0.08504769517258337,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-184,no_encoding,no_coalescense,,mean,normalize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,True,,,,,,,,,,,,,ard_regression,,,,,6.074038958967586e-05,4.934531533509717e-07,True,0.00034504048920015604,1.4861857758465898e-06,300,1995.6088649916076,0.0033943514455527686,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-186,no_encoding,minority_coalescer,0.010515112787842862,most_frequent,quantile_transformer,583,uniform,,,feature_agglomeration,,,,,,,,,,,,,,euclidean,average,5,mean,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.00015169626319121407,0.0006853872700383563,80227.86048666916,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-191,one_hot_encoding,minority_coalescer,0.039520728280417826,mean,minmax,,,,,kitchen_sinks,,,,,,,,,,,,,,,,,,,,,,,5.288249085278679,4176,,,,,,,,,,,,,,,,,,,,,,,liblinear_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,224.245634141281,False,0.009173958659191201,True,1,squared_epsilon_insensitive,1.9920161216131034e-05,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-193,no_encoding,no_coalescense,,mean,robust_scaler,,,0.7550402508982338,0.24842410508333093,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,True,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,6.238367840293606e-10,0.026111542610815466,least_squares,255,None,177,37,18,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-197,one_hot_encoding,minority_coalescer,0.009368863843266871,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.02846835702208294,1.2011941574832026e-06,67511.87095482116,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-199,no_encoding,minority_coalescer,0.44467269258042313,most_frequent,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,6.676910625638355e-09,0.052530803029130685,least_squares,255,None,31,20,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-201,one_hot_encoding,minority_coalescer,0.0022298554040543614,most_frequent,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,1.3053128884667706e-10,0.05594167483605857,least_squares,255,None,85,10,4,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-204,no_encoding,minority_coalescer,0.22734310669224594,most_frequent,robust_scaler,,,0.9761574925741068,0.2928944546265386,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.04882039966006706,fdr,f_regression,extra_trees,,,,,,,,,,,,,,,,,,,,,False,friedman_mse,None,0.9982746726091221,None,0.0,4,2,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-207,one_hot_encoding,minority_coalescer,0.010000000000000004,mean,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,True,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,6.085630700044881e-10,0.12392806728650493,least_squares,255,None,31,25,7,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-211,no_encoding,no_coalescense,,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,180.22479438529933,,4,0.0012571604901280202,0.10272820821863678,rbf,-1,False,0.02945259690926852,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-214,one_hot_encoding,no_coalescense,,most_frequent,standardize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,True,,,,,,,,,,,,,sgd,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.00038839431353936653,False,,0.0007930509929393179,True,0.61724426807128,constant,squared_loss,elasticnet,,1.285973891441802e-05,feature_type
-217,one_hot_encoding,minority_coalescer,0.00013426375251483367,mean,quantile_transformer,1000,normal,,,extra_trees_preproc_for_regression,False,mae,None,0.9485456391530016,None,2,11,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,mae,None,1.0,None,0.0,1,5,0.0,,,,,,,,,,,,feature_type
-221,one_hot_encoding,minority_coalescer,0.009016977995123954,most_frequent,standardize,,,,,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,94.50207398648911,f_regression,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,False,mse,None,0.18485496201511814,None,0.0,18,18,0.0,,,,,,,,,,,,feature_type
-224,one_hot_encoding,no_coalescense,,median,quantile_transformer,1016,uniform,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.3992671482410072,fpr,f_regression,extra_trees,,,,,,,,,,,,,,,,,,,,,True,mse,None,0.2477939208870194,None,0.0,2,4,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-225,one_hot_encoding,minority_coalescer,0.010356286469647443,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,mlp,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,relu,6.108449182457731e-05,auto,0.9,0.999,valid,1e-08,3,0.00027704755935258253,32,101,True,adam,0.0001,0.1,,,,,,,,,,,,,,,,,,,,,feature_type
-228,no_encoding,minority_coalescer,0.0005112414168823774,median,standardize,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.4807408968132736,fdr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,5.775517309881741e-08,0.020024969424259676,least_squares,255,None,156,85,16,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-232,no_encoding,no_coalescense,,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,False,,,,,,,,,,,,,sgd,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.0006517033225329654,False,0.012150149892783745,0.016444224834275295,True,1.7462342366289323e-09,invscaling,epsilon_insensitive,elasticnet,0.21521743568582094,0.002431731981071206,feature_type
-235,one_hot_encoding,minority_coalescer,0.010000000000000004,most_frequent,standardize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.035440248140559884,1.142436233486746e-09,2235.498740920408,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-237,no_encoding,minority_coalescer,0.007741331259480108,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.020932011717701825,7.512295484675918e-08,427.92917011793116,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-240,one_hot_encoding,minority_coalescer,0.010000000000000004,mean,standardize,,,,,extra_trees_preproc_for_regression,True,friedman_mse,None,0.969236220539822,None,1,2,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.013068012551322245,2.979079708104577e-07,50599.0613366392,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-245,one_hot_encoding,minority_coalescer,0.052483220498897844,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.017488165983844263,4.199154538507709e-05,18825.14718012417,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-247,one_hot_encoding,minority_coalescer,0.014192135928954746,median,standardize,,,,,fast_ica,,,,,,,,,,deflation,exp,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1.4272136443763257,0.2694141260648879,2,0.10000000000000006,0.05757315877344016,poly,-1,False,0.0010000000000000002,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-251,no_encoding,no_coalescense,,median,standardize,,,,,extra_trees_preproc_for_regression,True,mae,None,0.7533134853493275,None,1,4,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,0.8025720428105109,0.2759754081799624,least_squares,255,None,18,172,11,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-252,one_hot_encoding,minority_coalescer,0.0001745391328519669,most_frequent,robust_scaler,,,0.8057830372269097,0.24982831110057324,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.3621762718897781,fwe,f_regression,ard_regression,,,,,2.7664515192592053e-05,9.504988116581138e-07,True,6.50650698230178e-09,4.238533890074848e-07,300,78251.58542976103,0.0007301343236220855,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-257,one_hot_encoding,minority_coalescer,0.0216783950539192,mean,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,0.00010889929093369623,0.013461560146088193,least_squares,255,None,922,78,19,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-258,no_encoding,minority_coalescer,0.06944124485705933,median,robust_scaler,,,0.9459191670017113,0.19705568051981365,feature_agglomeration,,,,,,,,,,,,,,euclidean,ward,25,median,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,ard_regression,,,,,1.3451538602739027e-05,9.646408445137836e-08,True,2.5198380744059647e-07,3.03274213695262e-10,300,1212.6400146193068,0.0014720713972345503,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-262,no_encoding,minority_coalescer,0.0017516626568532072,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.09414230179794553,1.3692618062770113e-09,15642.37580197983,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-266,no_encoding,minority_coalescer,0.0002660105205394136,median,none,,,,,fast_ica,,,,,,,,,,deflation,logcosh,977,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,liblinear_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.1637099972824213,False,0.5342957861386396,True,1,squared_epsilon_insensitive,0.00011557548242116838,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-268,no_encoding,minority_coalescer,0.019298178366706394,mean,minmax,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,decision_tree,,,,,,,,,,,,,mae,0.2781806943014362,1.0,None,0.0,17,7,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-270,one_hot_encoding,no_coalescense,,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.037731974209709904,5.002213042554931e-07,22409.945864393645,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-274,one_hot_encoding,minority_coalescer,0.0002682359625135144,mean,quantile_transformer,1567,uniform,,,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,85.70259306141033,f_regression,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,6.536723381440492e-05,0.03940103065495631,least_squares,255,None,77,9,7,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-276,one_hot_encoding,no_coalescense,,median,minmax,,,,,pca,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.991729015298316,True,,,,,,,,,,,,,,,,adaboost,0.019011223549222432,linear,9,395,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-279,no_encoding,minority_coalescer,0.4873131661139947,mean,standardize,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.43441750135120694,fpr,f_regression,k_nearest_neighbors,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,2,distance,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-282,one_hot_encoding,minority_coalescer,0.024334629729258105,most_frequent,standardize,,,,,extra_trees_preproc_for_regression,False,mae,None,0.9280962404032027,None,1,11,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.02341626598167312,1.0753192773067984e-09,30626.12455645968,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-285,no_encoding,no_coalescense,,mean,minmax,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.2186105871515939,fdr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,0.10377482408306521,0.016255400771699312,least_squares,255,None,65,70,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+idx,data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__,data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__,data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction,data_preprocessor:feature_type:numerical_transformer:imputation:strategy,data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__,data_preprocessor:feature_type:numerical_transformer:rescaling:quantile_transformer:n_quantiles,data_preprocessor:feature_type:numerical_transformer:rescaling:quantile_transformer:output_distribution,data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_max,data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_min,feature_preprocessor:__choice__,feature_preprocessor:extra_trees_preproc_for_regression:bootstrap,feature_preprocessor:extra_trees_preproc_for_regression:criterion,feature_preprocessor:extra_trees_preproc_for_regression:max_depth,feature_preprocessor:extra_trees_preproc_for_regression:max_features,feature_preprocessor:extra_trees_preproc_for_regression:max_leaf_nodes,feature_preprocessor:extra_trees_preproc_for_regression:min_samples_leaf,feature_preprocessor:extra_trees_preproc_for_regression:min_samples_split,feature_preprocessor:extra_trees_preproc_for_regression:min_weight_fraction_leaf,feature_preprocessor:extra_trees_preproc_for_regression:n_estimators,feature_preprocessor:fast_ica:algorithm,feature_preprocessor:fast_ica:fun,feature_preprocessor:fast_ica:n_components,feature_preprocessor:fast_ica:whiten,feature_preprocessor:feature_agglomeration:affinity,feature_preprocessor:feature_agglomeration:linkage,feature_preprocessor:feature_agglomeration:n_clusters,feature_preprocessor:feature_agglomeration:pooling_func,feature_preprocessor:kernel_pca:coef0,feature_preprocessor:kernel_pca:degree,feature_preprocessor:kernel_pca:gamma,feature_preprocessor:kernel_pca:kernel,feature_preprocessor:kernel_pca:n_components,feature_preprocessor:kitchen_sinks:gamma,feature_preprocessor:kitchen_sinks:n_components,feature_preprocessor:nystroem_sampler:coef0,feature_preprocessor:nystroem_sampler:degree,feature_preprocessor:nystroem_sampler:gamma,feature_preprocessor:nystroem_sampler:kernel,feature_preprocessor:nystroem_sampler:n_components,feature_preprocessor:pca:keep_variance,feature_preprocessor:pca:whiten,feature_preprocessor:polynomial:degree,feature_preprocessor:polynomial:include_bias,feature_preprocessor:polynomial:interaction_only,feature_preprocessor:random_trees_embedding:bootstrap,feature_preprocessor:random_trees_embedding:max_depth,feature_preprocessor:random_trees_embedding:max_leaf_nodes,feature_preprocessor:random_trees_embedding:min_samples_leaf,feature_preprocessor:random_trees_embedding:min_samples_split,feature_preprocessor:random_trees_embedding:min_weight_fraction_leaf,feature_preprocessor:random_trees_embedding:n_estimators,feature_preprocessor:select_percentile_regression:percentile,feature_preprocessor:select_percentile_regression:score_func,feature_preprocessor:select_rates_regression:alpha,feature_preprocessor:select_rates_regression:mode,feature_preprocessor:select_rates_regression:score_func,regressor:__choice__,regressor:adaboost:learning_rate,regressor:adaboost:loss,regressor:adaboost:max_depth,regressor:adaboost:n_estimators,regressor:ard_regression:alpha_1,regressor:ard_regression:alpha_2,regressor:ard_regression:fit_intercept,regressor:ard_regression:lambda_1,regressor:ard_regression:lambda_2,regressor:ard_regression:n_iter,regressor:ard_regression:threshold_lambda,regressor:ard_regression:tol,regressor:decision_tree:criterion,regressor:decision_tree:max_depth_factor,regressor:decision_tree:max_features,regressor:decision_tree:max_leaf_nodes,regressor:decision_tree:min_impurity_decrease,regressor:decision_tree:min_samples_leaf,regressor:decision_tree:min_samples_split,regressor:decision_tree:min_weight_fraction_leaf,regressor:extra_trees:bootstrap,regressor:extra_trees:criterion,regressor:extra_trees:max_depth,regressor:extra_trees:max_features,regressor:extra_trees:max_leaf_nodes,regressor:extra_trees:min_impurity_decrease,regressor:extra_trees:min_samples_leaf,regressor:extra_trees:min_samples_split,regressor:extra_trees:min_weight_fraction_leaf,regressor:gaussian_process:alpha,regressor:gaussian_process:thetaL,regressor:gaussian_process:thetaU,regressor:gradient_boosting:early_stop,regressor:gradient_boosting:l2_regularization,regressor:gradient_boosting:learning_rate,regressor:gradient_boosting:loss,regressor:gradient_boosting:max_bins,regressor:gradient_boosting:max_depth,regressor:gradient_boosting:max_leaf_nodes,regressor:gradient_boosting:min_samples_leaf,regressor:gradient_boosting:n_iter_no_change,regressor:gradient_boosting:scoring,regressor:gradient_boosting:tol,regressor:gradient_boosting:validation_fraction,regressor:k_nearest_neighbors:n_neighbors,regressor:k_nearest_neighbors:p,regressor:k_nearest_neighbors:weights,regressor:liblinear_svr:C,regressor:liblinear_svr:dual,regressor:liblinear_svr:epsilon,regressor:liblinear_svr:fit_intercept,regressor:liblinear_svr:intercept_scaling,regressor:liblinear_svr:loss,regressor:liblinear_svr:tol,regressor:libsvm_svr:C,regressor:libsvm_svr:coef0,regressor:libsvm_svr:degree,regressor:libsvm_svr:epsilon,regressor:libsvm_svr:gamma,regressor:libsvm_svr:kernel,regressor:libsvm_svr:max_iter,regressor:libsvm_svr:shrinking,regressor:libsvm_svr:tol,regressor:mlp:activation,regressor:mlp:alpha,regressor:mlp:batch_size,regressor:mlp:beta_1,regressor:mlp:beta_2,regressor:mlp:early_stopping,regressor:mlp:epsilon,regressor:mlp:hidden_layer_depth,regressor:mlp:learning_rate_init,regressor:mlp:n_iter_no_change,regressor:mlp:num_nodes_per_layer,regressor:mlp:shuffle,regressor:mlp:solver,regressor:mlp:tol,regressor:mlp:validation_fraction,regressor:random_forest:bootstrap,regressor:random_forest:criterion,regressor:random_forest:max_depth,regressor:random_forest:max_features,regressor:random_forest:max_leaf_nodes,regressor:random_forest:min_impurity_decrease,regressor:random_forest:min_samples_leaf,regressor:random_forest:min_samples_split,regressor:random_forest:min_weight_fraction_leaf,regressor:sgd:alpha,regressor:sgd:average,regressor:sgd:epsilon,regressor:sgd:eta0,regressor:sgd:fit_intercept,regressor:sgd:l1_ratio,regressor:sgd:learning_rate,regressor:sgd:loss,regressor:sgd:penalty,regressor:sgd:power_t,regressor:sgd:tol,data_preprocessor:__choice__
+2,no_encoding,no_coalescense,,most_frequent,standardize,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.1,fpr,f_regression,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.019645201003537352,1.1170068633409441e-07,130.632960269528,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+6,one_hot_encoding,minority_coalescer,0.000400759453878678,mean,minmax,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.09988990258830989,fpr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,3.0002886744200357e-06,0.015673535665067875,least_squares,255,None,7,23,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+7,one_hot_encoding,no_coalescense,,most_frequent,quantile_transformer,809,uniform,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,True,,,,,,,,,,,,,sgd,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.01806079811541296,False,,0.015540128437738566,True,0.9326390049807726,constant,squared_loss,elasticnet,,0.00010576654619459039,feature_type
+10,one_hot_encoding,minority_coalescer,0.00010349207190621693,mean,quantile_transformer,229,normal,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.055967923991199715,1.8694491708470566e-10,1.8954846844548174,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+13,one_hot_encoding,no_coalescense,,mean,standardize,,,,,extra_trees_preproc_for_regression,False,mse,None,0.7631509999921062,None,2,2,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,mlp,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,relu,6.037842605388564e-07,auto,0.9,0.999,valid,1e-08,3,0.0001120732057918536,32,100,True,adam,0.0001,0.1,,,,,,,,,,,,,,,,,,,,,feature_type
+17,one_hot_encoding,minority_coalescer,0.010250361463446604,mean,minmax,,,,,fast_ica,,,,,,,,,,parallel,exp,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,194.03096694114694,,,0.0010214279074797082,0.20113065159176252,rbf,-1,True,0.0206281932709369,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+19,one_hot_encoding,minority_coalescer,0.0013057623156653984,median,robust_scaler,,,0.7384386306109247,0.13619830011156256,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,47.935402876904554,f_regression,,,,sgd,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3.1920798638358104e-06,True,0.1,2.5662550861454332e-06,True,,invscaling,squared_epsilon_insensitive,l2,0.16443692558514034,7.823786229838958e-05,feature_type
+23,no_encoding,no_coalescense,,mean,quantile_transformer,626,uniform,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.1441108530403702,3.669712858764878e-08,63.38119089797623,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+26,no_encoding,no_coalescense,,mean,robust_scaler,,,0.7194207293244546,0.25,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,False,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,1e-10,0.04073473488071534,least_squares,255,None,22,4,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+28,no_encoding,minority_coalescer,0.00397868572473159,mean,robust_scaler,,,0.7840854273341944,0.11376189722146844,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,k_nearest_neighbors,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,20,2,distance,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+31,no_encoding,minority_coalescer,0.00014899709205673406,most_frequent,robust_scaler,,,0.8498515960462831,0.2493877412289307,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,53.074440365115905,mutual_info,,,,ard_regression,,,,,2.7664515192592053e-05,9.504988116581138e-07,True,4.184987756432487e-09,4.238533890074848e-07,300,78251.58542976103,0.0006951835906397672,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+34,one_hot_encoding,no_coalescense,,most_frequent,quantile_transformer,952,uniform,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,1.8428972335335263e-10,0.012607824914758717,least_squares,255,None,10,8,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+39,no_encoding,minority_coalescer,0.013069046428333956,mean,quantile_transformer,1389,normal,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,mse,None,0.7517792740390704,None,0.0,6,2,0.0,,,,,,,,,,,,feature_type
+40,no_encoding,minority_coalescer,0.032459358237118964,mean,quantile_transformer,245,normal,,,fast_ica,,,,,,,,,,parallel,exp,1538,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.010616529299999268,3.3168147703951036e-07,4.182958258383621,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+43,no_encoding,no_coalescense,,mean,standardize,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.034904198000955684,fdr,f_regression,liblinear_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,35.012615180923554,False,0.7326132441316412,True,1,squared_epsilon_insensitive,0.00012982617662684841,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+48,no_encoding,minority_coalescer,0.007285175031750927,most_frequent,standardize,,,,,kernel_pca,,,,,,,,,,,,,,,,,,,,0.3892888368591911,rbf,1205,,,,,,,,,,,,,,,,,,,,,,,,,liblinear_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,527.2805278622302,False,0.0023914129516101872,True,1,squared_epsilon_insensitive,3.308026672204565e-05,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+50,one_hot_encoding,minority_coalescer,0.01047631022335275,median,minmax,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,True,mse,None,0.5535883939348928,None,0.0,2,16,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+54,one_hot_encoding,minority_coalescer,0.06501698406855842,most_frequent,standardize,,,,,fast_ica,,,,,,,,,,parallel,cube,184,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.06138907077602462,2.1193402649051655e-10,10.458248457966066,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+57,one_hot_encoding,minority_coalescer,0.0010413452644415357,mean,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,False,mae,None,0.6277363920171745,None,0.0,6,15,0.0,,,,,,,,,,,,feature_type
+58,one_hot_encoding,no_coalescense,,median,standardize,,,,,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,22.538520410186127,f_regression,,,,liblinear_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.036388789196735646,False,0.0012739627397164333,True,1,squared_epsilon_insensitive,0.020180468804448126,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+63,no_encoding,no_coalescense,,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,True,mse,None,0.9615263480351033,None,0.0,1,2,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+66,no_encoding,minority_coalescer,0.00016754269505428354,median,quantile_transformer,170,uniform,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mse,None,0.6962692885049272,None,0.0,17,17,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+67,no_encoding,no_coalescense,,median,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,valid,0.0018018055158809108,0.05048450688348591,least_squares,255,None,3,1,19,loss,1e-07,0.19819612428903174,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+70,no_encoding,minority_coalescer,0.015521269213050653,mean,quantile_transformer,472,normal,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,False,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,mse,None,0.1509528252746419,None,0.0,17,2,0.0,,,,,,,,,,,,feature_type
+73,no_encoding,minority_coalescer,0.010000000000000004,mean,none,,,,,feature_agglomeration,,,,,,,,,,,,,,manhattan,average,26,max,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.051300886003085196,0.00012664987999260594,4.670733780898565,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+77,no_encoding,minority_coalescer,0.28144748021848814,mean,robust_scaler,,,0.8771493204875395,0.13693823573634356,fast_ica,,,,,,,,,,deflation,cube,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,friedman_mse,None,1.0,None,0.0,1,2,0.0,,,,,,,,,,,,feature_type
+79,no_encoding,minority_coalescer,0.042366198588653134,most_frequent,minmax,,,,,fast_ica,,,,,,,,,,deflation,logcosh,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,7277.320824640944,,,0.0013490872095510865,0.03233188643981015,rbf,-1,True,0.0034607903098849255,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+82,no_encoding,minority_coalescer,0.05607310321489163,mean,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,28831.968873651404,0.39386733846748023,3,0.12370783564202235,0.0026233747431769617,poly,-1,True,4.714268123196739e-05,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+86,one_hot_encoding,no_coalescense,,most_frequent,standardize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,ard_regression,,,,,0.0003701926442639788,2.2118001735899097e-07,True,1.2037591637980971e-06,4.358378124977852e-09,300,1136.5286041327277,0.021944240404849075,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+89,one_hot_encoding,minority_coalescer,0.0011912229897445134,mean,standardize,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,0.005746611563553693,0.0913971028976721,least_squares,255,None,9,2,20,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+92,no_encoding,no_coalescense,,most_frequent,standardize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,True,,,,,,,,,,,,,mlp,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,tanh,0.00023501461451248853,auto,0.9,0.999,train,1e-08,1,0.00014972142082858664,32,234,True,adam,0.0001,,,,,,,,,,,,,,,,,,,,,,feature_type
+95,one_hot_encoding,minority_coalescer,0.010000000000000004,median,robust_scaler,,,0.7912621507143142,0.2637968890661204,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,5.997418027353535e-10,0.12286466971783992,least_squares,255,None,26,8,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+98,no_encoding,no_coalescense,,mean,robust_scaler,,,0.7010465420634562,0.19032833128592427,feature_agglomeration,,,,,,,,,,,,,,euclidean,ward,31,max,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,friedman_mse,None,0.7612289466695656,None,0.0,1,2,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+101,one_hot_encoding,no_coalescense,,median,robust_scaler,,,0.7548820011150241,0.02964869664953053,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,valid,3.1008789875481045e-10,0.9742767231340886,least_squares,255,None,76,8,10,loss,1e-07,0.08508571055472691,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+102,no_encoding,minority_coalescer,0.00829519231049576,mean,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,ard_regression,,,,,4.7044575285722365e-05,0.000629863807127318,True,7.584067704707025e-10,3.923255608410879e-08,300,4052.403778957396,0.009359388994186051,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+105,one_hot_encoding,no_coalescense,,median,none,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.4686252124441843,fpr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,valid,0.0038606936054114,0.020266625124044115,least_squares,255,None,458,158,18,loss,1e-07,0.27775972890692574,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+107,no_encoding,no_coalescense,,mean,robust_scaler,,,0.7727512096172742,0.22461598115758682,feature_agglomeration,,,,,,,,,,,,,,manhattan,complete,21,max,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,2.208787572338781e-05,0.036087332404571744,least_squares,255,None,64,3,18,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+110,no_encoding,minority_coalescer,0.0006869013905922761,mean,quantile_transformer,1352,normal,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.07357548990881542,fpr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,3.20414911914726e-10,0.1279702444496931,least_squares,255,None,63,19,8,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+115,no_encoding,no_coalescense,,mean,normalize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,ard_regression,,,,,0.0007694645303288904,6.907464089785431e-06,True,5.725240603355948e-06,2.2747405613470773e-05,300,58747.57814168738,5.818442213575333e-05,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+117,no_encoding,no_coalescense,,most_frequent,none,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.2031136218970144,,,0.340528001967228,,linear,-1,False,4.070347915643521e-05,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+119,no_encoding,minority_coalescer,0.0024824409953506307,most_frequent,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,True,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,friedman_mse,None,0.8276036843429629,None,0.0,5,13,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+124,one_hot_encoding,no_coalescense,,median,quantile_transformer,1779,normal,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,4.957506578736309e-07,0.05200721900508807,least_squares,255,None,4,2,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+126,no_encoding,minority_coalescer,0.010222641912650656,median,quantile_transformer,1092,uniform,,,feature_agglomeration,,,,,,,,,,,,,,euclidean,ward,59,mean,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,adaboost,0.010571278032840276,linear,10,116,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+128,one_hot_encoding,no_coalescense,,most_frequent,quantile_transformer,1040,uniform,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,1.27381234568573e-07,0.02758260805263155,least_squares,255,None,57,5,1,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+132,one_hot_encoding,minority_coalescer,0.0001745391328519669,most_frequent,robust_scaler,,,0.8057830372269097,0.24982831110057324,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.3621762718897781,fwe,f_regression,ard_regression,,,,,2.7664515192592053e-05,9.504988116581138e-07,True,6.50650698230178e-09,4.238533890074848e-07,300,78251.58542976103,0.0007301343236220855,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+136,one_hot_encoding,minority_coalescer,0.008225465238838799,most_frequent,quantile_transformer,709,uniform,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2.1305589487469477e-06,0.0002524679984945707,57.09316986719562,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+138,no_encoding,minority_coalescer,0.018981164720696175,median,minmax,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.03175182874113965,0.00030344963288406407,64164.586360277535,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+140,no_encoding,no_coalescense,,median,minmax,,,,,feature_agglomeration,,,,,,,,,,,,,,euclidean,average,272,median,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mse,None,0.5120356089629183,None,0.0,1,4,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+144,one_hot_encoding,minority_coalescer,0.0033650478527174027,median,none,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,True,friedman_mse,None,0.7303174358688075,None,0.0,10,10,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+148,no_encoding,no_coalescense,,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,ard_regression,,,,,0.0005879259823371087,3.410007832100047e-07,True,1.6597956274062097e-05,9.910691609164284e-10,300,2203.910297381356,0.006471761365578467,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+150,no_encoding,no_coalescense,,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mse,None,0.9797793053686011,None,0.0,1,4,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+153,one_hot_encoding,minority_coalescer,0.00013899061331455512,mean,minmax,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.19203734614573903,fdr,f_regression,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.28764734226521,1.5934220315148466e-07,59443.23501615305,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+156,no_encoding,minority_coalescer,0.013018052591541176,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,friedman_mse,None,0.9734334465992716,None,0.0,2,9,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+158,one_hot_encoding,minority_coalescer,0.0001897686484596082,median,robust_scaler,,,0.7768342897092668,0.27222390764426924,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.00025503968621419157,1.161826998793312e-08,80.91415602800988,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+160,one_hot_encoding,no_coalescense,,mean,standardize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,False,,,,,,,,,,,,,ard_regression,,,,,0.0007518973788007592,2.1035374255689506e-10,True,1.9130145173139983e-06,6.539971988038889e-10,300,3146.7808694741443,0.0003708004149981124,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+163,no_encoding,no_coalescense,,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,True,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.283161627129086,7.245332579977274e-08,36.28453043772396,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+168,one_hot_encoding,minority_coalescer,0.001512533360913062,median,none,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.07521950921951931,fwe,f_regression,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,friedman_mse,None,0.7805550079834586,None,0.0,3,20,0.0,,,,,,,,,,,,feature_type
+171,one_hot_encoding,no_coalescense,,mean,quantile_transformer,268,uniform,,,feature_agglomeration,,,,,,,,,,,,,,euclidean,average,107,median,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.42928092501196696,1.4435895787652725e-07,8.108685026706572,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+174,one_hot_encoding,no_coalescense,,most_frequent,none,,,,,fast_ica,,,,,,,,,,deflation,exp,671,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,ard_regression,,,,,4.124442820298477e-05,1.161663644436331e-06,True,1.5236144126449076e-09,0.00046882633285888015,300,86828.75337540788,0.0010379122151177183,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+176,one_hot_encoding,minority_coalescer,0.019566163649872924,most_frequent,robust_scaler,,,0.7200608810425068,0.22968043330398744,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.18539282936320728,fwe,f_regression,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mae,None,0.9029989558220115,None,0.0,1,2,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+179,no_encoding,no_coalescense,,most_frequent,normalize,,,,,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,91.55750915031366,mutual_info,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,True,friedman_mse,None,0.24739007040418165,None,0.0,4,17,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+182,one_hot_encoding,no_coalescense,,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,valid,0.013442521728157596,0.15308825058123207,least_squares,255,None,26,6,20,loss,1e-07,0.08504769517258337,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+184,no_encoding,no_coalescense,,mean,normalize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,True,,,,,,,,,,,,,ard_regression,,,,,6.074038958967586e-05,4.934531533509717e-07,True,0.00034504048920015604,1.4861857758465898e-06,300,1995.6088649916076,0.0033943514455527686,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+186,no_encoding,minority_coalescer,0.010515112787842862,most_frequent,quantile_transformer,583,uniform,,,feature_agglomeration,,,,,,,,,,,,,,euclidean,average,5,mean,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.00015169626319121407,0.0006853872700383563,80227.86048666916,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+191,one_hot_encoding,minority_coalescer,0.039520728280417826,mean,minmax,,,,,kitchen_sinks,,,,,,,,,,,,,,,,,,,,,,,5.288249085278679,4176,,,,,,,,,,,,,,,,,,,,,,,liblinear_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,224.245634141281,False,0.009173958659191201,True,1,squared_epsilon_insensitive,1.9920161216131034e-05,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+193,no_encoding,no_coalescense,,mean,robust_scaler,,,0.7550402508982338,0.24842410508333093,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,True,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,6.238367840293606e-10,0.026111542610815466,least_squares,255,None,177,37,18,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+197,one_hot_encoding,minority_coalescer,0.009368863843266871,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.02846835702208294,1.2011941574832026e-06,67511.87095482116,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+199,no_encoding,minority_coalescer,0.44467269258042313,most_frequent,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,6.676910625638355e-09,0.052530803029130685,least_squares,255,None,31,20,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+201,one_hot_encoding,minority_coalescer,0.0022298554040543614,most_frequent,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,1.3053128884667706e-10,0.05594167483605857,least_squares,255,None,85,10,4,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+204,no_encoding,minority_coalescer,0.22734310669224594,most_frequent,robust_scaler,,,0.9761574925741068,0.2928944546265386,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.04882039966006706,fdr,f_regression,extra_trees,,,,,,,,,,,,,,,,,,,,,False,friedman_mse,None,0.9982746726091221,None,0.0,4,2,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+207,one_hot_encoding,minority_coalescer,0.010000000000000004,mean,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,True,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,6.085630700044881e-10,0.12392806728650493,least_squares,255,None,31,25,7,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+211,no_encoding,no_coalescense,,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,180.22479438529933,,,0.0012571604901280202,0.10272820821863678,rbf,-1,False,0.02945259690926852,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+214,one_hot_encoding,no_coalescense,,most_frequent,standardize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,True,,,,,,,,,,,,,sgd,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.00038839431353936653,False,,0.0007930509929393179,True,0.61724426807128,constant,squared_loss,elasticnet,,1.285973891441802e-05,feature_type
+217,one_hot_encoding,minority_coalescer,0.00013426375251483367,mean,quantile_transformer,1000,normal,,,extra_trees_preproc_for_regression,False,mae,None,0.9485456391530016,None,2,11,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,mae,None,1.0,None,0.0,1,5,0.0,,,,,,,,,,,,feature_type
+221,one_hot_encoding,minority_coalescer,0.009016977995123954,most_frequent,standardize,,,,,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,94.50207398648911,f_regression,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,False,mse,None,0.18485496201511814,None,0.0,18,18,0.0,,,,,,,,,,,,feature_type
+224,one_hot_encoding,no_coalescense,,median,quantile_transformer,1016,uniform,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.3992671482410072,fpr,f_regression,extra_trees,,,,,,,,,,,,,,,,,,,,,True,mse,None,0.2477939208870194,None,0.0,2,4,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+225,one_hot_encoding,minority_coalescer,0.010356286469647443,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,mlp,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,relu,6.108449182457731e-05,auto,0.9,0.999,valid,1e-08,3,0.00027704755935258253,32,101,True,adam,0.0001,0.1,,,,,,,,,,,,,,,,,,,,,feature_type
+228,no_encoding,minority_coalescer,0.0005112414168823774,median,standardize,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.4807408968132736,fdr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,5.775517309881741e-08,0.020024969424259676,least_squares,255,None,156,85,16,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+232,no_encoding,no_coalescense,,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,False,,,,,,,,,,,,,sgd,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.0006517033225329654,False,0.012150149892783745,0.016444224834275295,True,1.7462342366289323e-09,invscaling,epsilon_insensitive,elasticnet,0.21521743568582094,0.002431731981071206,feature_type
+235,one_hot_encoding,minority_coalescer,0.010000000000000004,most_frequent,standardize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.035440248140559884,1.142436233486746e-09,2235.498740920408,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+237,no_encoding,minority_coalescer,0.007741331259480108,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.020932011717701825,7.512295484675918e-08,427.92917011793116,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+240,one_hot_encoding,minority_coalescer,0.010000000000000004,mean,standardize,,,,,extra_trees_preproc_for_regression,True,friedman_mse,None,0.969236220539822,None,1,2,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.013068012551322245,2.979079708104577e-07,50599.0613366392,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+245,one_hot_encoding,minority_coalescer,0.052483220498897844,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.017488165983844263,4.199154538507709e-05,18825.14718012417,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+247,one_hot_encoding,minority_coalescer,0.014192135928954746,median,standardize,,,,,fast_ica,,,,,,,,,,deflation,exp,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1.4272136443763257,0.2694141260648879,2,0.10000000000000006,0.05757315877344016,poly,-1,False,0.0010000000000000002,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+251,no_encoding,no_coalescense,,median,standardize,,,,,extra_trees_preproc_for_regression,True,mae,None,0.7533134853493275,None,1,4,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,0.8025720428105109,0.2759754081799624,least_squares,255,None,18,172,11,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+252,one_hot_encoding,minority_coalescer,0.0001745391328519669,most_frequent,robust_scaler,,,0.8057830372269097,0.24982831110057324,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.3621762718897781,fwe,f_regression,ard_regression,,,,,2.7664515192592053e-05,9.504988116581138e-07,True,6.50650698230178e-09,4.238533890074848e-07,300,78251.58542976103,0.0007301343236220855,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+257,one_hot_encoding,minority_coalescer,0.0216783950539192,mean,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,0.00010889929093369623,0.013461560146088193,least_squares,255,None,922,78,19,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+258,no_encoding,minority_coalescer,0.06944124485705933,median,robust_scaler,,,0.9459191670017113,0.19705568051981365,feature_agglomeration,,,,,,,,,,,,,,euclidean,ward,25,median,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,ard_regression,,,,,1.3451538602739027e-05,9.646408445137836e-08,True,2.5198380744059647e-07,3.03274213695262e-10,300,1212.6400146193068,0.0014720713972345503,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+262,no_encoding,minority_coalescer,0.0017516626568532072,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.09414230179794553,1.3692618062770113e-09,15642.37580197983,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+266,no_encoding,minority_coalescer,0.0002660105205394136,median,none,,,,,fast_ica,,,,,,,,,,deflation,logcosh,977,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,liblinear_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.1637099972824213,False,0.5342957861386396,True,1,squared_epsilon_insensitive,0.00011557548242116838,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+268,no_encoding,minority_coalescer,0.019298178366706394,mean,minmax,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,decision_tree,,,,,,,,,,,,,mae,0.2781806943014362,1.0,None,0.0,17,7,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+270,one_hot_encoding,no_coalescense,,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.037731974209709904,5.002213042554931e-07,22409.945864393645,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+274,one_hot_encoding,minority_coalescer,0.0002682359625135144,mean,quantile_transformer,1567,uniform,,,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,85.70259306141033,f_regression,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,6.536723381440492e-05,0.03940103065495631,least_squares,255,None,77,9,7,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+276,one_hot_encoding,no_coalescense,,median,minmax,,,,,pca,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.991729015298316,True,,,,,,,,,,,,,,,,adaboost,0.019011223549222432,linear,9,395,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+279,no_encoding,minority_coalescer,0.4873131661139947,mean,standardize,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.43441750135120694,fpr,f_regression,k_nearest_neighbors,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,2,distance,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+282,one_hot_encoding,minority_coalescer,0.024334629729258105,most_frequent,standardize,,,,,extra_trees_preproc_for_regression,False,mae,None,0.9280962404032027,None,1,11,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.02341626598167312,1.0753192773067984e-09,30626.12455645968,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+285,no_encoding,no_coalescense,,mean,minmax,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.2186105871515939,fdr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,0.10377482408306521,0.016255400771699312,least_squares,255,None,65,70,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
diff --git a/autosklearn/metalearning/files/mean_squared_error_regression_sparse/configurations.csv b/autosklearn/metalearning/files/mean_squared_error_regression_sparse/configurations.csv
index 52fdb0ce9f..c1fbd54024 100644
--- a/autosklearn/metalearning/files/mean_squared_error_regression_sparse/configurations.csv
+++ b/autosklearn/metalearning/files/mean_squared_error_regression_sparse/configurations.csv
@@ -1,98 +1,98 @@
-idx,data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__,data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__,data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction,data_preprocessor:feature_type:numerical_transformer:imputation:strategy,data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__,data_preprocessor:feature_type:numerical_transformer:rescaling:quantile_transformer:n_quantiles,data_preprocessor:feature_type:numerical_transformer:rescaling:quantile_transformer:output_distribution,data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_max,data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_min,feature_preprocessor:__choice__,feature_preprocessor:extra_trees_preproc_for_regression:bootstrap,feature_preprocessor:extra_trees_preproc_for_regression:criterion,feature_preprocessor:extra_trees_preproc_for_regression:max_depth,feature_preprocessor:extra_trees_preproc_for_regression:max_features,feature_preprocessor:extra_trees_preproc_for_regression:max_leaf_nodes,feature_preprocessor:extra_trees_preproc_for_regression:min_samples_leaf,feature_preprocessor:extra_trees_preproc_for_regression:min_samples_split,feature_preprocessor:extra_trees_preproc_for_regression:min_weight_fraction_leaf,feature_preprocessor:extra_trees_preproc_for_regression:n_estimators,feature_preprocessor:fast_ica:algorithm,feature_preprocessor:fast_ica:fun,feature_preprocessor:fast_ica:n_components,feature_preprocessor:fast_ica:whiten,feature_preprocessor:feature_agglomeration:affinity,feature_preprocessor:feature_agglomeration:linkage,feature_preprocessor:feature_agglomeration:n_clusters,feature_preprocessor:feature_agglomeration:pooling_func,feature_preprocessor:kernel_pca:coef0,feature_preprocessor:kernel_pca:degree,feature_preprocessor:kernel_pca:gamma,feature_preprocessor:kernel_pca:kernel,feature_preprocessor:kernel_pca:n_components,feature_preprocessor:kitchen_sinks:gamma,feature_preprocessor:kitchen_sinks:n_components,feature_preprocessor:nystroem_sampler:coef0,feature_preprocessor:nystroem_sampler:degree,feature_preprocessor:nystroem_sampler:gamma,feature_preprocessor:nystroem_sampler:kernel,feature_preprocessor:nystroem_sampler:n_components,feature_preprocessor:pca:keep_variance,feature_preprocessor:pca:whiten,feature_preprocessor:polynomial:degree,feature_preprocessor:polynomial:include_bias,feature_preprocessor:polynomial:interaction_only,feature_preprocessor:random_trees_embedding:bootstrap,feature_preprocessor:random_trees_embedding:max_depth,feature_preprocessor:random_trees_embedding:max_leaf_nodes,feature_preprocessor:random_trees_embedding:min_samples_leaf,feature_preprocessor:random_trees_embedding:min_samples_split,feature_preprocessor:random_trees_embedding:min_weight_fraction_leaf,feature_preprocessor:random_trees_embedding:n_estimators,feature_preprocessor:select_percentile_regression:percentile,feature_preprocessor:select_percentile_regression:score_func,feature_preprocessor:select_rates_regression:alpha,feature_preprocessor:select_rates_regression:mode,feature_preprocessor:select_rates_regression:score_func,regressor:__choice__,regressor:adaboost:learning_rate,regressor:adaboost:loss,regressor:adaboost:max_depth,regressor:adaboost:n_estimators,regressor:ard_regression:alpha_1,regressor:ard_regression:alpha_2,regressor:ard_regression:fit_intercept,regressor:ard_regression:lambda_1,regressor:ard_regression:lambda_2,regressor:ard_regression:n_iter,regressor:ard_regression:threshold_lambda,regressor:ard_regression:tol,regressor:decision_tree:criterion,regressor:decision_tree:max_depth_factor,regressor:decision_tree:max_features,regressor:decision_tree:max_leaf_nodes,regressor:decision_tree:min_impurity_decrease,regressor:decision_tree:min_samples_leaf,regressor:decision_tree:min_samples_split,regressor:decision_tree:min_weight_fraction_leaf,regressor:extra_trees:bootstrap,regressor:extra_trees:criterion,regressor:extra_trees:max_depth,regressor:extra_trees:max_features,regressor:extra_trees:max_leaf_nodes,regressor:extra_trees:min_impurity_decrease,regressor:extra_trees:min_samples_leaf,regressor:extra_trees:min_samples_split,regressor:extra_trees:min_weight_fraction_leaf,regressor:gaussian_process:alpha,regressor:gaussian_process:thetaL,regressor:gaussian_process:thetaU,regressor:gradient_boosting:early_stop,regressor:gradient_boosting:l2_regularization,regressor:gradient_boosting:learning_rate,regressor:gradient_boosting:loss,regressor:gradient_boosting:max_bins,regressor:gradient_boosting:max_depth,regressor:gradient_boosting:max_leaf_nodes,regressor:gradient_boosting:min_samples_leaf,regressor:gradient_boosting:n_iter_no_change,regressor:gradient_boosting:scoring,regressor:gradient_boosting:tol,regressor:gradient_boosting:validation_fraction,regressor:k_nearest_neighbors:n_neighbors,regressor:k_nearest_neighbors:p,regressor:k_nearest_neighbors:weights,regressor:liblinear_svr:C,regressor:liblinear_svr:dual,regressor:liblinear_svr:epsilon,regressor:liblinear_svr:fit_intercept,regressor:liblinear_svr:intercept_scaling,regressor:liblinear_svr:loss,regressor:liblinear_svr:tol,regressor:libsvm_svr:C,regressor:libsvm_svr:coef0,regressor:libsvm_svr:degree,regressor:libsvm_svr:epsilon,regressor:libsvm_svr:gamma,regressor:libsvm_svr:kernel,regressor:libsvm_svr:max_iter,regressor:libsvm_svr:shrinking,regressor:libsvm_svr:tol,regressor:mlp:activation,regressor:mlp:alpha,regressor:mlp:batch_size,regressor:mlp:beta_1,regressor:mlp:beta_2,regressor:mlp:early_stopping,regressor:mlp:epsilon,regressor:mlp:hidden_layer_depth,regressor:mlp:learning_rate_init,regressor:mlp:n_iter_no_change,regressor:mlp:num_nodes_per_layer,regressor:mlp:shuffle,regressor:mlp:solver,regressor:mlp:tol,regressor:mlp:validation_fraction,regressor:random_forest:bootstrap,regressor:random_forest:criterion,regressor:random_forest:max_depth,regressor:random_forest:max_features,regressor:random_forest:max_leaf_nodes,regressor:random_forest:min_impurity_decrease,regressor:random_forest:min_samples_leaf,regressor:random_forest:min_samples_split,regressor:random_forest:min_weight_fraction_leaf,regressor:sgd:alpha,regressor:sgd:average,regressor:sgd:epsilon,regressor:sgd:eta0,regressor:sgd:fit_intercept,regressor:sgd:l1_ratio,regressor:sgd:learning_rate,regressor:sgd:loss,regressor:sgd:penalty,regressor:sgd:power_t,regressor:sgd:tol,data_preprocessor:__choice__
-2,no_encoding,no_coalescense,,most_frequent,standardize,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.1,fpr,f_regression,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.019645201003537352,1.1170068633409441e-07,130.632960269528,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-6,one_hot_encoding,minority_coalescer,0.000400759453878678,mean,minmax,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.09988990258830989,fpr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,3.0002886744200357e-06,0.015673535665067875,least_squares,255,None,7,23,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-7,one_hot_encoding,no_coalescense,,most_frequent,quantile_transformer,809,uniform,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,True,,,,,,,,,,,,,sgd,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.01806079811541296,False,,0.015540128437738566,True,0.9326390049807726,constant,squared_loss,elasticnet,,0.00010576654619459039,feature_type
-10,one_hot_encoding,minority_coalescer,0.00010349207190621693,mean,quantile_transformer,229,normal,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.055967923991199715,1.8694491708470566e-10,1.8954846844548174,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-13,one_hot_encoding,no_coalescense,,mean,standardize,,,,,extra_trees_preproc_for_regression,False,mse,None,0.7631509999921062,None,2,2,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,mlp,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,relu,6.037842605388564e-07,auto,0.9,0.999,valid,1e-08,3,0.0001120732057918536,32,100,True,adam,0.0001,0.1,,,,,,,,,,,,,,,,,,,,,feature_type
-17,one_hot_encoding,minority_coalescer,0.010250361463446604,mean,minmax,,,,,fast_ica,,,,,,,,,,parallel,exp,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,194.03096694114694,,3,0.0010214279074797082,0.20113065159176252,rbf,-1,True,0.0206281932709369,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-19,one_hot_encoding,minority_coalescer,0.0013057623156653984,median,robust_scaler,,,0.7384386306109247,0.13619830011156256,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,47.935402876904554,f_regression,,,,sgd,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3.1920798638358104e-06,True,0.1,2.5662550861454332e-06,True,,invscaling,squared_epsilon_insensitive,l2,0.16443692558514034,7.823786229838958e-05,feature_type
-23,no_encoding,no_coalescense,,mean,quantile_transformer,626,uniform,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.1441108530403702,3.669712858764878e-08,63.38119089797623,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-26,no_encoding,no_coalescense,,mean,robust_scaler,,,0.7194207293244546,0.25,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,False,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,1e-10,0.04073473488071534,least_squares,255,None,22,4,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-28,no_encoding,minority_coalescer,0.00397868572473159,mean,robust_scaler,,,0.7840854273341944,0.11376189722146844,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,k_nearest_neighbors,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,20,2,distance,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-31,no_encoding,minority_coalescer,0.00014899709205673406,most_frequent,robust_scaler,,,0.8498515960462831,0.2493877412289307,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,53.074440365115905,mutual_info,,,,ard_regression,,,,,2.7664515192592053e-05,9.504988116581138e-07,True,4.184987756432487e-09,4.238533890074848e-07,300,78251.58542976103,0.0006951835906397672,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-34,one_hot_encoding,no_coalescense,,most_frequent,quantile_transformer,952,uniform,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,1.8428972335335263e-10,0.012607824914758717,least_squares,255,None,10,8,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-39,no_encoding,minority_coalescer,0.013069046428333956,mean,quantile_transformer,1389,normal,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,mse,None,0.7517792740390704,None,0.0,6,2,0.0,,,,,,,,,,,,feature_type
-40,no_encoding,minority_coalescer,0.032459358237118964,mean,quantile_transformer,245,normal,,,fast_ica,,,,,,,,,,parallel,exp,1538,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.010616529299999268,3.3168147703951036e-07,4.182958258383621,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-43,no_encoding,no_coalescense,,mean,standardize,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.034904198000955684,fdr,f_regression,liblinear_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,35.012615180923554,False,0.7326132441316412,True,1,squared_epsilon_insensitive,0.00012982617662684841,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-48,no_encoding,minority_coalescer,0.007285175031750927,most_frequent,standardize,,,,,kernel_pca,,,,,,,,,,,,,,,,,,,,0.3892888368591911,rbf,1205,,,,,,,,,,,,,,,,,,,,,,,,,liblinear_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,527.2805278622302,False,0.0023914129516101872,True,1,squared_epsilon_insensitive,3.308026672204565e-05,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-50,one_hot_encoding,minority_coalescer,0.01047631022335275,median,minmax,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,True,mse,None,0.5535883939348928,None,0.0,2,16,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-54,one_hot_encoding,minority_coalescer,0.06501698406855842,most_frequent,standardize,,,,,fast_ica,,,,,,,,,,parallel,cube,184,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.06138907077602462,2.1193402649051655e-10,10.458248457966066,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-57,one_hot_encoding,minority_coalescer,0.0010413452644415357,mean,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,False,mae,None,0.6277363920171745,None,0.0,6,15,0.0,,,,,,,,,,,,feature_type
-58,one_hot_encoding,no_coalescense,,median,standardize,,,,,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,22.538520410186127,f_regression,,,,liblinear_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.036388789196735646,False,0.0012739627397164333,True,1,squared_epsilon_insensitive,0.020180468804448126,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-63,no_encoding,no_coalescense,,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,True,mse,None,0.9615263480351033,None,0.0,1,2,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-66,no_encoding,minority_coalescer,0.00016754269505428354,median,quantile_transformer,170,uniform,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mse,None,0.6962692885049272,None,0.0,17,17,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-67,no_encoding,no_coalescense,,median,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,valid,0.0018018055158809108,0.05048450688348591,least_squares,255,None,3,1,19,loss,1e-07,0.19819612428903174,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-70,no_encoding,minority_coalescer,0.015521269213050653,mean,quantile_transformer,472,normal,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,False,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,mse,None,0.1509528252746419,None,0.0,17,2,0.0,,,,,,,,,,,,feature_type
-73,no_encoding,minority_coalescer,0.010000000000000004,mean,none,,,,,feature_agglomeration,,,,,,,,,,,,,,manhattan,average,26,max,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.051300886003085196,0.00012664987999260594,4.670733780898565,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-77,no_encoding,minority_coalescer,0.28144748021848814,mean,robust_scaler,,,0.8771493204875395,0.13693823573634356,fast_ica,,,,,,,,,,deflation,cube,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,friedman_mse,None,1.0,None,0.0,1,2,0.0,,,,,,,,,,,,feature_type
-79,no_encoding,minority_coalescer,0.042366198588653134,most_frequent,minmax,,,,,fast_ica,,,,,,,,,,deflation,logcosh,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,7277.320824640944,,2,0.0013490872095510865,0.03233188643981015,rbf,-1,True,0.0034607903098849255,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-82,no_encoding,minority_coalescer,0.05607310321489163,mean,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,28831.968873651404,0.39386733846748023,3,0.12370783564202235,0.0026233747431769617,poly,-1,True,4.714268123196739e-05,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-86,one_hot_encoding,no_coalescense,,most_frequent,standardize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,ard_regression,,,,,0.0003701926442639788,2.2118001735899097e-07,True,1.2037591637980971e-06,4.358378124977852e-09,300,1136.5286041327277,0.021944240404849075,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-89,one_hot_encoding,minority_coalescer,0.0011912229897445134,mean,standardize,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,0.005746611563553693,0.0913971028976721,least_squares,255,None,9,2,20,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-92,no_encoding,no_coalescense,,most_frequent,standardize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,True,,,,,,,,,,,,,mlp,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,tanh,0.00023501461451248853,auto,0.9,0.999,train,1e-08,1,0.00014972142082858664,32,234,True,adam,0.0001,,,,,,,,,,,,,,,,,,,,,,feature_type
-95,one_hot_encoding,minority_coalescer,0.010000000000000004,median,robust_scaler,,,0.7912621507143142,0.2637968890661204,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,5.997418027353535e-10,0.12286466971783992,least_squares,255,None,26,8,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-98,no_encoding,no_coalescense,,mean,robust_scaler,,,0.7010465420634562,0.19032833128592427,feature_agglomeration,,,,,,,,,,,,,,euclidean,ward,31,max,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,friedman_mse,None,0.7612289466695656,None,0.0,1,2,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-101,one_hot_encoding,no_coalescense,,median,robust_scaler,,,0.7548820011150241,0.02964869664953053,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,valid,3.1008789875481045e-10,0.9742767231340886,least_squares,255,None,76,8,10,loss,1e-07,0.08508571055472691,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-102,no_encoding,minority_coalescer,0.00829519231049576,mean,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,ard_regression,,,,,4.7044575285722365e-05,0.000629863807127318,True,7.584067704707025e-10,3.923255608410879e-08,300,4052.403778957396,0.009359388994186051,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-105,one_hot_encoding,no_coalescense,,median,none,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.4686252124441843,fpr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,valid,0.0038606936054114,0.020266625124044115,least_squares,255,None,458,158,18,loss,1e-07,0.27775972890692574,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-107,no_encoding,no_coalescense,,mean,robust_scaler,,,0.7727512096172742,0.22461598115758682,feature_agglomeration,,,,,,,,,,,,,,manhattan,complete,21,max,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,2.208787572338781e-05,0.036087332404571744,least_squares,255,None,64,3,18,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-110,no_encoding,minority_coalescer,0.0006869013905922761,mean,quantile_transformer,1352,normal,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.07357548990881542,fpr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,3.20414911914726e-10,0.1279702444496931,least_squares,255,None,63,19,8,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-115,no_encoding,no_coalescense,,mean,normalize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,ard_regression,,,,,0.0007694645303288904,6.907464089785431e-06,True,5.725240603355948e-06,2.2747405613470773e-05,300,58747.57814168738,5.818442213575333e-05,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-117,no_encoding,no_coalescense,,most_frequent,none,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.2031136218970144,,,0.340528001967228,,linear,-1,False,4.070347915643521e-05,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-119,no_encoding,minority_coalescer,0.0024824409953506307,most_frequent,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,True,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,friedman_mse,None,0.8276036843429629,None,0.0,5,13,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-124,one_hot_encoding,no_coalescense,,median,quantile_transformer,1779,normal,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,4.957506578736309e-07,0.05200721900508807,least_squares,255,None,4,2,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-126,no_encoding,minority_coalescer,0.010222641912650656,median,quantile_transformer,1092,uniform,,,feature_agglomeration,,,,,,,,,,,,,,euclidean,ward,59,mean,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,adaboost,0.010571278032840276,linear,10,116,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-128,one_hot_encoding,no_coalescense,,most_frequent,quantile_transformer,1040,uniform,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,1.27381234568573e-07,0.02758260805263155,least_squares,255,None,57,5,1,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-132,one_hot_encoding,minority_coalescer,0.0001745391328519669,most_frequent,robust_scaler,,,0.8057830372269097,0.24982831110057324,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.3621762718897781,fwe,f_regression,ard_regression,,,,,2.7664515192592053e-05,9.504988116581138e-07,True,6.50650698230178e-09,4.238533890074848e-07,300,78251.58542976103,0.0007301343236220855,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-136,one_hot_encoding,minority_coalescer,0.008225465238838799,most_frequent,quantile_transformer,709,uniform,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2.1305589487469477e-06,0.0002524679984945707,57.09316986719562,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-138,no_encoding,minority_coalescer,0.018981164720696175,median,minmax,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.03175182874113965,0.00030344963288406407,64164.586360277535,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-140,no_encoding,no_coalescense,,median,minmax,,,,,feature_agglomeration,,,,,,,,,,,,,,euclidean,average,272,median,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mse,None,0.5120356089629183,None,0.0,1,4,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-144,one_hot_encoding,minority_coalescer,0.0033650478527174027,median,none,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,True,friedman_mse,None,0.7303174358688075,None,0.0,10,10,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-148,no_encoding,no_coalescense,,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,ard_regression,,,,,0.0005879259823371087,3.410007832100047e-07,True,1.6597956274062097e-05,9.910691609164284e-10,300,2203.910297381356,0.006471761365578467,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-150,no_encoding,no_coalescense,,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mse,None,0.9797793053686011,None,0.0,1,4,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-153,one_hot_encoding,minority_coalescer,0.00013899061331455512,mean,minmax,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.19203734614573903,fdr,f_regression,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.28764734226521,1.5934220315148466e-07,59443.23501615305,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-156,no_encoding,minority_coalescer,0.013018052591541176,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,friedman_mse,None,0.9734334465992716,None,0.0,2,9,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-158,one_hot_encoding,minority_coalescer,0.0001897686484596082,median,robust_scaler,,,0.7768342897092668,0.27222390764426924,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.00025503968621419157,1.161826998793312e-08,80.91415602800988,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-160,one_hot_encoding,no_coalescense,,mean,standardize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,False,,,,,,,,,,,,,ard_regression,,,,,0.0007518973788007592,2.1035374255689506e-10,True,1.9130145173139983e-06,6.539971988038889e-10,300,3146.7808694741443,0.0003708004149981124,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-163,no_encoding,no_coalescense,,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,True,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.283161627129086,7.245332579977274e-08,36.28453043772396,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-168,one_hot_encoding,minority_coalescer,0.001512533360913062,median,none,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.07521950921951931,fwe,f_regression,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,friedman_mse,None,0.7805550079834586,None,0.0,3,20,0.0,,,,,,,,,,,,feature_type
-171,one_hot_encoding,no_coalescense,,mean,quantile_transformer,268,uniform,,,feature_agglomeration,,,,,,,,,,,,,,euclidean,average,107,median,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.42928092501196696,1.4435895787652725e-07,8.108685026706572,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-174,one_hot_encoding,no_coalescense,,most_frequent,none,,,,,fast_ica,,,,,,,,,,deflation,exp,671,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,ard_regression,,,,,4.124442820298477e-05,1.161663644436331e-06,True,1.5236144126449076e-09,0.00046882633285888015,300,86828.75337540788,0.0010379122151177183,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-176,one_hot_encoding,minority_coalescer,0.019566163649872924,most_frequent,robust_scaler,,,0.7200608810425068,0.22968043330398744,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.18539282936320728,fwe,f_regression,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mae,None,0.9029989558220115,None,0.0,1,2,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-179,no_encoding,no_coalescense,,most_frequent,normalize,,,,,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,91.55750915031366,mutual_info,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,True,friedman_mse,None,0.24739007040418165,None,0.0,4,17,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-182,one_hot_encoding,no_coalescense,,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,valid,0.013442521728157596,0.15308825058123207,least_squares,255,None,26,6,20,loss,1e-07,0.08504769517258337,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-184,no_encoding,no_coalescense,,mean,normalize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,True,,,,,,,,,,,,,ard_regression,,,,,6.074038958967586e-05,4.934531533509717e-07,True,0.00034504048920015604,1.4861857758465898e-06,300,1995.6088649916076,0.0033943514455527686,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-186,no_encoding,minority_coalescer,0.010515112787842862,most_frequent,quantile_transformer,583,uniform,,,feature_agglomeration,,,,,,,,,,,,,,euclidean,average,5,mean,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.00015169626319121407,0.0006853872700383563,80227.86048666916,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-191,one_hot_encoding,minority_coalescer,0.039520728280417826,mean,minmax,,,,,kitchen_sinks,,,,,,,,,,,,,,,,,,,,,,,5.288249085278679,4176,,,,,,,,,,,,,,,,,,,,,,,liblinear_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,224.245634141281,False,0.009173958659191201,True,1,squared_epsilon_insensitive,1.9920161216131034e-05,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-193,no_encoding,no_coalescense,,mean,robust_scaler,,,0.7550402508982338,0.24842410508333093,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,True,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,6.238367840293606e-10,0.026111542610815466,least_squares,255,None,177,37,18,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-197,one_hot_encoding,minority_coalescer,0.009368863843266871,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.02846835702208294,1.2011941574832026e-06,67511.87095482116,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-199,no_encoding,minority_coalescer,0.44467269258042313,most_frequent,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,6.676910625638355e-09,0.052530803029130685,least_squares,255,None,31,20,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-201,one_hot_encoding,minority_coalescer,0.0022298554040543614,most_frequent,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,1.3053128884667706e-10,0.05594167483605857,least_squares,255,None,85,10,4,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-204,no_encoding,minority_coalescer,0.22734310669224594,most_frequent,robust_scaler,,,0.9761574925741068,0.2928944546265386,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.04882039966006706,fdr,f_regression,extra_trees,,,,,,,,,,,,,,,,,,,,,False,friedman_mse,None,0.9982746726091221,None,0.0,4,2,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-207,one_hot_encoding,minority_coalescer,0.010000000000000004,mean,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,True,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,6.085630700044881e-10,0.12392806728650493,least_squares,255,None,31,25,7,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-211,no_encoding,no_coalescense,,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,180.22479438529933,,4,0.0012571604901280202,0.10272820821863678,rbf,-1,False,0.02945259690926852,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-214,one_hot_encoding,no_coalescense,,most_frequent,standardize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,True,,,,,,,,,,,,,sgd,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.00038839431353936653,False,,0.0007930509929393179,True,0.61724426807128,constant,squared_loss,elasticnet,,1.285973891441802e-05,feature_type
-217,one_hot_encoding,minority_coalescer,0.00013426375251483367,mean,quantile_transformer,1000,normal,,,extra_trees_preproc_for_regression,False,mae,None,0.9485456391530016,None,2,11,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,mae,None,1.0,None,0.0,1,5,0.0,,,,,,,,,,,,feature_type
-221,one_hot_encoding,minority_coalescer,0.009016977995123954,most_frequent,standardize,,,,,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,94.50207398648911,f_regression,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,False,mse,None,0.18485496201511814,None,0.0,18,18,0.0,,,,,,,,,,,,feature_type
-224,one_hot_encoding,no_coalescense,,median,quantile_transformer,1016,uniform,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.3992671482410072,fpr,f_regression,extra_trees,,,,,,,,,,,,,,,,,,,,,True,mse,None,0.2477939208870194,None,0.0,2,4,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-225,one_hot_encoding,minority_coalescer,0.010356286469647443,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,mlp,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,relu,6.108449182457731e-05,auto,0.9,0.999,valid,1e-08,3,0.00027704755935258253,32,101,True,adam,0.0001,0.1,,,,,,,,,,,,,,,,,,,,,feature_type
-228,no_encoding,minority_coalescer,0.0005112414168823774,median,standardize,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.4807408968132736,fdr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,5.775517309881741e-08,0.020024969424259676,least_squares,255,None,156,85,16,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-232,no_encoding,no_coalescense,,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,False,,,,,,,,,,,,,sgd,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.0006517033225329654,False,0.012150149892783745,0.016444224834275295,True,1.7462342366289323e-09,invscaling,epsilon_insensitive,elasticnet,0.21521743568582094,0.002431731981071206,feature_type
-235,one_hot_encoding,minority_coalescer,0.010000000000000004,most_frequent,standardize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.035440248140559884,1.142436233486746e-09,2235.498740920408,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-237,no_encoding,minority_coalescer,0.007741331259480108,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.020932011717701825,7.512295484675918e-08,427.92917011793116,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-240,one_hot_encoding,minority_coalescer,0.010000000000000004,mean,standardize,,,,,extra_trees_preproc_for_regression,True,friedman_mse,None,0.969236220539822,None,1,2,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.013068012551322245,2.979079708104577e-07,50599.0613366392,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-245,one_hot_encoding,minority_coalescer,0.052483220498897844,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.017488165983844263,4.199154538507709e-05,18825.14718012417,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-247,one_hot_encoding,minority_coalescer,0.014192135928954746,median,standardize,,,,,fast_ica,,,,,,,,,,deflation,exp,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1.4272136443763257,0.2694141260648879,2,0.10000000000000006,0.05757315877344016,poly,-1,False,0.0010000000000000002,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-251,no_encoding,no_coalescense,,median,standardize,,,,,extra_trees_preproc_for_regression,True,mae,None,0.7533134853493275,None,1,4,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,0.8025720428105109,0.2759754081799624,least_squares,255,None,18,172,11,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-252,one_hot_encoding,minority_coalescer,0.0001745391328519669,most_frequent,robust_scaler,,,0.8057830372269097,0.24982831110057324,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.3621762718897781,fwe,f_regression,ard_regression,,,,,2.7664515192592053e-05,9.504988116581138e-07,True,6.50650698230178e-09,4.238533890074848e-07,300,78251.58542976103,0.0007301343236220855,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-257,one_hot_encoding,minority_coalescer,0.0216783950539192,mean,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,0.00010889929093369623,0.013461560146088193,least_squares,255,None,922,78,19,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-258,no_encoding,minority_coalescer,0.06944124485705933,median,robust_scaler,,,0.9459191670017113,0.19705568051981365,feature_agglomeration,,,,,,,,,,,,,,euclidean,ward,25,median,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,ard_regression,,,,,1.3451538602739027e-05,9.646408445137836e-08,True,2.5198380744059647e-07,3.03274213695262e-10,300,1212.6400146193068,0.0014720713972345503,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-262,no_encoding,minority_coalescer,0.0017516626568532072,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.09414230179794553,1.3692618062770113e-09,15642.37580197983,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-266,no_encoding,minority_coalescer,0.0002660105205394136,median,none,,,,,fast_ica,,,,,,,,,,deflation,logcosh,977,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,liblinear_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.1637099972824213,False,0.5342957861386396,True,1,squared_epsilon_insensitive,0.00011557548242116838,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-268,no_encoding,minority_coalescer,0.019298178366706394,mean,minmax,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,decision_tree,,,,,,,,,,,,,mae,0.2781806943014362,1.0,None,0.0,17,7,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-270,one_hot_encoding,no_coalescense,,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.037731974209709904,5.002213042554931e-07,22409.945864393645,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-274,one_hot_encoding,minority_coalescer,0.0002682359625135144,mean,quantile_transformer,1567,uniform,,,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,85.70259306141033,f_regression,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,6.536723381440492e-05,0.03940103065495631,least_squares,255,None,77,9,7,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-276,one_hot_encoding,no_coalescense,,median,minmax,,,,,pca,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.991729015298316,True,,,,,,,,,,,,,,,,adaboost,0.019011223549222432,linear,9,395,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-279,no_encoding,minority_coalescer,0.4873131661139947,mean,standardize,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.43441750135120694,fpr,f_regression,k_nearest_neighbors,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,2,distance,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-282,one_hot_encoding,minority_coalescer,0.024334629729258105,most_frequent,standardize,,,,,extra_trees_preproc_for_regression,False,mae,None,0.9280962404032027,None,1,11,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.02341626598167312,1.0753192773067984e-09,30626.12455645968,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-285,no_encoding,no_coalescense,,mean,minmax,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.2186105871515939,fdr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,0.10377482408306521,0.016255400771699312,least_squares,255,None,65,70,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+idx,data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__,data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__,data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction,data_preprocessor:feature_type:numerical_transformer:imputation:strategy,data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__,data_preprocessor:feature_type:numerical_transformer:rescaling:quantile_transformer:n_quantiles,data_preprocessor:feature_type:numerical_transformer:rescaling:quantile_transformer:output_distribution,data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_max,data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_min,feature_preprocessor:__choice__,feature_preprocessor:extra_trees_preproc_for_regression:bootstrap,feature_preprocessor:extra_trees_preproc_for_regression:criterion,feature_preprocessor:extra_trees_preproc_for_regression:max_depth,feature_preprocessor:extra_trees_preproc_for_regression:max_features,feature_preprocessor:extra_trees_preproc_for_regression:max_leaf_nodes,feature_preprocessor:extra_trees_preproc_for_regression:min_samples_leaf,feature_preprocessor:extra_trees_preproc_for_regression:min_samples_split,feature_preprocessor:extra_trees_preproc_for_regression:min_weight_fraction_leaf,feature_preprocessor:extra_trees_preproc_for_regression:n_estimators,feature_preprocessor:fast_ica:algorithm,feature_preprocessor:fast_ica:fun,feature_preprocessor:fast_ica:n_components,feature_preprocessor:fast_ica:whiten,feature_preprocessor:feature_agglomeration:affinity,feature_preprocessor:feature_agglomeration:linkage,feature_preprocessor:feature_agglomeration:n_clusters,feature_preprocessor:feature_agglomeration:pooling_func,feature_preprocessor:kernel_pca:coef0,feature_preprocessor:kernel_pca:degree,feature_preprocessor:kernel_pca:gamma,feature_preprocessor:kernel_pca:kernel,feature_preprocessor:kernel_pca:n_components,feature_preprocessor:kitchen_sinks:gamma,feature_preprocessor:kitchen_sinks:n_components,feature_preprocessor:nystroem_sampler:coef0,feature_preprocessor:nystroem_sampler:degree,feature_preprocessor:nystroem_sampler:gamma,feature_preprocessor:nystroem_sampler:kernel,feature_preprocessor:nystroem_sampler:n_components,feature_preprocessor:pca:keep_variance,feature_preprocessor:pca:whiten,feature_preprocessor:polynomial:degree,feature_preprocessor:polynomial:include_bias,feature_preprocessor:polynomial:interaction_only,feature_preprocessor:random_trees_embedding:bootstrap,feature_preprocessor:random_trees_embedding:max_depth,feature_preprocessor:random_trees_embedding:max_leaf_nodes,feature_preprocessor:random_trees_embedding:min_samples_leaf,feature_preprocessor:random_trees_embedding:min_samples_split,feature_preprocessor:random_trees_embedding:min_weight_fraction_leaf,feature_preprocessor:random_trees_embedding:n_estimators,feature_preprocessor:select_percentile_regression:percentile,feature_preprocessor:select_percentile_regression:score_func,feature_preprocessor:select_rates_regression:alpha,feature_preprocessor:select_rates_regression:mode,feature_preprocessor:select_rates_regression:score_func,regressor:__choice__,regressor:adaboost:learning_rate,regressor:adaboost:loss,regressor:adaboost:max_depth,regressor:adaboost:n_estimators,regressor:ard_regression:alpha_1,regressor:ard_regression:alpha_2,regressor:ard_regression:fit_intercept,regressor:ard_regression:lambda_1,regressor:ard_regression:lambda_2,regressor:ard_regression:n_iter,regressor:ard_regression:threshold_lambda,regressor:ard_regression:tol,regressor:decision_tree:criterion,regressor:decision_tree:max_depth_factor,regressor:decision_tree:max_features,regressor:decision_tree:max_leaf_nodes,regressor:decision_tree:min_impurity_decrease,regressor:decision_tree:min_samples_leaf,regressor:decision_tree:min_samples_split,regressor:decision_tree:min_weight_fraction_leaf,regressor:extra_trees:bootstrap,regressor:extra_trees:criterion,regressor:extra_trees:max_depth,regressor:extra_trees:max_features,regressor:extra_trees:max_leaf_nodes,regressor:extra_trees:min_impurity_decrease,regressor:extra_trees:min_samples_leaf,regressor:extra_trees:min_samples_split,regressor:extra_trees:min_weight_fraction_leaf,regressor:gaussian_process:alpha,regressor:gaussian_process:thetaL,regressor:gaussian_process:thetaU,regressor:gradient_boosting:early_stop,regressor:gradient_boosting:l2_regularization,regressor:gradient_boosting:learning_rate,regressor:gradient_boosting:loss,regressor:gradient_boosting:max_bins,regressor:gradient_boosting:max_depth,regressor:gradient_boosting:max_leaf_nodes,regressor:gradient_boosting:min_samples_leaf,regressor:gradient_boosting:n_iter_no_change,regressor:gradient_boosting:scoring,regressor:gradient_boosting:tol,regressor:gradient_boosting:validation_fraction,regressor:k_nearest_neighbors:n_neighbors,regressor:k_nearest_neighbors:p,regressor:k_nearest_neighbors:weights,regressor:liblinear_svr:C,regressor:liblinear_svr:dual,regressor:liblinear_svr:epsilon,regressor:liblinear_svr:fit_intercept,regressor:liblinear_svr:intercept_scaling,regressor:liblinear_svr:loss,regressor:liblinear_svr:tol,regressor:libsvm_svr:C,regressor:libsvm_svr:coef0,regressor:libsvm_svr:degree,regressor:libsvm_svr:epsilon,regressor:libsvm_svr:gamma,regressor:libsvm_svr:kernel,regressor:libsvm_svr:max_iter,regressor:libsvm_svr:shrinking,regressor:libsvm_svr:tol,regressor:mlp:activation,regressor:mlp:alpha,regressor:mlp:batch_size,regressor:mlp:beta_1,regressor:mlp:beta_2,regressor:mlp:early_stopping,regressor:mlp:epsilon,regressor:mlp:hidden_layer_depth,regressor:mlp:learning_rate_init,regressor:mlp:n_iter_no_change,regressor:mlp:num_nodes_per_layer,regressor:mlp:shuffle,regressor:mlp:solver,regressor:mlp:tol,regressor:mlp:validation_fraction,regressor:random_forest:bootstrap,regressor:random_forest:criterion,regressor:random_forest:max_depth,regressor:random_forest:max_features,regressor:random_forest:max_leaf_nodes,regressor:random_forest:min_impurity_decrease,regressor:random_forest:min_samples_leaf,regressor:random_forest:min_samples_split,regressor:random_forest:min_weight_fraction_leaf,regressor:sgd:alpha,regressor:sgd:average,regressor:sgd:epsilon,regressor:sgd:eta0,regressor:sgd:fit_intercept,regressor:sgd:l1_ratio,regressor:sgd:learning_rate,regressor:sgd:loss,regressor:sgd:penalty,regressor:sgd:power_t,regressor:sgd:tol,data_preprocessor:__choice__
+2,no_encoding,no_coalescense,,most_frequent,standardize,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.1,fpr,f_regression,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.019645201003537352,1.1170068633409441e-07,130.632960269528,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+6,one_hot_encoding,minority_coalescer,0.000400759453878678,mean,minmax,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.09988990258830989,fpr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,3.0002886744200357e-06,0.015673535665067875,least_squares,255,None,7,23,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+7,one_hot_encoding,no_coalescense,,most_frequent,quantile_transformer,809,uniform,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,True,,,,,,,,,,,,,sgd,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.01806079811541296,False,,0.015540128437738566,True,0.9326390049807726,constant,squared_loss,elasticnet,,0.00010576654619459039,feature_type
+10,one_hot_encoding,minority_coalescer,0.00010349207190621693,mean,quantile_transformer,229,normal,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.055967923991199715,1.8694491708470566e-10,1.8954846844548174,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+13,one_hot_encoding,no_coalescense,,mean,standardize,,,,,extra_trees_preproc_for_regression,False,mse,None,0.7631509999921062,None,2,2,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,mlp,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,relu,6.037842605388564e-07,auto,0.9,0.999,valid,1e-08,3,0.0001120732057918536,32,100,True,adam,0.0001,0.1,,,,,,,,,,,,,,,,,,,,,feature_type
+17,one_hot_encoding,minority_coalescer,0.010250361463446604,mean,minmax,,,,,fast_ica,,,,,,,,,,parallel,exp,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,194.03096694114694,,,0.0010214279074797082,0.20113065159176252,rbf,-1,True,0.0206281932709369,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+19,one_hot_encoding,minority_coalescer,0.0013057623156653984,median,robust_scaler,,,0.7384386306109247,0.13619830011156256,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,47.935402876904554,f_regression,,,,sgd,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3.1920798638358104e-06,True,0.1,2.5662550861454332e-06,True,,invscaling,squared_epsilon_insensitive,l2,0.16443692558514034,7.823786229838958e-05,feature_type
+23,no_encoding,no_coalescense,,mean,quantile_transformer,626,uniform,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.1441108530403702,3.669712858764878e-08,63.38119089797623,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+26,no_encoding,no_coalescense,,mean,robust_scaler,,,0.7194207293244546,0.25,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,False,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,1e-10,0.04073473488071534,least_squares,255,None,22,4,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+28,no_encoding,minority_coalescer,0.00397868572473159,mean,robust_scaler,,,0.7840854273341944,0.11376189722146844,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,k_nearest_neighbors,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,20,2,distance,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+31,no_encoding,minority_coalescer,0.00014899709205673406,most_frequent,robust_scaler,,,0.8498515960462831,0.2493877412289307,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,53.074440365115905,mutual_info,,,,ard_regression,,,,,2.7664515192592053e-05,9.504988116581138e-07,True,4.184987756432487e-09,4.238533890074848e-07,300,78251.58542976103,0.0006951835906397672,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+34,one_hot_encoding,no_coalescense,,most_frequent,quantile_transformer,952,uniform,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,1.8428972335335263e-10,0.012607824914758717,least_squares,255,None,10,8,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+39,no_encoding,minority_coalescer,0.013069046428333956,mean,quantile_transformer,1389,normal,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,mse,None,0.7517792740390704,None,0.0,6,2,0.0,,,,,,,,,,,,feature_type
+40,no_encoding,minority_coalescer,0.032459358237118964,mean,quantile_transformer,245,normal,,,fast_ica,,,,,,,,,,parallel,exp,1538,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.010616529299999268,3.3168147703951036e-07,4.182958258383621,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+43,no_encoding,no_coalescense,,mean,standardize,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.034904198000955684,fdr,f_regression,liblinear_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,35.012615180923554,False,0.7326132441316412,True,1,squared_epsilon_insensitive,0.00012982617662684841,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+48,no_encoding,minority_coalescer,0.007285175031750927,most_frequent,standardize,,,,,kernel_pca,,,,,,,,,,,,,,,,,,,,0.3892888368591911,rbf,1205,,,,,,,,,,,,,,,,,,,,,,,,,liblinear_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,527.2805278622302,False,0.0023914129516101872,True,1,squared_epsilon_insensitive,3.308026672204565e-05,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+50,one_hot_encoding,minority_coalescer,0.01047631022335275,median,minmax,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,True,mse,None,0.5535883939348928,None,0.0,2,16,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+54,one_hot_encoding,minority_coalescer,0.06501698406855842,most_frequent,standardize,,,,,fast_ica,,,,,,,,,,parallel,cube,184,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.06138907077602462,2.1193402649051655e-10,10.458248457966066,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+57,one_hot_encoding,minority_coalescer,0.0010413452644415357,mean,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,False,mae,None,0.6277363920171745,None,0.0,6,15,0.0,,,,,,,,,,,,feature_type
+58,one_hot_encoding,no_coalescense,,median,standardize,,,,,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,22.538520410186127,f_regression,,,,liblinear_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.036388789196735646,False,0.0012739627397164333,True,1,squared_epsilon_insensitive,0.020180468804448126,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+63,no_encoding,no_coalescense,,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,True,mse,None,0.9615263480351033,None,0.0,1,2,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+66,no_encoding,minority_coalescer,0.00016754269505428354,median,quantile_transformer,170,uniform,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mse,None,0.6962692885049272,None,0.0,17,17,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+67,no_encoding,no_coalescense,,median,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,valid,0.0018018055158809108,0.05048450688348591,least_squares,255,None,3,1,19,loss,1e-07,0.19819612428903174,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+70,no_encoding,minority_coalescer,0.015521269213050653,mean,quantile_transformer,472,normal,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,False,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,mse,None,0.1509528252746419,None,0.0,17,2,0.0,,,,,,,,,,,,feature_type
+73,no_encoding,minority_coalescer,0.010000000000000004,mean,none,,,,,feature_agglomeration,,,,,,,,,,,,,,manhattan,average,26,max,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.051300886003085196,0.00012664987999260594,4.670733780898565,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+77,no_encoding,minority_coalescer,0.28144748021848814,mean,robust_scaler,,,0.8771493204875395,0.13693823573634356,fast_ica,,,,,,,,,,deflation,cube,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,friedman_mse,None,1.0,None,0.0,1,2,0.0,,,,,,,,,,,,feature_type
+79,no_encoding,minority_coalescer,0.042366198588653134,most_frequent,minmax,,,,,fast_ica,,,,,,,,,,deflation,logcosh,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,7277.320824640944,,,0.0013490872095510865,0.03233188643981015,rbf,-1,True,0.0034607903098849255,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+82,no_encoding,minority_coalescer,0.05607310321489163,mean,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,28831.968873651404,0.39386733846748023,3,0.12370783564202235,0.0026233747431769617,poly,-1,True,4.714268123196739e-05,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+86,one_hot_encoding,no_coalescense,,most_frequent,standardize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,ard_regression,,,,,0.0003701926442639788,2.2118001735899097e-07,True,1.2037591637980971e-06,4.358378124977852e-09,300,1136.5286041327277,0.021944240404849075,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+89,one_hot_encoding,minority_coalescer,0.0011912229897445134,mean,standardize,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,0.005746611563553693,0.0913971028976721,least_squares,255,None,9,2,20,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+92,no_encoding,no_coalescense,,most_frequent,standardize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,True,,,,,,,,,,,,,mlp,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,tanh,0.00023501461451248853,auto,0.9,0.999,train,1e-08,1,0.00014972142082858664,32,234,True,adam,0.0001,,,,,,,,,,,,,,,,,,,,,,feature_type
+95,one_hot_encoding,minority_coalescer,0.010000000000000004,median,robust_scaler,,,0.7912621507143142,0.2637968890661204,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,5.997418027353535e-10,0.12286466971783992,least_squares,255,None,26,8,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+98,no_encoding,no_coalescense,,mean,robust_scaler,,,0.7010465420634562,0.19032833128592427,feature_agglomeration,,,,,,,,,,,,,,euclidean,ward,31,max,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,friedman_mse,None,0.7612289466695656,None,0.0,1,2,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+101,one_hot_encoding,no_coalescense,,median,robust_scaler,,,0.7548820011150241,0.02964869664953053,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,valid,3.1008789875481045e-10,0.9742767231340886,least_squares,255,None,76,8,10,loss,1e-07,0.08508571055472691,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+102,no_encoding,minority_coalescer,0.00829519231049576,mean,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,ard_regression,,,,,4.7044575285722365e-05,0.000629863807127318,True,7.584067704707025e-10,3.923255608410879e-08,300,4052.403778957396,0.009359388994186051,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+105,one_hot_encoding,no_coalescense,,median,none,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.4686252124441843,fpr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,valid,0.0038606936054114,0.020266625124044115,least_squares,255,None,458,158,18,loss,1e-07,0.27775972890692574,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+107,no_encoding,no_coalescense,,mean,robust_scaler,,,0.7727512096172742,0.22461598115758682,feature_agglomeration,,,,,,,,,,,,,,manhattan,complete,21,max,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,2.208787572338781e-05,0.036087332404571744,least_squares,255,None,64,3,18,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+110,no_encoding,minority_coalescer,0.0006869013905922761,mean,quantile_transformer,1352,normal,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.07357548990881542,fpr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,3.20414911914726e-10,0.1279702444496931,least_squares,255,None,63,19,8,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+115,no_encoding,no_coalescense,,mean,normalize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,ard_regression,,,,,0.0007694645303288904,6.907464089785431e-06,True,5.725240603355948e-06,2.2747405613470773e-05,300,58747.57814168738,5.818442213575333e-05,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+117,no_encoding,no_coalescense,,most_frequent,none,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.2031136218970144,,,0.340528001967228,,linear,-1,False,4.070347915643521e-05,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+119,no_encoding,minority_coalescer,0.0024824409953506307,most_frequent,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,True,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,friedman_mse,None,0.8276036843429629,None,0.0,5,13,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+124,one_hot_encoding,no_coalescense,,median,quantile_transformer,1779,normal,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,4.957506578736309e-07,0.05200721900508807,least_squares,255,None,4,2,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+126,no_encoding,minority_coalescer,0.010222641912650656,median,quantile_transformer,1092,uniform,,,feature_agglomeration,,,,,,,,,,,,,,euclidean,ward,59,mean,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,adaboost,0.010571278032840276,linear,10,116,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+128,one_hot_encoding,no_coalescense,,most_frequent,quantile_transformer,1040,uniform,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,1.27381234568573e-07,0.02758260805263155,least_squares,255,None,57,5,1,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+132,one_hot_encoding,minority_coalescer,0.0001745391328519669,most_frequent,robust_scaler,,,0.8057830372269097,0.24982831110057324,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.3621762718897781,fwe,f_regression,ard_regression,,,,,2.7664515192592053e-05,9.504988116581138e-07,True,6.50650698230178e-09,4.238533890074848e-07,300,78251.58542976103,0.0007301343236220855,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+136,one_hot_encoding,minority_coalescer,0.008225465238838799,most_frequent,quantile_transformer,709,uniform,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2.1305589487469477e-06,0.0002524679984945707,57.09316986719562,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+138,no_encoding,minority_coalescer,0.018981164720696175,median,minmax,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.03175182874113965,0.00030344963288406407,64164.586360277535,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+140,no_encoding,no_coalescense,,median,minmax,,,,,feature_agglomeration,,,,,,,,,,,,,,euclidean,average,272,median,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mse,None,0.5120356089629183,None,0.0,1,4,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+144,one_hot_encoding,minority_coalescer,0.0033650478527174027,median,none,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,True,friedman_mse,None,0.7303174358688075,None,0.0,10,10,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+148,no_encoding,no_coalescense,,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,ard_regression,,,,,0.0005879259823371087,3.410007832100047e-07,True,1.6597956274062097e-05,9.910691609164284e-10,300,2203.910297381356,0.006471761365578467,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+150,no_encoding,no_coalescense,,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mse,None,0.9797793053686011,None,0.0,1,4,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+153,one_hot_encoding,minority_coalescer,0.00013899061331455512,mean,minmax,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.19203734614573903,fdr,f_regression,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.28764734226521,1.5934220315148466e-07,59443.23501615305,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+156,no_encoding,minority_coalescer,0.013018052591541176,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,friedman_mse,None,0.9734334465992716,None,0.0,2,9,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+158,one_hot_encoding,minority_coalescer,0.0001897686484596082,median,robust_scaler,,,0.7768342897092668,0.27222390764426924,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.00025503968621419157,1.161826998793312e-08,80.91415602800988,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+160,one_hot_encoding,no_coalescense,,mean,standardize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,False,,,,,,,,,,,,,ard_regression,,,,,0.0007518973788007592,2.1035374255689506e-10,True,1.9130145173139983e-06,6.539971988038889e-10,300,3146.7808694741443,0.0003708004149981124,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+163,no_encoding,no_coalescense,,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,True,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.283161627129086,7.245332579977274e-08,36.28453043772396,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+168,one_hot_encoding,minority_coalescer,0.001512533360913062,median,none,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.07521950921951931,fwe,f_regression,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,friedman_mse,None,0.7805550079834586,None,0.0,3,20,0.0,,,,,,,,,,,,feature_type
+171,one_hot_encoding,no_coalescense,,mean,quantile_transformer,268,uniform,,,feature_agglomeration,,,,,,,,,,,,,,euclidean,average,107,median,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.42928092501196696,1.4435895787652725e-07,8.108685026706572,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+174,one_hot_encoding,no_coalescense,,most_frequent,none,,,,,fast_ica,,,,,,,,,,deflation,exp,671,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,ard_regression,,,,,4.124442820298477e-05,1.161663644436331e-06,True,1.5236144126449076e-09,0.00046882633285888015,300,86828.75337540788,0.0010379122151177183,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+176,one_hot_encoding,minority_coalescer,0.019566163649872924,most_frequent,robust_scaler,,,0.7200608810425068,0.22968043330398744,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.18539282936320728,fwe,f_regression,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mae,None,0.9029989558220115,None,0.0,1,2,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+179,no_encoding,no_coalescense,,most_frequent,normalize,,,,,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,91.55750915031366,mutual_info,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,True,friedman_mse,None,0.24739007040418165,None,0.0,4,17,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+182,one_hot_encoding,no_coalescense,,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,valid,0.013442521728157596,0.15308825058123207,least_squares,255,None,26,6,20,loss,1e-07,0.08504769517258337,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+184,no_encoding,no_coalescense,,mean,normalize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,True,,,,,,,,,,,,,ard_regression,,,,,6.074038958967586e-05,4.934531533509717e-07,True,0.00034504048920015604,1.4861857758465898e-06,300,1995.6088649916076,0.0033943514455527686,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+186,no_encoding,minority_coalescer,0.010515112787842862,most_frequent,quantile_transformer,583,uniform,,,feature_agglomeration,,,,,,,,,,,,,,euclidean,average,5,mean,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.00015169626319121407,0.0006853872700383563,80227.86048666916,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+191,one_hot_encoding,minority_coalescer,0.039520728280417826,mean,minmax,,,,,kitchen_sinks,,,,,,,,,,,,,,,,,,,,,,,5.288249085278679,4176,,,,,,,,,,,,,,,,,,,,,,,liblinear_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,224.245634141281,False,0.009173958659191201,True,1,squared_epsilon_insensitive,1.9920161216131034e-05,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+193,no_encoding,no_coalescense,,mean,robust_scaler,,,0.7550402508982338,0.24842410508333093,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,True,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,6.238367840293606e-10,0.026111542610815466,least_squares,255,None,177,37,18,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+197,one_hot_encoding,minority_coalescer,0.009368863843266871,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.02846835702208294,1.2011941574832026e-06,67511.87095482116,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+199,no_encoding,minority_coalescer,0.44467269258042313,most_frequent,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,6.676910625638355e-09,0.052530803029130685,least_squares,255,None,31,20,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+201,one_hot_encoding,minority_coalescer,0.0022298554040543614,most_frequent,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,1.3053128884667706e-10,0.05594167483605857,least_squares,255,None,85,10,4,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+204,no_encoding,minority_coalescer,0.22734310669224594,most_frequent,robust_scaler,,,0.9761574925741068,0.2928944546265386,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.04882039966006706,fdr,f_regression,extra_trees,,,,,,,,,,,,,,,,,,,,,False,friedman_mse,None,0.9982746726091221,None,0.0,4,2,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+207,one_hot_encoding,minority_coalescer,0.010000000000000004,mean,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,True,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,6.085630700044881e-10,0.12392806728650493,least_squares,255,None,31,25,7,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+211,no_encoding,no_coalescense,,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,180.22479438529933,,,0.0012571604901280202,0.10272820821863678,rbf,-1,False,0.02945259690926852,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+214,one_hot_encoding,no_coalescense,,most_frequent,standardize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,True,,,,,,,,,,,,,sgd,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.00038839431353936653,False,,0.0007930509929393179,True,0.61724426807128,constant,squared_loss,elasticnet,,1.285973891441802e-05,feature_type
+217,one_hot_encoding,minority_coalescer,0.00013426375251483367,mean,quantile_transformer,1000,normal,,,extra_trees_preproc_for_regression,False,mae,None,0.9485456391530016,None,2,11,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,mae,None,1.0,None,0.0,1,5,0.0,,,,,,,,,,,,feature_type
+221,one_hot_encoding,minority_coalescer,0.009016977995123954,most_frequent,standardize,,,,,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,94.50207398648911,f_regression,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,False,mse,None,0.18485496201511814,None,0.0,18,18,0.0,,,,,,,,,,,,feature_type
+224,one_hot_encoding,no_coalescense,,median,quantile_transformer,1016,uniform,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.3992671482410072,fpr,f_regression,extra_trees,,,,,,,,,,,,,,,,,,,,,True,mse,None,0.2477939208870194,None,0.0,2,4,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+225,one_hot_encoding,minority_coalescer,0.010356286469647443,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,mlp,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,relu,6.108449182457731e-05,auto,0.9,0.999,valid,1e-08,3,0.00027704755935258253,32,101,True,adam,0.0001,0.1,,,,,,,,,,,,,,,,,,,,,feature_type
+228,no_encoding,minority_coalescer,0.0005112414168823774,median,standardize,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.4807408968132736,fdr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,5.775517309881741e-08,0.020024969424259676,least_squares,255,None,156,85,16,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+232,no_encoding,no_coalescense,,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,False,,,,,,,,,,,,,sgd,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.0006517033225329654,False,0.012150149892783745,0.016444224834275295,True,1.7462342366289323e-09,invscaling,epsilon_insensitive,elasticnet,0.21521743568582094,0.002431731981071206,feature_type
+235,one_hot_encoding,minority_coalescer,0.010000000000000004,most_frequent,standardize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.035440248140559884,1.142436233486746e-09,2235.498740920408,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+237,no_encoding,minority_coalescer,0.007741331259480108,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.020932011717701825,7.512295484675918e-08,427.92917011793116,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+240,one_hot_encoding,minority_coalescer,0.010000000000000004,mean,standardize,,,,,extra_trees_preproc_for_regression,True,friedman_mse,None,0.969236220539822,None,1,2,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.013068012551322245,2.979079708104577e-07,50599.0613366392,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+245,one_hot_encoding,minority_coalescer,0.052483220498897844,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.017488165983844263,4.199154538507709e-05,18825.14718012417,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+247,one_hot_encoding,minority_coalescer,0.014192135928954746,median,standardize,,,,,fast_ica,,,,,,,,,,deflation,exp,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1.4272136443763257,0.2694141260648879,2,0.10000000000000006,0.05757315877344016,poly,-1,False,0.0010000000000000002,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+251,no_encoding,no_coalescense,,median,standardize,,,,,extra_trees_preproc_for_regression,True,mae,None,0.7533134853493275,None,1,4,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,0.8025720428105109,0.2759754081799624,least_squares,255,None,18,172,11,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+252,one_hot_encoding,minority_coalescer,0.0001745391328519669,most_frequent,robust_scaler,,,0.8057830372269097,0.24982831110057324,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.3621762718897781,fwe,f_regression,ard_regression,,,,,2.7664515192592053e-05,9.504988116581138e-07,True,6.50650698230178e-09,4.238533890074848e-07,300,78251.58542976103,0.0007301343236220855,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+257,one_hot_encoding,minority_coalescer,0.0216783950539192,mean,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,0.00010889929093369623,0.013461560146088193,least_squares,255,None,922,78,19,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+258,no_encoding,minority_coalescer,0.06944124485705933,median,robust_scaler,,,0.9459191670017113,0.19705568051981365,feature_agglomeration,,,,,,,,,,,,,,euclidean,ward,25,median,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,ard_regression,,,,,1.3451538602739027e-05,9.646408445137836e-08,True,2.5198380744059647e-07,3.03274213695262e-10,300,1212.6400146193068,0.0014720713972345503,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+262,no_encoding,minority_coalescer,0.0017516626568532072,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.09414230179794553,1.3692618062770113e-09,15642.37580197983,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+266,no_encoding,minority_coalescer,0.0002660105205394136,median,none,,,,,fast_ica,,,,,,,,,,deflation,logcosh,977,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,liblinear_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.1637099972824213,False,0.5342957861386396,True,1,squared_epsilon_insensitive,0.00011557548242116838,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+268,no_encoding,minority_coalescer,0.019298178366706394,mean,minmax,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,decision_tree,,,,,,,,,,,,,mae,0.2781806943014362,1.0,None,0.0,17,7,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+270,one_hot_encoding,no_coalescense,,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.037731974209709904,5.002213042554931e-07,22409.945864393645,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+274,one_hot_encoding,minority_coalescer,0.0002682359625135144,mean,quantile_transformer,1567,uniform,,,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,85.70259306141033,f_regression,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,6.536723381440492e-05,0.03940103065495631,least_squares,255,None,77,9,7,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+276,one_hot_encoding,no_coalescense,,median,minmax,,,,,pca,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.991729015298316,True,,,,,,,,,,,,,,,,adaboost,0.019011223549222432,linear,9,395,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+279,no_encoding,minority_coalescer,0.4873131661139947,mean,standardize,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.43441750135120694,fpr,f_regression,k_nearest_neighbors,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,2,distance,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+282,one_hot_encoding,minority_coalescer,0.024334629729258105,most_frequent,standardize,,,,,extra_trees_preproc_for_regression,False,mae,None,0.9280962404032027,None,1,11,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.02341626598167312,1.0753192773067984e-09,30626.12455645968,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+285,no_encoding,no_coalescense,,mean,minmax,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.2186105871515939,fdr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,0.10377482408306521,0.016255400771699312,least_squares,255,None,65,70,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
diff --git a/autosklearn/metalearning/files/mean_squared_log_error_regression_dense/configurations.csv b/autosklearn/metalearning/files/mean_squared_log_error_regression_dense/configurations.csv
index d1a42e8ce7..3e3ac77027 100644
--- a/autosklearn/metalearning/files/mean_squared_log_error_regression_dense/configurations.csv
+++ b/autosklearn/metalearning/files/mean_squared_log_error_regression_dense/configurations.csv
@@ -1,98 +1,98 @@
-idx,data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__,data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__,data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction,data_preprocessor:feature_type:numerical_transformer:imputation:strategy,data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__,data_preprocessor:feature_type:numerical_transformer:rescaling:quantile_transformer:n_quantiles,data_preprocessor:feature_type:numerical_transformer:rescaling:quantile_transformer:output_distribution,data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_max,data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_min,feature_preprocessor:__choice__,feature_preprocessor:extra_trees_preproc_for_regression:bootstrap,feature_preprocessor:extra_trees_preproc_for_regression:criterion,feature_preprocessor:extra_trees_preproc_for_regression:max_depth,feature_preprocessor:extra_trees_preproc_for_regression:max_features,feature_preprocessor:extra_trees_preproc_for_regression:max_leaf_nodes,feature_preprocessor:extra_trees_preproc_for_regression:min_samples_leaf,feature_preprocessor:extra_trees_preproc_for_regression:min_samples_split,feature_preprocessor:extra_trees_preproc_for_regression:min_weight_fraction_leaf,feature_preprocessor:extra_trees_preproc_for_regression:n_estimators,feature_preprocessor:fast_ica:algorithm,feature_preprocessor:fast_ica:fun,feature_preprocessor:fast_ica:n_components,feature_preprocessor:fast_ica:whiten,feature_preprocessor:feature_agglomeration:affinity,feature_preprocessor:feature_agglomeration:linkage,feature_preprocessor:feature_agglomeration:n_clusters,feature_preprocessor:feature_agglomeration:pooling_func,feature_preprocessor:kernel_pca:coef0,feature_preprocessor:kernel_pca:degree,feature_preprocessor:kernel_pca:gamma,feature_preprocessor:kernel_pca:kernel,feature_preprocessor:kernel_pca:n_components,feature_preprocessor:kitchen_sinks:gamma,feature_preprocessor:kitchen_sinks:n_components,feature_preprocessor:nystroem_sampler:coef0,feature_preprocessor:nystroem_sampler:degree,feature_preprocessor:nystroem_sampler:gamma,feature_preprocessor:nystroem_sampler:kernel,feature_preprocessor:nystroem_sampler:n_components,feature_preprocessor:pca:keep_variance,feature_preprocessor:pca:whiten,feature_preprocessor:polynomial:degree,feature_preprocessor:polynomial:include_bias,feature_preprocessor:polynomial:interaction_only,feature_preprocessor:random_trees_embedding:bootstrap,feature_preprocessor:random_trees_embedding:max_depth,feature_preprocessor:random_trees_embedding:max_leaf_nodes,feature_preprocessor:random_trees_embedding:min_samples_leaf,feature_preprocessor:random_trees_embedding:min_samples_split,feature_preprocessor:random_trees_embedding:min_weight_fraction_leaf,feature_preprocessor:random_trees_embedding:n_estimators,feature_preprocessor:select_percentile_regression:percentile,feature_preprocessor:select_percentile_regression:score_func,feature_preprocessor:select_rates_regression:alpha,feature_preprocessor:select_rates_regression:mode,feature_preprocessor:select_rates_regression:score_func,regressor:__choice__,regressor:adaboost:learning_rate,regressor:adaboost:loss,regressor:adaboost:max_depth,regressor:adaboost:n_estimators,regressor:ard_regression:alpha_1,regressor:ard_regression:alpha_2,regressor:ard_regression:fit_intercept,regressor:ard_regression:lambda_1,regressor:ard_regression:lambda_2,regressor:ard_regression:n_iter,regressor:ard_regression:threshold_lambda,regressor:ard_regression:tol,regressor:decision_tree:criterion,regressor:decision_tree:max_depth_factor,regressor:decision_tree:max_features,regressor:decision_tree:max_leaf_nodes,regressor:decision_tree:min_impurity_decrease,regressor:decision_tree:min_samples_leaf,regressor:decision_tree:min_samples_split,regressor:decision_tree:min_weight_fraction_leaf,regressor:extra_trees:bootstrap,regressor:extra_trees:criterion,regressor:extra_trees:max_depth,regressor:extra_trees:max_features,regressor:extra_trees:max_leaf_nodes,regressor:extra_trees:min_impurity_decrease,regressor:extra_trees:min_samples_leaf,regressor:extra_trees:min_samples_split,regressor:extra_trees:min_weight_fraction_leaf,regressor:gaussian_process:alpha,regressor:gaussian_process:thetaL,regressor:gaussian_process:thetaU,regressor:gradient_boosting:early_stop,regressor:gradient_boosting:l2_regularization,regressor:gradient_boosting:learning_rate,regressor:gradient_boosting:loss,regressor:gradient_boosting:max_bins,regressor:gradient_boosting:max_depth,regressor:gradient_boosting:max_leaf_nodes,regressor:gradient_boosting:min_samples_leaf,regressor:gradient_boosting:n_iter_no_change,regressor:gradient_boosting:scoring,regressor:gradient_boosting:tol,regressor:gradient_boosting:validation_fraction,regressor:k_nearest_neighbors:n_neighbors,regressor:k_nearest_neighbors:p,regressor:k_nearest_neighbors:weights,regressor:liblinear_svr:C,regressor:liblinear_svr:dual,regressor:liblinear_svr:epsilon,regressor:liblinear_svr:fit_intercept,regressor:liblinear_svr:intercept_scaling,regressor:liblinear_svr:loss,regressor:liblinear_svr:tol,regressor:libsvm_svr:C,regressor:libsvm_svr:coef0,regressor:libsvm_svr:degree,regressor:libsvm_svr:epsilon,regressor:libsvm_svr:gamma,regressor:libsvm_svr:kernel,regressor:libsvm_svr:max_iter,regressor:libsvm_svr:shrinking,regressor:libsvm_svr:tol,regressor:mlp:activation,regressor:mlp:alpha,regressor:mlp:batch_size,regressor:mlp:beta_1,regressor:mlp:beta_2,regressor:mlp:early_stopping,regressor:mlp:epsilon,regressor:mlp:hidden_layer_depth,regressor:mlp:learning_rate_init,regressor:mlp:n_iter_no_change,regressor:mlp:num_nodes_per_layer,regressor:mlp:shuffle,regressor:mlp:solver,regressor:mlp:tol,regressor:mlp:validation_fraction,regressor:random_forest:bootstrap,regressor:random_forest:criterion,regressor:random_forest:max_depth,regressor:random_forest:max_features,regressor:random_forest:max_leaf_nodes,regressor:random_forest:min_impurity_decrease,regressor:random_forest:min_samples_leaf,regressor:random_forest:min_samples_split,regressor:random_forest:min_weight_fraction_leaf,regressor:sgd:alpha,regressor:sgd:average,regressor:sgd:epsilon,regressor:sgd:eta0,regressor:sgd:fit_intercept,regressor:sgd:l1_ratio,regressor:sgd:learning_rate,regressor:sgd:loss,regressor:sgd:penalty,regressor:sgd:power_t,regressor:sgd:tol,data_preprocessor:__choice__
-1,no_encoding,minority_coalescer,0.19528306404468637,mean,quantile_transformer,1012,normal,,,feature_agglomeration,,,,,,,,,,,,,,euclidean,ward,19,max,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.0036015747006128023,2.958116238190801e-10,1648.7454294729528,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-4,no_encoding,minority_coalescer,0.054221315715325895,most_frequent,standardize,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,mlp,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,tanh,7.818770024985629e-06,auto,0.9,0.999,train,1e-08,1,0.0007351998566408443,32,124,True,adam,0.0001,,,,,,,,,,,,,,,,,,,,,,feature_type
-7,one_hot_encoding,no_coalescense,,most_frequent,quantile_transformer,809,uniform,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,True,,,,,,,,,,,,,sgd,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.01806079811541296,False,,0.015540128437738566,True,0.9326390049807726,constant,squared_loss,elasticnet,,0.00010576654619459039,feature_type
-10,one_hot_encoding,minority_coalescer,0.00010349207190621693,mean,quantile_transformer,229,normal,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.055967923991199715,1.8694491708470566e-10,1.8954846844548174,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-13,one_hot_encoding,no_coalescense,,mean,none,,,,,extra_trees_preproc_for_regression,False,mae,None,0.9005220528852804,None,18,19,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,mlp,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,relu,1.4422002266493963e-06,auto,0.9,0.999,train,1e-08,3,0.00010147904733612964,32,102,True,adam,0.0001,,,,,,,,,,,,,,,,,,,,,,feature_type
-17,one_hot_encoding,minority_coalescer,0.010250361463446604,mean,minmax,,,,,fast_ica,,,,,,,,,,parallel,exp,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,194.03096694114694,,3,0.0010214279074797082,0.20113065159176252,rbf,-1,True,0.0206281932709369,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-19,one_hot_encoding,minority_coalescer,0.0013057623156653984,median,robust_scaler,,,0.7384386306109247,0.13619830011156256,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,47.935402876904554,f_regression,,,,sgd,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3.1920798638358104e-06,True,0.1,2.5662550861454332e-06,True,,invscaling,squared_epsilon_insensitive,l2,0.16443692558514034,7.823786229838958e-05,feature_type
-24,no_encoding,no_coalescense,,mean,quantile_transformer,921,uniform,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.18833155459762518,fdr,f_regression,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1.7244875831624983e-11,1.7692546384341245e-08,2136.489365016044,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-25,no_encoding,minority_coalescer,0.008685068966137644,mean,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,valid,9.509076564526025e-10,0.10000000000000002,least_squares,255,None,43,16,15,loss,1e-07,0.11989931650613757,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-28,no_encoding,minority_coalescer,0.00397868572473159,mean,robust_scaler,,,0.7840854273341944,0.11376189722146844,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,k_nearest_neighbors,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,20,2,distance,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-31,one_hot_encoding,minority_coalescer,0.00011833657936902366,median,robust_scaler,,,0.9620122536055723,0.041640861521144046,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,11.840099182386703,mutual_info,,,,ard_regression,,,,,0.00010000597343918577,9.119287544292207e-06,True,3.857095107208989e-05,2.2152513731755446e-09,300,1149.097005419999,0.07291173569179792,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-34,one_hot_encoding,no_coalescense,,most_frequent,quantile_transformer,952,uniform,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,1.8428972335335263e-10,0.012607824914758717,least_squares,255,None,10,8,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-38,no_encoding,minority_coalescer,0.16100794776610894,median,robust_scaler,,,0.7171413959739553,0.13004136466339758,feature_agglomeration,,,,,,,,,,,,,,euclidean,complete,170,mean,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,False,mae,None,0.35533840599344335,None,0.0,4,3,0.0,,,,,,,,,,,,feature_type
-40,no_encoding,no_coalescense,,mean,normalize,,,,,fast_ica,,,,,,,,,,parallel,logcosh,1204,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,adaboost,0.027276717840410566,square,9,374,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-45,one_hot_encoding,no_coalescense,,most_frequent,robust_scaler,,,0.9547830281251513,0.2818601517145067,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,liblinear_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.8238476287807213,False,0.06889689389306164,True,1,squared_epsilon_insensitive,0.007803766455854209,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-46,no_encoding,no_coalescense,,mean,minmax,,,,,fast_ica,,,,,,,,,,deflation,logcosh,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,12959.890271609733,,2,0.0026974286973887795,5.6258313008635,rbf,-1,False,0.006461735597762997,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-50,one_hot_encoding,no_coalescense,,mean,none,,,,,feature_agglomeration,,,,,,,,,,,,,,manhattan,average,189,mean,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,True,mse,None,0.625928697925399,None,0.0,13,17,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-54,one_hot_encoding,minority_coalescer,0.03327108471043405,mean,minmax,,,,,fast_ica,,,,,,,,,,deflation,exp,100,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,mse,None,1.0,None,0.0,3,4,0.0,,,,,,,,,,,,feature_type
-56,one_hot_encoding,minority_coalescer,0.00045833372603169316,most_frequent,minmax,,,,,random_trees_embedding,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,False,4,None,5,13,1.0,95,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,False,mae,None,0.7632599342253943,None,0.0,6,3,0.0,,,,,,,,,,,,feature_type
-58,one_hot_encoding,no_coalescense,,median,standardize,,,,,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,22.538520410186127,f_regression,,,,liblinear_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.036388789196735646,False,0.0012739627397164333,True,1,squared_epsilon_insensitive,0.020180468804448126,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-62,no_encoding,minority_coalescer,0.012569841099741286,mean,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,False,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,friedman_mse,None,0.849869957463498,None,0.0,1,7,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-66,no_encoding,minority_coalescer,0.00016754269505428354,median,quantile_transformer,170,uniform,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mse,None,0.6962692885049272,None,0.0,17,17,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-69,no_encoding,minority_coalescer,0.005916160439507675,median,robust_scaler,,,0.7573862080172087,0.23248564130335703,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,mse,None,0.9576560462788346,None,0.0,1,2,0.0,,,,,,,,,,,,feature_type
-71,one_hot_encoding,minority_coalescer,0.009257498949520307,most_frequent,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.44961973382556947,,,0.09740809652741539,,linear,-1,False,0.0017432165166466219,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-74,no_encoding,minority_coalescer,0.0411371732037623,most_frequent,standardize,,,,,fast_ica,,,,,,,,,,deflation,exp,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.03920815396184238,1.5339339840662385e-06,12835.896109095504,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-76,no_encoding,minority_coalescer,0.01776348615812144,mean,robust_scaler,,,0.7531696951574762,0.26584579918469997,fast_ica,,,,,,,,,,deflation,cube,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,mlp,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,relu,1.740596891332215e-06,auto,0.9,0.999,valid,1e-08,2,0.004884964756762577,32,214,True,adam,0.0001,0.1,,,,,,,,,,,,,,,,,,,,,feature_type
-79,no_encoding,minority_coalescer,0.06321015319850315,mean,minmax,,,,,fast_ica,,,,,,,,,,parallel,exp,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1748.6495214510217,0.6139955830104578,5,0.2904841027866532,0.03681269777162136,poly,-1,False,0.048525035127205005,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-82,no_encoding,minority_coalescer,0.05607310321489163,mean,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,28831.968873651404,0.39386733846748023,3,0.12370783564202235,0.0026233747431769617,poly,-1,True,4.714268123196739e-05,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-86,one_hot_encoding,minority_coalescer,0.09829149530888974,median,robust_scaler,,,0.9428003410291076,0.21757879968576752,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,ard_regression,,,,,0.00047704082924845395,0.00032653628819910504,True,1.1948865170434934e-05,1.3225878459315499e-08,300,8355.350995742332,0.05053571954916396,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-88,one_hot_encoding,no_coalescense,,most_frequent,minmax,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,friedman_mse,None,0.9456069656982452,None,0.0,1,2,0.0,,,,,,,,,,,,feature_type
-91,no_encoding,no_coalescense,,mean,normalize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,k_nearest_neighbors,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1,2,uniform,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-93,one_hot_encoding,no_coalescense,,most_frequent,quantile_transformer,1148,uniform,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.14778326778462142,fpr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,1.7962284970386197e-10,0.05156555327055447,least_squares,255,None,35,12,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-98,no_encoding,no_coalescense,,mean,robust_scaler,,,0.7010465420634562,0.19032833128592427,feature_agglomeration,,,,,,,,,,,,,,euclidean,ward,31,max,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,friedman_mse,None,0.7612289466695656,None,0.0,1,2,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-100,one_hot_encoding,minority_coalescer,0.0004074198580703139,mean,robust_scaler,,,0.9330606970563508,0.2761356138672697,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,adaboost,0.028345285546561846,linear,10,174,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-102,no_encoding,minority_coalescer,0.00829519231049576,mean,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,ard_regression,,,,,4.7044575285722365e-05,0.000629863807127318,True,7.584067704707025e-10,3.923255608410879e-08,300,4052.403778957396,0.009359388994186051,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-105,one_hot_encoding,no_coalescense,,median,none,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.4686252124441843,fpr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,valid,0.0038606936054114,0.020266625124044115,least_squares,255,None,458,158,18,loss,1e-07,0.27775972890692574,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-107,no_encoding,no_coalescense,,mean,robust_scaler,,,0.7727512096172742,0.22461598115758682,feature_agglomeration,,,,,,,,,,,,,,manhattan,complete,21,max,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,2.208787572338781e-05,0.036087332404571744,least_squares,255,None,64,3,18,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-110,no_encoding,minority_coalescer,0.0006869013905922761,mean,quantile_transformer,1352,normal,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.07357548990881542,fpr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,3.20414911914726e-10,0.1279702444496931,least_squares,255,None,63,19,8,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-114,no_encoding,minority_coalescer,0.0003158899599773715,most_frequent,normalize,,,,,feature_agglomeration,,,,,,,,,,,,,,euclidean,complete,253,median,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mae,None,0.7401627697020776,None,0.0,3,14,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-117,no_encoding,no_coalescense,,most_frequent,none,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.2031136218970144,,,0.340528001967228,,linear,-1,False,4.070347915643521e-05,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-119,no_encoding,minority_coalescer,0.002271318766767127,median,quantile_transformer,547,uniform,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,mae,None,0.8193894465766905,None,0.0,2,17,0.0,,,,,,,,,,,,feature_type
-124,no_encoding,no_coalescense,,most_frequent,quantile_transformer,1567,uniform,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,friedman_mse,None,1.0,None,0.0,5,2,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-126,no_encoding,minority_coalescer,0.010222641912650656,median,quantile_transformer,1092,uniform,,,feature_agglomeration,,,,,,,,,,,,,,euclidean,ward,59,mean,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,adaboost,0.010571278032840276,linear,10,116,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-128,one_hot_encoding,no_coalescense,,most_frequent,quantile_transformer,1040,uniform,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,1.27381234568573e-07,0.02758260805263155,least_squares,255,None,57,5,1,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-131,no_encoding,minority_coalescer,0.0026150904111835473,mean,normalize,,,,,pca,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.5410109609735668,True,,,,,,,,,,,,,,,,decision_tree,,,,,,,,,,,,,friedman_mse,1.240365240027156,1.0,None,0.0,19,11,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-135,no_encoding,minority_coalescer,0.00029916315779804966,median,quantile_transformer,894,uniform,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,5.348575844106585e-11,3.2802014300155454e-06,3027.1156250557783,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-137,one_hot_encoding,minority_coalescer,0.17155533674405296,most_frequent,minmax,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.04620436030152636,0.0002826448059048065,992.7876887853456,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-140,no_encoding,no_coalescense,,median,minmax,,,,,feature_agglomeration,,,,,,,,,,,,,,euclidean,average,272,median,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mse,None,0.5120356089629183,None,0.0,1,4,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-143,no_encoding,no_coalescense,,median,robust_scaler,,,0.7889051141669929,0.2253427527717258,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.3527536326193086,fdr,f_regression,extra_trees,,,,,,,,,,,,,,,,,,,,,True,mae,None,0.8877409763106398,None,0.0,10,3,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-148,no_encoding,no_coalescense,,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,ard_regression,,,,,0.0005879259823371087,3.410007832100047e-07,True,1.6597956274062097e-05,9.910691609164284e-10,300,2203.910297381356,0.006471761365578467,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-150,no_encoding,no_coalescense,,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mse,None,0.9797793053686011,None,0.0,1,4,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-153,one_hot_encoding,minority_coalescer,0.00013899061331455512,mean,minmax,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.19203734614573903,fdr,f_regression,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.28764734226521,1.5934220315148466e-07,59443.23501615305,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-154,no_encoding,minority_coalescer,0.008570597554507026,mean,none,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,mse,None,0.9098871393070471,None,0.0,1,2,0.0,,,,,,,,,,,,feature_type
-159,one_hot_encoding,minority_coalescer,0.008494856931473163,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,False,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.00037081737393889196,0.0006267702361019145,13.752901559664084,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-162,one_hot_encoding,minority_coalescer,0.010000000000000004,mean,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,friedman_mse,None,0.9833970457216187,None,0.0,2,2,0.0,,,,,,,,,,,,feature_type
-163,one_hot_encoding,minority_coalescer,0.018112600861325767,most_frequent,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.08159282928354238,8.625307386344728e-08,65.48869509665326,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-167,no_encoding,no_coalescense,,median,robust_scaler,,,0.843129351775309,0.033590245583939284,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,friedman_mse,None,0.7024447901011698,None,0.0,2,15,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-171,one_hot_encoding,no_coalescense,,mean,quantile_transformer,268,uniform,,,feature_agglomeration,,,,,,,,,,,,,,euclidean,average,107,median,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.42928092501196696,1.4435895787652725e-07,8.108685026706572,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-172,no_encoding,no_coalescense,,mean,standardize,,,,,feature_agglomeration,,,,,,,,,,,,,,manhattan,complete,385,mean,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,sgd,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1.238055706285357e-06,True,0.0035413980064916656,,True,,optimal,epsilon_insensitive,l2,,8.385117758196218e-05,feature_type
-176,one_hot_encoding,minority_coalescer,0.019566163649872924,most_frequent,robust_scaler,,,0.7200608810425068,0.22968043330398744,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.18539282936320728,fwe,f_regression,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mae,None,0.9029989558220115,None,0.0,1,2,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-178,no_encoding,minority_coalescer,0.2167319402461091,mean,quantile_transformer,1000,uniform,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.45870554101260114,fpr,f_regression,sgd,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.002933121397771544,False,0.009964658655519253,,True,0.14999999999999974,optimal,epsilon_insensitive,elasticnet,,3.708169053960741e-05,feature_type
-182,one_hot_encoding,minority_coalescer,0.006514462620801008,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,0.00956904848708048,0.028094986340152454,least_squares,255,None,154,13,20,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-184,no_encoding,no_coalescense,,mean,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,False,,,,,,,,,,,,,ard_regression,,,,,0.00015485569335015024,5.177331116710886e-07,True,1.749057118338389e-07,3.0624484035937795e-09,300,12306.96029514458,2.0202229877767396e-05,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-186,no_encoding,minority_coalescer,0.010515112787842862,most_frequent,quantile_transformer,583,uniform,,,feature_agglomeration,,,,,,,,,,,,,,euclidean,average,5,mean,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.00015169626319121407,0.0006853872700383563,80227.86048666916,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-189,no_encoding,minority_coalescer,0.042447196977431316,most_frequent,minmax,,,,,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,32.125031211228716,f_regression,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.0017749279098074491,1.0426968473759477e-05,4564.7519789609605,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-193,no_encoding,no_coalescense,,mean,robust_scaler,,,0.7677833621565118,0.25759436171066835,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,valid,1e-10,0.026111542610815466,least_squares,255,None,229,36,13,loss,1e-07,0.13728453982467612,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-195,no_encoding,minority_coalescer,0.02451767690464501,mean,standardize,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.09732187826438828,fpr,f_regression,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.014777084048994575,2.286200540779987e-09,9302.444837996962,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-200,one_hot_encoding,no_coalescense,,mean,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,friedman_mse,None,0.9663287705959869,None,0.0,3,10,0.0,,,,,,,,,,,,feature_type
-201,one_hot_encoding,no_coalescense,,mean,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,2.093528627734622e-10,0.056993947028442245,least_squares,255,None,96,7,20,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-204,no_encoding,minority_coalescer,0.0026150904111835473,mean,normalize,,,,,pca,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.5410109609735668,True,,,,,,,,,,,,,,,,decision_tree,,,,,,,,,,,,,friedman_mse,1.240365240027156,1.0,None,0.0,19,11,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-208,no_encoding,no_coalescense,,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,True,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,valid,0.327916992926995,0.09896445264759084,least_squares,255,None,100,2,7,loss,1e-07,0.3111309300472759,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-211,no_encoding,no_coalescense,,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,180.22479438529933,,4,0.0012571604901280202,0.10272820821863678,rbf,-1,False,0.02945259690926852,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-213,one_hot_encoding,minority_coalescer,0.014339959628553693,most_frequent,standardize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,True,,,,,,,,,,,,,sgd,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,4.8547880184275584e-05,True,0.09563670720196799,0.014559866208729597,True,,invscaling,epsilon_insensitive,l1,0.13583279480857163,0.00012816751859526018,feature_type
-217,one_hot_encoding,minority_coalescer,0.00013426375251483367,mean,quantile_transformer,1000,normal,,,extra_trees_preproc_for_regression,False,mae,None,0.9485456391530016,None,2,11,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,mae,None,1.0,None,0.0,1,5,0.0,,,,,,,,,,,,feature_type
-219,no_encoding,minority_coalescer,0.01943518864702716,mean,minmax,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.19219901458178226,fpr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,valid,0.13669968231796129,0.4353151247757148,least_squares,255,None,80,67,14,loss,1e-07,0.044680427745856566,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-224,one_hot_encoding,no_coalescense,,median,quantile_transformer,1016,uniform,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.3992671482410072,fpr,f_regression,extra_trees,,,,,,,,,,,,,,,,,,,,,True,mse,None,0.2477939208870194,None,0.0,2,4,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-227,no_encoding,minority_coalescer,0.04976647818875639,mean,robust_scaler,,,0.7496554606439986,0.21900339643120248,feature_agglomeration,,,,,,,,,,,,,,euclidean,complete,31,max,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,mse,None,0.9373461778146084,None,0.0,1,2,0.0,,,,,,,,,,,,feature_type
-228,no_encoding,minority_coalescer,0.0005112414168823774,median,standardize,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.4807408968132736,fdr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,5.775517309881741e-08,0.020024969424259676,least_squares,255,None,156,85,16,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-232,no_encoding,no_coalescense,,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,False,,,,,,,,,,,,,sgd,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.0006517033225329654,False,0.012150149892783745,0.016444224834275295,True,1.7462342366289323e-09,invscaling,epsilon_insensitive,elasticnet,0.21521743568582094,0.002431731981071206,feature_type
-234,no_encoding,minority_coalescer,0.00104103393087551,mean,standardize,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.03987312851206322,0.00027703072510082584,1116.9802212627676,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-237,no_encoding,minority_coalescer,0.007741331259480108,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.020932011717701825,7.512295484675918e-08,427.92917011793116,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-240,no_encoding,minority_coalescer,0.016767569924572498,mean,standardize,,,,,extra_trees_preproc_for_regression,True,mse,None,1.0,None,1,4,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.01114234288871711,2.051184689945752e-07,16.033192975742793,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-243,one_hot_encoding,no_coalescense,,most_frequent,none,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.17117168806134755,fpr,f_regression,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.014512997078108282,2.3840234103129553e-05,4588.288936194533,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-247,one_hot_encoding,minority_coalescer,0.014192135928954746,median,standardize,,,,,fast_ica,,,,,,,,,,deflation,exp,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1.4272136443763257,0.2694141260648879,2,0.10000000000000006,0.05757315877344016,poly,-1,False,0.0010000000000000002,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-249,one_hot_encoding,minority_coalescer,0.002291266242901915,most_frequent,standardize,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,mse,None,0.9838295541249756,None,0.0,4,9,0.0,,,,,,,,,,,,feature_type
-252,one_hot_encoding,minority_coalescer,0.0001745391328519669,most_frequent,robust_scaler,,,0.8057830372269097,0.24982831110057324,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.3621762718897781,fwe,f_regression,ard_regression,,,,,2.7664515192592053e-05,9.504988116581138e-07,True,6.50650698230178e-09,4.238533890074848e-07,300,78251.58542976103,0.0007301343236220855,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-257,one_hot_encoding,minority_coalescer,0.0216783950539192,mean,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,0.00010889929093369623,0.013461560146088193,least_squares,255,None,922,78,19,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-258,no_encoding,minority_coalescer,0.09382570527264746,most_frequent,robust_scaler,,,0.7371688778157178,0.2787239315402732,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,ard_regression,,,,,0.0004011707126241623,0.00043076459083384017,True,1.4497912759357727e-08,5.5191094555400335e-05,300,1906.0574184995257,4.362118572358691e-05,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-261,one_hot_encoding,minority_coalescer,0.06060922445200678,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,False,,,,,,,,,,,,,ard_regression,,,,,0.0008174368913886637,1.7875823585609458e-07,True,3.571262743428141e-07,4.14818291023703e-09,300,23257.23600441506,0.016014365114117364,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-265,one_hot_encoding,no_coalescense,,mean,standardize,,,,,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,24.560906712337708,f_regression,,,,decision_tree,,,,,,,,,,,,,mae,0.8468780775417923,1.0,None,0.0,9,17,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-267,no_encoding,no_coalescense,,median,none,,,,,pca,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.5978082797440822,True,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1.737104302980724,-0.22262956416372015,5,0.01762287049050619,,sigmoid,-1,True,0.0002849301132395629,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-270,one_hot_encoding,no_coalescense,,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,False,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.03958214337031283,5.078705377926443e-07,1766.8717059746273,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-275,one_hot_encoding,no_coalescense,,most_frequent,quantile_transformer,67,uniform,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,False,mse,None,1.0,None,0.0,12,3,0.0,,,,,,,,,,,,feature_type
-278,one_hot_encoding,minority_coalescer,0.09205870929132008,most_frequent,normalize,,,,,feature_agglomeration,,,,,,,,,,,,,,euclidean,ward,148,median,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,adaboost,0.035013789031210156,square,8,126,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-279,no_encoding,minority_coalescer,0.4873131661139947,mean,standardize,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.43441750135120694,fpr,f_regression,k_nearest_neighbors,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,2,distance,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-282,no_encoding,minority_coalescer,0.004113130505243843,most_frequent,none,,,,,extra_trees_preproc_for_regression,True,mae,None,0.8369649994277156,None,8,19,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.04144129277528442,2.0039230791934377e-06,49341.759561854764,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-285,no_encoding,no_coalescense,,mean,minmax,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.2186105871515939,fdr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,0.10377482408306521,0.016255400771699312,least_squares,255,None,65,70,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+idx,data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__,data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__,data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction,data_preprocessor:feature_type:numerical_transformer:imputation:strategy,data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__,data_preprocessor:feature_type:numerical_transformer:rescaling:quantile_transformer:n_quantiles,data_preprocessor:feature_type:numerical_transformer:rescaling:quantile_transformer:output_distribution,data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_max,data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_min,feature_preprocessor:__choice__,feature_preprocessor:extra_trees_preproc_for_regression:bootstrap,feature_preprocessor:extra_trees_preproc_for_regression:criterion,feature_preprocessor:extra_trees_preproc_for_regression:max_depth,feature_preprocessor:extra_trees_preproc_for_regression:max_features,feature_preprocessor:extra_trees_preproc_for_regression:max_leaf_nodes,feature_preprocessor:extra_trees_preproc_for_regression:min_samples_leaf,feature_preprocessor:extra_trees_preproc_for_regression:min_samples_split,feature_preprocessor:extra_trees_preproc_for_regression:min_weight_fraction_leaf,feature_preprocessor:extra_trees_preproc_for_regression:n_estimators,feature_preprocessor:fast_ica:algorithm,feature_preprocessor:fast_ica:fun,feature_preprocessor:fast_ica:n_components,feature_preprocessor:fast_ica:whiten,feature_preprocessor:feature_agglomeration:affinity,feature_preprocessor:feature_agglomeration:linkage,feature_preprocessor:feature_agglomeration:n_clusters,feature_preprocessor:feature_agglomeration:pooling_func,feature_preprocessor:kernel_pca:coef0,feature_preprocessor:kernel_pca:degree,feature_preprocessor:kernel_pca:gamma,feature_preprocessor:kernel_pca:kernel,feature_preprocessor:kernel_pca:n_components,feature_preprocessor:kitchen_sinks:gamma,feature_preprocessor:kitchen_sinks:n_components,feature_preprocessor:nystroem_sampler:coef0,feature_preprocessor:nystroem_sampler:degree,feature_preprocessor:nystroem_sampler:gamma,feature_preprocessor:nystroem_sampler:kernel,feature_preprocessor:nystroem_sampler:n_components,feature_preprocessor:pca:keep_variance,feature_preprocessor:pca:whiten,feature_preprocessor:polynomial:degree,feature_preprocessor:polynomial:include_bias,feature_preprocessor:polynomial:interaction_only,feature_preprocessor:random_trees_embedding:bootstrap,feature_preprocessor:random_trees_embedding:max_depth,feature_preprocessor:random_trees_embedding:max_leaf_nodes,feature_preprocessor:random_trees_embedding:min_samples_leaf,feature_preprocessor:random_trees_embedding:min_samples_split,feature_preprocessor:random_trees_embedding:min_weight_fraction_leaf,feature_preprocessor:random_trees_embedding:n_estimators,feature_preprocessor:select_percentile_regression:percentile,feature_preprocessor:select_percentile_regression:score_func,feature_preprocessor:select_rates_regression:alpha,feature_preprocessor:select_rates_regression:mode,feature_preprocessor:select_rates_regression:score_func,regressor:__choice__,regressor:adaboost:learning_rate,regressor:adaboost:loss,regressor:adaboost:max_depth,regressor:adaboost:n_estimators,regressor:ard_regression:alpha_1,regressor:ard_regression:alpha_2,regressor:ard_regression:fit_intercept,regressor:ard_regression:lambda_1,regressor:ard_regression:lambda_2,regressor:ard_regression:n_iter,regressor:ard_regression:threshold_lambda,regressor:ard_regression:tol,regressor:decision_tree:criterion,regressor:decision_tree:max_depth_factor,regressor:decision_tree:max_features,regressor:decision_tree:max_leaf_nodes,regressor:decision_tree:min_impurity_decrease,regressor:decision_tree:min_samples_leaf,regressor:decision_tree:min_samples_split,regressor:decision_tree:min_weight_fraction_leaf,regressor:extra_trees:bootstrap,regressor:extra_trees:criterion,regressor:extra_trees:max_depth,regressor:extra_trees:max_features,regressor:extra_trees:max_leaf_nodes,regressor:extra_trees:min_impurity_decrease,regressor:extra_trees:min_samples_leaf,regressor:extra_trees:min_samples_split,regressor:extra_trees:min_weight_fraction_leaf,regressor:gaussian_process:alpha,regressor:gaussian_process:thetaL,regressor:gaussian_process:thetaU,regressor:gradient_boosting:early_stop,regressor:gradient_boosting:l2_regularization,regressor:gradient_boosting:learning_rate,regressor:gradient_boosting:loss,regressor:gradient_boosting:max_bins,regressor:gradient_boosting:max_depth,regressor:gradient_boosting:max_leaf_nodes,regressor:gradient_boosting:min_samples_leaf,regressor:gradient_boosting:n_iter_no_change,regressor:gradient_boosting:scoring,regressor:gradient_boosting:tol,regressor:gradient_boosting:validation_fraction,regressor:k_nearest_neighbors:n_neighbors,regressor:k_nearest_neighbors:p,regressor:k_nearest_neighbors:weights,regressor:liblinear_svr:C,regressor:liblinear_svr:dual,regressor:liblinear_svr:epsilon,regressor:liblinear_svr:fit_intercept,regressor:liblinear_svr:intercept_scaling,regressor:liblinear_svr:loss,regressor:liblinear_svr:tol,regressor:libsvm_svr:C,regressor:libsvm_svr:coef0,regressor:libsvm_svr:degree,regressor:libsvm_svr:epsilon,regressor:libsvm_svr:gamma,regressor:libsvm_svr:kernel,regressor:libsvm_svr:max_iter,regressor:libsvm_svr:shrinking,regressor:libsvm_svr:tol,regressor:mlp:activation,regressor:mlp:alpha,regressor:mlp:batch_size,regressor:mlp:beta_1,regressor:mlp:beta_2,regressor:mlp:early_stopping,regressor:mlp:epsilon,regressor:mlp:hidden_layer_depth,regressor:mlp:learning_rate_init,regressor:mlp:n_iter_no_change,regressor:mlp:num_nodes_per_layer,regressor:mlp:shuffle,regressor:mlp:solver,regressor:mlp:tol,regressor:mlp:validation_fraction,regressor:random_forest:bootstrap,regressor:random_forest:criterion,regressor:random_forest:max_depth,regressor:random_forest:max_features,regressor:random_forest:max_leaf_nodes,regressor:random_forest:min_impurity_decrease,regressor:random_forest:min_samples_leaf,regressor:random_forest:min_samples_split,regressor:random_forest:min_weight_fraction_leaf,regressor:sgd:alpha,regressor:sgd:average,regressor:sgd:epsilon,regressor:sgd:eta0,regressor:sgd:fit_intercept,regressor:sgd:l1_ratio,regressor:sgd:learning_rate,regressor:sgd:loss,regressor:sgd:penalty,regressor:sgd:power_t,regressor:sgd:tol,data_preprocessor:__choice__
+1,no_encoding,minority_coalescer,0.19528306404468637,mean,quantile_transformer,1012,normal,,,feature_agglomeration,,,,,,,,,,,,,,euclidean,ward,19,max,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.0036015747006128023,2.958116238190801e-10,1648.7454294729528,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+4,no_encoding,minority_coalescer,0.054221315715325895,most_frequent,standardize,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,mlp,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,tanh,7.818770024985629e-06,auto,0.9,0.999,train,1e-08,1,0.0007351998566408443,32,124,True,adam,0.0001,,,,,,,,,,,,,,,,,,,,,,feature_type
+7,one_hot_encoding,no_coalescense,,most_frequent,quantile_transformer,809,uniform,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,True,,,,,,,,,,,,,sgd,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.01806079811541296,False,,0.015540128437738566,True,0.9326390049807726,constant,squared_loss,elasticnet,,0.00010576654619459039,feature_type
+10,one_hot_encoding,minority_coalescer,0.00010349207190621693,mean,quantile_transformer,229,normal,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.055967923991199715,1.8694491708470566e-10,1.8954846844548174,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+13,one_hot_encoding,no_coalescense,,mean,none,,,,,extra_trees_preproc_for_regression,False,mae,None,0.9005220528852804,None,18,19,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,mlp,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,relu,1.4422002266493963e-06,auto,0.9,0.999,train,1e-08,3,0.00010147904733612964,32,102,True,adam,0.0001,,,,,,,,,,,,,,,,,,,,,,feature_type
+17,one_hot_encoding,minority_coalescer,0.010250361463446604,mean,minmax,,,,,fast_ica,,,,,,,,,,parallel,exp,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,194.03096694114694,,,0.0010214279074797082,0.20113065159176252,rbf,-1,True,0.0206281932709369,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+19,one_hot_encoding,minority_coalescer,0.0013057623156653984,median,robust_scaler,,,0.7384386306109247,0.13619830011156256,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,47.935402876904554,f_regression,,,,sgd,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3.1920798638358104e-06,True,0.1,2.5662550861454332e-06,True,,invscaling,squared_epsilon_insensitive,l2,0.16443692558514034,7.823786229838958e-05,feature_type
+24,no_encoding,no_coalescense,,mean,quantile_transformer,921,uniform,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.18833155459762518,fdr,f_regression,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1.7244875831624983e-11,1.7692546384341245e-08,2136.489365016044,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+25,no_encoding,minority_coalescer,0.008685068966137644,mean,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,valid,9.509076564526025e-10,0.10000000000000002,least_squares,255,None,43,16,15,loss,1e-07,0.11989931650613757,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+28,no_encoding,minority_coalescer,0.00397868572473159,mean,robust_scaler,,,0.7840854273341944,0.11376189722146844,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,k_nearest_neighbors,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,20,2,distance,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+31,one_hot_encoding,minority_coalescer,0.00011833657936902366,median,robust_scaler,,,0.9620122536055723,0.041640861521144046,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,11.840099182386703,mutual_info,,,,ard_regression,,,,,0.00010000597343918577,9.119287544292207e-06,True,3.857095107208989e-05,2.2152513731755446e-09,300,1149.097005419999,0.07291173569179792,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+34,one_hot_encoding,no_coalescense,,most_frequent,quantile_transformer,952,uniform,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,1.8428972335335263e-10,0.012607824914758717,least_squares,255,None,10,8,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+38,no_encoding,minority_coalescer,0.16100794776610894,median,robust_scaler,,,0.7171413959739553,0.13004136466339758,feature_agglomeration,,,,,,,,,,,,,,euclidean,complete,170,mean,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,False,mae,None,0.35533840599344335,None,0.0,4,3,0.0,,,,,,,,,,,,feature_type
+40,no_encoding,no_coalescense,,mean,normalize,,,,,fast_ica,,,,,,,,,,parallel,logcosh,1204,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,adaboost,0.027276717840410566,square,9,374,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+45,one_hot_encoding,no_coalescense,,most_frequent,robust_scaler,,,0.9547830281251513,0.2818601517145067,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,liblinear_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.8238476287807213,False,0.06889689389306164,True,1,squared_epsilon_insensitive,0.007803766455854209,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+46,no_encoding,no_coalescense,,mean,minmax,,,,,fast_ica,,,,,,,,,,deflation,logcosh,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,12959.890271609733,,,0.0026974286973887795,5.6258313008635,rbf,-1,False,0.006461735597762997,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+50,one_hot_encoding,no_coalescense,,mean,none,,,,,feature_agglomeration,,,,,,,,,,,,,,manhattan,average,189,mean,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,True,mse,None,0.625928697925399,None,0.0,13,17,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+54,one_hot_encoding,minority_coalescer,0.03327108471043405,mean,minmax,,,,,fast_ica,,,,,,,,,,deflation,exp,100,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,mse,None,1.0,None,0.0,3,4,0.0,,,,,,,,,,,,feature_type
+56,one_hot_encoding,minority_coalescer,0.00045833372603169316,most_frequent,minmax,,,,,random_trees_embedding,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,False,4,None,5,13,1.0,95,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,False,mae,None,0.7632599342253943,None,0.0,6,3,0.0,,,,,,,,,,,,feature_type
+58,one_hot_encoding,no_coalescense,,median,standardize,,,,,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,22.538520410186127,f_regression,,,,liblinear_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.036388789196735646,False,0.0012739627397164333,True,1,squared_epsilon_insensitive,0.020180468804448126,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+62,no_encoding,minority_coalescer,0.012569841099741286,mean,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,False,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,friedman_mse,None,0.849869957463498,None,0.0,1,7,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+66,no_encoding,minority_coalescer,0.00016754269505428354,median,quantile_transformer,170,uniform,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mse,None,0.6962692885049272,None,0.0,17,17,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+69,no_encoding,minority_coalescer,0.005916160439507675,median,robust_scaler,,,0.7573862080172087,0.23248564130335703,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,mse,None,0.9576560462788346,None,0.0,1,2,0.0,,,,,,,,,,,,feature_type
+71,one_hot_encoding,minority_coalescer,0.009257498949520307,most_frequent,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.44961973382556947,,,0.09740809652741539,,linear,-1,False,0.0017432165166466219,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+74,no_encoding,minority_coalescer,0.0411371732037623,most_frequent,standardize,,,,,fast_ica,,,,,,,,,,deflation,exp,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.03920815396184238,1.5339339840662385e-06,12835.896109095504,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+76,no_encoding,minority_coalescer,0.01776348615812144,mean,robust_scaler,,,0.7531696951574762,0.26584579918469997,fast_ica,,,,,,,,,,deflation,cube,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,mlp,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,relu,1.740596891332215e-06,auto,0.9,0.999,valid,1e-08,2,0.004884964756762577,32,214,True,adam,0.0001,0.1,,,,,,,,,,,,,,,,,,,,,feature_type
+79,no_encoding,minority_coalescer,0.06321015319850315,mean,minmax,,,,,fast_ica,,,,,,,,,,parallel,exp,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1748.6495214510217,0.6139955830104578,5,0.2904841027866532,0.03681269777162136,poly,-1,False,0.048525035127205005,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+82,no_encoding,minority_coalescer,0.05607310321489163,mean,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,28831.968873651404,0.39386733846748023,3,0.12370783564202235,0.0026233747431769617,poly,-1,True,4.714268123196739e-05,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+86,one_hot_encoding,minority_coalescer,0.09829149530888974,median,robust_scaler,,,0.9428003410291076,0.21757879968576752,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,ard_regression,,,,,0.00047704082924845395,0.00032653628819910504,True,1.1948865170434934e-05,1.3225878459315499e-08,300,8355.350995742332,0.05053571954916396,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+88,one_hot_encoding,no_coalescense,,most_frequent,minmax,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,friedman_mse,None,0.9456069656982452,None,0.0,1,2,0.0,,,,,,,,,,,,feature_type
+91,no_encoding,no_coalescense,,mean,normalize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,k_nearest_neighbors,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1,2,uniform,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+93,one_hot_encoding,no_coalescense,,most_frequent,quantile_transformer,1148,uniform,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.14778326778462142,fpr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,1.7962284970386197e-10,0.05156555327055447,least_squares,255,None,35,12,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+98,no_encoding,no_coalescense,,mean,robust_scaler,,,0.7010465420634562,0.19032833128592427,feature_agglomeration,,,,,,,,,,,,,,euclidean,ward,31,max,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,friedman_mse,None,0.7612289466695656,None,0.0,1,2,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+100,one_hot_encoding,minority_coalescer,0.0004074198580703139,mean,robust_scaler,,,0.9330606970563508,0.2761356138672697,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,adaboost,0.028345285546561846,linear,10,174,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+102,no_encoding,minority_coalescer,0.00829519231049576,mean,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,ard_regression,,,,,4.7044575285722365e-05,0.000629863807127318,True,7.584067704707025e-10,3.923255608410879e-08,300,4052.403778957396,0.009359388994186051,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+105,one_hot_encoding,no_coalescense,,median,none,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.4686252124441843,fpr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,valid,0.0038606936054114,0.020266625124044115,least_squares,255,None,458,158,18,loss,1e-07,0.27775972890692574,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+107,no_encoding,no_coalescense,,mean,robust_scaler,,,0.7727512096172742,0.22461598115758682,feature_agglomeration,,,,,,,,,,,,,,manhattan,complete,21,max,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,2.208787572338781e-05,0.036087332404571744,least_squares,255,None,64,3,18,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+110,no_encoding,minority_coalescer,0.0006869013905922761,mean,quantile_transformer,1352,normal,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.07357548990881542,fpr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,3.20414911914726e-10,0.1279702444496931,least_squares,255,None,63,19,8,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+114,no_encoding,minority_coalescer,0.0003158899599773715,most_frequent,normalize,,,,,feature_agglomeration,,,,,,,,,,,,,,euclidean,complete,253,median,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mae,None,0.7401627697020776,None,0.0,3,14,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+117,no_encoding,no_coalescense,,most_frequent,none,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.2031136218970144,,,0.340528001967228,,linear,-1,False,4.070347915643521e-05,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+119,no_encoding,minority_coalescer,0.002271318766767127,median,quantile_transformer,547,uniform,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,mae,None,0.8193894465766905,None,0.0,2,17,0.0,,,,,,,,,,,,feature_type
+124,no_encoding,no_coalescense,,most_frequent,quantile_transformer,1567,uniform,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,friedman_mse,None,1.0,None,0.0,5,2,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+126,no_encoding,minority_coalescer,0.010222641912650656,median,quantile_transformer,1092,uniform,,,feature_agglomeration,,,,,,,,,,,,,,euclidean,ward,59,mean,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,adaboost,0.010571278032840276,linear,10,116,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+128,one_hot_encoding,no_coalescense,,most_frequent,quantile_transformer,1040,uniform,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,1.27381234568573e-07,0.02758260805263155,least_squares,255,None,57,5,1,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+131,no_encoding,minority_coalescer,0.0026150904111835473,mean,normalize,,,,,pca,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.5410109609735668,True,,,,,,,,,,,,,,,,decision_tree,,,,,,,,,,,,,friedman_mse,1.240365240027156,1.0,None,0.0,19,11,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+135,no_encoding,minority_coalescer,0.00029916315779804966,median,quantile_transformer,894,uniform,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,5.348575844106585e-11,3.2802014300155454e-06,3027.1156250557783,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+137,one_hot_encoding,minority_coalescer,0.17155533674405296,most_frequent,minmax,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.04620436030152636,0.0002826448059048065,992.7876887853456,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+140,no_encoding,no_coalescense,,median,minmax,,,,,feature_agglomeration,,,,,,,,,,,,,,euclidean,average,272,median,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mse,None,0.5120356089629183,None,0.0,1,4,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+143,no_encoding,no_coalescense,,median,robust_scaler,,,0.7889051141669929,0.2253427527717258,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.3527536326193086,fdr,f_regression,extra_trees,,,,,,,,,,,,,,,,,,,,,True,mae,None,0.8877409763106398,None,0.0,10,3,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+148,no_encoding,no_coalescense,,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,ard_regression,,,,,0.0005879259823371087,3.410007832100047e-07,True,1.6597956274062097e-05,9.910691609164284e-10,300,2203.910297381356,0.006471761365578467,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+150,no_encoding,no_coalescense,,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mse,None,0.9797793053686011,None,0.0,1,4,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+153,one_hot_encoding,minority_coalescer,0.00013899061331455512,mean,minmax,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.19203734614573903,fdr,f_regression,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.28764734226521,1.5934220315148466e-07,59443.23501615305,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+154,no_encoding,minority_coalescer,0.008570597554507026,mean,none,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,mse,None,0.9098871393070471,None,0.0,1,2,0.0,,,,,,,,,,,,feature_type
+159,one_hot_encoding,minority_coalescer,0.008494856931473163,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,False,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.00037081737393889196,0.0006267702361019145,13.752901559664084,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+162,one_hot_encoding,minority_coalescer,0.010000000000000004,mean,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,friedman_mse,None,0.9833970457216187,None,0.0,2,2,0.0,,,,,,,,,,,,feature_type
+163,one_hot_encoding,minority_coalescer,0.018112600861325767,most_frequent,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.08159282928354238,8.625307386344728e-08,65.48869509665326,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+167,no_encoding,no_coalescense,,median,robust_scaler,,,0.843129351775309,0.033590245583939284,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,friedman_mse,None,0.7024447901011698,None,0.0,2,15,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+171,one_hot_encoding,no_coalescense,,mean,quantile_transformer,268,uniform,,,feature_agglomeration,,,,,,,,,,,,,,euclidean,average,107,median,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.42928092501196696,1.4435895787652725e-07,8.108685026706572,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+172,no_encoding,no_coalescense,,mean,standardize,,,,,feature_agglomeration,,,,,,,,,,,,,,manhattan,complete,385,mean,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,sgd,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1.238055706285357e-06,True,0.0035413980064916656,,True,,optimal,epsilon_insensitive,l2,,8.385117758196218e-05,feature_type
+176,one_hot_encoding,minority_coalescer,0.019566163649872924,most_frequent,robust_scaler,,,0.7200608810425068,0.22968043330398744,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.18539282936320728,fwe,f_regression,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mae,None,0.9029989558220115,None,0.0,1,2,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+178,no_encoding,minority_coalescer,0.2167319402461091,mean,quantile_transformer,1000,uniform,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.45870554101260114,fpr,f_regression,sgd,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.002933121397771544,False,0.009964658655519253,,True,0.14999999999999974,optimal,epsilon_insensitive,elasticnet,,3.708169053960741e-05,feature_type
+182,one_hot_encoding,minority_coalescer,0.006514462620801008,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,0.00956904848708048,0.028094986340152454,least_squares,255,None,154,13,20,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+184,no_encoding,no_coalescense,,mean,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,False,,,,,,,,,,,,,ard_regression,,,,,0.00015485569335015024,5.177331116710886e-07,True,1.749057118338389e-07,3.0624484035937795e-09,300,12306.96029514458,2.0202229877767396e-05,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+186,no_encoding,minority_coalescer,0.010515112787842862,most_frequent,quantile_transformer,583,uniform,,,feature_agglomeration,,,,,,,,,,,,,,euclidean,average,5,mean,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.00015169626319121407,0.0006853872700383563,80227.86048666916,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+189,no_encoding,minority_coalescer,0.042447196977431316,most_frequent,minmax,,,,,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,32.125031211228716,f_regression,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.0017749279098074491,1.0426968473759477e-05,4564.7519789609605,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+193,no_encoding,no_coalescense,,mean,robust_scaler,,,0.7677833621565118,0.25759436171066835,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,valid,1e-10,0.026111542610815466,least_squares,255,None,229,36,13,loss,1e-07,0.13728453982467612,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+195,no_encoding,minority_coalescer,0.02451767690464501,mean,standardize,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.09732187826438828,fpr,f_regression,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.014777084048994575,2.286200540779987e-09,9302.444837996962,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+200,one_hot_encoding,no_coalescense,,mean,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,friedman_mse,None,0.9663287705959869,None,0.0,3,10,0.0,,,,,,,,,,,,feature_type
+201,one_hot_encoding,no_coalescense,,mean,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,2.093528627734622e-10,0.056993947028442245,least_squares,255,None,96,7,20,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+204,no_encoding,minority_coalescer,0.0026150904111835473,mean,normalize,,,,,pca,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.5410109609735668,True,,,,,,,,,,,,,,,,decision_tree,,,,,,,,,,,,,friedman_mse,1.240365240027156,1.0,None,0.0,19,11,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+208,no_encoding,no_coalescense,,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,True,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,valid,0.327916992926995,0.09896445264759084,least_squares,255,None,100,2,7,loss,1e-07,0.3111309300472759,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+211,no_encoding,no_coalescense,,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,180.22479438529933,,,0.0012571604901280202,0.10272820821863678,rbf,-1,False,0.02945259690926852,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+213,one_hot_encoding,minority_coalescer,0.014339959628553693,most_frequent,standardize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,True,,,,,,,,,,,,,sgd,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,4.8547880184275584e-05,True,0.09563670720196799,0.014559866208729597,True,,invscaling,epsilon_insensitive,l1,0.13583279480857163,0.00012816751859526018,feature_type
+217,one_hot_encoding,minority_coalescer,0.00013426375251483367,mean,quantile_transformer,1000,normal,,,extra_trees_preproc_for_regression,False,mae,None,0.9485456391530016,None,2,11,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,mae,None,1.0,None,0.0,1,5,0.0,,,,,,,,,,,,feature_type
+219,no_encoding,minority_coalescer,0.01943518864702716,mean,minmax,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.19219901458178226,fpr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,valid,0.13669968231796129,0.4353151247757148,least_squares,255,None,80,67,14,loss,1e-07,0.044680427745856566,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+224,one_hot_encoding,no_coalescense,,median,quantile_transformer,1016,uniform,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.3992671482410072,fpr,f_regression,extra_trees,,,,,,,,,,,,,,,,,,,,,True,mse,None,0.2477939208870194,None,0.0,2,4,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+227,no_encoding,minority_coalescer,0.04976647818875639,mean,robust_scaler,,,0.7496554606439986,0.21900339643120248,feature_agglomeration,,,,,,,,,,,,,,euclidean,complete,31,max,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,mse,None,0.9373461778146084,None,0.0,1,2,0.0,,,,,,,,,,,,feature_type
+228,no_encoding,minority_coalescer,0.0005112414168823774,median,standardize,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.4807408968132736,fdr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,5.775517309881741e-08,0.020024969424259676,least_squares,255,None,156,85,16,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+232,no_encoding,no_coalescense,,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,False,,,,,,,,,,,,,sgd,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.0006517033225329654,False,0.012150149892783745,0.016444224834275295,True,1.7462342366289323e-09,invscaling,epsilon_insensitive,elasticnet,0.21521743568582094,0.002431731981071206,feature_type
+234,no_encoding,minority_coalescer,0.00104103393087551,mean,standardize,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.03987312851206322,0.00027703072510082584,1116.9802212627676,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+237,no_encoding,minority_coalescer,0.007741331259480108,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.020932011717701825,7.512295484675918e-08,427.92917011793116,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+240,no_encoding,minority_coalescer,0.016767569924572498,mean,standardize,,,,,extra_trees_preproc_for_regression,True,mse,None,1.0,None,1,4,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.01114234288871711,2.051184689945752e-07,16.033192975742793,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+243,one_hot_encoding,no_coalescense,,most_frequent,none,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.17117168806134755,fpr,f_regression,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.014512997078108282,2.3840234103129553e-05,4588.288936194533,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+247,one_hot_encoding,minority_coalescer,0.014192135928954746,median,standardize,,,,,fast_ica,,,,,,,,,,deflation,exp,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1.4272136443763257,0.2694141260648879,2,0.10000000000000006,0.05757315877344016,poly,-1,False,0.0010000000000000002,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+249,one_hot_encoding,minority_coalescer,0.002291266242901915,most_frequent,standardize,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,mse,None,0.9838295541249756,None,0.0,4,9,0.0,,,,,,,,,,,,feature_type
+252,one_hot_encoding,minority_coalescer,0.0001745391328519669,most_frequent,robust_scaler,,,0.8057830372269097,0.24982831110057324,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.3621762718897781,fwe,f_regression,ard_regression,,,,,2.7664515192592053e-05,9.504988116581138e-07,True,6.50650698230178e-09,4.238533890074848e-07,300,78251.58542976103,0.0007301343236220855,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+257,one_hot_encoding,minority_coalescer,0.0216783950539192,mean,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,0.00010889929093369623,0.013461560146088193,least_squares,255,None,922,78,19,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+258,no_encoding,minority_coalescer,0.09382570527264746,most_frequent,robust_scaler,,,0.7371688778157178,0.2787239315402732,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,ard_regression,,,,,0.0004011707126241623,0.00043076459083384017,True,1.4497912759357727e-08,5.5191094555400335e-05,300,1906.0574184995257,4.362118572358691e-05,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+261,one_hot_encoding,minority_coalescer,0.06060922445200678,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,False,,,,,,,,,,,,,ard_regression,,,,,0.0008174368913886637,1.7875823585609458e-07,True,3.571262743428141e-07,4.14818291023703e-09,300,23257.23600441506,0.016014365114117364,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+265,one_hot_encoding,no_coalescense,,mean,standardize,,,,,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,24.560906712337708,f_regression,,,,decision_tree,,,,,,,,,,,,,mae,0.8468780775417923,1.0,None,0.0,9,17,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+267,no_encoding,no_coalescense,,median,none,,,,,pca,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.5978082797440822,True,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1.737104302980724,-0.22262956416372015,,0.01762287049050619,,sigmoid,-1,True,0.0002849301132395629,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+270,one_hot_encoding,no_coalescense,,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,False,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.03958214337031283,5.078705377926443e-07,1766.8717059746273,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+275,one_hot_encoding,no_coalescense,,most_frequent,quantile_transformer,67,uniform,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,False,mse,None,1.0,None,0.0,12,3,0.0,,,,,,,,,,,,feature_type
+278,one_hot_encoding,minority_coalescer,0.09205870929132008,most_frequent,normalize,,,,,feature_agglomeration,,,,,,,,,,,,,,euclidean,ward,148,median,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,adaboost,0.035013789031210156,square,8,126,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+279,no_encoding,minority_coalescer,0.4873131661139947,mean,standardize,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.43441750135120694,fpr,f_regression,k_nearest_neighbors,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,2,distance,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+282,no_encoding,minority_coalescer,0.004113130505243843,most_frequent,none,,,,,extra_trees_preproc_for_regression,True,mae,None,0.8369649994277156,None,8,19,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.04144129277528442,2.0039230791934377e-06,49341.759561854764,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+285,no_encoding,no_coalescense,,mean,minmax,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.2186105871515939,fdr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,0.10377482408306521,0.016255400771699312,least_squares,255,None,65,70,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
diff --git a/autosklearn/metalearning/files/mean_squared_log_error_regression_sparse/configurations.csv b/autosklearn/metalearning/files/mean_squared_log_error_regression_sparse/configurations.csv
index d1a42e8ce7..3e3ac77027 100644
--- a/autosklearn/metalearning/files/mean_squared_log_error_regression_sparse/configurations.csv
+++ b/autosklearn/metalearning/files/mean_squared_log_error_regression_sparse/configurations.csv
@@ -1,98 +1,98 @@
-idx,data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__,data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__,data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction,data_preprocessor:feature_type:numerical_transformer:imputation:strategy,data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__,data_preprocessor:feature_type:numerical_transformer:rescaling:quantile_transformer:n_quantiles,data_preprocessor:feature_type:numerical_transformer:rescaling:quantile_transformer:output_distribution,data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_max,data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_min,feature_preprocessor:__choice__,feature_preprocessor:extra_trees_preproc_for_regression:bootstrap,feature_preprocessor:extra_trees_preproc_for_regression:criterion,feature_preprocessor:extra_trees_preproc_for_regression:max_depth,feature_preprocessor:extra_trees_preproc_for_regression:max_features,feature_preprocessor:extra_trees_preproc_for_regression:max_leaf_nodes,feature_preprocessor:extra_trees_preproc_for_regression:min_samples_leaf,feature_preprocessor:extra_trees_preproc_for_regression:min_samples_split,feature_preprocessor:extra_trees_preproc_for_regression:min_weight_fraction_leaf,feature_preprocessor:extra_trees_preproc_for_regression:n_estimators,feature_preprocessor:fast_ica:algorithm,feature_preprocessor:fast_ica:fun,feature_preprocessor:fast_ica:n_components,feature_preprocessor:fast_ica:whiten,feature_preprocessor:feature_agglomeration:affinity,feature_preprocessor:feature_agglomeration:linkage,feature_preprocessor:feature_agglomeration:n_clusters,feature_preprocessor:feature_agglomeration:pooling_func,feature_preprocessor:kernel_pca:coef0,feature_preprocessor:kernel_pca:degree,feature_preprocessor:kernel_pca:gamma,feature_preprocessor:kernel_pca:kernel,feature_preprocessor:kernel_pca:n_components,feature_preprocessor:kitchen_sinks:gamma,feature_preprocessor:kitchen_sinks:n_components,feature_preprocessor:nystroem_sampler:coef0,feature_preprocessor:nystroem_sampler:degree,feature_preprocessor:nystroem_sampler:gamma,feature_preprocessor:nystroem_sampler:kernel,feature_preprocessor:nystroem_sampler:n_components,feature_preprocessor:pca:keep_variance,feature_preprocessor:pca:whiten,feature_preprocessor:polynomial:degree,feature_preprocessor:polynomial:include_bias,feature_preprocessor:polynomial:interaction_only,feature_preprocessor:random_trees_embedding:bootstrap,feature_preprocessor:random_trees_embedding:max_depth,feature_preprocessor:random_trees_embedding:max_leaf_nodes,feature_preprocessor:random_trees_embedding:min_samples_leaf,feature_preprocessor:random_trees_embedding:min_samples_split,feature_preprocessor:random_trees_embedding:min_weight_fraction_leaf,feature_preprocessor:random_trees_embedding:n_estimators,feature_preprocessor:select_percentile_regression:percentile,feature_preprocessor:select_percentile_regression:score_func,feature_preprocessor:select_rates_regression:alpha,feature_preprocessor:select_rates_regression:mode,feature_preprocessor:select_rates_regression:score_func,regressor:__choice__,regressor:adaboost:learning_rate,regressor:adaboost:loss,regressor:adaboost:max_depth,regressor:adaboost:n_estimators,regressor:ard_regression:alpha_1,regressor:ard_regression:alpha_2,regressor:ard_regression:fit_intercept,regressor:ard_regression:lambda_1,regressor:ard_regression:lambda_2,regressor:ard_regression:n_iter,regressor:ard_regression:threshold_lambda,regressor:ard_regression:tol,regressor:decision_tree:criterion,regressor:decision_tree:max_depth_factor,regressor:decision_tree:max_features,regressor:decision_tree:max_leaf_nodes,regressor:decision_tree:min_impurity_decrease,regressor:decision_tree:min_samples_leaf,regressor:decision_tree:min_samples_split,regressor:decision_tree:min_weight_fraction_leaf,regressor:extra_trees:bootstrap,regressor:extra_trees:criterion,regressor:extra_trees:max_depth,regressor:extra_trees:max_features,regressor:extra_trees:max_leaf_nodes,regressor:extra_trees:min_impurity_decrease,regressor:extra_trees:min_samples_leaf,regressor:extra_trees:min_samples_split,regressor:extra_trees:min_weight_fraction_leaf,regressor:gaussian_process:alpha,regressor:gaussian_process:thetaL,regressor:gaussian_process:thetaU,regressor:gradient_boosting:early_stop,regressor:gradient_boosting:l2_regularization,regressor:gradient_boosting:learning_rate,regressor:gradient_boosting:loss,regressor:gradient_boosting:max_bins,regressor:gradient_boosting:max_depth,regressor:gradient_boosting:max_leaf_nodes,regressor:gradient_boosting:min_samples_leaf,regressor:gradient_boosting:n_iter_no_change,regressor:gradient_boosting:scoring,regressor:gradient_boosting:tol,regressor:gradient_boosting:validation_fraction,regressor:k_nearest_neighbors:n_neighbors,regressor:k_nearest_neighbors:p,regressor:k_nearest_neighbors:weights,regressor:liblinear_svr:C,regressor:liblinear_svr:dual,regressor:liblinear_svr:epsilon,regressor:liblinear_svr:fit_intercept,regressor:liblinear_svr:intercept_scaling,regressor:liblinear_svr:loss,regressor:liblinear_svr:tol,regressor:libsvm_svr:C,regressor:libsvm_svr:coef0,regressor:libsvm_svr:degree,regressor:libsvm_svr:epsilon,regressor:libsvm_svr:gamma,regressor:libsvm_svr:kernel,regressor:libsvm_svr:max_iter,regressor:libsvm_svr:shrinking,regressor:libsvm_svr:tol,regressor:mlp:activation,regressor:mlp:alpha,regressor:mlp:batch_size,regressor:mlp:beta_1,regressor:mlp:beta_2,regressor:mlp:early_stopping,regressor:mlp:epsilon,regressor:mlp:hidden_layer_depth,regressor:mlp:learning_rate_init,regressor:mlp:n_iter_no_change,regressor:mlp:num_nodes_per_layer,regressor:mlp:shuffle,regressor:mlp:solver,regressor:mlp:tol,regressor:mlp:validation_fraction,regressor:random_forest:bootstrap,regressor:random_forest:criterion,regressor:random_forest:max_depth,regressor:random_forest:max_features,regressor:random_forest:max_leaf_nodes,regressor:random_forest:min_impurity_decrease,regressor:random_forest:min_samples_leaf,regressor:random_forest:min_samples_split,regressor:random_forest:min_weight_fraction_leaf,regressor:sgd:alpha,regressor:sgd:average,regressor:sgd:epsilon,regressor:sgd:eta0,regressor:sgd:fit_intercept,regressor:sgd:l1_ratio,regressor:sgd:learning_rate,regressor:sgd:loss,regressor:sgd:penalty,regressor:sgd:power_t,regressor:sgd:tol,data_preprocessor:__choice__
-1,no_encoding,minority_coalescer,0.19528306404468637,mean,quantile_transformer,1012,normal,,,feature_agglomeration,,,,,,,,,,,,,,euclidean,ward,19,max,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.0036015747006128023,2.958116238190801e-10,1648.7454294729528,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-4,no_encoding,minority_coalescer,0.054221315715325895,most_frequent,standardize,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,mlp,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,tanh,7.818770024985629e-06,auto,0.9,0.999,train,1e-08,1,0.0007351998566408443,32,124,True,adam,0.0001,,,,,,,,,,,,,,,,,,,,,,feature_type
-7,one_hot_encoding,no_coalescense,,most_frequent,quantile_transformer,809,uniform,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,True,,,,,,,,,,,,,sgd,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.01806079811541296,False,,0.015540128437738566,True,0.9326390049807726,constant,squared_loss,elasticnet,,0.00010576654619459039,feature_type
-10,one_hot_encoding,minority_coalescer,0.00010349207190621693,mean,quantile_transformer,229,normal,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.055967923991199715,1.8694491708470566e-10,1.8954846844548174,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-13,one_hot_encoding,no_coalescense,,mean,none,,,,,extra_trees_preproc_for_regression,False,mae,None,0.9005220528852804,None,18,19,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,mlp,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,relu,1.4422002266493963e-06,auto,0.9,0.999,train,1e-08,3,0.00010147904733612964,32,102,True,adam,0.0001,,,,,,,,,,,,,,,,,,,,,,feature_type
-17,one_hot_encoding,minority_coalescer,0.010250361463446604,mean,minmax,,,,,fast_ica,,,,,,,,,,parallel,exp,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,194.03096694114694,,3,0.0010214279074797082,0.20113065159176252,rbf,-1,True,0.0206281932709369,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-19,one_hot_encoding,minority_coalescer,0.0013057623156653984,median,robust_scaler,,,0.7384386306109247,0.13619830011156256,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,47.935402876904554,f_regression,,,,sgd,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3.1920798638358104e-06,True,0.1,2.5662550861454332e-06,True,,invscaling,squared_epsilon_insensitive,l2,0.16443692558514034,7.823786229838958e-05,feature_type
-24,no_encoding,no_coalescense,,mean,quantile_transformer,921,uniform,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.18833155459762518,fdr,f_regression,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1.7244875831624983e-11,1.7692546384341245e-08,2136.489365016044,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-25,no_encoding,minority_coalescer,0.008685068966137644,mean,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,valid,9.509076564526025e-10,0.10000000000000002,least_squares,255,None,43,16,15,loss,1e-07,0.11989931650613757,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-28,no_encoding,minority_coalescer,0.00397868572473159,mean,robust_scaler,,,0.7840854273341944,0.11376189722146844,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,k_nearest_neighbors,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,20,2,distance,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-31,one_hot_encoding,minority_coalescer,0.00011833657936902366,median,robust_scaler,,,0.9620122536055723,0.041640861521144046,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,11.840099182386703,mutual_info,,,,ard_regression,,,,,0.00010000597343918577,9.119287544292207e-06,True,3.857095107208989e-05,2.2152513731755446e-09,300,1149.097005419999,0.07291173569179792,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-34,one_hot_encoding,no_coalescense,,most_frequent,quantile_transformer,952,uniform,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,1.8428972335335263e-10,0.012607824914758717,least_squares,255,None,10,8,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-38,no_encoding,minority_coalescer,0.16100794776610894,median,robust_scaler,,,0.7171413959739553,0.13004136466339758,feature_agglomeration,,,,,,,,,,,,,,euclidean,complete,170,mean,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,False,mae,None,0.35533840599344335,None,0.0,4,3,0.0,,,,,,,,,,,,feature_type
-40,no_encoding,no_coalescense,,mean,normalize,,,,,fast_ica,,,,,,,,,,parallel,logcosh,1204,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,adaboost,0.027276717840410566,square,9,374,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-45,one_hot_encoding,no_coalescense,,most_frequent,robust_scaler,,,0.9547830281251513,0.2818601517145067,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,liblinear_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.8238476287807213,False,0.06889689389306164,True,1,squared_epsilon_insensitive,0.007803766455854209,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-46,no_encoding,no_coalescense,,mean,minmax,,,,,fast_ica,,,,,,,,,,deflation,logcosh,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,12959.890271609733,,2,0.0026974286973887795,5.6258313008635,rbf,-1,False,0.006461735597762997,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-50,one_hot_encoding,no_coalescense,,mean,none,,,,,feature_agglomeration,,,,,,,,,,,,,,manhattan,average,189,mean,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,True,mse,None,0.625928697925399,None,0.0,13,17,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-54,one_hot_encoding,minority_coalescer,0.03327108471043405,mean,minmax,,,,,fast_ica,,,,,,,,,,deflation,exp,100,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,mse,None,1.0,None,0.0,3,4,0.0,,,,,,,,,,,,feature_type
-56,one_hot_encoding,minority_coalescer,0.00045833372603169316,most_frequent,minmax,,,,,random_trees_embedding,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,False,4,None,5,13,1.0,95,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,False,mae,None,0.7632599342253943,None,0.0,6,3,0.0,,,,,,,,,,,,feature_type
-58,one_hot_encoding,no_coalescense,,median,standardize,,,,,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,22.538520410186127,f_regression,,,,liblinear_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.036388789196735646,False,0.0012739627397164333,True,1,squared_epsilon_insensitive,0.020180468804448126,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-62,no_encoding,minority_coalescer,0.012569841099741286,mean,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,False,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,friedman_mse,None,0.849869957463498,None,0.0,1,7,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-66,no_encoding,minority_coalescer,0.00016754269505428354,median,quantile_transformer,170,uniform,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mse,None,0.6962692885049272,None,0.0,17,17,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-69,no_encoding,minority_coalescer,0.005916160439507675,median,robust_scaler,,,0.7573862080172087,0.23248564130335703,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,mse,None,0.9576560462788346,None,0.0,1,2,0.0,,,,,,,,,,,,feature_type
-71,one_hot_encoding,minority_coalescer,0.009257498949520307,most_frequent,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.44961973382556947,,,0.09740809652741539,,linear,-1,False,0.0017432165166466219,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-74,no_encoding,minority_coalescer,0.0411371732037623,most_frequent,standardize,,,,,fast_ica,,,,,,,,,,deflation,exp,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.03920815396184238,1.5339339840662385e-06,12835.896109095504,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-76,no_encoding,minority_coalescer,0.01776348615812144,mean,robust_scaler,,,0.7531696951574762,0.26584579918469997,fast_ica,,,,,,,,,,deflation,cube,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,mlp,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,relu,1.740596891332215e-06,auto,0.9,0.999,valid,1e-08,2,0.004884964756762577,32,214,True,adam,0.0001,0.1,,,,,,,,,,,,,,,,,,,,,feature_type
-79,no_encoding,minority_coalescer,0.06321015319850315,mean,minmax,,,,,fast_ica,,,,,,,,,,parallel,exp,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1748.6495214510217,0.6139955830104578,5,0.2904841027866532,0.03681269777162136,poly,-1,False,0.048525035127205005,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-82,no_encoding,minority_coalescer,0.05607310321489163,mean,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,28831.968873651404,0.39386733846748023,3,0.12370783564202235,0.0026233747431769617,poly,-1,True,4.714268123196739e-05,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-86,one_hot_encoding,minority_coalescer,0.09829149530888974,median,robust_scaler,,,0.9428003410291076,0.21757879968576752,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,ard_regression,,,,,0.00047704082924845395,0.00032653628819910504,True,1.1948865170434934e-05,1.3225878459315499e-08,300,8355.350995742332,0.05053571954916396,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-88,one_hot_encoding,no_coalescense,,most_frequent,minmax,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,friedman_mse,None,0.9456069656982452,None,0.0,1,2,0.0,,,,,,,,,,,,feature_type
-91,no_encoding,no_coalescense,,mean,normalize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,k_nearest_neighbors,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1,2,uniform,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-93,one_hot_encoding,no_coalescense,,most_frequent,quantile_transformer,1148,uniform,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.14778326778462142,fpr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,1.7962284970386197e-10,0.05156555327055447,least_squares,255,None,35,12,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-98,no_encoding,no_coalescense,,mean,robust_scaler,,,0.7010465420634562,0.19032833128592427,feature_agglomeration,,,,,,,,,,,,,,euclidean,ward,31,max,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,friedman_mse,None,0.7612289466695656,None,0.0,1,2,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-100,one_hot_encoding,minority_coalescer,0.0004074198580703139,mean,robust_scaler,,,0.9330606970563508,0.2761356138672697,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,adaboost,0.028345285546561846,linear,10,174,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-102,no_encoding,minority_coalescer,0.00829519231049576,mean,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,ard_regression,,,,,4.7044575285722365e-05,0.000629863807127318,True,7.584067704707025e-10,3.923255608410879e-08,300,4052.403778957396,0.009359388994186051,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-105,one_hot_encoding,no_coalescense,,median,none,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.4686252124441843,fpr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,valid,0.0038606936054114,0.020266625124044115,least_squares,255,None,458,158,18,loss,1e-07,0.27775972890692574,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-107,no_encoding,no_coalescense,,mean,robust_scaler,,,0.7727512096172742,0.22461598115758682,feature_agglomeration,,,,,,,,,,,,,,manhattan,complete,21,max,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,2.208787572338781e-05,0.036087332404571744,least_squares,255,None,64,3,18,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-110,no_encoding,minority_coalescer,0.0006869013905922761,mean,quantile_transformer,1352,normal,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.07357548990881542,fpr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,3.20414911914726e-10,0.1279702444496931,least_squares,255,None,63,19,8,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-114,no_encoding,minority_coalescer,0.0003158899599773715,most_frequent,normalize,,,,,feature_agglomeration,,,,,,,,,,,,,,euclidean,complete,253,median,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mae,None,0.7401627697020776,None,0.0,3,14,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-117,no_encoding,no_coalescense,,most_frequent,none,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.2031136218970144,,,0.340528001967228,,linear,-1,False,4.070347915643521e-05,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-119,no_encoding,minority_coalescer,0.002271318766767127,median,quantile_transformer,547,uniform,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,mae,None,0.8193894465766905,None,0.0,2,17,0.0,,,,,,,,,,,,feature_type
-124,no_encoding,no_coalescense,,most_frequent,quantile_transformer,1567,uniform,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,friedman_mse,None,1.0,None,0.0,5,2,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-126,no_encoding,minority_coalescer,0.010222641912650656,median,quantile_transformer,1092,uniform,,,feature_agglomeration,,,,,,,,,,,,,,euclidean,ward,59,mean,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,adaboost,0.010571278032840276,linear,10,116,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-128,one_hot_encoding,no_coalescense,,most_frequent,quantile_transformer,1040,uniform,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,1.27381234568573e-07,0.02758260805263155,least_squares,255,None,57,5,1,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-131,no_encoding,minority_coalescer,0.0026150904111835473,mean,normalize,,,,,pca,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.5410109609735668,True,,,,,,,,,,,,,,,,decision_tree,,,,,,,,,,,,,friedman_mse,1.240365240027156,1.0,None,0.0,19,11,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-135,no_encoding,minority_coalescer,0.00029916315779804966,median,quantile_transformer,894,uniform,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,5.348575844106585e-11,3.2802014300155454e-06,3027.1156250557783,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-137,one_hot_encoding,minority_coalescer,0.17155533674405296,most_frequent,minmax,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.04620436030152636,0.0002826448059048065,992.7876887853456,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-140,no_encoding,no_coalescense,,median,minmax,,,,,feature_agglomeration,,,,,,,,,,,,,,euclidean,average,272,median,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mse,None,0.5120356089629183,None,0.0,1,4,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-143,no_encoding,no_coalescense,,median,robust_scaler,,,0.7889051141669929,0.2253427527717258,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.3527536326193086,fdr,f_regression,extra_trees,,,,,,,,,,,,,,,,,,,,,True,mae,None,0.8877409763106398,None,0.0,10,3,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-148,no_encoding,no_coalescense,,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,ard_regression,,,,,0.0005879259823371087,3.410007832100047e-07,True,1.6597956274062097e-05,9.910691609164284e-10,300,2203.910297381356,0.006471761365578467,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-150,no_encoding,no_coalescense,,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mse,None,0.9797793053686011,None,0.0,1,4,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-153,one_hot_encoding,minority_coalescer,0.00013899061331455512,mean,minmax,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.19203734614573903,fdr,f_regression,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.28764734226521,1.5934220315148466e-07,59443.23501615305,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-154,no_encoding,minority_coalescer,0.008570597554507026,mean,none,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,mse,None,0.9098871393070471,None,0.0,1,2,0.0,,,,,,,,,,,,feature_type
-159,one_hot_encoding,minority_coalescer,0.008494856931473163,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,False,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.00037081737393889196,0.0006267702361019145,13.752901559664084,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-162,one_hot_encoding,minority_coalescer,0.010000000000000004,mean,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,friedman_mse,None,0.9833970457216187,None,0.0,2,2,0.0,,,,,,,,,,,,feature_type
-163,one_hot_encoding,minority_coalescer,0.018112600861325767,most_frequent,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.08159282928354238,8.625307386344728e-08,65.48869509665326,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-167,no_encoding,no_coalescense,,median,robust_scaler,,,0.843129351775309,0.033590245583939284,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,friedman_mse,None,0.7024447901011698,None,0.0,2,15,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-171,one_hot_encoding,no_coalescense,,mean,quantile_transformer,268,uniform,,,feature_agglomeration,,,,,,,,,,,,,,euclidean,average,107,median,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.42928092501196696,1.4435895787652725e-07,8.108685026706572,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-172,no_encoding,no_coalescense,,mean,standardize,,,,,feature_agglomeration,,,,,,,,,,,,,,manhattan,complete,385,mean,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,sgd,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1.238055706285357e-06,True,0.0035413980064916656,,True,,optimal,epsilon_insensitive,l2,,8.385117758196218e-05,feature_type
-176,one_hot_encoding,minority_coalescer,0.019566163649872924,most_frequent,robust_scaler,,,0.7200608810425068,0.22968043330398744,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.18539282936320728,fwe,f_regression,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mae,None,0.9029989558220115,None,0.0,1,2,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-178,no_encoding,minority_coalescer,0.2167319402461091,mean,quantile_transformer,1000,uniform,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.45870554101260114,fpr,f_regression,sgd,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.002933121397771544,False,0.009964658655519253,,True,0.14999999999999974,optimal,epsilon_insensitive,elasticnet,,3.708169053960741e-05,feature_type
-182,one_hot_encoding,minority_coalescer,0.006514462620801008,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,0.00956904848708048,0.028094986340152454,least_squares,255,None,154,13,20,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-184,no_encoding,no_coalescense,,mean,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,False,,,,,,,,,,,,,ard_regression,,,,,0.00015485569335015024,5.177331116710886e-07,True,1.749057118338389e-07,3.0624484035937795e-09,300,12306.96029514458,2.0202229877767396e-05,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-186,no_encoding,minority_coalescer,0.010515112787842862,most_frequent,quantile_transformer,583,uniform,,,feature_agglomeration,,,,,,,,,,,,,,euclidean,average,5,mean,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.00015169626319121407,0.0006853872700383563,80227.86048666916,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-189,no_encoding,minority_coalescer,0.042447196977431316,most_frequent,minmax,,,,,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,32.125031211228716,f_regression,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.0017749279098074491,1.0426968473759477e-05,4564.7519789609605,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-193,no_encoding,no_coalescense,,mean,robust_scaler,,,0.7677833621565118,0.25759436171066835,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,valid,1e-10,0.026111542610815466,least_squares,255,None,229,36,13,loss,1e-07,0.13728453982467612,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-195,no_encoding,minority_coalescer,0.02451767690464501,mean,standardize,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.09732187826438828,fpr,f_regression,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.014777084048994575,2.286200540779987e-09,9302.444837996962,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-200,one_hot_encoding,no_coalescense,,mean,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,friedman_mse,None,0.9663287705959869,None,0.0,3,10,0.0,,,,,,,,,,,,feature_type
-201,one_hot_encoding,no_coalescense,,mean,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,2.093528627734622e-10,0.056993947028442245,least_squares,255,None,96,7,20,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-204,no_encoding,minority_coalescer,0.0026150904111835473,mean,normalize,,,,,pca,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.5410109609735668,True,,,,,,,,,,,,,,,,decision_tree,,,,,,,,,,,,,friedman_mse,1.240365240027156,1.0,None,0.0,19,11,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-208,no_encoding,no_coalescense,,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,True,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,valid,0.327916992926995,0.09896445264759084,least_squares,255,None,100,2,7,loss,1e-07,0.3111309300472759,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-211,no_encoding,no_coalescense,,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,180.22479438529933,,4,0.0012571604901280202,0.10272820821863678,rbf,-1,False,0.02945259690926852,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-213,one_hot_encoding,minority_coalescer,0.014339959628553693,most_frequent,standardize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,True,,,,,,,,,,,,,sgd,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,4.8547880184275584e-05,True,0.09563670720196799,0.014559866208729597,True,,invscaling,epsilon_insensitive,l1,0.13583279480857163,0.00012816751859526018,feature_type
-217,one_hot_encoding,minority_coalescer,0.00013426375251483367,mean,quantile_transformer,1000,normal,,,extra_trees_preproc_for_regression,False,mae,None,0.9485456391530016,None,2,11,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,mae,None,1.0,None,0.0,1,5,0.0,,,,,,,,,,,,feature_type
-219,no_encoding,minority_coalescer,0.01943518864702716,mean,minmax,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.19219901458178226,fpr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,valid,0.13669968231796129,0.4353151247757148,least_squares,255,None,80,67,14,loss,1e-07,0.044680427745856566,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-224,one_hot_encoding,no_coalescense,,median,quantile_transformer,1016,uniform,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.3992671482410072,fpr,f_regression,extra_trees,,,,,,,,,,,,,,,,,,,,,True,mse,None,0.2477939208870194,None,0.0,2,4,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-227,no_encoding,minority_coalescer,0.04976647818875639,mean,robust_scaler,,,0.7496554606439986,0.21900339643120248,feature_agglomeration,,,,,,,,,,,,,,euclidean,complete,31,max,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,mse,None,0.9373461778146084,None,0.0,1,2,0.0,,,,,,,,,,,,feature_type
-228,no_encoding,minority_coalescer,0.0005112414168823774,median,standardize,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.4807408968132736,fdr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,5.775517309881741e-08,0.020024969424259676,least_squares,255,None,156,85,16,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-232,no_encoding,no_coalescense,,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,False,,,,,,,,,,,,,sgd,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.0006517033225329654,False,0.012150149892783745,0.016444224834275295,True,1.7462342366289323e-09,invscaling,epsilon_insensitive,elasticnet,0.21521743568582094,0.002431731981071206,feature_type
-234,no_encoding,minority_coalescer,0.00104103393087551,mean,standardize,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.03987312851206322,0.00027703072510082584,1116.9802212627676,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-237,no_encoding,minority_coalescer,0.007741331259480108,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.020932011717701825,7.512295484675918e-08,427.92917011793116,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-240,no_encoding,minority_coalescer,0.016767569924572498,mean,standardize,,,,,extra_trees_preproc_for_regression,True,mse,None,1.0,None,1,4,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.01114234288871711,2.051184689945752e-07,16.033192975742793,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-243,one_hot_encoding,no_coalescense,,most_frequent,none,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.17117168806134755,fpr,f_regression,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.014512997078108282,2.3840234103129553e-05,4588.288936194533,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-247,one_hot_encoding,minority_coalescer,0.014192135928954746,median,standardize,,,,,fast_ica,,,,,,,,,,deflation,exp,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1.4272136443763257,0.2694141260648879,2,0.10000000000000006,0.05757315877344016,poly,-1,False,0.0010000000000000002,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-249,one_hot_encoding,minority_coalescer,0.002291266242901915,most_frequent,standardize,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,mse,None,0.9838295541249756,None,0.0,4,9,0.0,,,,,,,,,,,,feature_type
-252,one_hot_encoding,minority_coalescer,0.0001745391328519669,most_frequent,robust_scaler,,,0.8057830372269097,0.24982831110057324,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.3621762718897781,fwe,f_regression,ard_regression,,,,,2.7664515192592053e-05,9.504988116581138e-07,True,6.50650698230178e-09,4.238533890074848e-07,300,78251.58542976103,0.0007301343236220855,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-257,one_hot_encoding,minority_coalescer,0.0216783950539192,mean,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,0.00010889929093369623,0.013461560146088193,least_squares,255,None,922,78,19,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-258,no_encoding,minority_coalescer,0.09382570527264746,most_frequent,robust_scaler,,,0.7371688778157178,0.2787239315402732,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,ard_regression,,,,,0.0004011707126241623,0.00043076459083384017,True,1.4497912759357727e-08,5.5191094555400335e-05,300,1906.0574184995257,4.362118572358691e-05,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-261,one_hot_encoding,minority_coalescer,0.06060922445200678,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,False,,,,,,,,,,,,,ard_regression,,,,,0.0008174368913886637,1.7875823585609458e-07,True,3.571262743428141e-07,4.14818291023703e-09,300,23257.23600441506,0.016014365114117364,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-265,one_hot_encoding,no_coalescense,,mean,standardize,,,,,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,24.560906712337708,f_regression,,,,decision_tree,,,,,,,,,,,,,mae,0.8468780775417923,1.0,None,0.0,9,17,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-267,no_encoding,no_coalescense,,median,none,,,,,pca,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.5978082797440822,True,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1.737104302980724,-0.22262956416372015,5,0.01762287049050619,,sigmoid,-1,True,0.0002849301132395629,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-270,one_hot_encoding,no_coalescense,,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,False,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.03958214337031283,5.078705377926443e-07,1766.8717059746273,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-275,one_hot_encoding,no_coalescense,,most_frequent,quantile_transformer,67,uniform,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,False,mse,None,1.0,None,0.0,12,3,0.0,,,,,,,,,,,,feature_type
-278,one_hot_encoding,minority_coalescer,0.09205870929132008,most_frequent,normalize,,,,,feature_agglomeration,,,,,,,,,,,,,,euclidean,ward,148,median,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,adaboost,0.035013789031210156,square,8,126,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-279,no_encoding,minority_coalescer,0.4873131661139947,mean,standardize,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.43441750135120694,fpr,f_regression,k_nearest_neighbors,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,2,distance,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-282,no_encoding,minority_coalescer,0.004113130505243843,most_frequent,none,,,,,extra_trees_preproc_for_regression,True,mae,None,0.8369649994277156,None,8,19,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.04144129277528442,2.0039230791934377e-06,49341.759561854764,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-285,no_encoding,no_coalescense,,mean,minmax,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.2186105871515939,fdr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,0.10377482408306521,0.016255400771699312,least_squares,255,None,65,70,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+idx,data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__,data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__,data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction,data_preprocessor:feature_type:numerical_transformer:imputation:strategy,data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__,data_preprocessor:feature_type:numerical_transformer:rescaling:quantile_transformer:n_quantiles,data_preprocessor:feature_type:numerical_transformer:rescaling:quantile_transformer:output_distribution,data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_max,data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_min,feature_preprocessor:__choice__,feature_preprocessor:extra_trees_preproc_for_regression:bootstrap,feature_preprocessor:extra_trees_preproc_for_regression:criterion,feature_preprocessor:extra_trees_preproc_for_regression:max_depth,feature_preprocessor:extra_trees_preproc_for_regression:max_features,feature_preprocessor:extra_trees_preproc_for_regression:max_leaf_nodes,feature_preprocessor:extra_trees_preproc_for_regression:min_samples_leaf,feature_preprocessor:extra_trees_preproc_for_regression:min_samples_split,feature_preprocessor:extra_trees_preproc_for_regression:min_weight_fraction_leaf,feature_preprocessor:extra_trees_preproc_for_regression:n_estimators,feature_preprocessor:fast_ica:algorithm,feature_preprocessor:fast_ica:fun,feature_preprocessor:fast_ica:n_components,feature_preprocessor:fast_ica:whiten,feature_preprocessor:feature_agglomeration:affinity,feature_preprocessor:feature_agglomeration:linkage,feature_preprocessor:feature_agglomeration:n_clusters,feature_preprocessor:feature_agglomeration:pooling_func,feature_preprocessor:kernel_pca:coef0,feature_preprocessor:kernel_pca:degree,feature_preprocessor:kernel_pca:gamma,feature_preprocessor:kernel_pca:kernel,feature_preprocessor:kernel_pca:n_components,feature_preprocessor:kitchen_sinks:gamma,feature_preprocessor:kitchen_sinks:n_components,feature_preprocessor:nystroem_sampler:coef0,feature_preprocessor:nystroem_sampler:degree,feature_preprocessor:nystroem_sampler:gamma,feature_preprocessor:nystroem_sampler:kernel,feature_preprocessor:nystroem_sampler:n_components,feature_preprocessor:pca:keep_variance,feature_preprocessor:pca:whiten,feature_preprocessor:polynomial:degree,feature_preprocessor:polynomial:include_bias,feature_preprocessor:polynomial:interaction_only,feature_preprocessor:random_trees_embedding:bootstrap,feature_preprocessor:random_trees_embedding:max_depth,feature_preprocessor:random_trees_embedding:max_leaf_nodes,feature_preprocessor:random_trees_embedding:min_samples_leaf,feature_preprocessor:random_trees_embedding:min_samples_split,feature_preprocessor:random_trees_embedding:min_weight_fraction_leaf,feature_preprocessor:random_trees_embedding:n_estimators,feature_preprocessor:select_percentile_regression:percentile,feature_preprocessor:select_percentile_regression:score_func,feature_preprocessor:select_rates_regression:alpha,feature_preprocessor:select_rates_regression:mode,feature_preprocessor:select_rates_regression:score_func,regressor:__choice__,regressor:adaboost:learning_rate,regressor:adaboost:loss,regressor:adaboost:max_depth,regressor:adaboost:n_estimators,regressor:ard_regression:alpha_1,regressor:ard_regression:alpha_2,regressor:ard_regression:fit_intercept,regressor:ard_regression:lambda_1,regressor:ard_regression:lambda_2,regressor:ard_regression:n_iter,regressor:ard_regression:threshold_lambda,regressor:ard_regression:tol,regressor:decision_tree:criterion,regressor:decision_tree:max_depth_factor,regressor:decision_tree:max_features,regressor:decision_tree:max_leaf_nodes,regressor:decision_tree:min_impurity_decrease,regressor:decision_tree:min_samples_leaf,regressor:decision_tree:min_samples_split,regressor:decision_tree:min_weight_fraction_leaf,regressor:extra_trees:bootstrap,regressor:extra_trees:criterion,regressor:extra_trees:max_depth,regressor:extra_trees:max_features,regressor:extra_trees:max_leaf_nodes,regressor:extra_trees:min_impurity_decrease,regressor:extra_trees:min_samples_leaf,regressor:extra_trees:min_samples_split,regressor:extra_trees:min_weight_fraction_leaf,regressor:gaussian_process:alpha,regressor:gaussian_process:thetaL,regressor:gaussian_process:thetaU,regressor:gradient_boosting:early_stop,regressor:gradient_boosting:l2_regularization,regressor:gradient_boosting:learning_rate,regressor:gradient_boosting:loss,regressor:gradient_boosting:max_bins,regressor:gradient_boosting:max_depth,regressor:gradient_boosting:max_leaf_nodes,regressor:gradient_boosting:min_samples_leaf,regressor:gradient_boosting:n_iter_no_change,regressor:gradient_boosting:scoring,regressor:gradient_boosting:tol,regressor:gradient_boosting:validation_fraction,regressor:k_nearest_neighbors:n_neighbors,regressor:k_nearest_neighbors:p,regressor:k_nearest_neighbors:weights,regressor:liblinear_svr:C,regressor:liblinear_svr:dual,regressor:liblinear_svr:epsilon,regressor:liblinear_svr:fit_intercept,regressor:liblinear_svr:intercept_scaling,regressor:liblinear_svr:loss,regressor:liblinear_svr:tol,regressor:libsvm_svr:C,regressor:libsvm_svr:coef0,regressor:libsvm_svr:degree,regressor:libsvm_svr:epsilon,regressor:libsvm_svr:gamma,regressor:libsvm_svr:kernel,regressor:libsvm_svr:max_iter,regressor:libsvm_svr:shrinking,regressor:libsvm_svr:tol,regressor:mlp:activation,regressor:mlp:alpha,regressor:mlp:batch_size,regressor:mlp:beta_1,regressor:mlp:beta_2,regressor:mlp:early_stopping,regressor:mlp:epsilon,regressor:mlp:hidden_layer_depth,regressor:mlp:learning_rate_init,regressor:mlp:n_iter_no_change,regressor:mlp:num_nodes_per_layer,regressor:mlp:shuffle,regressor:mlp:solver,regressor:mlp:tol,regressor:mlp:validation_fraction,regressor:random_forest:bootstrap,regressor:random_forest:criterion,regressor:random_forest:max_depth,regressor:random_forest:max_features,regressor:random_forest:max_leaf_nodes,regressor:random_forest:min_impurity_decrease,regressor:random_forest:min_samples_leaf,regressor:random_forest:min_samples_split,regressor:random_forest:min_weight_fraction_leaf,regressor:sgd:alpha,regressor:sgd:average,regressor:sgd:epsilon,regressor:sgd:eta0,regressor:sgd:fit_intercept,regressor:sgd:l1_ratio,regressor:sgd:learning_rate,regressor:sgd:loss,regressor:sgd:penalty,regressor:sgd:power_t,regressor:sgd:tol,data_preprocessor:__choice__
+1,no_encoding,minority_coalescer,0.19528306404468637,mean,quantile_transformer,1012,normal,,,feature_agglomeration,,,,,,,,,,,,,,euclidean,ward,19,max,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.0036015747006128023,2.958116238190801e-10,1648.7454294729528,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+4,no_encoding,minority_coalescer,0.054221315715325895,most_frequent,standardize,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,mlp,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,tanh,7.818770024985629e-06,auto,0.9,0.999,train,1e-08,1,0.0007351998566408443,32,124,True,adam,0.0001,,,,,,,,,,,,,,,,,,,,,,feature_type
+7,one_hot_encoding,no_coalescense,,most_frequent,quantile_transformer,809,uniform,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,True,,,,,,,,,,,,,sgd,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.01806079811541296,False,,0.015540128437738566,True,0.9326390049807726,constant,squared_loss,elasticnet,,0.00010576654619459039,feature_type
+10,one_hot_encoding,minority_coalescer,0.00010349207190621693,mean,quantile_transformer,229,normal,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.055967923991199715,1.8694491708470566e-10,1.8954846844548174,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+13,one_hot_encoding,no_coalescense,,mean,none,,,,,extra_trees_preproc_for_regression,False,mae,None,0.9005220528852804,None,18,19,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,mlp,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,relu,1.4422002266493963e-06,auto,0.9,0.999,train,1e-08,3,0.00010147904733612964,32,102,True,adam,0.0001,,,,,,,,,,,,,,,,,,,,,,feature_type
+17,one_hot_encoding,minority_coalescer,0.010250361463446604,mean,minmax,,,,,fast_ica,,,,,,,,,,parallel,exp,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,194.03096694114694,,,0.0010214279074797082,0.20113065159176252,rbf,-1,True,0.0206281932709369,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+19,one_hot_encoding,minority_coalescer,0.0013057623156653984,median,robust_scaler,,,0.7384386306109247,0.13619830011156256,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,47.935402876904554,f_regression,,,,sgd,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3.1920798638358104e-06,True,0.1,2.5662550861454332e-06,True,,invscaling,squared_epsilon_insensitive,l2,0.16443692558514034,7.823786229838958e-05,feature_type
+24,no_encoding,no_coalescense,,mean,quantile_transformer,921,uniform,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.18833155459762518,fdr,f_regression,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1.7244875831624983e-11,1.7692546384341245e-08,2136.489365016044,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+25,no_encoding,minority_coalescer,0.008685068966137644,mean,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,valid,9.509076564526025e-10,0.10000000000000002,least_squares,255,None,43,16,15,loss,1e-07,0.11989931650613757,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+28,no_encoding,minority_coalescer,0.00397868572473159,mean,robust_scaler,,,0.7840854273341944,0.11376189722146844,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,k_nearest_neighbors,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,20,2,distance,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+31,one_hot_encoding,minority_coalescer,0.00011833657936902366,median,robust_scaler,,,0.9620122536055723,0.041640861521144046,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,11.840099182386703,mutual_info,,,,ard_regression,,,,,0.00010000597343918577,9.119287544292207e-06,True,3.857095107208989e-05,2.2152513731755446e-09,300,1149.097005419999,0.07291173569179792,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+34,one_hot_encoding,no_coalescense,,most_frequent,quantile_transformer,952,uniform,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,1.8428972335335263e-10,0.012607824914758717,least_squares,255,None,10,8,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+38,no_encoding,minority_coalescer,0.16100794776610894,median,robust_scaler,,,0.7171413959739553,0.13004136466339758,feature_agglomeration,,,,,,,,,,,,,,euclidean,complete,170,mean,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,False,mae,None,0.35533840599344335,None,0.0,4,3,0.0,,,,,,,,,,,,feature_type
+40,no_encoding,no_coalescense,,mean,normalize,,,,,fast_ica,,,,,,,,,,parallel,logcosh,1204,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,adaboost,0.027276717840410566,square,9,374,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+45,one_hot_encoding,no_coalescense,,most_frequent,robust_scaler,,,0.9547830281251513,0.2818601517145067,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,liblinear_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.8238476287807213,False,0.06889689389306164,True,1,squared_epsilon_insensitive,0.007803766455854209,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+46,no_encoding,no_coalescense,,mean,minmax,,,,,fast_ica,,,,,,,,,,deflation,logcosh,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,12959.890271609733,,,0.0026974286973887795,5.6258313008635,rbf,-1,False,0.006461735597762997,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+50,one_hot_encoding,no_coalescense,,mean,none,,,,,feature_agglomeration,,,,,,,,,,,,,,manhattan,average,189,mean,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,True,mse,None,0.625928697925399,None,0.0,13,17,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+54,one_hot_encoding,minority_coalescer,0.03327108471043405,mean,minmax,,,,,fast_ica,,,,,,,,,,deflation,exp,100,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,mse,None,1.0,None,0.0,3,4,0.0,,,,,,,,,,,,feature_type
+56,one_hot_encoding,minority_coalescer,0.00045833372603169316,most_frequent,minmax,,,,,random_trees_embedding,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,False,4,None,5,13,1.0,95,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,False,mae,None,0.7632599342253943,None,0.0,6,3,0.0,,,,,,,,,,,,feature_type
+58,one_hot_encoding,no_coalescense,,median,standardize,,,,,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,22.538520410186127,f_regression,,,,liblinear_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.036388789196735646,False,0.0012739627397164333,True,1,squared_epsilon_insensitive,0.020180468804448126,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+62,no_encoding,minority_coalescer,0.012569841099741286,mean,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,False,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,friedman_mse,None,0.849869957463498,None,0.0,1,7,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+66,no_encoding,minority_coalescer,0.00016754269505428354,median,quantile_transformer,170,uniform,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mse,None,0.6962692885049272,None,0.0,17,17,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+69,no_encoding,minority_coalescer,0.005916160439507675,median,robust_scaler,,,0.7573862080172087,0.23248564130335703,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,mse,None,0.9576560462788346,None,0.0,1,2,0.0,,,,,,,,,,,,feature_type
+71,one_hot_encoding,minority_coalescer,0.009257498949520307,most_frequent,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.44961973382556947,,,0.09740809652741539,,linear,-1,False,0.0017432165166466219,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+74,no_encoding,minority_coalescer,0.0411371732037623,most_frequent,standardize,,,,,fast_ica,,,,,,,,,,deflation,exp,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.03920815396184238,1.5339339840662385e-06,12835.896109095504,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+76,no_encoding,minority_coalescer,0.01776348615812144,mean,robust_scaler,,,0.7531696951574762,0.26584579918469997,fast_ica,,,,,,,,,,deflation,cube,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,mlp,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,relu,1.740596891332215e-06,auto,0.9,0.999,valid,1e-08,2,0.004884964756762577,32,214,True,adam,0.0001,0.1,,,,,,,,,,,,,,,,,,,,,feature_type
+79,no_encoding,minority_coalescer,0.06321015319850315,mean,minmax,,,,,fast_ica,,,,,,,,,,parallel,exp,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1748.6495214510217,0.6139955830104578,5,0.2904841027866532,0.03681269777162136,poly,-1,False,0.048525035127205005,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+82,no_encoding,minority_coalescer,0.05607310321489163,mean,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,28831.968873651404,0.39386733846748023,3,0.12370783564202235,0.0026233747431769617,poly,-1,True,4.714268123196739e-05,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+86,one_hot_encoding,minority_coalescer,0.09829149530888974,median,robust_scaler,,,0.9428003410291076,0.21757879968576752,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,ard_regression,,,,,0.00047704082924845395,0.00032653628819910504,True,1.1948865170434934e-05,1.3225878459315499e-08,300,8355.350995742332,0.05053571954916396,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+88,one_hot_encoding,no_coalescense,,most_frequent,minmax,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,friedman_mse,None,0.9456069656982452,None,0.0,1,2,0.0,,,,,,,,,,,,feature_type
+91,no_encoding,no_coalescense,,mean,normalize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,k_nearest_neighbors,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1,2,uniform,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+93,one_hot_encoding,no_coalescense,,most_frequent,quantile_transformer,1148,uniform,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.14778326778462142,fpr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,1.7962284970386197e-10,0.05156555327055447,least_squares,255,None,35,12,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+98,no_encoding,no_coalescense,,mean,robust_scaler,,,0.7010465420634562,0.19032833128592427,feature_agglomeration,,,,,,,,,,,,,,euclidean,ward,31,max,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,friedman_mse,None,0.7612289466695656,None,0.0,1,2,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+100,one_hot_encoding,minority_coalescer,0.0004074198580703139,mean,robust_scaler,,,0.9330606970563508,0.2761356138672697,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,adaboost,0.028345285546561846,linear,10,174,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+102,no_encoding,minority_coalescer,0.00829519231049576,mean,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,ard_regression,,,,,4.7044575285722365e-05,0.000629863807127318,True,7.584067704707025e-10,3.923255608410879e-08,300,4052.403778957396,0.009359388994186051,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+105,one_hot_encoding,no_coalescense,,median,none,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.4686252124441843,fpr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,valid,0.0038606936054114,0.020266625124044115,least_squares,255,None,458,158,18,loss,1e-07,0.27775972890692574,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+107,no_encoding,no_coalescense,,mean,robust_scaler,,,0.7727512096172742,0.22461598115758682,feature_agglomeration,,,,,,,,,,,,,,manhattan,complete,21,max,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,2.208787572338781e-05,0.036087332404571744,least_squares,255,None,64,3,18,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+110,no_encoding,minority_coalescer,0.0006869013905922761,mean,quantile_transformer,1352,normal,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.07357548990881542,fpr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,3.20414911914726e-10,0.1279702444496931,least_squares,255,None,63,19,8,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+114,no_encoding,minority_coalescer,0.0003158899599773715,most_frequent,normalize,,,,,feature_agglomeration,,,,,,,,,,,,,,euclidean,complete,253,median,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mae,None,0.7401627697020776,None,0.0,3,14,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+117,no_encoding,no_coalescense,,most_frequent,none,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.2031136218970144,,,0.340528001967228,,linear,-1,False,4.070347915643521e-05,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+119,no_encoding,minority_coalescer,0.002271318766767127,median,quantile_transformer,547,uniform,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,mae,None,0.8193894465766905,None,0.0,2,17,0.0,,,,,,,,,,,,feature_type
+124,no_encoding,no_coalescense,,most_frequent,quantile_transformer,1567,uniform,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,friedman_mse,None,1.0,None,0.0,5,2,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+126,no_encoding,minority_coalescer,0.010222641912650656,median,quantile_transformer,1092,uniform,,,feature_agglomeration,,,,,,,,,,,,,,euclidean,ward,59,mean,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,adaboost,0.010571278032840276,linear,10,116,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+128,one_hot_encoding,no_coalescense,,most_frequent,quantile_transformer,1040,uniform,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,1.27381234568573e-07,0.02758260805263155,least_squares,255,None,57,5,1,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+131,no_encoding,minority_coalescer,0.0026150904111835473,mean,normalize,,,,,pca,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.5410109609735668,True,,,,,,,,,,,,,,,,decision_tree,,,,,,,,,,,,,friedman_mse,1.240365240027156,1.0,None,0.0,19,11,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+135,no_encoding,minority_coalescer,0.00029916315779804966,median,quantile_transformer,894,uniform,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,5.348575844106585e-11,3.2802014300155454e-06,3027.1156250557783,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+137,one_hot_encoding,minority_coalescer,0.17155533674405296,most_frequent,minmax,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.04620436030152636,0.0002826448059048065,992.7876887853456,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+140,no_encoding,no_coalescense,,median,minmax,,,,,feature_agglomeration,,,,,,,,,,,,,,euclidean,average,272,median,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mse,None,0.5120356089629183,None,0.0,1,4,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+143,no_encoding,no_coalescense,,median,robust_scaler,,,0.7889051141669929,0.2253427527717258,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.3527536326193086,fdr,f_regression,extra_trees,,,,,,,,,,,,,,,,,,,,,True,mae,None,0.8877409763106398,None,0.0,10,3,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+148,no_encoding,no_coalescense,,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,ard_regression,,,,,0.0005879259823371087,3.410007832100047e-07,True,1.6597956274062097e-05,9.910691609164284e-10,300,2203.910297381356,0.006471761365578467,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+150,no_encoding,no_coalescense,,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mse,None,0.9797793053686011,None,0.0,1,4,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+153,one_hot_encoding,minority_coalescer,0.00013899061331455512,mean,minmax,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.19203734614573903,fdr,f_regression,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.28764734226521,1.5934220315148466e-07,59443.23501615305,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+154,no_encoding,minority_coalescer,0.008570597554507026,mean,none,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,mse,None,0.9098871393070471,None,0.0,1,2,0.0,,,,,,,,,,,,feature_type
+159,one_hot_encoding,minority_coalescer,0.008494856931473163,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,False,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.00037081737393889196,0.0006267702361019145,13.752901559664084,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+162,one_hot_encoding,minority_coalescer,0.010000000000000004,mean,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,friedman_mse,None,0.9833970457216187,None,0.0,2,2,0.0,,,,,,,,,,,,feature_type
+163,one_hot_encoding,minority_coalescer,0.018112600861325767,most_frequent,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.08159282928354238,8.625307386344728e-08,65.48869509665326,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+167,no_encoding,no_coalescense,,median,robust_scaler,,,0.843129351775309,0.033590245583939284,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,friedman_mse,None,0.7024447901011698,None,0.0,2,15,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+171,one_hot_encoding,no_coalescense,,mean,quantile_transformer,268,uniform,,,feature_agglomeration,,,,,,,,,,,,,,euclidean,average,107,median,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.42928092501196696,1.4435895787652725e-07,8.108685026706572,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+172,no_encoding,no_coalescense,,mean,standardize,,,,,feature_agglomeration,,,,,,,,,,,,,,manhattan,complete,385,mean,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,sgd,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1.238055706285357e-06,True,0.0035413980064916656,,True,,optimal,epsilon_insensitive,l2,,8.385117758196218e-05,feature_type
+176,one_hot_encoding,minority_coalescer,0.019566163649872924,most_frequent,robust_scaler,,,0.7200608810425068,0.22968043330398744,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.18539282936320728,fwe,f_regression,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mae,None,0.9029989558220115,None,0.0,1,2,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+178,no_encoding,minority_coalescer,0.2167319402461091,mean,quantile_transformer,1000,uniform,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.45870554101260114,fpr,f_regression,sgd,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.002933121397771544,False,0.009964658655519253,,True,0.14999999999999974,optimal,epsilon_insensitive,elasticnet,,3.708169053960741e-05,feature_type
+182,one_hot_encoding,minority_coalescer,0.006514462620801008,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,0.00956904848708048,0.028094986340152454,least_squares,255,None,154,13,20,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+184,no_encoding,no_coalescense,,mean,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,False,,,,,,,,,,,,,ard_regression,,,,,0.00015485569335015024,5.177331116710886e-07,True,1.749057118338389e-07,3.0624484035937795e-09,300,12306.96029514458,2.0202229877767396e-05,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+186,no_encoding,minority_coalescer,0.010515112787842862,most_frequent,quantile_transformer,583,uniform,,,feature_agglomeration,,,,,,,,,,,,,,euclidean,average,5,mean,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.00015169626319121407,0.0006853872700383563,80227.86048666916,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+189,no_encoding,minority_coalescer,0.042447196977431316,most_frequent,minmax,,,,,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,32.125031211228716,f_regression,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.0017749279098074491,1.0426968473759477e-05,4564.7519789609605,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+193,no_encoding,no_coalescense,,mean,robust_scaler,,,0.7677833621565118,0.25759436171066835,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,valid,1e-10,0.026111542610815466,least_squares,255,None,229,36,13,loss,1e-07,0.13728453982467612,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+195,no_encoding,minority_coalescer,0.02451767690464501,mean,standardize,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.09732187826438828,fpr,f_regression,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.014777084048994575,2.286200540779987e-09,9302.444837996962,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+200,one_hot_encoding,no_coalescense,,mean,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,friedman_mse,None,0.9663287705959869,None,0.0,3,10,0.0,,,,,,,,,,,,feature_type
+201,one_hot_encoding,no_coalescense,,mean,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,2.093528627734622e-10,0.056993947028442245,least_squares,255,None,96,7,20,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+204,no_encoding,minority_coalescer,0.0026150904111835473,mean,normalize,,,,,pca,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.5410109609735668,True,,,,,,,,,,,,,,,,decision_tree,,,,,,,,,,,,,friedman_mse,1.240365240027156,1.0,None,0.0,19,11,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+208,no_encoding,no_coalescense,,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,True,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,valid,0.327916992926995,0.09896445264759084,least_squares,255,None,100,2,7,loss,1e-07,0.3111309300472759,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+211,no_encoding,no_coalescense,,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,180.22479438529933,,,0.0012571604901280202,0.10272820821863678,rbf,-1,False,0.02945259690926852,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+213,one_hot_encoding,minority_coalescer,0.014339959628553693,most_frequent,standardize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,True,,,,,,,,,,,,,sgd,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,4.8547880184275584e-05,True,0.09563670720196799,0.014559866208729597,True,,invscaling,epsilon_insensitive,l1,0.13583279480857163,0.00012816751859526018,feature_type
+217,one_hot_encoding,minority_coalescer,0.00013426375251483367,mean,quantile_transformer,1000,normal,,,extra_trees_preproc_for_regression,False,mae,None,0.9485456391530016,None,2,11,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,mae,None,1.0,None,0.0,1,5,0.0,,,,,,,,,,,,feature_type
+219,no_encoding,minority_coalescer,0.01943518864702716,mean,minmax,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.19219901458178226,fpr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,valid,0.13669968231796129,0.4353151247757148,least_squares,255,None,80,67,14,loss,1e-07,0.044680427745856566,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+224,one_hot_encoding,no_coalescense,,median,quantile_transformer,1016,uniform,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.3992671482410072,fpr,f_regression,extra_trees,,,,,,,,,,,,,,,,,,,,,True,mse,None,0.2477939208870194,None,0.0,2,4,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+227,no_encoding,minority_coalescer,0.04976647818875639,mean,robust_scaler,,,0.7496554606439986,0.21900339643120248,feature_agglomeration,,,,,,,,,,,,,,euclidean,complete,31,max,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,mse,None,0.9373461778146084,None,0.0,1,2,0.0,,,,,,,,,,,,feature_type
+228,no_encoding,minority_coalescer,0.0005112414168823774,median,standardize,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.4807408968132736,fdr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,5.775517309881741e-08,0.020024969424259676,least_squares,255,None,156,85,16,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+232,no_encoding,no_coalescense,,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,False,,,,,,,,,,,,,sgd,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.0006517033225329654,False,0.012150149892783745,0.016444224834275295,True,1.7462342366289323e-09,invscaling,epsilon_insensitive,elasticnet,0.21521743568582094,0.002431731981071206,feature_type
+234,no_encoding,minority_coalescer,0.00104103393087551,mean,standardize,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.03987312851206322,0.00027703072510082584,1116.9802212627676,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+237,no_encoding,minority_coalescer,0.007741331259480108,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.020932011717701825,7.512295484675918e-08,427.92917011793116,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+240,no_encoding,minority_coalescer,0.016767569924572498,mean,standardize,,,,,extra_trees_preproc_for_regression,True,mse,None,1.0,None,1,4,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.01114234288871711,2.051184689945752e-07,16.033192975742793,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+243,one_hot_encoding,no_coalescense,,most_frequent,none,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.17117168806134755,fpr,f_regression,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.014512997078108282,2.3840234103129553e-05,4588.288936194533,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+247,one_hot_encoding,minority_coalescer,0.014192135928954746,median,standardize,,,,,fast_ica,,,,,,,,,,deflation,exp,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1.4272136443763257,0.2694141260648879,2,0.10000000000000006,0.05757315877344016,poly,-1,False,0.0010000000000000002,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+249,one_hot_encoding,minority_coalescer,0.002291266242901915,most_frequent,standardize,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,mse,None,0.9838295541249756,None,0.0,4,9,0.0,,,,,,,,,,,,feature_type
+252,one_hot_encoding,minority_coalescer,0.0001745391328519669,most_frequent,robust_scaler,,,0.8057830372269097,0.24982831110057324,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.3621762718897781,fwe,f_regression,ard_regression,,,,,2.7664515192592053e-05,9.504988116581138e-07,True,6.50650698230178e-09,4.238533890074848e-07,300,78251.58542976103,0.0007301343236220855,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+257,one_hot_encoding,minority_coalescer,0.0216783950539192,mean,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,0.00010889929093369623,0.013461560146088193,least_squares,255,None,922,78,19,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+258,no_encoding,minority_coalescer,0.09382570527264746,most_frequent,robust_scaler,,,0.7371688778157178,0.2787239315402732,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,ard_regression,,,,,0.0004011707126241623,0.00043076459083384017,True,1.4497912759357727e-08,5.5191094555400335e-05,300,1906.0574184995257,4.362118572358691e-05,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+261,one_hot_encoding,minority_coalescer,0.06060922445200678,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,False,,,,,,,,,,,,,ard_regression,,,,,0.0008174368913886637,1.7875823585609458e-07,True,3.571262743428141e-07,4.14818291023703e-09,300,23257.23600441506,0.016014365114117364,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+265,one_hot_encoding,no_coalescense,,mean,standardize,,,,,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,24.560906712337708,f_regression,,,,decision_tree,,,,,,,,,,,,,mae,0.8468780775417923,1.0,None,0.0,9,17,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+267,no_encoding,no_coalescense,,median,none,,,,,pca,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.5978082797440822,True,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1.737104302980724,-0.22262956416372015,,0.01762287049050619,,sigmoid,-1,True,0.0002849301132395629,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+270,one_hot_encoding,no_coalescense,,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,False,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.03958214337031283,5.078705377926443e-07,1766.8717059746273,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+275,one_hot_encoding,no_coalescense,,most_frequent,quantile_transformer,67,uniform,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,False,mse,None,1.0,None,0.0,12,3,0.0,,,,,,,,,,,,feature_type
+278,one_hot_encoding,minority_coalescer,0.09205870929132008,most_frequent,normalize,,,,,feature_agglomeration,,,,,,,,,,,,,,euclidean,ward,148,median,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,adaboost,0.035013789031210156,square,8,126,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+279,no_encoding,minority_coalescer,0.4873131661139947,mean,standardize,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.43441750135120694,fpr,f_regression,k_nearest_neighbors,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,2,distance,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+282,no_encoding,minority_coalescer,0.004113130505243843,most_frequent,none,,,,,extra_trees_preproc_for_regression,True,mae,None,0.8369649994277156,None,8,19,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.04144129277528442,2.0039230791934377e-06,49341.759561854764,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+285,no_encoding,no_coalescense,,mean,minmax,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.2186105871515939,fdr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,0.10377482408306521,0.016255400771699312,least_squares,255,None,65,70,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
diff --git a/autosklearn/metalearning/files/median_absolute_error_regression_dense/configurations.csv b/autosklearn/metalearning/files/median_absolute_error_regression_dense/configurations.csv
index e0d0e1b96b..cd89a4e34d 100644
--- a/autosklearn/metalearning/files/median_absolute_error_regression_dense/configurations.csv
+++ b/autosklearn/metalearning/files/median_absolute_error_regression_dense/configurations.csv
@@ -1,98 +1,98 @@
-idx,data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__,data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__,data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction,data_preprocessor:feature_type:numerical_transformer:imputation:strategy,data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__,data_preprocessor:feature_type:numerical_transformer:rescaling:quantile_transformer:n_quantiles,data_preprocessor:feature_type:numerical_transformer:rescaling:quantile_transformer:output_distribution,data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_max,data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_min,feature_preprocessor:__choice__,feature_preprocessor:extra_trees_preproc_for_regression:bootstrap,feature_preprocessor:extra_trees_preproc_for_regression:criterion,feature_preprocessor:extra_trees_preproc_for_regression:max_depth,feature_preprocessor:extra_trees_preproc_for_regression:max_features,feature_preprocessor:extra_trees_preproc_for_regression:max_leaf_nodes,feature_preprocessor:extra_trees_preproc_for_regression:min_samples_leaf,feature_preprocessor:extra_trees_preproc_for_regression:min_samples_split,feature_preprocessor:extra_trees_preproc_for_regression:min_weight_fraction_leaf,feature_preprocessor:extra_trees_preproc_for_regression:n_estimators,feature_preprocessor:fast_ica:algorithm,feature_preprocessor:fast_ica:fun,feature_preprocessor:fast_ica:n_components,feature_preprocessor:fast_ica:whiten,feature_preprocessor:feature_agglomeration:affinity,feature_preprocessor:feature_agglomeration:linkage,feature_preprocessor:feature_agglomeration:n_clusters,feature_preprocessor:feature_agglomeration:pooling_func,feature_preprocessor:kernel_pca:coef0,feature_preprocessor:kernel_pca:degree,feature_preprocessor:kernel_pca:gamma,feature_preprocessor:kernel_pca:kernel,feature_preprocessor:kernel_pca:n_components,feature_preprocessor:kitchen_sinks:gamma,feature_preprocessor:kitchen_sinks:n_components,feature_preprocessor:nystroem_sampler:coef0,feature_preprocessor:nystroem_sampler:degree,feature_preprocessor:nystroem_sampler:gamma,feature_preprocessor:nystroem_sampler:kernel,feature_preprocessor:nystroem_sampler:n_components,feature_preprocessor:pca:keep_variance,feature_preprocessor:pca:whiten,feature_preprocessor:polynomial:degree,feature_preprocessor:polynomial:include_bias,feature_preprocessor:polynomial:interaction_only,feature_preprocessor:random_trees_embedding:bootstrap,feature_preprocessor:random_trees_embedding:max_depth,feature_preprocessor:random_trees_embedding:max_leaf_nodes,feature_preprocessor:random_trees_embedding:min_samples_leaf,feature_preprocessor:random_trees_embedding:min_samples_split,feature_preprocessor:random_trees_embedding:min_weight_fraction_leaf,feature_preprocessor:random_trees_embedding:n_estimators,feature_preprocessor:select_percentile_regression:percentile,feature_preprocessor:select_percentile_regression:score_func,feature_preprocessor:select_rates_regression:alpha,feature_preprocessor:select_rates_regression:mode,feature_preprocessor:select_rates_regression:score_func,regressor:__choice__,regressor:adaboost:learning_rate,regressor:adaboost:loss,regressor:adaboost:max_depth,regressor:adaboost:n_estimators,regressor:ard_regression:alpha_1,regressor:ard_regression:alpha_2,regressor:ard_regression:fit_intercept,regressor:ard_regression:lambda_1,regressor:ard_regression:lambda_2,regressor:ard_regression:n_iter,regressor:ard_regression:threshold_lambda,regressor:ard_regression:tol,regressor:decision_tree:criterion,regressor:decision_tree:max_depth_factor,regressor:decision_tree:max_features,regressor:decision_tree:max_leaf_nodes,regressor:decision_tree:min_impurity_decrease,regressor:decision_tree:min_samples_leaf,regressor:decision_tree:min_samples_split,regressor:decision_tree:min_weight_fraction_leaf,regressor:extra_trees:bootstrap,regressor:extra_trees:criterion,regressor:extra_trees:max_depth,regressor:extra_trees:max_features,regressor:extra_trees:max_leaf_nodes,regressor:extra_trees:min_impurity_decrease,regressor:extra_trees:min_samples_leaf,regressor:extra_trees:min_samples_split,regressor:extra_trees:min_weight_fraction_leaf,regressor:gaussian_process:alpha,regressor:gaussian_process:thetaL,regressor:gaussian_process:thetaU,regressor:gradient_boosting:early_stop,regressor:gradient_boosting:l2_regularization,regressor:gradient_boosting:learning_rate,regressor:gradient_boosting:loss,regressor:gradient_boosting:max_bins,regressor:gradient_boosting:max_depth,regressor:gradient_boosting:max_leaf_nodes,regressor:gradient_boosting:min_samples_leaf,regressor:gradient_boosting:n_iter_no_change,regressor:gradient_boosting:scoring,regressor:gradient_boosting:tol,regressor:gradient_boosting:validation_fraction,regressor:k_nearest_neighbors:n_neighbors,regressor:k_nearest_neighbors:p,regressor:k_nearest_neighbors:weights,regressor:liblinear_svr:C,regressor:liblinear_svr:dual,regressor:liblinear_svr:epsilon,regressor:liblinear_svr:fit_intercept,regressor:liblinear_svr:intercept_scaling,regressor:liblinear_svr:loss,regressor:liblinear_svr:tol,regressor:libsvm_svr:C,regressor:libsvm_svr:coef0,regressor:libsvm_svr:degree,regressor:libsvm_svr:epsilon,regressor:libsvm_svr:gamma,regressor:libsvm_svr:kernel,regressor:libsvm_svr:max_iter,regressor:libsvm_svr:shrinking,regressor:libsvm_svr:tol,regressor:mlp:activation,regressor:mlp:alpha,regressor:mlp:batch_size,regressor:mlp:beta_1,regressor:mlp:beta_2,regressor:mlp:early_stopping,regressor:mlp:epsilon,regressor:mlp:hidden_layer_depth,regressor:mlp:learning_rate_init,regressor:mlp:n_iter_no_change,regressor:mlp:num_nodes_per_layer,regressor:mlp:shuffle,regressor:mlp:solver,regressor:mlp:tol,regressor:mlp:validation_fraction,regressor:random_forest:bootstrap,regressor:random_forest:criterion,regressor:random_forest:max_depth,regressor:random_forest:max_features,regressor:random_forest:max_leaf_nodes,regressor:random_forest:min_impurity_decrease,regressor:random_forest:min_samples_leaf,regressor:random_forest:min_samples_split,regressor:random_forest:min_weight_fraction_leaf,regressor:sgd:alpha,regressor:sgd:average,regressor:sgd:epsilon,regressor:sgd:eta0,regressor:sgd:fit_intercept,regressor:sgd:l1_ratio,regressor:sgd:learning_rate,regressor:sgd:loss,regressor:sgd:penalty,regressor:sgd:power_t,regressor:sgd:tol,data_preprocessor:__choice__
-2,no_encoding,no_coalescense,,mean,quantile_transformer,11,normal,,,feature_agglomeration,,,,,,,,,,,,,,euclidean,complete,25,median,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.0013353328453618832,1.8649142010631853e-07,3552.37611286252,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-5,no_encoding,no_coalescense,,mean,minmax,,,,,fast_ica,,,,,,,,,,parallel,logcosh,1640,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,True,mae,None,1.0,None,0.0,6,16,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-7,one_hot_encoding,no_coalescense,,most_frequent,quantile_transformer,809,uniform,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,True,,,,,,,,,,,,,sgd,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.01806079811541296,False,,0.015540128437738566,True,0.9326390049807726,constant,squared_loss,elasticnet,,0.00010576654619459039,feature_type
-11,no_encoding,minority_coalescer,0.007097225871050227,median,normalize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,True,,,,,,,,,,,,,k_nearest_neighbors,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1,2,distance,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-14,no_encoding,minority_coalescer,0.07108590272810227,median,minmax,,,,,extra_trees_preproc_for_regression,False,mae,None,1.0,None,2,3,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,True,mae,None,1.0,None,0.0,9,19,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-18,one_hot_encoding,no_coalescense,,mean,minmax,,,,,fast_ica,,,,,,,,,,deflation,logcosh,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,6057.379756266077,,4,0.0011325324000394828,0.05291717770551696,rbf,-1,False,0.006686881523567499,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-20,one_hot_encoding,minority_coalescer,0.0015545063839819278,most_frequent,normalize,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,decision_tree,,,,,,,,,,,,,mae,0.7595438766001632,1.0,None,0.0,19,18,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-22,one_hot_encoding,no_coalescense,,mean,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,adaboost,0.8420513715405185,square,10,480,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-26,no_encoding,no_coalescense,,mean,robust_scaler,,,0.7194207293244546,0.25,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,False,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,1e-10,0.04073473488071534,least_squares,255,None,22,4,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-28,one_hot_encoding,minority_coalescer,0.050324425846607804,median,robust_scaler,,,0.8007277620832998,0.21762816739338928,feature_agglomeration,,,,,,,,,,,,,,cosine,complete,47,mean,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,friedman_mse,None,0.8902072637076673,None,0.0,1,10,0.0,,,,,,,,,,,,feature_type
-31,no_encoding,no_coalescense,,median,robust_scaler,,,0.8741033902488873,0.24982831110057324,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.0661055106742061,fwe,f_regression,ard_regression,,,,,0.00020075921434400403,5.67006828407246e-07,True,9.931380185031806e-09,1.1590381260870653e-10,300,98492.15951133538,0.0006697275349092505,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-36,no_encoding,minority_coalescer,0.32955230566093613,mean,robust_scaler,,,0.7272718855134701,0.08801586389902688,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,False,,,,,,,,,,,,,adaboost,1.1471062217551702,linear,8,167,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-38,one_hot_encoding,minority_coalescer,0.060839696469393995,mean,robust_scaler,,,0.711042225237951,0.09731632673930204,feature_agglomeration,,,,,,,,,,,,,,euclidean,complete,158,mean,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,False,mae,None,0.30197308921090893,None,0.0,15,8,0.0,,,,,,,,,,,,feature_type
-40,one_hot_encoding,no_coalescense,,most_frequent,minmax,,,,,fast_ica,,,,,,,,,,deflation,cube,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,k_nearest_neighbors,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1,2,distance,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-45,one_hot_encoding,no_coalescense,,most_frequent,robust_scaler,,,0.9547830281251513,0.2818601517145067,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,liblinear_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.8238476287807213,False,0.06889689389306164,True,1,squared_epsilon_insensitive,0.007803766455854209,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-46,no_encoding,no_coalescense,,mean,minmax,,,,,fast_ica,,,,,,,,,,deflation,logcosh,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,12959.890271609733,,2,0.0026974286973887795,5.6258313008635,rbf,-1,False,0.006461735597762997,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-50,one_hot_encoding,no_coalescense,,mean,none,,,,,feature_agglomeration,,,,,,,,,,,,,,manhattan,average,189,mean,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,True,mse,None,0.625928697925399,None,0.0,13,17,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-53,one_hot_encoding,minority_coalescer,0.006445714372024774,most_frequent,standardize,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.023884335811188567,1.4170355084228403e-06,290.62967682941456,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-56,one_hot_encoding,minority_coalescer,0.00045833372603169316,most_frequent,minmax,,,,,random_trees_embedding,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,False,4,None,5,13,1.0,95,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,False,mae,None,0.7632599342253943,None,0.0,6,3,0.0,,,,,,,,,,,,feature_type
-58,one_hot_encoding,no_coalescense,,median,standardize,,,,,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,22.538520410186127,f_regression,,,,liblinear_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.036388789196735646,False,0.0012739627397164333,True,1,squared_epsilon_insensitive,0.020180468804448126,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-62,no_encoding,minority_coalescer,0.012569841099741286,mean,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,False,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,friedman_mse,None,0.849869957463498,None,0.0,1,7,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-64,one_hot_encoding,no_coalescense,,most_frequent,standardize,,,,,nystroem_sampler,,,,,,,,,,,,,,,,,,,,,,,,,,,,cosine,720,,,,,,,,,,,,,,,,,,sgd,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1.8275914377838947e-06,False,5.4187840539648986e-05,0.012800259746180712,True,,invscaling,epsilon_insensitive,l2,0.413658635698922,0.001985117774888825,feature_type
-68,one_hot_encoding,minority_coalescer,0.010000000000000004,mean,quantile_transformer,353,normal,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,adaboost,1.195117915830476,square,7,446,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-70,no_encoding,minority_coalescer,0.048677279020287845,mean,standardize,,,,,pca,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.9330163695321677,False,,,,,,,,,,,,,,,,k_nearest_neighbors,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,48,2,uniform,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-73,no_encoding,no_coalescense,,median,none,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.050094191586811006,0.0003548828620495203,4.892652257294903,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-77,one_hot_encoding,minority_coalescer,0.013690195921333696,mean,quantile_transformer,927,uniform,,,fast_ica,,,,,,,,,,parallel,logcosh,686,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,False,mse,None,0.3456663826588904,None,0.0,1,3,0.0,,,,,,,,,,,,feature_type
-79,one_hot_encoding,minority_coalescer,0.013559976666217482,mean,minmax,,,,,feature_agglomeration,,,,,,,,,,,,,,euclidean,ward,81,max,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,7074.759184676747,,4,0.012970405947021068,0.017862025016886447,rbf,-1,False,0.0033700520159237702,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-82,no_encoding,minority_coalescer,0.05607310321489163,mean,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,28831.968873651404,0.39386733846748023,3,0.12370783564202235,0.0026233747431769617,poly,-1,True,4.714268123196739e-05,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-85,no_encoding,minority_coalescer,0.043611723722987744,median,robust_scaler,,,0.8153794856777101,0.2542106848357464,fast_ica,,,,,,,,,,parallel,logcosh,45,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,mse,None,0.7574904554752734,None,0.0,2,4,0.0,,,,,,,,,,,,feature_type
-90,no_encoding,no_coalescense,,most_frequent,robust_scaler,,,0.9967561696478335,0.026240229529164848,feature_agglomeration,,,,,,,,,,,,,,euclidean,ward,25,max,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,valid,1e-10,0.10799112896135016,least_squares,255,None,31,23,6,loss,1e-07,0.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-91,no_encoding,minority_coalescer,0.1781448810684882,median,normalize,,,,,fast_ica,,,,,,,,,,parallel,logcosh,1750,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,k_nearest_neighbors,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1,2,distance,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-93,one_hot_encoding,no_coalescense,,most_frequent,quantile_transformer,1148,uniform,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.14778326778462142,fpr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,1.7962284970386197e-10,0.05156555327055447,least_squares,255,None,35,12,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-98,no_encoding,no_coalescense,,median,none,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.34034793262861907,fwe,f_regression,k_nearest_neighbors,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,1,distance,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-99,one_hot_encoding,no_coalescense,,most_frequent,robust_scaler,,,0.9742867952016132,0.05179873386092966,extra_trees_preproc_for_regression,True,mse,None,0.9526743283178011,None,10,13,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,decision_tree,,,,,,,,,,,,,mae,0.7549749249776565,1.0,None,0.0,18,3,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-102,no_encoding,no_coalescense,,mean,minmax,,,,,fast_ica,,,,,,,,,,deflation,exp,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,221.71686867531432,,2,0.0011345895753789173,0.03605472173139597,rbf,-1,True,0.03171505247204187,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-104,no_encoding,no_coalescense,,mean,standardize,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,mlp,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,relu,0.00034869363637350924,auto,0.9,0.999,train,1e-08,2,0.00011524903693777931,32,31,True,adam,0.0001,,,,,,,,,,,,,,,,,,,,,,feature_type
-107,no_encoding,no_coalescense,,mean,robust_scaler,,,0.7727512096172742,0.22461598115758682,feature_agglomeration,,,,,,,,,,,,,,manhattan,complete,21,max,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,2.208787572338781e-05,0.036087332404571744,least_squares,255,None,64,3,18,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-110,no_encoding,minority_coalescer,0.0006869013905922761,mean,quantile_transformer,1352,normal,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.07357548990881542,fpr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,3.20414911914726e-10,0.1279702444496931,least_squares,255,None,63,19,8,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-114,no_encoding,minority_coalescer,0.00017544300366817,most_frequent,normalize,,,,,extra_trees_preproc_for_regression,True,friedman_mse,None,1.0,None,9,2,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mae,None,0.9524455578856136,None,0.0,16,12,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-116,one_hot_encoding,minority_coalescer,0.0001745391328519669,most_frequent,robust_scaler,,,0.8057830372269097,0.24982831110057324,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.3621762718897781,fwe,f_regression,ard_regression,,,,,2.7664515192592053e-05,9.504988116581138e-07,True,6.50650698230178e-09,4.238533890074848e-07,300,78251.58542976103,0.0007301343236220855,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-120,no_encoding,no_coalescense,,most_frequent,quantile_transformer,698,uniform,,,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,80.29508560042179,f_regression,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,False,mae,None,0.7518614704756971,None,0.0,6,8,0.0,,,,,,,,,,,,feature_type
-124,one_hot_encoding,no_coalescense,,median,quantile_transformer,1779,normal,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,4.957506578736309e-07,0.05200721900508807,least_squares,255,None,4,2,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-125,no_encoding,minority_coalescer,0.026860406930453065,mean,quantile_transformer,1603,normal,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,True,,,,,,,,,,,,,adaboost,1.4602808978340507,linear,8,350,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-128,one_hot_encoding,minority_coalescer,0.010000000000000004,most_frequent,robust_scaler,,,0.8011683337278442,0.27942314040423333,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,4.46362791740829e-05,0.02648994712354678,least_squares,255,None,157,1,3,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-132,one_hot_encoding,minority_coalescer,0.0001745391328519669,most_frequent,robust_scaler,,,0.8057830372269097,0.24982831110057324,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.3621762718897781,fwe,f_regression,ard_regression,,,,,2.7664515192592053e-05,9.504988116581138e-07,True,6.50650698230178e-09,4.238533890074848e-07,300,78251.58542976103,0.0007301343236220855,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-135,no_encoding,minority_coalescer,0.00029916315779804966,median,quantile_transformer,894,uniform,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,5.348575844106585e-11,3.2802014300155454e-06,3027.1156250557783,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-138,no_encoding,minority_coalescer,0.018981164720696175,median,minmax,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.03175182874113965,0.00030344963288406407,64164.586360277535,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-142,one_hot_encoding,minority_coalescer,0.010000000000000004,median,minmax,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.1,fpr,f_regression,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,412.2233201783493,,2,0.0011345895753789173,0.09283610863148048,rbf,-1,False,0.03171505247204187,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-143,no_encoding,no_coalescense,,median,standardize,,,,,pca,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.5334180754572447,False,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mae,None,0.8479567336155207,None,0.0,8,16,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-148,no_encoding,minority_coalescer,0.010000000000000004,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,ard_regression,,,,,0.0007449695943118128,4.4022561284356343e-07,True,9.649841844227597e-07,3.5339262480338594e-06,300,1747.977219451044,0.001975027709452003,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-150,no_encoding,no_coalescense,,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,friedman_mse,None,0.9722422278717789,None,0.0,1,4,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-151,one_hot_encoding,no_coalescense,,median,quantile_transformer,1112,uniform,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,mse,None,0.1878422016198133,None,0.0,2,2,0.0,,,,,,,,,,,,feature_type
-155,one_hot_encoding,minority_coalescer,0.0366721769670183,median,quantile_transformer,1000,uniform,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,False,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mse,None,1.0,None,0.0,3,12,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-157,one_hot_encoding,minority_coalescer,0.1281015395729456,mean,robust_scaler,,,0.8161790810768598,0.194653955004446,feature_agglomeration,,,,,,,,,,,,,,cosine,average,232,max,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,k_nearest_neighbors,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,21,1,distance,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-161,one_hot_encoding,no_coalescense,,mean,minmax,,,,,fast_ica,,,,,,,,,,deflation,cube,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,223.76455735355236,,2,0.001517791120341912,0.11103484780954016,rbf,-1,True,0.0015245364690368247,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-163,one_hot_encoding,no_coalescense,,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,False,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.283161627129086,5.740230445424651e-08,64.73594928324005,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-167,no_encoding,no_coalescense,,mean,none,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,decision_tree,,,,,,,,,,,,,mae,1.3924788244078783,1.0,None,0.0,17,12,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-169,no_encoding,minority_coalescer,0.024758956617535213,median,standardize,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.22888181300939214,fdr,f_regression,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,14.663900495367534,,4,0.0017630172009850445,0.02304400836020652,rbf,-1,False,0.01844898110925472,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-172,no_encoding,no_coalescense,,mean,standardize,,,,,feature_agglomeration,,,,,,,,,,,,,,manhattan,complete,385,mean,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,sgd,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1.238055706285357e-06,True,0.0035413980064916656,,True,,optimal,epsilon_insensitive,l2,,8.385117758196218e-05,feature_type
-176,one_hot_encoding,minority_coalescer,0.019566163649872924,most_frequent,robust_scaler,,,0.7200608810425068,0.22968043330398744,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.18539282936320728,fwe,f_regression,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mae,None,0.9029989558220115,None,0.0,1,2,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-178,one_hot_encoding,minority_coalescer,0.00011498059478619926,median,minmax,,,,,extra_trees_preproc_for_regression,True,mae,None,0.959288288500526,None,16,17,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,decision_tree,,,,,,,,,,,,,mae,0.4170386760209059,1.0,None,0.0,12,3,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-182,one_hot_encoding,minority_coalescer,0.006514462620801008,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,0.00956904848708048,0.028094986340152454,least_squares,255,None,154,13,20,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-185,no_encoding,minority_coalescer,0.005832981135631713,median,none,,,,,fast_ica,,,,,,,,,,parallel,exp,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1984.2957886752215,,2,0.0037512089540495315,0.01898396920165309,rbf,-1,True,2.8040110952036678e-05,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-186,one_hot_encoding,minority_coalescer,0.060340760284342335,median,standardize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.00019882600974585908,2.3346820047921983e-05,72722.93613112147,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-189,one_hot_encoding,minority_coalescer,0.010687735018317065,most_frequent,quantile_transformer,715,normal,,,extra_trees_preproc_for_regression,False,mse,None,1.0,None,1,2,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,mae,None,1.0,None,0.0,2,2,0.0,,,,,,,,,,,,feature_type
-193,one_hot_encoding,minority_coalescer,0.02455131058287564,median,standardize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,valid,0.006125673891992339,0.05755219835553661,least_squares,255,None,3,105,1,loss,1e-07,0.34204169177546356,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-197,one_hot_encoding,minority_coalescer,0.008212209535832581,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.054214363629698496,5.913822061973022e-07,49143.56497731505,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-198,one_hot_encoding,no_coalescense,,most_frequent,robust_scaler,,,0.75372906924827,0.25601670030188695,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,valid,1.142411064078065e-10,0.07991394289005148,least_squares,255,None,20,20,10,loss,1e-07,0.09462663894906431,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-201,one_hot_encoding,no_coalescense,,mean,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,2.093528627734622e-10,0.056993947028442245,least_squares,255,None,96,7,20,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-205,one_hot_encoding,minority_coalescer,0.01700675326616134,median,standardize,,,,,feature_agglomeration,,,,,,,,,,,,,,cosine,average,151,median,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,decision_tree,,,,,,,,,,,,,mse,1.0282554380863351,1.0,None,0.0,19,3,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-208,no_encoding,no_coalescense,,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,True,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,valid,0.327916992926995,0.09896445264759084,least_squares,255,None,100,2,7,loss,1e-07,0.3111309300472759,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-211,no_encoding,no_coalescense,,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,180.22479438529933,,4,0.0012571604901280202,0.10272820821863678,rbf,-1,False,0.02945259690926852,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-214,one_hot_encoding,no_coalescense,,mean,standardize,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.10380250296711345,fpr,f_regression,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,313.80394795972063,,2,0.003099223059277561,0.017317093115152473,rbf,-1,True,0.024277944281241755,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-217,no_encoding,minority_coalescer,0.3075379022640153,median,robust_scaler,,,0.75,0.2227403297034476,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,mae,None,0.5867647620951765,None,0.0,12,3,0.0,,,,,,,,,,,,feature_type
-220,one_hot_encoding,minority_coalescer,0.0074901612162674314,median,quantile_transformer,1000,uniform,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.11837903484332993,fpr,f_regression,sgd,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.0009210650955968192,False,5.162916923614626e-05,0.010000000000000014,True,,invscaling,epsilon_insensitive,l1,0.25,0.0011697312333031576,feature_type
-222,no_encoding,minority_coalescer,0.002591037601166213,mean,none,,,,,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,30.46212550428878,mutual_info,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,True,mae,None,0.6717483424890341,None,0.0,20,4,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-225,no_encoding,no_coalescense,,most_frequent,robust_scaler,,,0.7561109696348165,0.25,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,friedman_mse,None,0.9940190674957999,None,0.0,1,2,0.0,,,,,,,,,,,,feature_type
-228,no_encoding,minority_coalescer,0.0005112414168823774,median,standardize,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.4807408968132736,fdr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,5.775517309881741e-08,0.020024969424259676,least_squares,255,None,156,85,16,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-232,no_encoding,no_coalescense,,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,False,,,,,,,,,,,,,sgd,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.0006517033225329654,False,0.012150149892783745,0.016444224834275295,True,1.7462342366289323e-09,invscaling,epsilon_insensitive,elasticnet,0.21521743568582094,0.002431731981071206,feature_type
-235,no_encoding,no_coalescense,,mean,standardize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.051722240295206036,3.6874673577742775e-09,2235.498740920408,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-237,no_encoding,minority_coalescer,0.00812390310244969,most_frequent,standardize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.03429300412839323,1.1283208177742579e-06,427.92917011793116,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-240,one_hot_encoding,minority_coalescer,0.010000000000000004,mean,standardize,,,,,extra_trees_preproc_for_regression,True,friedman_mse,None,0.969236220539822,None,1,2,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.013068012551322245,2.979079708104577e-07,50599.0613366392,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-244,one_hot_encoding,minority_coalescer,0.009333160306231441,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.030976606236786153,1.1454014935657008e-06,26.06908483490808,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-247,one_hot_encoding,minority_coalescer,0.014192135928954746,median,standardize,,,,,fast_ica,,,,,,,,,,deflation,exp,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1.4272136443763257,0.2694141260648879,2,0.10000000000000006,0.05757315877344016,poly,-1,False,0.0010000000000000002,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-250,no_encoding,minority_coalescer,0.0013706790419589269,most_frequent,minmax,,,,,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,36.16485710707785,mutual_info,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,False,friedman_mse,None,0.752819740456617,None,0.0,19,15,0.0,,,,,,,,,,,,feature_type
-253,no_encoding,minority_coalescer,0.26110798476806907,most_frequent,robust_scaler,,,0.7461372990016106,0.18481793818833603,extra_trees_preproc_for_regression,False,friedman_mse,None,0.754963329968397,None,13,20,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,True,mae,None,0.9353841799433302,None,0.0,20,8,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-257,one_hot_encoding,minority_coalescer,0.0216783950539192,mean,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,0.00010889929093369623,0.013461560146088193,least_squares,255,None,922,78,19,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-259,one_hot_encoding,no_coalescense,,median,none,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.23965115028414283,fdr,f_regression,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,460.76474217462135,,4,0.005339969606710064,0.18388140886633259,rbf,-1,True,7.327296664444106e-05,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-262,no_encoding,minority_coalescer,0.0017516626568532072,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.09414230179794553,1.3692618062770113e-09,15642.37580197983,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-265,one_hot_encoding,no_coalescense,,mean,standardize,,,,,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,24.560906712337708,f_regression,,,,decision_tree,,,,,,,,,,,,,mae,0.8468780775417923,1.0,None,0.0,9,17,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-269,no_encoding,minority_coalescer,0.013501988241596803,mean,robust_scaler,,,0.779736398051298,0.25,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.14290213312055283,fpr,f_regression,liblinear_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.19160000577407318,False,0.08447160725051764,True,1,squared_epsilon_insensitive,0.00013920807185728581,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-272,no_encoding,minority_coalescer,0.33019614194741737,mean,none,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.042751149363097055,8.347428498783927e-08,57.94899150758775,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-274,one_hot_encoding,minority_coalescer,0.010000000000000004,mean,robust_scaler,,,0.9591089096488032,0.014057471925138065,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,mse,None,0.9820315057084981,None,0.0,5,20,0.0,,,,,,,,,,,,feature_type
-276,no_encoding,no_coalescense,,most_frequent,robust_scaler,,,0.99052561287723,0.21219427729271156,random_trees_embedding,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,2,None,1,15,1.0,97,,,,,,decision_tree,,,,,,,,,,,,,mae,0.45721730917643494,1.0,None,0.0,1,2,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-279,no_encoding,minority_coalescer,0.4873131661139947,mean,standardize,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.43441750135120694,fpr,f_regression,k_nearest_neighbors,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,2,distance,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-282,one_hot_encoding,minority_coalescer,0.026353623217953964,mean,none,,,,,extra_trees_preproc_for_regression,True,friedman_mse,None,0.8609499435062687,None,9,15,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.023379450779571848,2.659222467552488e-10,292.5678884045162,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-285,no_encoding,no_coalescense,,mean,minmax,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.2186105871515939,fdr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,0.10377482408306521,0.016255400771699312,least_squares,255,None,65,70,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+idx,data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__,data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__,data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction,data_preprocessor:feature_type:numerical_transformer:imputation:strategy,data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__,data_preprocessor:feature_type:numerical_transformer:rescaling:quantile_transformer:n_quantiles,data_preprocessor:feature_type:numerical_transformer:rescaling:quantile_transformer:output_distribution,data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_max,data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_min,feature_preprocessor:__choice__,feature_preprocessor:extra_trees_preproc_for_regression:bootstrap,feature_preprocessor:extra_trees_preproc_for_regression:criterion,feature_preprocessor:extra_trees_preproc_for_regression:max_depth,feature_preprocessor:extra_trees_preproc_for_regression:max_features,feature_preprocessor:extra_trees_preproc_for_regression:max_leaf_nodes,feature_preprocessor:extra_trees_preproc_for_regression:min_samples_leaf,feature_preprocessor:extra_trees_preproc_for_regression:min_samples_split,feature_preprocessor:extra_trees_preproc_for_regression:min_weight_fraction_leaf,feature_preprocessor:extra_trees_preproc_for_regression:n_estimators,feature_preprocessor:fast_ica:algorithm,feature_preprocessor:fast_ica:fun,feature_preprocessor:fast_ica:n_components,feature_preprocessor:fast_ica:whiten,feature_preprocessor:feature_agglomeration:affinity,feature_preprocessor:feature_agglomeration:linkage,feature_preprocessor:feature_agglomeration:n_clusters,feature_preprocessor:feature_agglomeration:pooling_func,feature_preprocessor:kernel_pca:coef0,feature_preprocessor:kernel_pca:degree,feature_preprocessor:kernel_pca:gamma,feature_preprocessor:kernel_pca:kernel,feature_preprocessor:kernel_pca:n_components,feature_preprocessor:kitchen_sinks:gamma,feature_preprocessor:kitchen_sinks:n_components,feature_preprocessor:nystroem_sampler:coef0,feature_preprocessor:nystroem_sampler:degree,feature_preprocessor:nystroem_sampler:gamma,feature_preprocessor:nystroem_sampler:kernel,feature_preprocessor:nystroem_sampler:n_components,feature_preprocessor:pca:keep_variance,feature_preprocessor:pca:whiten,feature_preprocessor:polynomial:degree,feature_preprocessor:polynomial:include_bias,feature_preprocessor:polynomial:interaction_only,feature_preprocessor:random_trees_embedding:bootstrap,feature_preprocessor:random_trees_embedding:max_depth,feature_preprocessor:random_trees_embedding:max_leaf_nodes,feature_preprocessor:random_trees_embedding:min_samples_leaf,feature_preprocessor:random_trees_embedding:min_samples_split,feature_preprocessor:random_trees_embedding:min_weight_fraction_leaf,feature_preprocessor:random_trees_embedding:n_estimators,feature_preprocessor:select_percentile_regression:percentile,feature_preprocessor:select_percentile_regression:score_func,feature_preprocessor:select_rates_regression:alpha,feature_preprocessor:select_rates_regression:mode,feature_preprocessor:select_rates_regression:score_func,regressor:__choice__,regressor:adaboost:learning_rate,regressor:adaboost:loss,regressor:adaboost:max_depth,regressor:adaboost:n_estimators,regressor:ard_regression:alpha_1,regressor:ard_regression:alpha_2,regressor:ard_regression:fit_intercept,regressor:ard_regression:lambda_1,regressor:ard_regression:lambda_2,regressor:ard_regression:n_iter,regressor:ard_regression:threshold_lambda,regressor:ard_regression:tol,regressor:decision_tree:criterion,regressor:decision_tree:max_depth_factor,regressor:decision_tree:max_features,regressor:decision_tree:max_leaf_nodes,regressor:decision_tree:min_impurity_decrease,regressor:decision_tree:min_samples_leaf,regressor:decision_tree:min_samples_split,regressor:decision_tree:min_weight_fraction_leaf,regressor:extra_trees:bootstrap,regressor:extra_trees:criterion,regressor:extra_trees:max_depth,regressor:extra_trees:max_features,regressor:extra_trees:max_leaf_nodes,regressor:extra_trees:min_impurity_decrease,regressor:extra_trees:min_samples_leaf,regressor:extra_trees:min_samples_split,regressor:extra_trees:min_weight_fraction_leaf,regressor:gaussian_process:alpha,regressor:gaussian_process:thetaL,regressor:gaussian_process:thetaU,regressor:gradient_boosting:early_stop,regressor:gradient_boosting:l2_regularization,regressor:gradient_boosting:learning_rate,regressor:gradient_boosting:loss,regressor:gradient_boosting:max_bins,regressor:gradient_boosting:max_depth,regressor:gradient_boosting:max_leaf_nodes,regressor:gradient_boosting:min_samples_leaf,regressor:gradient_boosting:n_iter_no_change,regressor:gradient_boosting:scoring,regressor:gradient_boosting:tol,regressor:gradient_boosting:validation_fraction,regressor:k_nearest_neighbors:n_neighbors,regressor:k_nearest_neighbors:p,regressor:k_nearest_neighbors:weights,regressor:liblinear_svr:C,regressor:liblinear_svr:dual,regressor:liblinear_svr:epsilon,regressor:liblinear_svr:fit_intercept,regressor:liblinear_svr:intercept_scaling,regressor:liblinear_svr:loss,regressor:liblinear_svr:tol,regressor:libsvm_svr:C,regressor:libsvm_svr:coef0,regressor:libsvm_svr:degree,regressor:libsvm_svr:epsilon,regressor:libsvm_svr:gamma,regressor:libsvm_svr:kernel,regressor:libsvm_svr:max_iter,regressor:libsvm_svr:shrinking,regressor:libsvm_svr:tol,regressor:mlp:activation,regressor:mlp:alpha,regressor:mlp:batch_size,regressor:mlp:beta_1,regressor:mlp:beta_2,regressor:mlp:early_stopping,regressor:mlp:epsilon,regressor:mlp:hidden_layer_depth,regressor:mlp:learning_rate_init,regressor:mlp:n_iter_no_change,regressor:mlp:num_nodes_per_layer,regressor:mlp:shuffle,regressor:mlp:solver,regressor:mlp:tol,regressor:mlp:validation_fraction,regressor:random_forest:bootstrap,regressor:random_forest:criterion,regressor:random_forest:max_depth,regressor:random_forest:max_features,regressor:random_forest:max_leaf_nodes,regressor:random_forest:min_impurity_decrease,regressor:random_forest:min_samples_leaf,regressor:random_forest:min_samples_split,regressor:random_forest:min_weight_fraction_leaf,regressor:sgd:alpha,regressor:sgd:average,regressor:sgd:epsilon,regressor:sgd:eta0,regressor:sgd:fit_intercept,regressor:sgd:l1_ratio,regressor:sgd:learning_rate,regressor:sgd:loss,regressor:sgd:penalty,regressor:sgd:power_t,regressor:sgd:tol,data_preprocessor:__choice__
+2,no_encoding,no_coalescense,,mean,quantile_transformer,11,normal,,,feature_agglomeration,,,,,,,,,,,,,,euclidean,complete,25,median,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.0013353328453618832,1.8649142010631853e-07,3552.37611286252,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+5,no_encoding,no_coalescense,,mean,minmax,,,,,fast_ica,,,,,,,,,,parallel,logcosh,1640,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,True,mae,None,1.0,None,0.0,6,16,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+7,one_hot_encoding,no_coalescense,,most_frequent,quantile_transformer,809,uniform,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,True,,,,,,,,,,,,,sgd,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.01806079811541296,False,,0.015540128437738566,True,0.9326390049807726,constant,squared_loss,elasticnet,,0.00010576654619459039,feature_type
+11,no_encoding,minority_coalescer,0.007097225871050227,median,normalize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,True,,,,,,,,,,,,,k_nearest_neighbors,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1,2,distance,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+14,no_encoding,minority_coalescer,0.07108590272810227,median,minmax,,,,,extra_trees_preproc_for_regression,False,mae,None,1.0,None,2,3,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,True,mae,None,1.0,None,0.0,9,19,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+18,one_hot_encoding,no_coalescense,,mean,minmax,,,,,fast_ica,,,,,,,,,,deflation,logcosh,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,6057.379756266077,,,0.0011325324000394828,0.05291717770551696,rbf,-1,False,0.006686881523567499,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+20,one_hot_encoding,minority_coalescer,0.0015545063839819278,most_frequent,normalize,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,decision_tree,,,,,,,,,,,,,mae,0.7595438766001632,1.0,None,0.0,19,18,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+22,one_hot_encoding,no_coalescense,,mean,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,adaboost,0.8420513715405185,square,10,480,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+26,no_encoding,no_coalescense,,mean,robust_scaler,,,0.7194207293244546,0.25,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,False,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,1e-10,0.04073473488071534,least_squares,255,None,22,4,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+28,one_hot_encoding,minority_coalescer,0.050324425846607804,median,robust_scaler,,,0.8007277620832998,0.21762816739338928,feature_agglomeration,,,,,,,,,,,,,,cosine,complete,47,mean,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,friedman_mse,None,0.8902072637076673,None,0.0,1,10,0.0,,,,,,,,,,,,feature_type
+31,no_encoding,no_coalescense,,median,robust_scaler,,,0.8741033902488873,0.24982831110057324,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.0661055106742061,fwe,f_regression,ard_regression,,,,,0.00020075921434400403,5.67006828407246e-07,True,9.931380185031806e-09,1.1590381260870653e-10,300,98492.15951133538,0.0006697275349092505,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+36,no_encoding,minority_coalescer,0.32955230566093613,mean,robust_scaler,,,0.7272718855134701,0.08801586389902688,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,False,,,,,,,,,,,,,adaboost,1.1471062217551702,linear,8,167,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+38,one_hot_encoding,minority_coalescer,0.060839696469393995,mean,robust_scaler,,,0.711042225237951,0.09731632673930204,feature_agglomeration,,,,,,,,,,,,,,euclidean,complete,158,mean,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,False,mae,None,0.30197308921090893,None,0.0,15,8,0.0,,,,,,,,,,,,feature_type
+40,one_hot_encoding,no_coalescense,,most_frequent,minmax,,,,,fast_ica,,,,,,,,,,deflation,cube,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,k_nearest_neighbors,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1,2,distance,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+45,one_hot_encoding,no_coalescense,,most_frequent,robust_scaler,,,0.9547830281251513,0.2818601517145067,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,liblinear_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.8238476287807213,False,0.06889689389306164,True,1,squared_epsilon_insensitive,0.007803766455854209,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+46,no_encoding,no_coalescense,,mean,minmax,,,,,fast_ica,,,,,,,,,,deflation,logcosh,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,12959.890271609733,,,0.0026974286973887795,5.6258313008635,rbf,-1,False,0.006461735597762997,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+50,one_hot_encoding,no_coalescense,,mean,none,,,,,feature_agglomeration,,,,,,,,,,,,,,manhattan,average,189,mean,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,True,mse,None,0.625928697925399,None,0.0,13,17,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+53,one_hot_encoding,minority_coalescer,0.006445714372024774,most_frequent,standardize,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.023884335811188567,1.4170355084228403e-06,290.62967682941456,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+56,one_hot_encoding,minority_coalescer,0.00045833372603169316,most_frequent,minmax,,,,,random_trees_embedding,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,False,4,None,5,13,1.0,95,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,False,mae,None,0.7632599342253943,None,0.0,6,3,0.0,,,,,,,,,,,,feature_type
+58,one_hot_encoding,no_coalescense,,median,standardize,,,,,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,22.538520410186127,f_regression,,,,liblinear_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.036388789196735646,False,0.0012739627397164333,True,1,squared_epsilon_insensitive,0.020180468804448126,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+62,no_encoding,minority_coalescer,0.012569841099741286,mean,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,False,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,friedman_mse,None,0.849869957463498,None,0.0,1,7,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+64,one_hot_encoding,no_coalescense,,most_frequent,standardize,,,,,nystroem_sampler,,,,,,,,,,,,,,,,,,,,,,,,,,,,cosine,720,,,,,,,,,,,,,,,,,,sgd,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1.8275914377838947e-06,False,5.4187840539648986e-05,0.012800259746180712,True,,invscaling,epsilon_insensitive,l2,0.413658635698922,0.001985117774888825,feature_type
+68,one_hot_encoding,minority_coalescer,0.010000000000000004,mean,quantile_transformer,353,normal,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,adaboost,1.195117915830476,square,7,446,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+70,no_encoding,minority_coalescer,0.048677279020287845,mean,standardize,,,,,pca,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.9330163695321677,False,,,,,,,,,,,,,,,,k_nearest_neighbors,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,48,2,uniform,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+73,no_encoding,no_coalescense,,median,none,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.050094191586811006,0.0003548828620495203,4.892652257294903,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+77,one_hot_encoding,minority_coalescer,0.013690195921333696,mean,quantile_transformer,927,uniform,,,fast_ica,,,,,,,,,,parallel,logcosh,686,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,False,mse,None,0.3456663826588904,None,0.0,1,3,0.0,,,,,,,,,,,,feature_type
+79,one_hot_encoding,minority_coalescer,0.013559976666217482,mean,minmax,,,,,feature_agglomeration,,,,,,,,,,,,,,euclidean,ward,81,max,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,7074.759184676747,,,0.012970405947021068,0.017862025016886447,rbf,-1,False,0.0033700520159237702,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+82,no_encoding,minority_coalescer,0.05607310321489163,mean,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,28831.968873651404,0.39386733846748023,3,0.12370783564202235,0.0026233747431769617,poly,-1,True,4.714268123196739e-05,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+85,no_encoding,minority_coalescer,0.043611723722987744,median,robust_scaler,,,0.8153794856777101,0.2542106848357464,fast_ica,,,,,,,,,,parallel,logcosh,45,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,mse,None,0.7574904554752734,None,0.0,2,4,0.0,,,,,,,,,,,,feature_type
+90,no_encoding,no_coalescense,,most_frequent,robust_scaler,,,0.9967561696478335,0.026240229529164848,feature_agglomeration,,,,,,,,,,,,,,euclidean,ward,25,max,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,valid,1e-10,0.10799112896135016,least_squares,255,None,31,23,6,loss,1e-07,0.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+91,no_encoding,minority_coalescer,0.1781448810684882,median,normalize,,,,,fast_ica,,,,,,,,,,parallel,logcosh,1750,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,k_nearest_neighbors,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1,2,distance,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+93,one_hot_encoding,no_coalescense,,most_frequent,quantile_transformer,1148,uniform,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.14778326778462142,fpr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,1.7962284970386197e-10,0.05156555327055447,least_squares,255,None,35,12,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+98,no_encoding,no_coalescense,,median,none,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.34034793262861907,fwe,f_regression,k_nearest_neighbors,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,1,distance,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+99,one_hot_encoding,no_coalescense,,most_frequent,robust_scaler,,,0.9742867952016132,0.05179873386092966,extra_trees_preproc_for_regression,True,mse,None,0.9526743283178011,None,10,13,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,decision_tree,,,,,,,,,,,,,mae,0.7549749249776565,1.0,None,0.0,18,3,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+102,no_encoding,no_coalescense,,mean,minmax,,,,,fast_ica,,,,,,,,,,deflation,exp,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,221.71686867531432,,,0.0011345895753789173,0.03605472173139597,rbf,-1,True,0.03171505247204187,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+104,no_encoding,no_coalescense,,mean,standardize,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,mlp,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,relu,0.00034869363637350924,auto,0.9,0.999,train,1e-08,2,0.00011524903693777931,32,31,True,adam,0.0001,,,,,,,,,,,,,,,,,,,,,,feature_type
+107,no_encoding,no_coalescense,,mean,robust_scaler,,,0.7727512096172742,0.22461598115758682,feature_agglomeration,,,,,,,,,,,,,,manhattan,complete,21,max,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,2.208787572338781e-05,0.036087332404571744,least_squares,255,None,64,3,18,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+110,no_encoding,minority_coalescer,0.0006869013905922761,mean,quantile_transformer,1352,normal,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.07357548990881542,fpr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,3.20414911914726e-10,0.1279702444496931,least_squares,255,None,63,19,8,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+114,no_encoding,minority_coalescer,0.00017544300366817,most_frequent,normalize,,,,,extra_trees_preproc_for_regression,True,friedman_mse,None,1.0,None,9,2,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mae,None,0.9524455578856136,None,0.0,16,12,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+116,one_hot_encoding,minority_coalescer,0.0001745391328519669,most_frequent,robust_scaler,,,0.8057830372269097,0.24982831110057324,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.3621762718897781,fwe,f_regression,ard_regression,,,,,2.7664515192592053e-05,9.504988116581138e-07,True,6.50650698230178e-09,4.238533890074848e-07,300,78251.58542976103,0.0007301343236220855,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+120,no_encoding,no_coalescense,,most_frequent,quantile_transformer,698,uniform,,,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,80.29508560042179,f_regression,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,False,mae,None,0.7518614704756971,None,0.0,6,8,0.0,,,,,,,,,,,,feature_type
+124,one_hot_encoding,no_coalescense,,median,quantile_transformer,1779,normal,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,4.957506578736309e-07,0.05200721900508807,least_squares,255,None,4,2,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+125,no_encoding,minority_coalescer,0.026860406930453065,mean,quantile_transformer,1603,normal,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,True,,,,,,,,,,,,,adaboost,1.4602808978340507,linear,8,350,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+128,one_hot_encoding,minority_coalescer,0.010000000000000004,most_frequent,robust_scaler,,,0.8011683337278442,0.27942314040423333,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,4.46362791740829e-05,0.02648994712354678,least_squares,255,None,157,1,3,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+132,one_hot_encoding,minority_coalescer,0.0001745391328519669,most_frequent,robust_scaler,,,0.8057830372269097,0.24982831110057324,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.3621762718897781,fwe,f_regression,ard_regression,,,,,2.7664515192592053e-05,9.504988116581138e-07,True,6.50650698230178e-09,4.238533890074848e-07,300,78251.58542976103,0.0007301343236220855,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+135,no_encoding,minority_coalescer,0.00029916315779804966,median,quantile_transformer,894,uniform,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,5.348575844106585e-11,3.2802014300155454e-06,3027.1156250557783,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+138,no_encoding,minority_coalescer,0.018981164720696175,median,minmax,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.03175182874113965,0.00030344963288406407,64164.586360277535,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+142,one_hot_encoding,minority_coalescer,0.010000000000000004,median,minmax,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.1,fpr,f_regression,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,412.2233201783493,,,0.0011345895753789173,0.09283610863148048,rbf,-1,False,0.03171505247204187,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+143,no_encoding,no_coalescense,,median,standardize,,,,,pca,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.5334180754572447,False,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mae,None,0.8479567336155207,None,0.0,8,16,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+148,no_encoding,minority_coalescer,0.010000000000000004,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,ard_regression,,,,,0.0007449695943118128,4.4022561284356343e-07,True,9.649841844227597e-07,3.5339262480338594e-06,300,1747.977219451044,0.001975027709452003,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+150,no_encoding,no_coalescense,,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,friedman_mse,None,0.9722422278717789,None,0.0,1,4,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+151,one_hot_encoding,no_coalescense,,median,quantile_transformer,1112,uniform,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,mse,None,0.1878422016198133,None,0.0,2,2,0.0,,,,,,,,,,,,feature_type
+155,one_hot_encoding,minority_coalescer,0.0366721769670183,median,quantile_transformer,1000,uniform,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,False,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mse,None,1.0,None,0.0,3,12,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+157,one_hot_encoding,minority_coalescer,0.1281015395729456,mean,robust_scaler,,,0.8161790810768598,0.194653955004446,feature_agglomeration,,,,,,,,,,,,,,cosine,average,232,max,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,k_nearest_neighbors,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,21,1,distance,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+161,one_hot_encoding,no_coalescense,,mean,minmax,,,,,fast_ica,,,,,,,,,,deflation,cube,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,223.76455735355236,,,0.001517791120341912,0.11103484780954016,rbf,-1,True,0.0015245364690368247,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+163,one_hot_encoding,no_coalescense,,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,False,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.283161627129086,5.740230445424651e-08,64.73594928324005,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+167,no_encoding,no_coalescense,,mean,none,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,decision_tree,,,,,,,,,,,,,mae,1.3924788244078783,1.0,None,0.0,17,12,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+169,no_encoding,minority_coalescer,0.024758956617535213,median,standardize,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.22888181300939214,fdr,f_regression,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,14.663900495367534,,,0.0017630172009850445,0.02304400836020652,rbf,-1,False,0.01844898110925472,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+172,no_encoding,no_coalescense,,mean,standardize,,,,,feature_agglomeration,,,,,,,,,,,,,,manhattan,complete,385,mean,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,sgd,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1.238055706285357e-06,True,0.0035413980064916656,,True,,optimal,epsilon_insensitive,l2,,8.385117758196218e-05,feature_type
+176,one_hot_encoding,minority_coalescer,0.019566163649872924,most_frequent,robust_scaler,,,0.7200608810425068,0.22968043330398744,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.18539282936320728,fwe,f_regression,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mae,None,0.9029989558220115,None,0.0,1,2,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+178,one_hot_encoding,minority_coalescer,0.00011498059478619926,median,minmax,,,,,extra_trees_preproc_for_regression,True,mae,None,0.959288288500526,None,16,17,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,decision_tree,,,,,,,,,,,,,mae,0.4170386760209059,1.0,None,0.0,12,3,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+182,one_hot_encoding,minority_coalescer,0.006514462620801008,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,0.00956904848708048,0.028094986340152454,least_squares,255,None,154,13,20,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+185,no_encoding,minority_coalescer,0.005832981135631713,median,none,,,,,fast_ica,,,,,,,,,,parallel,exp,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1984.2957886752215,,,0.0037512089540495315,0.01898396920165309,rbf,-1,True,2.8040110952036678e-05,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+186,one_hot_encoding,minority_coalescer,0.060340760284342335,median,standardize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.00019882600974585908,2.3346820047921983e-05,72722.93613112147,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+189,one_hot_encoding,minority_coalescer,0.010687735018317065,most_frequent,quantile_transformer,715,normal,,,extra_trees_preproc_for_regression,False,mse,None,1.0,None,1,2,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,mae,None,1.0,None,0.0,2,2,0.0,,,,,,,,,,,,feature_type
+193,one_hot_encoding,minority_coalescer,0.02455131058287564,median,standardize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,valid,0.006125673891992339,0.05755219835553661,least_squares,255,None,3,105,1,loss,1e-07,0.34204169177546356,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+197,one_hot_encoding,minority_coalescer,0.008212209535832581,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.054214363629698496,5.913822061973022e-07,49143.56497731505,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+198,one_hot_encoding,no_coalescense,,most_frequent,robust_scaler,,,0.75372906924827,0.25601670030188695,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,valid,1.142411064078065e-10,0.07991394289005148,least_squares,255,None,20,20,10,loss,1e-07,0.09462663894906431,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+201,one_hot_encoding,no_coalescense,,mean,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,2.093528627734622e-10,0.056993947028442245,least_squares,255,None,96,7,20,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+205,one_hot_encoding,minority_coalescer,0.01700675326616134,median,standardize,,,,,feature_agglomeration,,,,,,,,,,,,,,cosine,average,151,median,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,decision_tree,,,,,,,,,,,,,mse,1.0282554380863351,1.0,None,0.0,19,3,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+208,no_encoding,no_coalescense,,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,True,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,valid,0.327916992926995,0.09896445264759084,least_squares,255,None,100,2,7,loss,1e-07,0.3111309300472759,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+211,no_encoding,no_coalescense,,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,180.22479438529933,,,0.0012571604901280202,0.10272820821863678,rbf,-1,False,0.02945259690926852,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+214,one_hot_encoding,no_coalescense,,mean,standardize,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.10380250296711345,fpr,f_regression,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,313.80394795972063,,,0.003099223059277561,0.017317093115152473,rbf,-1,True,0.024277944281241755,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+217,no_encoding,minority_coalescer,0.3075379022640153,median,robust_scaler,,,0.75,0.2227403297034476,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,mae,None,0.5867647620951765,None,0.0,12,3,0.0,,,,,,,,,,,,feature_type
+220,one_hot_encoding,minority_coalescer,0.0074901612162674314,median,quantile_transformer,1000,uniform,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.11837903484332993,fpr,f_regression,sgd,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.0009210650955968192,False,5.162916923614626e-05,0.010000000000000014,True,,invscaling,epsilon_insensitive,l1,0.25,0.0011697312333031576,feature_type
+222,no_encoding,minority_coalescer,0.002591037601166213,mean,none,,,,,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,30.46212550428878,mutual_info,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,True,mae,None,0.6717483424890341,None,0.0,20,4,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+225,no_encoding,no_coalescense,,most_frequent,robust_scaler,,,0.7561109696348165,0.25,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,friedman_mse,None,0.9940190674957999,None,0.0,1,2,0.0,,,,,,,,,,,,feature_type
+228,no_encoding,minority_coalescer,0.0005112414168823774,median,standardize,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.4807408968132736,fdr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,5.775517309881741e-08,0.020024969424259676,least_squares,255,None,156,85,16,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+232,no_encoding,no_coalescense,,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,False,,,,,,,,,,,,,sgd,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.0006517033225329654,False,0.012150149892783745,0.016444224834275295,True,1.7462342366289323e-09,invscaling,epsilon_insensitive,elasticnet,0.21521743568582094,0.002431731981071206,feature_type
+235,no_encoding,no_coalescense,,mean,standardize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.051722240295206036,3.6874673577742775e-09,2235.498740920408,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+237,no_encoding,minority_coalescer,0.00812390310244969,most_frequent,standardize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.03429300412839323,1.1283208177742579e-06,427.92917011793116,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+240,one_hot_encoding,minority_coalescer,0.010000000000000004,mean,standardize,,,,,extra_trees_preproc_for_regression,True,friedman_mse,None,0.969236220539822,None,1,2,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.013068012551322245,2.979079708104577e-07,50599.0613366392,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+244,one_hot_encoding,minority_coalescer,0.009333160306231441,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.030976606236786153,1.1454014935657008e-06,26.06908483490808,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+247,one_hot_encoding,minority_coalescer,0.014192135928954746,median,standardize,,,,,fast_ica,,,,,,,,,,deflation,exp,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1.4272136443763257,0.2694141260648879,2,0.10000000000000006,0.05757315877344016,poly,-1,False,0.0010000000000000002,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+250,no_encoding,minority_coalescer,0.0013706790419589269,most_frequent,minmax,,,,,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,36.16485710707785,mutual_info,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,False,friedman_mse,None,0.752819740456617,None,0.0,19,15,0.0,,,,,,,,,,,,feature_type
+253,no_encoding,minority_coalescer,0.26110798476806907,most_frequent,robust_scaler,,,0.7461372990016106,0.18481793818833603,extra_trees_preproc_for_regression,False,friedman_mse,None,0.754963329968397,None,13,20,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,True,mae,None,0.9353841799433302,None,0.0,20,8,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+257,one_hot_encoding,minority_coalescer,0.0216783950539192,mean,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,0.00010889929093369623,0.013461560146088193,least_squares,255,None,922,78,19,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+259,one_hot_encoding,no_coalescense,,median,none,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.23965115028414283,fdr,f_regression,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,460.76474217462135,,,0.005339969606710064,0.18388140886633259,rbf,-1,True,7.327296664444106e-05,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+262,no_encoding,minority_coalescer,0.0017516626568532072,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.09414230179794553,1.3692618062770113e-09,15642.37580197983,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+265,one_hot_encoding,no_coalescense,,mean,standardize,,,,,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,24.560906712337708,f_regression,,,,decision_tree,,,,,,,,,,,,,mae,0.8468780775417923,1.0,None,0.0,9,17,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+269,no_encoding,minority_coalescer,0.013501988241596803,mean,robust_scaler,,,0.779736398051298,0.25,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.14290213312055283,fpr,f_regression,liblinear_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.19160000577407318,False,0.08447160725051764,True,1,squared_epsilon_insensitive,0.00013920807185728581,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+272,no_encoding,minority_coalescer,0.33019614194741737,mean,none,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.042751149363097055,8.347428498783927e-08,57.94899150758775,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+274,one_hot_encoding,minority_coalescer,0.010000000000000004,mean,robust_scaler,,,0.9591089096488032,0.014057471925138065,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,mse,None,0.9820315057084981,None,0.0,5,20,0.0,,,,,,,,,,,,feature_type
+276,no_encoding,no_coalescense,,most_frequent,robust_scaler,,,0.99052561287723,0.21219427729271156,random_trees_embedding,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,2,None,1,15,1.0,97,,,,,,decision_tree,,,,,,,,,,,,,mae,0.45721730917643494,1.0,None,0.0,1,2,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+279,no_encoding,minority_coalescer,0.4873131661139947,mean,standardize,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.43441750135120694,fpr,f_regression,k_nearest_neighbors,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,2,distance,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+282,one_hot_encoding,minority_coalescer,0.026353623217953964,mean,none,,,,,extra_trees_preproc_for_regression,True,friedman_mse,None,0.8609499435062687,None,9,15,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.023379450779571848,2.659222467552488e-10,292.5678884045162,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+285,no_encoding,no_coalescense,,mean,minmax,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.2186105871515939,fdr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,0.10377482408306521,0.016255400771699312,least_squares,255,None,65,70,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
diff --git a/autosklearn/metalearning/files/median_absolute_error_regression_sparse/configurations.csv b/autosklearn/metalearning/files/median_absolute_error_regression_sparse/configurations.csv
index e0d0e1b96b..cd89a4e34d 100644
--- a/autosklearn/metalearning/files/median_absolute_error_regression_sparse/configurations.csv
+++ b/autosklearn/metalearning/files/median_absolute_error_regression_sparse/configurations.csv
@@ -1,98 +1,98 @@
-idx,data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__,data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__,data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction,data_preprocessor:feature_type:numerical_transformer:imputation:strategy,data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__,data_preprocessor:feature_type:numerical_transformer:rescaling:quantile_transformer:n_quantiles,data_preprocessor:feature_type:numerical_transformer:rescaling:quantile_transformer:output_distribution,data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_max,data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_min,feature_preprocessor:__choice__,feature_preprocessor:extra_trees_preproc_for_regression:bootstrap,feature_preprocessor:extra_trees_preproc_for_regression:criterion,feature_preprocessor:extra_trees_preproc_for_regression:max_depth,feature_preprocessor:extra_trees_preproc_for_regression:max_features,feature_preprocessor:extra_trees_preproc_for_regression:max_leaf_nodes,feature_preprocessor:extra_trees_preproc_for_regression:min_samples_leaf,feature_preprocessor:extra_trees_preproc_for_regression:min_samples_split,feature_preprocessor:extra_trees_preproc_for_regression:min_weight_fraction_leaf,feature_preprocessor:extra_trees_preproc_for_regression:n_estimators,feature_preprocessor:fast_ica:algorithm,feature_preprocessor:fast_ica:fun,feature_preprocessor:fast_ica:n_components,feature_preprocessor:fast_ica:whiten,feature_preprocessor:feature_agglomeration:affinity,feature_preprocessor:feature_agglomeration:linkage,feature_preprocessor:feature_agglomeration:n_clusters,feature_preprocessor:feature_agglomeration:pooling_func,feature_preprocessor:kernel_pca:coef0,feature_preprocessor:kernel_pca:degree,feature_preprocessor:kernel_pca:gamma,feature_preprocessor:kernel_pca:kernel,feature_preprocessor:kernel_pca:n_components,feature_preprocessor:kitchen_sinks:gamma,feature_preprocessor:kitchen_sinks:n_components,feature_preprocessor:nystroem_sampler:coef0,feature_preprocessor:nystroem_sampler:degree,feature_preprocessor:nystroem_sampler:gamma,feature_preprocessor:nystroem_sampler:kernel,feature_preprocessor:nystroem_sampler:n_components,feature_preprocessor:pca:keep_variance,feature_preprocessor:pca:whiten,feature_preprocessor:polynomial:degree,feature_preprocessor:polynomial:include_bias,feature_preprocessor:polynomial:interaction_only,feature_preprocessor:random_trees_embedding:bootstrap,feature_preprocessor:random_trees_embedding:max_depth,feature_preprocessor:random_trees_embedding:max_leaf_nodes,feature_preprocessor:random_trees_embedding:min_samples_leaf,feature_preprocessor:random_trees_embedding:min_samples_split,feature_preprocessor:random_trees_embedding:min_weight_fraction_leaf,feature_preprocessor:random_trees_embedding:n_estimators,feature_preprocessor:select_percentile_regression:percentile,feature_preprocessor:select_percentile_regression:score_func,feature_preprocessor:select_rates_regression:alpha,feature_preprocessor:select_rates_regression:mode,feature_preprocessor:select_rates_regression:score_func,regressor:__choice__,regressor:adaboost:learning_rate,regressor:adaboost:loss,regressor:adaboost:max_depth,regressor:adaboost:n_estimators,regressor:ard_regression:alpha_1,regressor:ard_regression:alpha_2,regressor:ard_regression:fit_intercept,regressor:ard_regression:lambda_1,regressor:ard_regression:lambda_2,regressor:ard_regression:n_iter,regressor:ard_regression:threshold_lambda,regressor:ard_regression:tol,regressor:decision_tree:criterion,regressor:decision_tree:max_depth_factor,regressor:decision_tree:max_features,regressor:decision_tree:max_leaf_nodes,regressor:decision_tree:min_impurity_decrease,regressor:decision_tree:min_samples_leaf,regressor:decision_tree:min_samples_split,regressor:decision_tree:min_weight_fraction_leaf,regressor:extra_trees:bootstrap,regressor:extra_trees:criterion,regressor:extra_trees:max_depth,regressor:extra_trees:max_features,regressor:extra_trees:max_leaf_nodes,regressor:extra_trees:min_impurity_decrease,regressor:extra_trees:min_samples_leaf,regressor:extra_trees:min_samples_split,regressor:extra_trees:min_weight_fraction_leaf,regressor:gaussian_process:alpha,regressor:gaussian_process:thetaL,regressor:gaussian_process:thetaU,regressor:gradient_boosting:early_stop,regressor:gradient_boosting:l2_regularization,regressor:gradient_boosting:learning_rate,regressor:gradient_boosting:loss,regressor:gradient_boosting:max_bins,regressor:gradient_boosting:max_depth,regressor:gradient_boosting:max_leaf_nodes,regressor:gradient_boosting:min_samples_leaf,regressor:gradient_boosting:n_iter_no_change,regressor:gradient_boosting:scoring,regressor:gradient_boosting:tol,regressor:gradient_boosting:validation_fraction,regressor:k_nearest_neighbors:n_neighbors,regressor:k_nearest_neighbors:p,regressor:k_nearest_neighbors:weights,regressor:liblinear_svr:C,regressor:liblinear_svr:dual,regressor:liblinear_svr:epsilon,regressor:liblinear_svr:fit_intercept,regressor:liblinear_svr:intercept_scaling,regressor:liblinear_svr:loss,regressor:liblinear_svr:tol,regressor:libsvm_svr:C,regressor:libsvm_svr:coef0,regressor:libsvm_svr:degree,regressor:libsvm_svr:epsilon,regressor:libsvm_svr:gamma,regressor:libsvm_svr:kernel,regressor:libsvm_svr:max_iter,regressor:libsvm_svr:shrinking,regressor:libsvm_svr:tol,regressor:mlp:activation,regressor:mlp:alpha,regressor:mlp:batch_size,regressor:mlp:beta_1,regressor:mlp:beta_2,regressor:mlp:early_stopping,regressor:mlp:epsilon,regressor:mlp:hidden_layer_depth,regressor:mlp:learning_rate_init,regressor:mlp:n_iter_no_change,regressor:mlp:num_nodes_per_layer,regressor:mlp:shuffle,regressor:mlp:solver,regressor:mlp:tol,regressor:mlp:validation_fraction,regressor:random_forest:bootstrap,regressor:random_forest:criterion,regressor:random_forest:max_depth,regressor:random_forest:max_features,regressor:random_forest:max_leaf_nodes,regressor:random_forest:min_impurity_decrease,regressor:random_forest:min_samples_leaf,regressor:random_forest:min_samples_split,regressor:random_forest:min_weight_fraction_leaf,regressor:sgd:alpha,regressor:sgd:average,regressor:sgd:epsilon,regressor:sgd:eta0,regressor:sgd:fit_intercept,regressor:sgd:l1_ratio,regressor:sgd:learning_rate,regressor:sgd:loss,regressor:sgd:penalty,regressor:sgd:power_t,regressor:sgd:tol,data_preprocessor:__choice__
-2,no_encoding,no_coalescense,,mean,quantile_transformer,11,normal,,,feature_agglomeration,,,,,,,,,,,,,,euclidean,complete,25,median,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.0013353328453618832,1.8649142010631853e-07,3552.37611286252,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-5,no_encoding,no_coalescense,,mean,minmax,,,,,fast_ica,,,,,,,,,,parallel,logcosh,1640,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,True,mae,None,1.0,None,0.0,6,16,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-7,one_hot_encoding,no_coalescense,,most_frequent,quantile_transformer,809,uniform,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,True,,,,,,,,,,,,,sgd,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.01806079811541296,False,,0.015540128437738566,True,0.9326390049807726,constant,squared_loss,elasticnet,,0.00010576654619459039,feature_type
-11,no_encoding,minority_coalescer,0.007097225871050227,median,normalize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,True,,,,,,,,,,,,,k_nearest_neighbors,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1,2,distance,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-14,no_encoding,minority_coalescer,0.07108590272810227,median,minmax,,,,,extra_trees_preproc_for_regression,False,mae,None,1.0,None,2,3,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,True,mae,None,1.0,None,0.0,9,19,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-18,one_hot_encoding,no_coalescense,,mean,minmax,,,,,fast_ica,,,,,,,,,,deflation,logcosh,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,6057.379756266077,,4,0.0011325324000394828,0.05291717770551696,rbf,-1,False,0.006686881523567499,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-20,one_hot_encoding,minority_coalescer,0.0015545063839819278,most_frequent,normalize,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,decision_tree,,,,,,,,,,,,,mae,0.7595438766001632,1.0,None,0.0,19,18,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-22,one_hot_encoding,no_coalescense,,mean,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,adaboost,0.8420513715405185,square,10,480,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-26,no_encoding,no_coalescense,,mean,robust_scaler,,,0.7194207293244546,0.25,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,False,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,1e-10,0.04073473488071534,least_squares,255,None,22,4,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-28,one_hot_encoding,minority_coalescer,0.050324425846607804,median,robust_scaler,,,0.8007277620832998,0.21762816739338928,feature_agglomeration,,,,,,,,,,,,,,cosine,complete,47,mean,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,friedman_mse,None,0.8902072637076673,None,0.0,1,10,0.0,,,,,,,,,,,,feature_type
-31,no_encoding,no_coalescense,,median,robust_scaler,,,0.8741033902488873,0.24982831110057324,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.0661055106742061,fwe,f_regression,ard_regression,,,,,0.00020075921434400403,5.67006828407246e-07,True,9.931380185031806e-09,1.1590381260870653e-10,300,98492.15951133538,0.0006697275349092505,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-36,no_encoding,minority_coalescer,0.32955230566093613,mean,robust_scaler,,,0.7272718855134701,0.08801586389902688,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,False,,,,,,,,,,,,,adaboost,1.1471062217551702,linear,8,167,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-38,one_hot_encoding,minority_coalescer,0.060839696469393995,mean,robust_scaler,,,0.711042225237951,0.09731632673930204,feature_agglomeration,,,,,,,,,,,,,,euclidean,complete,158,mean,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,False,mae,None,0.30197308921090893,None,0.0,15,8,0.0,,,,,,,,,,,,feature_type
-40,one_hot_encoding,no_coalescense,,most_frequent,minmax,,,,,fast_ica,,,,,,,,,,deflation,cube,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,k_nearest_neighbors,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1,2,distance,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-45,one_hot_encoding,no_coalescense,,most_frequent,robust_scaler,,,0.9547830281251513,0.2818601517145067,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,liblinear_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.8238476287807213,False,0.06889689389306164,True,1,squared_epsilon_insensitive,0.007803766455854209,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-46,no_encoding,no_coalescense,,mean,minmax,,,,,fast_ica,,,,,,,,,,deflation,logcosh,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,12959.890271609733,,2,0.0026974286973887795,5.6258313008635,rbf,-1,False,0.006461735597762997,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-50,one_hot_encoding,no_coalescense,,mean,none,,,,,feature_agglomeration,,,,,,,,,,,,,,manhattan,average,189,mean,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,True,mse,None,0.625928697925399,None,0.0,13,17,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-53,one_hot_encoding,minority_coalescer,0.006445714372024774,most_frequent,standardize,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.023884335811188567,1.4170355084228403e-06,290.62967682941456,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-56,one_hot_encoding,minority_coalescer,0.00045833372603169316,most_frequent,minmax,,,,,random_trees_embedding,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,False,4,None,5,13,1.0,95,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,False,mae,None,0.7632599342253943,None,0.0,6,3,0.0,,,,,,,,,,,,feature_type
-58,one_hot_encoding,no_coalescense,,median,standardize,,,,,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,22.538520410186127,f_regression,,,,liblinear_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.036388789196735646,False,0.0012739627397164333,True,1,squared_epsilon_insensitive,0.020180468804448126,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-62,no_encoding,minority_coalescer,0.012569841099741286,mean,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,False,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,friedman_mse,None,0.849869957463498,None,0.0,1,7,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-64,one_hot_encoding,no_coalescense,,most_frequent,standardize,,,,,nystroem_sampler,,,,,,,,,,,,,,,,,,,,,,,,,,,,cosine,720,,,,,,,,,,,,,,,,,,sgd,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1.8275914377838947e-06,False,5.4187840539648986e-05,0.012800259746180712,True,,invscaling,epsilon_insensitive,l2,0.413658635698922,0.001985117774888825,feature_type
-68,one_hot_encoding,minority_coalescer,0.010000000000000004,mean,quantile_transformer,353,normal,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,adaboost,1.195117915830476,square,7,446,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-70,no_encoding,minority_coalescer,0.048677279020287845,mean,standardize,,,,,pca,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.9330163695321677,False,,,,,,,,,,,,,,,,k_nearest_neighbors,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,48,2,uniform,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-73,no_encoding,no_coalescense,,median,none,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.050094191586811006,0.0003548828620495203,4.892652257294903,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-77,one_hot_encoding,minority_coalescer,0.013690195921333696,mean,quantile_transformer,927,uniform,,,fast_ica,,,,,,,,,,parallel,logcosh,686,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,False,mse,None,0.3456663826588904,None,0.0,1,3,0.0,,,,,,,,,,,,feature_type
-79,one_hot_encoding,minority_coalescer,0.013559976666217482,mean,minmax,,,,,feature_agglomeration,,,,,,,,,,,,,,euclidean,ward,81,max,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,7074.759184676747,,4,0.012970405947021068,0.017862025016886447,rbf,-1,False,0.0033700520159237702,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-82,no_encoding,minority_coalescer,0.05607310321489163,mean,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,28831.968873651404,0.39386733846748023,3,0.12370783564202235,0.0026233747431769617,poly,-1,True,4.714268123196739e-05,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-85,no_encoding,minority_coalescer,0.043611723722987744,median,robust_scaler,,,0.8153794856777101,0.2542106848357464,fast_ica,,,,,,,,,,parallel,logcosh,45,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,mse,None,0.7574904554752734,None,0.0,2,4,0.0,,,,,,,,,,,,feature_type
-90,no_encoding,no_coalescense,,most_frequent,robust_scaler,,,0.9967561696478335,0.026240229529164848,feature_agglomeration,,,,,,,,,,,,,,euclidean,ward,25,max,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,valid,1e-10,0.10799112896135016,least_squares,255,None,31,23,6,loss,1e-07,0.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-91,no_encoding,minority_coalescer,0.1781448810684882,median,normalize,,,,,fast_ica,,,,,,,,,,parallel,logcosh,1750,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,k_nearest_neighbors,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1,2,distance,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-93,one_hot_encoding,no_coalescense,,most_frequent,quantile_transformer,1148,uniform,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.14778326778462142,fpr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,1.7962284970386197e-10,0.05156555327055447,least_squares,255,None,35,12,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-98,no_encoding,no_coalescense,,median,none,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.34034793262861907,fwe,f_regression,k_nearest_neighbors,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,1,distance,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-99,one_hot_encoding,no_coalescense,,most_frequent,robust_scaler,,,0.9742867952016132,0.05179873386092966,extra_trees_preproc_for_regression,True,mse,None,0.9526743283178011,None,10,13,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,decision_tree,,,,,,,,,,,,,mae,0.7549749249776565,1.0,None,0.0,18,3,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-102,no_encoding,no_coalescense,,mean,minmax,,,,,fast_ica,,,,,,,,,,deflation,exp,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,221.71686867531432,,2,0.0011345895753789173,0.03605472173139597,rbf,-1,True,0.03171505247204187,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-104,no_encoding,no_coalescense,,mean,standardize,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,mlp,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,relu,0.00034869363637350924,auto,0.9,0.999,train,1e-08,2,0.00011524903693777931,32,31,True,adam,0.0001,,,,,,,,,,,,,,,,,,,,,,feature_type
-107,no_encoding,no_coalescense,,mean,robust_scaler,,,0.7727512096172742,0.22461598115758682,feature_agglomeration,,,,,,,,,,,,,,manhattan,complete,21,max,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,2.208787572338781e-05,0.036087332404571744,least_squares,255,None,64,3,18,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-110,no_encoding,minority_coalescer,0.0006869013905922761,mean,quantile_transformer,1352,normal,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.07357548990881542,fpr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,3.20414911914726e-10,0.1279702444496931,least_squares,255,None,63,19,8,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-114,no_encoding,minority_coalescer,0.00017544300366817,most_frequent,normalize,,,,,extra_trees_preproc_for_regression,True,friedman_mse,None,1.0,None,9,2,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mae,None,0.9524455578856136,None,0.0,16,12,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-116,one_hot_encoding,minority_coalescer,0.0001745391328519669,most_frequent,robust_scaler,,,0.8057830372269097,0.24982831110057324,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.3621762718897781,fwe,f_regression,ard_regression,,,,,2.7664515192592053e-05,9.504988116581138e-07,True,6.50650698230178e-09,4.238533890074848e-07,300,78251.58542976103,0.0007301343236220855,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-120,no_encoding,no_coalescense,,most_frequent,quantile_transformer,698,uniform,,,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,80.29508560042179,f_regression,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,False,mae,None,0.7518614704756971,None,0.0,6,8,0.0,,,,,,,,,,,,feature_type
-124,one_hot_encoding,no_coalescense,,median,quantile_transformer,1779,normal,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,4.957506578736309e-07,0.05200721900508807,least_squares,255,None,4,2,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-125,no_encoding,minority_coalescer,0.026860406930453065,mean,quantile_transformer,1603,normal,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,True,,,,,,,,,,,,,adaboost,1.4602808978340507,linear,8,350,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-128,one_hot_encoding,minority_coalescer,0.010000000000000004,most_frequent,robust_scaler,,,0.8011683337278442,0.27942314040423333,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,4.46362791740829e-05,0.02648994712354678,least_squares,255,None,157,1,3,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-132,one_hot_encoding,minority_coalescer,0.0001745391328519669,most_frequent,robust_scaler,,,0.8057830372269097,0.24982831110057324,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.3621762718897781,fwe,f_regression,ard_regression,,,,,2.7664515192592053e-05,9.504988116581138e-07,True,6.50650698230178e-09,4.238533890074848e-07,300,78251.58542976103,0.0007301343236220855,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-135,no_encoding,minority_coalescer,0.00029916315779804966,median,quantile_transformer,894,uniform,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,5.348575844106585e-11,3.2802014300155454e-06,3027.1156250557783,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-138,no_encoding,minority_coalescer,0.018981164720696175,median,minmax,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.03175182874113965,0.00030344963288406407,64164.586360277535,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-142,one_hot_encoding,minority_coalescer,0.010000000000000004,median,minmax,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.1,fpr,f_regression,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,412.2233201783493,,2,0.0011345895753789173,0.09283610863148048,rbf,-1,False,0.03171505247204187,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-143,no_encoding,no_coalescense,,median,standardize,,,,,pca,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.5334180754572447,False,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mae,None,0.8479567336155207,None,0.0,8,16,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-148,no_encoding,minority_coalescer,0.010000000000000004,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,ard_regression,,,,,0.0007449695943118128,4.4022561284356343e-07,True,9.649841844227597e-07,3.5339262480338594e-06,300,1747.977219451044,0.001975027709452003,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-150,no_encoding,no_coalescense,,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,friedman_mse,None,0.9722422278717789,None,0.0,1,4,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-151,one_hot_encoding,no_coalescense,,median,quantile_transformer,1112,uniform,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,mse,None,0.1878422016198133,None,0.0,2,2,0.0,,,,,,,,,,,,feature_type
-155,one_hot_encoding,minority_coalescer,0.0366721769670183,median,quantile_transformer,1000,uniform,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,False,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mse,None,1.0,None,0.0,3,12,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-157,one_hot_encoding,minority_coalescer,0.1281015395729456,mean,robust_scaler,,,0.8161790810768598,0.194653955004446,feature_agglomeration,,,,,,,,,,,,,,cosine,average,232,max,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,k_nearest_neighbors,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,21,1,distance,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-161,one_hot_encoding,no_coalescense,,mean,minmax,,,,,fast_ica,,,,,,,,,,deflation,cube,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,223.76455735355236,,2,0.001517791120341912,0.11103484780954016,rbf,-1,True,0.0015245364690368247,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-163,one_hot_encoding,no_coalescense,,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,False,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.283161627129086,5.740230445424651e-08,64.73594928324005,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-167,no_encoding,no_coalescense,,mean,none,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,decision_tree,,,,,,,,,,,,,mae,1.3924788244078783,1.0,None,0.0,17,12,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-169,no_encoding,minority_coalescer,0.024758956617535213,median,standardize,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.22888181300939214,fdr,f_regression,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,14.663900495367534,,4,0.0017630172009850445,0.02304400836020652,rbf,-1,False,0.01844898110925472,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-172,no_encoding,no_coalescense,,mean,standardize,,,,,feature_agglomeration,,,,,,,,,,,,,,manhattan,complete,385,mean,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,sgd,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1.238055706285357e-06,True,0.0035413980064916656,,True,,optimal,epsilon_insensitive,l2,,8.385117758196218e-05,feature_type
-176,one_hot_encoding,minority_coalescer,0.019566163649872924,most_frequent,robust_scaler,,,0.7200608810425068,0.22968043330398744,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.18539282936320728,fwe,f_regression,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mae,None,0.9029989558220115,None,0.0,1,2,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-178,one_hot_encoding,minority_coalescer,0.00011498059478619926,median,minmax,,,,,extra_trees_preproc_for_regression,True,mae,None,0.959288288500526,None,16,17,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,decision_tree,,,,,,,,,,,,,mae,0.4170386760209059,1.0,None,0.0,12,3,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-182,one_hot_encoding,minority_coalescer,0.006514462620801008,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,0.00956904848708048,0.028094986340152454,least_squares,255,None,154,13,20,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-185,no_encoding,minority_coalescer,0.005832981135631713,median,none,,,,,fast_ica,,,,,,,,,,parallel,exp,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1984.2957886752215,,2,0.0037512089540495315,0.01898396920165309,rbf,-1,True,2.8040110952036678e-05,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-186,one_hot_encoding,minority_coalescer,0.060340760284342335,median,standardize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.00019882600974585908,2.3346820047921983e-05,72722.93613112147,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-189,one_hot_encoding,minority_coalescer,0.010687735018317065,most_frequent,quantile_transformer,715,normal,,,extra_trees_preproc_for_regression,False,mse,None,1.0,None,1,2,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,mae,None,1.0,None,0.0,2,2,0.0,,,,,,,,,,,,feature_type
-193,one_hot_encoding,minority_coalescer,0.02455131058287564,median,standardize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,valid,0.006125673891992339,0.05755219835553661,least_squares,255,None,3,105,1,loss,1e-07,0.34204169177546356,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-197,one_hot_encoding,minority_coalescer,0.008212209535832581,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.054214363629698496,5.913822061973022e-07,49143.56497731505,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-198,one_hot_encoding,no_coalescense,,most_frequent,robust_scaler,,,0.75372906924827,0.25601670030188695,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,valid,1.142411064078065e-10,0.07991394289005148,least_squares,255,None,20,20,10,loss,1e-07,0.09462663894906431,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-201,one_hot_encoding,no_coalescense,,mean,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,2.093528627734622e-10,0.056993947028442245,least_squares,255,None,96,7,20,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-205,one_hot_encoding,minority_coalescer,0.01700675326616134,median,standardize,,,,,feature_agglomeration,,,,,,,,,,,,,,cosine,average,151,median,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,decision_tree,,,,,,,,,,,,,mse,1.0282554380863351,1.0,None,0.0,19,3,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-208,no_encoding,no_coalescense,,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,True,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,valid,0.327916992926995,0.09896445264759084,least_squares,255,None,100,2,7,loss,1e-07,0.3111309300472759,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-211,no_encoding,no_coalescense,,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,180.22479438529933,,4,0.0012571604901280202,0.10272820821863678,rbf,-1,False,0.02945259690926852,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-214,one_hot_encoding,no_coalescense,,mean,standardize,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.10380250296711345,fpr,f_regression,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,313.80394795972063,,2,0.003099223059277561,0.017317093115152473,rbf,-1,True,0.024277944281241755,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-217,no_encoding,minority_coalescer,0.3075379022640153,median,robust_scaler,,,0.75,0.2227403297034476,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,mae,None,0.5867647620951765,None,0.0,12,3,0.0,,,,,,,,,,,,feature_type
-220,one_hot_encoding,minority_coalescer,0.0074901612162674314,median,quantile_transformer,1000,uniform,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.11837903484332993,fpr,f_regression,sgd,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.0009210650955968192,False,5.162916923614626e-05,0.010000000000000014,True,,invscaling,epsilon_insensitive,l1,0.25,0.0011697312333031576,feature_type
-222,no_encoding,minority_coalescer,0.002591037601166213,mean,none,,,,,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,30.46212550428878,mutual_info,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,True,mae,None,0.6717483424890341,None,0.0,20,4,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-225,no_encoding,no_coalescense,,most_frequent,robust_scaler,,,0.7561109696348165,0.25,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,friedman_mse,None,0.9940190674957999,None,0.0,1,2,0.0,,,,,,,,,,,,feature_type
-228,no_encoding,minority_coalescer,0.0005112414168823774,median,standardize,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.4807408968132736,fdr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,5.775517309881741e-08,0.020024969424259676,least_squares,255,None,156,85,16,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-232,no_encoding,no_coalescense,,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,False,,,,,,,,,,,,,sgd,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.0006517033225329654,False,0.012150149892783745,0.016444224834275295,True,1.7462342366289323e-09,invscaling,epsilon_insensitive,elasticnet,0.21521743568582094,0.002431731981071206,feature_type
-235,no_encoding,no_coalescense,,mean,standardize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.051722240295206036,3.6874673577742775e-09,2235.498740920408,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-237,no_encoding,minority_coalescer,0.00812390310244969,most_frequent,standardize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.03429300412839323,1.1283208177742579e-06,427.92917011793116,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-240,one_hot_encoding,minority_coalescer,0.010000000000000004,mean,standardize,,,,,extra_trees_preproc_for_regression,True,friedman_mse,None,0.969236220539822,None,1,2,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.013068012551322245,2.979079708104577e-07,50599.0613366392,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-244,one_hot_encoding,minority_coalescer,0.009333160306231441,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.030976606236786153,1.1454014935657008e-06,26.06908483490808,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-247,one_hot_encoding,minority_coalescer,0.014192135928954746,median,standardize,,,,,fast_ica,,,,,,,,,,deflation,exp,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1.4272136443763257,0.2694141260648879,2,0.10000000000000006,0.05757315877344016,poly,-1,False,0.0010000000000000002,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-250,no_encoding,minority_coalescer,0.0013706790419589269,most_frequent,minmax,,,,,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,36.16485710707785,mutual_info,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,False,friedman_mse,None,0.752819740456617,None,0.0,19,15,0.0,,,,,,,,,,,,feature_type
-253,no_encoding,minority_coalescer,0.26110798476806907,most_frequent,robust_scaler,,,0.7461372990016106,0.18481793818833603,extra_trees_preproc_for_regression,False,friedman_mse,None,0.754963329968397,None,13,20,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,True,mae,None,0.9353841799433302,None,0.0,20,8,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-257,one_hot_encoding,minority_coalescer,0.0216783950539192,mean,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,0.00010889929093369623,0.013461560146088193,least_squares,255,None,922,78,19,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-259,one_hot_encoding,no_coalescense,,median,none,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.23965115028414283,fdr,f_regression,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,460.76474217462135,,4,0.005339969606710064,0.18388140886633259,rbf,-1,True,7.327296664444106e-05,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-262,no_encoding,minority_coalescer,0.0017516626568532072,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.09414230179794553,1.3692618062770113e-09,15642.37580197983,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-265,one_hot_encoding,no_coalescense,,mean,standardize,,,,,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,24.560906712337708,f_regression,,,,decision_tree,,,,,,,,,,,,,mae,0.8468780775417923,1.0,None,0.0,9,17,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-269,no_encoding,minority_coalescer,0.013501988241596803,mean,robust_scaler,,,0.779736398051298,0.25,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.14290213312055283,fpr,f_regression,liblinear_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.19160000577407318,False,0.08447160725051764,True,1,squared_epsilon_insensitive,0.00013920807185728581,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-272,no_encoding,minority_coalescer,0.33019614194741737,mean,none,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.042751149363097055,8.347428498783927e-08,57.94899150758775,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-274,one_hot_encoding,minority_coalescer,0.010000000000000004,mean,robust_scaler,,,0.9591089096488032,0.014057471925138065,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,mse,None,0.9820315057084981,None,0.0,5,20,0.0,,,,,,,,,,,,feature_type
-276,no_encoding,no_coalescense,,most_frequent,robust_scaler,,,0.99052561287723,0.21219427729271156,random_trees_embedding,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,2,None,1,15,1.0,97,,,,,,decision_tree,,,,,,,,,,,,,mae,0.45721730917643494,1.0,None,0.0,1,2,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-279,no_encoding,minority_coalescer,0.4873131661139947,mean,standardize,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.43441750135120694,fpr,f_regression,k_nearest_neighbors,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,2,distance,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-282,one_hot_encoding,minority_coalescer,0.026353623217953964,mean,none,,,,,extra_trees_preproc_for_regression,True,friedman_mse,None,0.8609499435062687,None,9,15,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.023379450779571848,2.659222467552488e-10,292.5678884045162,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-285,no_encoding,no_coalescense,,mean,minmax,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.2186105871515939,fdr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,0.10377482408306521,0.016255400771699312,least_squares,255,None,65,70,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+idx,data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__,data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__,data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction,data_preprocessor:feature_type:numerical_transformer:imputation:strategy,data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__,data_preprocessor:feature_type:numerical_transformer:rescaling:quantile_transformer:n_quantiles,data_preprocessor:feature_type:numerical_transformer:rescaling:quantile_transformer:output_distribution,data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_max,data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_min,feature_preprocessor:__choice__,feature_preprocessor:extra_trees_preproc_for_regression:bootstrap,feature_preprocessor:extra_trees_preproc_for_regression:criterion,feature_preprocessor:extra_trees_preproc_for_regression:max_depth,feature_preprocessor:extra_trees_preproc_for_regression:max_features,feature_preprocessor:extra_trees_preproc_for_regression:max_leaf_nodes,feature_preprocessor:extra_trees_preproc_for_regression:min_samples_leaf,feature_preprocessor:extra_trees_preproc_for_regression:min_samples_split,feature_preprocessor:extra_trees_preproc_for_regression:min_weight_fraction_leaf,feature_preprocessor:extra_trees_preproc_for_regression:n_estimators,feature_preprocessor:fast_ica:algorithm,feature_preprocessor:fast_ica:fun,feature_preprocessor:fast_ica:n_components,feature_preprocessor:fast_ica:whiten,feature_preprocessor:feature_agglomeration:affinity,feature_preprocessor:feature_agglomeration:linkage,feature_preprocessor:feature_agglomeration:n_clusters,feature_preprocessor:feature_agglomeration:pooling_func,feature_preprocessor:kernel_pca:coef0,feature_preprocessor:kernel_pca:degree,feature_preprocessor:kernel_pca:gamma,feature_preprocessor:kernel_pca:kernel,feature_preprocessor:kernel_pca:n_components,feature_preprocessor:kitchen_sinks:gamma,feature_preprocessor:kitchen_sinks:n_components,feature_preprocessor:nystroem_sampler:coef0,feature_preprocessor:nystroem_sampler:degree,feature_preprocessor:nystroem_sampler:gamma,feature_preprocessor:nystroem_sampler:kernel,feature_preprocessor:nystroem_sampler:n_components,feature_preprocessor:pca:keep_variance,feature_preprocessor:pca:whiten,feature_preprocessor:polynomial:degree,feature_preprocessor:polynomial:include_bias,feature_preprocessor:polynomial:interaction_only,feature_preprocessor:random_trees_embedding:bootstrap,feature_preprocessor:random_trees_embedding:max_depth,feature_preprocessor:random_trees_embedding:max_leaf_nodes,feature_preprocessor:random_trees_embedding:min_samples_leaf,feature_preprocessor:random_trees_embedding:min_samples_split,feature_preprocessor:random_trees_embedding:min_weight_fraction_leaf,feature_preprocessor:random_trees_embedding:n_estimators,feature_preprocessor:select_percentile_regression:percentile,feature_preprocessor:select_percentile_regression:score_func,feature_preprocessor:select_rates_regression:alpha,feature_preprocessor:select_rates_regression:mode,feature_preprocessor:select_rates_regression:score_func,regressor:__choice__,regressor:adaboost:learning_rate,regressor:adaboost:loss,regressor:adaboost:max_depth,regressor:adaboost:n_estimators,regressor:ard_regression:alpha_1,regressor:ard_regression:alpha_2,regressor:ard_regression:fit_intercept,regressor:ard_regression:lambda_1,regressor:ard_regression:lambda_2,regressor:ard_regression:n_iter,regressor:ard_regression:threshold_lambda,regressor:ard_regression:tol,regressor:decision_tree:criterion,regressor:decision_tree:max_depth_factor,regressor:decision_tree:max_features,regressor:decision_tree:max_leaf_nodes,regressor:decision_tree:min_impurity_decrease,regressor:decision_tree:min_samples_leaf,regressor:decision_tree:min_samples_split,regressor:decision_tree:min_weight_fraction_leaf,regressor:extra_trees:bootstrap,regressor:extra_trees:criterion,regressor:extra_trees:max_depth,regressor:extra_trees:max_features,regressor:extra_trees:max_leaf_nodes,regressor:extra_trees:min_impurity_decrease,regressor:extra_trees:min_samples_leaf,regressor:extra_trees:min_samples_split,regressor:extra_trees:min_weight_fraction_leaf,regressor:gaussian_process:alpha,regressor:gaussian_process:thetaL,regressor:gaussian_process:thetaU,regressor:gradient_boosting:early_stop,regressor:gradient_boosting:l2_regularization,regressor:gradient_boosting:learning_rate,regressor:gradient_boosting:loss,regressor:gradient_boosting:max_bins,regressor:gradient_boosting:max_depth,regressor:gradient_boosting:max_leaf_nodes,regressor:gradient_boosting:min_samples_leaf,regressor:gradient_boosting:n_iter_no_change,regressor:gradient_boosting:scoring,regressor:gradient_boosting:tol,regressor:gradient_boosting:validation_fraction,regressor:k_nearest_neighbors:n_neighbors,regressor:k_nearest_neighbors:p,regressor:k_nearest_neighbors:weights,regressor:liblinear_svr:C,regressor:liblinear_svr:dual,regressor:liblinear_svr:epsilon,regressor:liblinear_svr:fit_intercept,regressor:liblinear_svr:intercept_scaling,regressor:liblinear_svr:loss,regressor:liblinear_svr:tol,regressor:libsvm_svr:C,regressor:libsvm_svr:coef0,regressor:libsvm_svr:degree,regressor:libsvm_svr:epsilon,regressor:libsvm_svr:gamma,regressor:libsvm_svr:kernel,regressor:libsvm_svr:max_iter,regressor:libsvm_svr:shrinking,regressor:libsvm_svr:tol,regressor:mlp:activation,regressor:mlp:alpha,regressor:mlp:batch_size,regressor:mlp:beta_1,regressor:mlp:beta_2,regressor:mlp:early_stopping,regressor:mlp:epsilon,regressor:mlp:hidden_layer_depth,regressor:mlp:learning_rate_init,regressor:mlp:n_iter_no_change,regressor:mlp:num_nodes_per_layer,regressor:mlp:shuffle,regressor:mlp:solver,regressor:mlp:tol,regressor:mlp:validation_fraction,regressor:random_forest:bootstrap,regressor:random_forest:criterion,regressor:random_forest:max_depth,regressor:random_forest:max_features,regressor:random_forest:max_leaf_nodes,regressor:random_forest:min_impurity_decrease,regressor:random_forest:min_samples_leaf,regressor:random_forest:min_samples_split,regressor:random_forest:min_weight_fraction_leaf,regressor:sgd:alpha,regressor:sgd:average,regressor:sgd:epsilon,regressor:sgd:eta0,regressor:sgd:fit_intercept,regressor:sgd:l1_ratio,regressor:sgd:learning_rate,regressor:sgd:loss,regressor:sgd:penalty,regressor:sgd:power_t,regressor:sgd:tol,data_preprocessor:__choice__
+2,no_encoding,no_coalescense,,mean,quantile_transformer,11,normal,,,feature_agglomeration,,,,,,,,,,,,,,euclidean,complete,25,median,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.0013353328453618832,1.8649142010631853e-07,3552.37611286252,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+5,no_encoding,no_coalescense,,mean,minmax,,,,,fast_ica,,,,,,,,,,parallel,logcosh,1640,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,True,mae,None,1.0,None,0.0,6,16,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+7,one_hot_encoding,no_coalescense,,most_frequent,quantile_transformer,809,uniform,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,True,,,,,,,,,,,,,sgd,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.01806079811541296,False,,0.015540128437738566,True,0.9326390049807726,constant,squared_loss,elasticnet,,0.00010576654619459039,feature_type
+11,no_encoding,minority_coalescer,0.007097225871050227,median,normalize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,True,,,,,,,,,,,,,k_nearest_neighbors,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1,2,distance,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+14,no_encoding,minority_coalescer,0.07108590272810227,median,minmax,,,,,extra_trees_preproc_for_regression,False,mae,None,1.0,None,2,3,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,True,mae,None,1.0,None,0.0,9,19,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+18,one_hot_encoding,no_coalescense,,mean,minmax,,,,,fast_ica,,,,,,,,,,deflation,logcosh,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,6057.379756266077,,,0.0011325324000394828,0.05291717770551696,rbf,-1,False,0.006686881523567499,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+20,one_hot_encoding,minority_coalescer,0.0015545063839819278,most_frequent,normalize,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,decision_tree,,,,,,,,,,,,,mae,0.7595438766001632,1.0,None,0.0,19,18,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+22,one_hot_encoding,no_coalescense,,mean,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,adaboost,0.8420513715405185,square,10,480,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+26,no_encoding,no_coalescense,,mean,robust_scaler,,,0.7194207293244546,0.25,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,False,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,1e-10,0.04073473488071534,least_squares,255,None,22,4,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+28,one_hot_encoding,minority_coalescer,0.050324425846607804,median,robust_scaler,,,0.8007277620832998,0.21762816739338928,feature_agglomeration,,,,,,,,,,,,,,cosine,complete,47,mean,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,friedman_mse,None,0.8902072637076673,None,0.0,1,10,0.0,,,,,,,,,,,,feature_type
+31,no_encoding,no_coalescense,,median,robust_scaler,,,0.8741033902488873,0.24982831110057324,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.0661055106742061,fwe,f_regression,ard_regression,,,,,0.00020075921434400403,5.67006828407246e-07,True,9.931380185031806e-09,1.1590381260870653e-10,300,98492.15951133538,0.0006697275349092505,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+36,no_encoding,minority_coalescer,0.32955230566093613,mean,robust_scaler,,,0.7272718855134701,0.08801586389902688,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,False,,,,,,,,,,,,,adaboost,1.1471062217551702,linear,8,167,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+38,one_hot_encoding,minority_coalescer,0.060839696469393995,mean,robust_scaler,,,0.711042225237951,0.09731632673930204,feature_agglomeration,,,,,,,,,,,,,,euclidean,complete,158,mean,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,False,mae,None,0.30197308921090893,None,0.0,15,8,0.0,,,,,,,,,,,,feature_type
+40,one_hot_encoding,no_coalescense,,most_frequent,minmax,,,,,fast_ica,,,,,,,,,,deflation,cube,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,k_nearest_neighbors,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1,2,distance,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+45,one_hot_encoding,no_coalescense,,most_frequent,robust_scaler,,,0.9547830281251513,0.2818601517145067,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,liblinear_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.8238476287807213,False,0.06889689389306164,True,1,squared_epsilon_insensitive,0.007803766455854209,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+46,no_encoding,no_coalescense,,mean,minmax,,,,,fast_ica,,,,,,,,,,deflation,logcosh,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,12959.890271609733,,,0.0026974286973887795,5.6258313008635,rbf,-1,False,0.006461735597762997,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+50,one_hot_encoding,no_coalescense,,mean,none,,,,,feature_agglomeration,,,,,,,,,,,,,,manhattan,average,189,mean,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,True,mse,None,0.625928697925399,None,0.0,13,17,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+53,one_hot_encoding,minority_coalescer,0.006445714372024774,most_frequent,standardize,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.023884335811188567,1.4170355084228403e-06,290.62967682941456,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+56,one_hot_encoding,minority_coalescer,0.00045833372603169316,most_frequent,minmax,,,,,random_trees_embedding,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,False,4,None,5,13,1.0,95,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,False,mae,None,0.7632599342253943,None,0.0,6,3,0.0,,,,,,,,,,,,feature_type
+58,one_hot_encoding,no_coalescense,,median,standardize,,,,,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,22.538520410186127,f_regression,,,,liblinear_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.036388789196735646,False,0.0012739627397164333,True,1,squared_epsilon_insensitive,0.020180468804448126,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+62,no_encoding,minority_coalescer,0.012569841099741286,mean,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,False,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,friedman_mse,None,0.849869957463498,None,0.0,1,7,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+64,one_hot_encoding,no_coalescense,,most_frequent,standardize,,,,,nystroem_sampler,,,,,,,,,,,,,,,,,,,,,,,,,,,,cosine,720,,,,,,,,,,,,,,,,,,sgd,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1.8275914377838947e-06,False,5.4187840539648986e-05,0.012800259746180712,True,,invscaling,epsilon_insensitive,l2,0.413658635698922,0.001985117774888825,feature_type
+68,one_hot_encoding,minority_coalescer,0.010000000000000004,mean,quantile_transformer,353,normal,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,adaboost,1.195117915830476,square,7,446,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+70,no_encoding,minority_coalescer,0.048677279020287845,mean,standardize,,,,,pca,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.9330163695321677,False,,,,,,,,,,,,,,,,k_nearest_neighbors,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,48,2,uniform,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+73,no_encoding,no_coalescense,,median,none,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.050094191586811006,0.0003548828620495203,4.892652257294903,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+77,one_hot_encoding,minority_coalescer,0.013690195921333696,mean,quantile_transformer,927,uniform,,,fast_ica,,,,,,,,,,parallel,logcosh,686,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,False,mse,None,0.3456663826588904,None,0.0,1,3,0.0,,,,,,,,,,,,feature_type
+79,one_hot_encoding,minority_coalescer,0.013559976666217482,mean,minmax,,,,,feature_agglomeration,,,,,,,,,,,,,,euclidean,ward,81,max,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,7074.759184676747,,,0.012970405947021068,0.017862025016886447,rbf,-1,False,0.0033700520159237702,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+82,no_encoding,minority_coalescer,0.05607310321489163,mean,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,28831.968873651404,0.39386733846748023,3,0.12370783564202235,0.0026233747431769617,poly,-1,True,4.714268123196739e-05,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+85,no_encoding,minority_coalescer,0.043611723722987744,median,robust_scaler,,,0.8153794856777101,0.2542106848357464,fast_ica,,,,,,,,,,parallel,logcosh,45,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,mse,None,0.7574904554752734,None,0.0,2,4,0.0,,,,,,,,,,,,feature_type
+90,no_encoding,no_coalescense,,most_frequent,robust_scaler,,,0.9967561696478335,0.026240229529164848,feature_agglomeration,,,,,,,,,,,,,,euclidean,ward,25,max,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,valid,1e-10,0.10799112896135016,least_squares,255,None,31,23,6,loss,1e-07,0.1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+91,no_encoding,minority_coalescer,0.1781448810684882,median,normalize,,,,,fast_ica,,,,,,,,,,parallel,logcosh,1750,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,k_nearest_neighbors,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1,2,distance,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+93,one_hot_encoding,no_coalescense,,most_frequent,quantile_transformer,1148,uniform,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.14778326778462142,fpr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,1.7962284970386197e-10,0.05156555327055447,least_squares,255,None,35,12,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+98,no_encoding,no_coalescense,,median,none,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.34034793262861907,fwe,f_regression,k_nearest_neighbors,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,1,distance,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+99,one_hot_encoding,no_coalescense,,most_frequent,robust_scaler,,,0.9742867952016132,0.05179873386092966,extra_trees_preproc_for_regression,True,mse,None,0.9526743283178011,None,10,13,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,decision_tree,,,,,,,,,,,,,mae,0.7549749249776565,1.0,None,0.0,18,3,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+102,no_encoding,no_coalescense,,mean,minmax,,,,,fast_ica,,,,,,,,,,deflation,exp,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,221.71686867531432,,,0.0011345895753789173,0.03605472173139597,rbf,-1,True,0.03171505247204187,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+104,no_encoding,no_coalescense,,mean,standardize,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,mlp,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,relu,0.00034869363637350924,auto,0.9,0.999,train,1e-08,2,0.00011524903693777931,32,31,True,adam,0.0001,,,,,,,,,,,,,,,,,,,,,,feature_type
+107,no_encoding,no_coalescense,,mean,robust_scaler,,,0.7727512096172742,0.22461598115758682,feature_agglomeration,,,,,,,,,,,,,,manhattan,complete,21,max,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,2.208787572338781e-05,0.036087332404571744,least_squares,255,None,64,3,18,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+110,no_encoding,minority_coalescer,0.0006869013905922761,mean,quantile_transformer,1352,normal,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.07357548990881542,fpr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,3.20414911914726e-10,0.1279702444496931,least_squares,255,None,63,19,8,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+114,no_encoding,minority_coalescer,0.00017544300366817,most_frequent,normalize,,,,,extra_trees_preproc_for_regression,True,friedman_mse,None,1.0,None,9,2,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mae,None,0.9524455578856136,None,0.0,16,12,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+116,one_hot_encoding,minority_coalescer,0.0001745391328519669,most_frequent,robust_scaler,,,0.8057830372269097,0.24982831110057324,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.3621762718897781,fwe,f_regression,ard_regression,,,,,2.7664515192592053e-05,9.504988116581138e-07,True,6.50650698230178e-09,4.238533890074848e-07,300,78251.58542976103,0.0007301343236220855,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+120,no_encoding,no_coalescense,,most_frequent,quantile_transformer,698,uniform,,,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,80.29508560042179,f_regression,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,False,mae,None,0.7518614704756971,None,0.0,6,8,0.0,,,,,,,,,,,,feature_type
+124,one_hot_encoding,no_coalescense,,median,quantile_transformer,1779,normal,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,4.957506578736309e-07,0.05200721900508807,least_squares,255,None,4,2,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+125,no_encoding,minority_coalescer,0.026860406930453065,mean,quantile_transformer,1603,normal,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,True,,,,,,,,,,,,,adaboost,1.4602808978340507,linear,8,350,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+128,one_hot_encoding,minority_coalescer,0.010000000000000004,most_frequent,robust_scaler,,,0.8011683337278442,0.27942314040423333,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,4.46362791740829e-05,0.02648994712354678,least_squares,255,None,157,1,3,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+132,one_hot_encoding,minority_coalescer,0.0001745391328519669,most_frequent,robust_scaler,,,0.8057830372269097,0.24982831110057324,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.3621762718897781,fwe,f_regression,ard_regression,,,,,2.7664515192592053e-05,9.504988116581138e-07,True,6.50650698230178e-09,4.238533890074848e-07,300,78251.58542976103,0.0007301343236220855,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+135,no_encoding,minority_coalescer,0.00029916315779804966,median,quantile_transformer,894,uniform,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,5.348575844106585e-11,3.2802014300155454e-06,3027.1156250557783,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+138,no_encoding,minority_coalescer,0.018981164720696175,median,minmax,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.03175182874113965,0.00030344963288406407,64164.586360277535,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+142,one_hot_encoding,minority_coalescer,0.010000000000000004,median,minmax,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.1,fpr,f_regression,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,412.2233201783493,,,0.0011345895753789173,0.09283610863148048,rbf,-1,False,0.03171505247204187,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+143,no_encoding,no_coalescense,,median,standardize,,,,,pca,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.5334180754572447,False,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mae,None,0.8479567336155207,None,0.0,8,16,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+148,no_encoding,minority_coalescer,0.010000000000000004,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,ard_regression,,,,,0.0007449695943118128,4.4022561284356343e-07,True,9.649841844227597e-07,3.5339262480338594e-06,300,1747.977219451044,0.001975027709452003,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+150,no_encoding,no_coalescense,,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,friedman_mse,None,0.9722422278717789,None,0.0,1,4,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+151,one_hot_encoding,no_coalescense,,median,quantile_transformer,1112,uniform,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,mse,None,0.1878422016198133,None,0.0,2,2,0.0,,,,,,,,,,,,feature_type
+155,one_hot_encoding,minority_coalescer,0.0366721769670183,median,quantile_transformer,1000,uniform,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,False,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mse,None,1.0,None,0.0,3,12,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+157,one_hot_encoding,minority_coalescer,0.1281015395729456,mean,robust_scaler,,,0.8161790810768598,0.194653955004446,feature_agglomeration,,,,,,,,,,,,,,cosine,average,232,max,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,k_nearest_neighbors,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,21,1,distance,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+161,one_hot_encoding,no_coalescense,,mean,minmax,,,,,fast_ica,,,,,,,,,,deflation,cube,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,223.76455735355236,,,0.001517791120341912,0.11103484780954016,rbf,-1,True,0.0015245364690368247,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+163,one_hot_encoding,no_coalescense,,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,False,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.283161627129086,5.740230445424651e-08,64.73594928324005,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+167,no_encoding,no_coalescense,,mean,none,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,decision_tree,,,,,,,,,,,,,mae,1.3924788244078783,1.0,None,0.0,17,12,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+169,no_encoding,minority_coalescer,0.024758956617535213,median,standardize,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.22888181300939214,fdr,f_regression,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,14.663900495367534,,,0.0017630172009850445,0.02304400836020652,rbf,-1,False,0.01844898110925472,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+172,no_encoding,no_coalescense,,mean,standardize,,,,,feature_agglomeration,,,,,,,,,,,,,,manhattan,complete,385,mean,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,sgd,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1.238055706285357e-06,True,0.0035413980064916656,,True,,optimal,epsilon_insensitive,l2,,8.385117758196218e-05,feature_type
+176,one_hot_encoding,minority_coalescer,0.019566163649872924,most_frequent,robust_scaler,,,0.7200608810425068,0.22968043330398744,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.18539282936320728,fwe,f_regression,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mae,None,0.9029989558220115,None,0.0,1,2,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+178,one_hot_encoding,minority_coalescer,0.00011498059478619926,median,minmax,,,,,extra_trees_preproc_for_regression,True,mae,None,0.959288288500526,None,16,17,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,decision_tree,,,,,,,,,,,,,mae,0.4170386760209059,1.0,None,0.0,12,3,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+182,one_hot_encoding,minority_coalescer,0.006514462620801008,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,0.00956904848708048,0.028094986340152454,least_squares,255,None,154,13,20,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+185,no_encoding,minority_coalescer,0.005832981135631713,median,none,,,,,fast_ica,,,,,,,,,,parallel,exp,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1984.2957886752215,,,0.0037512089540495315,0.01898396920165309,rbf,-1,True,2.8040110952036678e-05,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+186,one_hot_encoding,minority_coalescer,0.060340760284342335,median,standardize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.00019882600974585908,2.3346820047921983e-05,72722.93613112147,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+189,one_hot_encoding,minority_coalescer,0.010687735018317065,most_frequent,quantile_transformer,715,normal,,,extra_trees_preproc_for_regression,False,mse,None,1.0,None,1,2,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,mae,None,1.0,None,0.0,2,2,0.0,,,,,,,,,,,,feature_type
+193,one_hot_encoding,minority_coalescer,0.02455131058287564,median,standardize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,valid,0.006125673891992339,0.05755219835553661,least_squares,255,None,3,105,1,loss,1e-07,0.34204169177546356,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+197,one_hot_encoding,minority_coalescer,0.008212209535832581,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.054214363629698496,5.913822061973022e-07,49143.56497731505,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+198,one_hot_encoding,no_coalescense,,most_frequent,robust_scaler,,,0.75372906924827,0.25601670030188695,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,valid,1.142411064078065e-10,0.07991394289005148,least_squares,255,None,20,20,10,loss,1e-07,0.09462663894906431,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+201,one_hot_encoding,no_coalescense,,mean,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,2.093528627734622e-10,0.056993947028442245,least_squares,255,None,96,7,20,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+205,one_hot_encoding,minority_coalescer,0.01700675326616134,median,standardize,,,,,feature_agglomeration,,,,,,,,,,,,,,cosine,average,151,median,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,decision_tree,,,,,,,,,,,,,mse,1.0282554380863351,1.0,None,0.0,19,3,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+208,no_encoding,no_coalescense,,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,True,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,valid,0.327916992926995,0.09896445264759084,least_squares,255,None,100,2,7,loss,1e-07,0.3111309300472759,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+211,no_encoding,no_coalescense,,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,180.22479438529933,,,0.0012571604901280202,0.10272820821863678,rbf,-1,False,0.02945259690926852,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+214,one_hot_encoding,no_coalescense,,mean,standardize,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.10380250296711345,fpr,f_regression,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,313.80394795972063,,,0.003099223059277561,0.017317093115152473,rbf,-1,True,0.024277944281241755,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+217,no_encoding,minority_coalescer,0.3075379022640153,median,robust_scaler,,,0.75,0.2227403297034476,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,mae,None,0.5867647620951765,None,0.0,12,3,0.0,,,,,,,,,,,,feature_type
+220,one_hot_encoding,minority_coalescer,0.0074901612162674314,median,quantile_transformer,1000,uniform,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.11837903484332993,fpr,f_regression,sgd,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.0009210650955968192,False,5.162916923614626e-05,0.010000000000000014,True,,invscaling,epsilon_insensitive,l1,0.25,0.0011697312333031576,feature_type
+222,no_encoding,minority_coalescer,0.002591037601166213,mean,none,,,,,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,30.46212550428878,mutual_info,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,True,mae,None,0.6717483424890341,None,0.0,20,4,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+225,no_encoding,no_coalescense,,most_frequent,robust_scaler,,,0.7561109696348165,0.25,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,friedman_mse,None,0.9940190674957999,None,0.0,1,2,0.0,,,,,,,,,,,,feature_type
+228,no_encoding,minority_coalescer,0.0005112414168823774,median,standardize,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.4807408968132736,fdr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,5.775517309881741e-08,0.020024969424259676,least_squares,255,None,156,85,16,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+232,no_encoding,no_coalescense,,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,False,,,,,,,,,,,,,sgd,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.0006517033225329654,False,0.012150149892783745,0.016444224834275295,True,1.7462342366289323e-09,invscaling,epsilon_insensitive,elasticnet,0.21521743568582094,0.002431731981071206,feature_type
+235,no_encoding,no_coalescense,,mean,standardize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.051722240295206036,3.6874673577742775e-09,2235.498740920408,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+237,no_encoding,minority_coalescer,0.00812390310244969,most_frequent,standardize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.03429300412839323,1.1283208177742579e-06,427.92917011793116,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+240,one_hot_encoding,minority_coalescer,0.010000000000000004,mean,standardize,,,,,extra_trees_preproc_for_regression,True,friedman_mse,None,0.969236220539822,None,1,2,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.013068012551322245,2.979079708104577e-07,50599.0613366392,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+244,one_hot_encoding,minority_coalescer,0.009333160306231441,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.030976606236786153,1.1454014935657008e-06,26.06908483490808,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+247,one_hot_encoding,minority_coalescer,0.014192135928954746,median,standardize,,,,,fast_ica,,,,,,,,,,deflation,exp,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1.4272136443763257,0.2694141260648879,2,0.10000000000000006,0.05757315877344016,poly,-1,False,0.0010000000000000002,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+250,no_encoding,minority_coalescer,0.0013706790419589269,most_frequent,minmax,,,,,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,36.16485710707785,mutual_info,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,False,friedman_mse,None,0.752819740456617,None,0.0,19,15,0.0,,,,,,,,,,,,feature_type
+253,no_encoding,minority_coalescer,0.26110798476806907,most_frequent,robust_scaler,,,0.7461372990016106,0.18481793818833603,extra_trees_preproc_for_regression,False,friedman_mse,None,0.754963329968397,None,13,20,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,True,mae,None,0.9353841799433302,None,0.0,20,8,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+257,one_hot_encoding,minority_coalescer,0.0216783950539192,mean,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,0.00010889929093369623,0.013461560146088193,least_squares,255,None,922,78,19,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+259,one_hot_encoding,no_coalescense,,median,none,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.23965115028414283,fdr,f_regression,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,460.76474217462135,,,0.005339969606710064,0.18388140886633259,rbf,-1,True,7.327296664444106e-05,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+262,no_encoding,minority_coalescer,0.0017516626568532072,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.09414230179794553,1.3692618062770113e-09,15642.37580197983,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+265,one_hot_encoding,no_coalescense,,mean,standardize,,,,,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,24.560906712337708,f_regression,,,,decision_tree,,,,,,,,,,,,,mae,0.8468780775417923,1.0,None,0.0,9,17,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+269,no_encoding,minority_coalescer,0.013501988241596803,mean,robust_scaler,,,0.779736398051298,0.25,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.14290213312055283,fpr,f_regression,liblinear_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.19160000577407318,False,0.08447160725051764,True,1,squared_epsilon_insensitive,0.00013920807185728581,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+272,no_encoding,minority_coalescer,0.33019614194741737,mean,none,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.042751149363097055,8.347428498783927e-08,57.94899150758775,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+274,one_hot_encoding,minority_coalescer,0.010000000000000004,mean,robust_scaler,,,0.9591089096488032,0.014057471925138065,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,mse,None,0.9820315057084981,None,0.0,5,20,0.0,,,,,,,,,,,,feature_type
+276,no_encoding,no_coalescense,,most_frequent,robust_scaler,,,0.99052561287723,0.21219427729271156,random_trees_embedding,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,2,None,1,15,1.0,97,,,,,,decision_tree,,,,,,,,,,,,,mae,0.45721730917643494,1.0,None,0.0,1,2,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+279,no_encoding,minority_coalescer,0.4873131661139947,mean,standardize,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.43441750135120694,fpr,f_regression,k_nearest_neighbors,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,2,distance,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+282,one_hot_encoding,minority_coalescer,0.026353623217953964,mean,none,,,,,extra_trees_preproc_for_regression,True,friedman_mse,None,0.8609499435062687,None,9,15,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.023379450779571848,2.659222467552488e-10,292.5678884045162,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+285,no_encoding,no_coalescense,,mean,minmax,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.2186105871515939,fdr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,0.10377482408306521,0.016255400771699312,least_squares,255,None,65,70,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
diff --git a/autosklearn/metalearning/files/r2_regression_dense/configurations.csv b/autosklearn/metalearning/files/r2_regression_dense/configurations.csv
index 52fdb0ce9f..c1fbd54024 100644
--- a/autosklearn/metalearning/files/r2_regression_dense/configurations.csv
+++ b/autosklearn/metalearning/files/r2_regression_dense/configurations.csv
@@ -1,98 +1,98 @@
-idx,data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__,data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__,data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction,data_preprocessor:feature_type:numerical_transformer:imputation:strategy,data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__,data_preprocessor:feature_type:numerical_transformer:rescaling:quantile_transformer:n_quantiles,data_preprocessor:feature_type:numerical_transformer:rescaling:quantile_transformer:output_distribution,data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_max,data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_min,feature_preprocessor:__choice__,feature_preprocessor:extra_trees_preproc_for_regression:bootstrap,feature_preprocessor:extra_trees_preproc_for_regression:criterion,feature_preprocessor:extra_trees_preproc_for_regression:max_depth,feature_preprocessor:extra_trees_preproc_for_regression:max_features,feature_preprocessor:extra_trees_preproc_for_regression:max_leaf_nodes,feature_preprocessor:extra_trees_preproc_for_regression:min_samples_leaf,feature_preprocessor:extra_trees_preproc_for_regression:min_samples_split,feature_preprocessor:extra_trees_preproc_for_regression:min_weight_fraction_leaf,feature_preprocessor:extra_trees_preproc_for_regression:n_estimators,feature_preprocessor:fast_ica:algorithm,feature_preprocessor:fast_ica:fun,feature_preprocessor:fast_ica:n_components,feature_preprocessor:fast_ica:whiten,feature_preprocessor:feature_agglomeration:affinity,feature_preprocessor:feature_agglomeration:linkage,feature_preprocessor:feature_agglomeration:n_clusters,feature_preprocessor:feature_agglomeration:pooling_func,feature_preprocessor:kernel_pca:coef0,feature_preprocessor:kernel_pca:degree,feature_preprocessor:kernel_pca:gamma,feature_preprocessor:kernel_pca:kernel,feature_preprocessor:kernel_pca:n_components,feature_preprocessor:kitchen_sinks:gamma,feature_preprocessor:kitchen_sinks:n_components,feature_preprocessor:nystroem_sampler:coef0,feature_preprocessor:nystroem_sampler:degree,feature_preprocessor:nystroem_sampler:gamma,feature_preprocessor:nystroem_sampler:kernel,feature_preprocessor:nystroem_sampler:n_components,feature_preprocessor:pca:keep_variance,feature_preprocessor:pca:whiten,feature_preprocessor:polynomial:degree,feature_preprocessor:polynomial:include_bias,feature_preprocessor:polynomial:interaction_only,feature_preprocessor:random_trees_embedding:bootstrap,feature_preprocessor:random_trees_embedding:max_depth,feature_preprocessor:random_trees_embedding:max_leaf_nodes,feature_preprocessor:random_trees_embedding:min_samples_leaf,feature_preprocessor:random_trees_embedding:min_samples_split,feature_preprocessor:random_trees_embedding:min_weight_fraction_leaf,feature_preprocessor:random_trees_embedding:n_estimators,feature_preprocessor:select_percentile_regression:percentile,feature_preprocessor:select_percentile_regression:score_func,feature_preprocessor:select_rates_regression:alpha,feature_preprocessor:select_rates_regression:mode,feature_preprocessor:select_rates_regression:score_func,regressor:__choice__,regressor:adaboost:learning_rate,regressor:adaboost:loss,regressor:adaboost:max_depth,regressor:adaboost:n_estimators,regressor:ard_regression:alpha_1,regressor:ard_regression:alpha_2,regressor:ard_regression:fit_intercept,regressor:ard_regression:lambda_1,regressor:ard_regression:lambda_2,regressor:ard_regression:n_iter,regressor:ard_regression:threshold_lambda,regressor:ard_regression:tol,regressor:decision_tree:criterion,regressor:decision_tree:max_depth_factor,regressor:decision_tree:max_features,regressor:decision_tree:max_leaf_nodes,regressor:decision_tree:min_impurity_decrease,regressor:decision_tree:min_samples_leaf,regressor:decision_tree:min_samples_split,regressor:decision_tree:min_weight_fraction_leaf,regressor:extra_trees:bootstrap,regressor:extra_trees:criterion,regressor:extra_trees:max_depth,regressor:extra_trees:max_features,regressor:extra_trees:max_leaf_nodes,regressor:extra_trees:min_impurity_decrease,regressor:extra_trees:min_samples_leaf,regressor:extra_trees:min_samples_split,regressor:extra_trees:min_weight_fraction_leaf,regressor:gaussian_process:alpha,regressor:gaussian_process:thetaL,regressor:gaussian_process:thetaU,regressor:gradient_boosting:early_stop,regressor:gradient_boosting:l2_regularization,regressor:gradient_boosting:learning_rate,regressor:gradient_boosting:loss,regressor:gradient_boosting:max_bins,regressor:gradient_boosting:max_depth,regressor:gradient_boosting:max_leaf_nodes,regressor:gradient_boosting:min_samples_leaf,regressor:gradient_boosting:n_iter_no_change,regressor:gradient_boosting:scoring,regressor:gradient_boosting:tol,regressor:gradient_boosting:validation_fraction,regressor:k_nearest_neighbors:n_neighbors,regressor:k_nearest_neighbors:p,regressor:k_nearest_neighbors:weights,regressor:liblinear_svr:C,regressor:liblinear_svr:dual,regressor:liblinear_svr:epsilon,regressor:liblinear_svr:fit_intercept,regressor:liblinear_svr:intercept_scaling,regressor:liblinear_svr:loss,regressor:liblinear_svr:tol,regressor:libsvm_svr:C,regressor:libsvm_svr:coef0,regressor:libsvm_svr:degree,regressor:libsvm_svr:epsilon,regressor:libsvm_svr:gamma,regressor:libsvm_svr:kernel,regressor:libsvm_svr:max_iter,regressor:libsvm_svr:shrinking,regressor:libsvm_svr:tol,regressor:mlp:activation,regressor:mlp:alpha,regressor:mlp:batch_size,regressor:mlp:beta_1,regressor:mlp:beta_2,regressor:mlp:early_stopping,regressor:mlp:epsilon,regressor:mlp:hidden_layer_depth,regressor:mlp:learning_rate_init,regressor:mlp:n_iter_no_change,regressor:mlp:num_nodes_per_layer,regressor:mlp:shuffle,regressor:mlp:solver,regressor:mlp:tol,regressor:mlp:validation_fraction,regressor:random_forest:bootstrap,regressor:random_forest:criterion,regressor:random_forest:max_depth,regressor:random_forest:max_features,regressor:random_forest:max_leaf_nodes,regressor:random_forest:min_impurity_decrease,regressor:random_forest:min_samples_leaf,regressor:random_forest:min_samples_split,regressor:random_forest:min_weight_fraction_leaf,regressor:sgd:alpha,regressor:sgd:average,regressor:sgd:epsilon,regressor:sgd:eta0,regressor:sgd:fit_intercept,regressor:sgd:l1_ratio,regressor:sgd:learning_rate,regressor:sgd:loss,regressor:sgd:penalty,regressor:sgd:power_t,regressor:sgd:tol,data_preprocessor:__choice__
-2,no_encoding,no_coalescense,,most_frequent,standardize,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.1,fpr,f_regression,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.019645201003537352,1.1170068633409441e-07,130.632960269528,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-6,one_hot_encoding,minority_coalescer,0.000400759453878678,mean,minmax,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.09988990258830989,fpr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,3.0002886744200357e-06,0.015673535665067875,least_squares,255,None,7,23,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-7,one_hot_encoding,no_coalescense,,most_frequent,quantile_transformer,809,uniform,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,True,,,,,,,,,,,,,sgd,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.01806079811541296,False,,0.015540128437738566,True,0.9326390049807726,constant,squared_loss,elasticnet,,0.00010576654619459039,feature_type
-10,one_hot_encoding,minority_coalescer,0.00010349207190621693,mean,quantile_transformer,229,normal,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.055967923991199715,1.8694491708470566e-10,1.8954846844548174,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-13,one_hot_encoding,no_coalescense,,mean,standardize,,,,,extra_trees_preproc_for_regression,False,mse,None,0.7631509999921062,None,2,2,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,mlp,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,relu,6.037842605388564e-07,auto,0.9,0.999,valid,1e-08,3,0.0001120732057918536,32,100,True,adam,0.0001,0.1,,,,,,,,,,,,,,,,,,,,,feature_type
-17,one_hot_encoding,minority_coalescer,0.010250361463446604,mean,minmax,,,,,fast_ica,,,,,,,,,,parallel,exp,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,194.03096694114694,,3,0.0010214279074797082,0.20113065159176252,rbf,-1,True,0.0206281932709369,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-19,one_hot_encoding,minority_coalescer,0.0013057623156653984,median,robust_scaler,,,0.7384386306109247,0.13619830011156256,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,47.935402876904554,f_regression,,,,sgd,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3.1920798638358104e-06,True,0.1,2.5662550861454332e-06,True,,invscaling,squared_epsilon_insensitive,l2,0.16443692558514034,7.823786229838958e-05,feature_type
-23,no_encoding,no_coalescense,,mean,quantile_transformer,626,uniform,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.1441108530403702,3.669712858764878e-08,63.38119089797623,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-26,no_encoding,no_coalescense,,mean,robust_scaler,,,0.7194207293244546,0.25,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,False,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,1e-10,0.04073473488071534,least_squares,255,None,22,4,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-28,no_encoding,minority_coalescer,0.00397868572473159,mean,robust_scaler,,,0.7840854273341944,0.11376189722146844,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,k_nearest_neighbors,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,20,2,distance,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-31,no_encoding,minority_coalescer,0.00014899709205673406,most_frequent,robust_scaler,,,0.8498515960462831,0.2493877412289307,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,53.074440365115905,mutual_info,,,,ard_regression,,,,,2.7664515192592053e-05,9.504988116581138e-07,True,4.184987756432487e-09,4.238533890074848e-07,300,78251.58542976103,0.0006951835906397672,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-34,one_hot_encoding,no_coalescense,,most_frequent,quantile_transformer,952,uniform,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,1.8428972335335263e-10,0.012607824914758717,least_squares,255,None,10,8,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-39,no_encoding,minority_coalescer,0.013069046428333956,mean,quantile_transformer,1389,normal,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,mse,None,0.7517792740390704,None,0.0,6,2,0.0,,,,,,,,,,,,feature_type
-40,no_encoding,minority_coalescer,0.032459358237118964,mean,quantile_transformer,245,normal,,,fast_ica,,,,,,,,,,parallel,exp,1538,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.010616529299999268,3.3168147703951036e-07,4.182958258383621,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-43,no_encoding,no_coalescense,,mean,standardize,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.034904198000955684,fdr,f_regression,liblinear_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,35.012615180923554,False,0.7326132441316412,True,1,squared_epsilon_insensitive,0.00012982617662684841,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-48,no_encoding,minority_coalescer,0.007285175031750927,most_frequent,standardize,,,,,kernel_pca,,,,,,,,,,,,,,,,,,,,0.3892888368591911,rbf,1205,,,,,,,,,,,,,,,,,,,,,,,,,liblinear_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,527.2805278622302,False,0.0023914129516101872,True,1,squared_epsilon_insensitive,3.308026672204565e-05,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-50,one_hot_encoding,minority_coalescer,0.01047631022335275,median,minmax,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,True,mse,None,0.5535883939348928,None,0.0,2,16,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-54,one_hot_encoding,minority_coalescer,0.06501698406855842,most_frequent,standardize,,,,,fast_ica,,,,,,,,,,parallel,cube,184,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.06138907077602462,2.1193402649051655e-10,10.458248457966066,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-57,one_hot_encoding,minority_coalescer,0.0010413452644415357,mean,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,False,mae,None,0.6277363920171745,None,0.0,6,15,0.0,,,,,,,,,,,,feature_type
-58,one_hot_encoding,no_coalescense,,median,standardize,,,,,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,22.538520410186127,f_regression,,,,liblinear_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.036388789196735646,False,0.0012739627397164333,True,1,squared_epsilon_insensitive,0.020180468804448126,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-63,no_encoding,no_coalescense,,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,True,mse,None,0.9615263480351033,None,0.0,1,2,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-66,no_encoding,minority_coalescer,0.00016754269505428354,median,quantile_transformer,170,uniform,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mse,None,0.6962692885049272,None,0.0,17,17,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-67,no_encoding,no_coalescense,,median,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,valid,0.0018018055158809108,0.05048450688348591,least_squares,255,None,3,1,19,loss,1e-07,0.19819612428903174,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-70,no_encoding,minority_coalescer,0.015521269213050653,mean,quantile_transformer,472,normal,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,False,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,mse,None,0.1509528252746419,None,0.0,17,2,0.0,,,,,,,,,,,,feature_type
-73,no_encoding,minority_coalescer,0.010000000000000004,mean,none,,,,,feature_agglomeration,,,,,,,,,,,,,,manhattan,average,26,max,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.051300886003085196,0.00012664987999260594,4.670733780898565,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-77,no_encoding,minority_coalescer,0.28144748021848814,mean,robust_scaler,,,0.8771493204875395,0.13693823573634356,fast_ica,,,,,,,,,,deflation,cube,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,friedman_mse,None,1.0,None,0.0,1,2,0.0,,,,,,,,,,,,feature_type
-79,no_encoding,minority_coalescer,0.042366198588653134,most_frequent,minmax,,,,,fast_ica,,,,,,,,,,deflation,logcosh,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,7277.320824640944,,2,0.0013490872095510865,0.03233188643981015,rbf,-1,True,0.0034607903098849255,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-82,no_encoding,minority_coalescer,0.05607310321489163,mean,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,28831.968873651404,0.39386733846748023,3,0.12370783564202235,0.0026233747431769617,poly,-1,True,4.714268123196739e-05,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-86,one_hot_encoding,no_coalescense,,most_frequent,standardize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,ard_regression,,,,,0.0003701926442639788,2.2118001735899097e-07,True,1.2037591637980971e-06,4.358378124977852e-09,300,1136.5286041327277,0.021944240404849075,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-89,one_hot_encoding,minority_coalescer,0.0011912229897445134,mean,standardize,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,0.005746611563553693,0.0913971028976721,least_squares,255,None,9,2,20,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-92,no_encoding,no_coalescense,,most_frequent,standardize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,True,,,,,,,,,,,,,mlp,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,tanh,0.00023501461451248853,auto,0.9,0.999,train,1e-08,1,0.00014972142082858664,32,234,True,adam,0.0001,,,,,,,,,,,,,,,,,,,,,,feature_type
-95,one_hot_encoding,minority_coalescer,0.010000000000000004,median,robust_scaler,,,0.7912621507143142,0.2637968890661204,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,5.997418027353535e-10,0.12286466971783992,least_squares,255,None,26,8,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-98,no_encoding,no_coalescense,,mean,robust_scaler,,,0.7010465420634562,0.19032833128592427,feature_agglomeration,,,,,,,,,,,,,,euclidean,ward,31,max,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,friedman_mse,None,0.7612289466695656,None,0.0,1,2,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-101,one_hot_encoding,no_coalescense,,median,robust_scaler,,,0.7548820011150241,0.02964869664953053,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,valid,3.1008789875481045e-10,0.9742767231340886,least_squares,255,None,76,8,10,loss,1e-07,0.08508571055472691,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-102,no_encoding,minority_coalescer,0.00829519231049576,mean,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,ard_regression,,,,,4.7044575285722365e-05,0.000629863807127318,True,7.584067704707025e-10,3.923255608410879e-08,300,4052.403778957396,0.009359388994186051,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-105,one_hot_encoding,no_coalescense,,median,none,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.4686252124441843,fpr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,valid,0.0038606936054114,0.020266625124044115,least_squares,255,None,458,158,18,loss,1e-07,0.27775972890692574,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-107,no_encoding,no_coalescense,,mean,robust_scaler,,,0.7727512096172742,0.22461598115758682,feature_agglomeration,,,,,,,,,,,,,,manhattan,complete,21,max,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,2.208787572338781e-05,0.036087332404571744,least_squares,255,None,64,3,18,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-110,no_encoding,minority_coalescer,0.0006869013905922761,mean,quantile_transformer,1352,normal,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.07357548990881542,fpr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,3.20414911914726e-10,0.1279702444496931,least_squares,255,None,63,19,8,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-115,no_encoding,no_coalescense,,mean,normalize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,ard_regression,,,,,0.0007694645303288904,6.907464089785431e-06,True,5.725240603355948e-06,2.2747405613470773e-05,300,58747.57814168738,5.818442213575333e-05,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-117,no_encoding,no_coalescense,,most_frequent,none,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.2031136218970144,,,0.340528001967228,,linear,-1,False,4.070347915643521e-05,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-119,no_encoding,minority_coalescer,0.0024824409953506307,most_frequent,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,True,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,friedman_mse,None,0.8276036843429629,None,0.0,5,13,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-124,one_hot_encoding,no_coalescense,,median,quantile_transformer,1779,normal,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,4.957506578736309e-07,0.05200721900508807,least_squares,255,None,4,2,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-126,no_encoding,minority_coalescer,0.010222641912650656,median,quantile_transformer,1092,uniform,,,feature_agglomeration,,,,,,,,,,,,,,euclidean,ward,59,mean,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,adaboost,0.010571278032840276,linear,10,116,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-128,one_hot_encoding,no_coalescense,,most_frequent,quantile_transformer,1040,uniform,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,1.27381234568573e-07,0.02758260805263155,least_squares,255,None,57,5,1,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-132,one_hot_encoding,minority_coalescer,0.0001745391328519669,most_frequent,robust_scaler,,,0.8057830372269097,0.24982831110057324,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.3621762718897781,fwe,f_regression,ard_regression,,,,,2.7664515192592053e-05,9.504988116581138e-07,True,6.50650698230178e-09,4.238533890074848e-07,300,78251.58542976103,0.0007301343236220855,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-136,one_hot_encoding,minority_coalescer,0.008225465238838799,most_frequent,quantile_transformer,709,uniform,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2.1305589487469477e-06,0.0002524679984945707,57.09316986719562,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-138,no_encoding,minority_coalescer,0.018981164720696175,median,minmax,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.03175182874113965,0.00030344963288406407,64164.586360277535,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-140,no_encoding,no_coalescense,,median,minmax,,,,,feature_agglomeration,,,,,,,,,,,,,,euclidean,average,272,median,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mse,None,0.5120356089629183,None,0.0,1,4,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-144,one_hot_encoding,minority_coalescer,0.0033650478527174027,median,none,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,True,friedman_mse,None,0.7303174358688075,None,0.0,10,10,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-148,no_encoding,no_coalescense,,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,ard_regression,,,,,0.0005879259823371087,3.410007832100047e-07,True,1.6597956274062097e-05,9.910691609164284e-10,300,2203.910297381356,0.006471761365578467,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-150,no_encoding,no_coalescense,,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mse,None,0.9797793053686011,None,0.0,1,4,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-153,one_hot_encoding,minority_coalescer,0.00013899061331455512,mean,minmax,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.19203734614573903,fdr,f_regression,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.28764734226521,1.5934220315148466e-07,59443.23501615305,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-156,no_encoding,minority_coalescer,0.013018052591541176,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,friedman_mse,None,0.9734334465992716,None,0.0,2,9,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-158,one_hot_encoding,minority_coalescer,0.0001897686484596082,median,robust_scaler,,,0.7768342897092668,0.27222390764426924,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.00025503968621419157,1.161826998793312e-08,80.91415602800988,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-160,one_hot_encoding,no_coalescense,,mean,standardize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,False,,,,,,,,,,,,,ard_regression,,,,,0.0007518973788007592,2.1035374255689506e-10,True,1.9130145173139983e-06,6.539971988038889e-10,300,3146.7808694741443,0.0003708004149981124,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-163,no_encoding,no_coalescense,,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,True,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.283161627129086,7.245332579977274e-08,36.28453043772396,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-168,one_hot_encoding,minority_coalescer,0.001512533360913062,median,none,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.07521950921951931,fwe,f_regression,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,friedman_mse,None,0.7805550079834586,None,0.0,3,20,0.0,,,,,,,,,,,,feature_type
-171,one_hot_encoding,no_coalescense,,mean,quantile_transformer,268,uniform,,,feature_agglomeration,,,,,,,,,,,,,,euclidean,average,107,median,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.42928092501196696,1.4435895787652725e-07,8.108685026706572,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-174,one_hot_encoding,no_coalescense,,most_frequent,none,,,,,fast_ica,,,,,,,,,,deflation,exp,671,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,ard_regression,,,,,4.124442820298477e-05,1.161663644436331e-06,True,1.5236144126449076e-09,0.00046882633285888015,300,86828.75337540788,0.0010379122151177183,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-176,one_hot_encoding,minority_coalescer,0.019566163649872924,most_frequent,robust_scaler,,,0.7200608810425068,0.22968043330398744,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.18539282936320728,fwe,f_regression,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mae,None,0.9029989558220115,None,0.0,1,2,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-179,no_encoding,no_coalescense,,most_frequent,normalize,,,,,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,91.55750915031366,mutual_info,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,True,friedman_mse,None,0.24739007040418165,None,0.0,4,17,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-182,one_hot_encoding,no_coalescense,,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,valid,0.013442521728157596,0.15308825058123207,least_squares,255,None,26,6,20,loss,1e-07,0.08504769517258337,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-184,no_encoding,no_coalescense,,mean,normalize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,True,,,,,,,,,,,,,ard_regression,,,,,6.074038958967586e-05,4.934531533509717e-07,True,0.00034504048920015604,1.4861857758465898e-06,300,1995.6088649916076,0.0033943514455527686,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-186,no_encoding,minority_coalescer,0.010515112787842862,most_frequent,quantile_transformer,583,uniform,,,feature_agglomeration,,,,,,,,,,,,,,euclidean,average,5,mean,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.00015169626319121407,0.0006853872700383563,80227.86048666916,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-191,one_hot_encoding,minority_coalescer,0.039520728280417826,mean,minmax,,,,,kitchen_sinks,,,,,,,,,,,,,,,,,,,,,,,5.288249085278679,4176,,,,,,,,,,,,,,,,,,,,,,,liblinear_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,224.245634141281,False,0.009173958659191201,True,1,squared_epsilon_insensitive,1.9920161216131034e-05,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-193,no_encoding,no_coalescense,,mean,robust_scaler,,,0.7550402508982338,0.24842410508333093,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,True,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,6.238367840293606e-10,0.026111542610815466,least_squares,255,None,177,37,18,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-197,one_hot_encoding,minority_coalescer,0.009368863843266871,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.02846835702208294,1.2011941574832026e-06,67511.87095482116,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-199,no_encoding,minority_coalescer,0.44467269258042313,most_frequent,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,6.676910625638355e-09,0.052530803029130685,least_squares,255,None,31,20,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-201,one_hot_encoding,minority_coalescer,0.0022298554040543614,most_frequent,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,1.3053128884667706e-10,0.05594167483605857,least_squares,255,None,85,10,4,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-204,no_encoding,minority_coalescer,0.22734310669224594,most_frequent,robust_scaler,,,0.9761574925741068,0.2928944546265386,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.04882039966006706,fdr,f_regression,extra_trees,,,,,,,,,,,,,,,,,,,,,False,friedman_mse,None,0.9982746726091221,None,0.0,4,2,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-207,one_hot_encoding,minority_coalescer,0.010000000000000004,mean,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,True,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,6.085630700044881e-10,0.12392806728650493,least_squares,255,None,31,25,7,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-211,no_encoding,no_coalescense,,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,180.22479438529933,,4,0.0012571604901280202,0.10272820821863678,rbf,-1,False,0.02945259690926852,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-214,one_hot_encoding,no_coalescense,,most_frequent,standardize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,True,,,,,,,,,,,,,sgd,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.00038839431353936653,False,,0.0007930509929393179,True,0.61724426807128,constant,squared_loss,elasticnet,,1.285973891441802e-05,feature_type
-217,one_hot_encoding,minority_coalescer,0.00013426375251483367,mean,quantile_transformer,1000,normal,,,extra_trees_preproc_for_regression,False,mae,None,0.9485456391530016,None,2,11,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,mae,None,1.0,None,0.0,1,5,0.0,,,,,,,,,,,,feature_type
-221,one_hot_encoding,minority_coalescer,0.009016977995123954,most_frequent,standardize,,,,,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,94.50207398648911,f_regression,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,False,mse,None,0.18485496201511814,None,0.0,18,18,0.0,,,,,,,,,,,,feature_type
-224,one_hot_encoding,no_coalescense,,median,quantile_transformer,1016,uniform,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.3992671482410072,fpr,f_regression,extra_trees,,,,,,,,,,,,,,,,,,,,,True,mse,None,0.2477939208870194,None,0.0,2,4,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-225,one_hot_encoding,minority_coalescer,0.010356286469647443,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,mlp,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,relu,6.108449182457731e-05,auto,0.9,0.999,valid,1e-08,3,0.00027704755935258253,32,101,True,adam,0.0001,0.1,,,,,,,,,,,,,,,,,,,,,feature_type
-228,no_encoding,minority_coalescer,0.0005112414168823774,median,standardize,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.4807408968132736,fdr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,5.775517309881741e-08,0.020024969424259676,least_squares,255,None,156,85,16,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-232,no_encoding,no_coalescense,,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,False,,,,,,,,,,,,,sgd,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.0006517033225329654,False,0.012150149892783745,0.016444224834275295,True,1.7462342366289323e-09,invscaling,epsilon_insensitive,elasticnet,0.21521743568582094,0.002431731981071206,feature_type
-235,one_hot_encoding,minority_coalescer,0.010000000000000004,most_frequent,standardize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.035440248140559884,1.142436233486746e-09,2235.498740920408,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-237,no_encoding,minority_coalescer,0.007741331259480108,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.020932011717701825,7.512295484675918e-08,427.92917011793116,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-240,one_hot_encoding,minority_coalescer,0.010000000000000004,mean,standardize,,,,,extra_trees_preproc_for_regression,True,friedman_mse,None,0.969236220539822,None,1,2,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.013068012551322245,2.979079708104577e-07,50599.0613366392,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-245,one_hot_encoding,minority_coalescer,0.052483220498897844,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.017488165983844263,4.199154538507709e-05,18825.14718012417,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-247,one_hot_encoding,minority_coalescer,0.014192135928954746,median,standardize,,,,,fast_ica,,,,,,,,,,deflation,exp,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1.4272136443763257,0.2694141260648879,2,0.10000000000000006,0.05757315877344016,poly,-1,False,0.0010000000000000002,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-251,no_encoding,no_coalescense,,median,standardize,,,,,extra_trees_preproc_for_regression,True,mae,None,0.7533134853493275,None,1,4,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,0.8025720428105109,0.2759754081799624,least_squares,255,None,18,172,11,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-252,one_hot_encoding,minority_coalescer,0.0001745391328519669,most_frequent,robust_scaler,,,0.8057830372269097,0.24982831110057324,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.3621762718897781,fwe,f_regression,ard_regression,,,,,2.7664515192592053e-05,9.504988116581138e-07,True,6.50650698230178e-09,4.238533890074848e-07,300,78251.58542976103,0.0007301343236220855,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-257,one_hot_encoding,minority_coalescer,0.0216783950539192,mean,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,0.00010889929093369623,0.013461560146088193,least_squares,255,None,922,78,19,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-258,no_encoding,minority_coalescer,0.06944124485705933,median,robust_scaler,,,0.9459191670017113,0.19705568051981365,feature_agglomeration,,,,,,,,,,,,,,euclidean,ward,25,median,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,ard_regression,,,,,1.3451538602739027e-05,9.646408445137836e-08,True,2.5198380744059647e-07,3.03274213695262e-10,300,1212.6400146193068,0.0014720713972345503,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-262,no_encoding,minority_coalescer,0.0017516626568532072,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.09414230179794553,1.3692618062770113e-09,15642.37580197983,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-266,no_encoding,minority_coalescer,0.0002660105205394136,median,none,,,,,fast_ica,,,,,,,,,,deflation,logcosh,977,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,liblinear_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.1637099972824213,False,0.5342957861386396,True,1,squared_epsilon_insensitive,0.00011557548242116838,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-268,no_encoding,minority_coalescer,0.019298178366706394,mean,minmax,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,decision_tree,,,,,,,,,,,,,mae,0.2781806943014362,1.0,None,0.0,17,7,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-270,one_hot_encoding,no_coalescense,,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.037731974209709904,5.002213042554931e-07,22409.945864393645,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-274,one_hot_encoding,minority_coalescer,0.0002682359625135144,mean,quantile_transformer,1567,uniform,,,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,85.70259306141033,f_regression,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,6.536723381440492e-05,0.03940103065495631,least_squares,255,None,77,9,7,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-276,one_hot_encoding,no_coalescense,,median,minmax,,,,,pca,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.991729015298316,True,,,,,,,,,,,,,,,,adaboost,0.019011223549222432,linear,9,395,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-279,no_encoding,minority_coalescer,0.4873131661139947,mean,standardize,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.43441750135120694,fpr,f_regression,k_nearest_neighbors,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,2,distance,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-282,one_hot_encoding,minority_coalescer,0.024334629729258105,most_frequent,standardize,,,,,extra_trees_preproc_for_regression,False,mae,None,0.9280962404032027,None,1,11,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.02341626598167312,1.0753192773067984e-09,30626.12455645968,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-285,no_encoding,no_coalescense,,mean,minmax,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.2186105871515939,fdr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,0.10377482408306521,0.016255400771699312,least_squares,255,None,65,70,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+idx,data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__,data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__,data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction,data_preprocessor:feature_type:numerical_transformer:imputation:strategy,data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__,data_preprocessor:feature_type:numerical_transformer:rescaling:quantile_transformer:n_quantiles,data_preprocessor:feature_type:numerical_transformer:rescaling:quantile_transformer:output_distribution,data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_max,data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_min,feature_preprocessor:__choice__,feature_preprocessor:extra_trees_preproc_for_regression:bootstrap,feature_preprocessor:extra_trees_preproc_for_regression:criterion,feature_preprocessor:extra_trees_preproc_for_regression:max_depth,feature_preprocessor:extra_trees_preproc_for_regression:max_features,feature_preprocessor:extra_trees_preproc_for_regression:max_leaf_nodes,feature_preprocessor:extra_trees_preproc_for_regression:min_samples_leaf,feature_preprocessor:extra_trees_preproc_for_regression:min_samples_split,feature_preprocessor:extra_trees_preproc_for_regression:min_weight_fraction_leaf,feature_preprocessor:extra_trees_preproc_for_regression:n_estimators,feature_preprocessor:fast_ica:algorithm,feature_preprocessor:fast_ica:fun,feature_preprocessor:fast_ica:n_components,feature_preprocessor:fast_ica:whiten,feature_preprocessor:feature_agglomeration:affinity,feature_preprocessor:feature_agglomeration:linkage,feature_preprocessor:feature_agglomeration:n_clusters,feature_preprocessor:feature_agglomeration:pooling_func,feature_preprocessor:kernel_pca:coef0,feature_preprocessor:kernel_pca:degree,feature_preprocessor:kernel_pca:gamma,feature_preprocessor:kernel_pca:kernel,feature_preprocessor:kernel_pca:n_components,feature_preprocessor:kitchen_sinks:gamma,feature_preprocessor:kitchen_sinks:n_components,feature_preprocessor:nystroem_sampler:coef0,feature_preprocessor:nystroem_sampler:degree,feature_preprocessor:nystroem_sampler:gamma,feature_preprocessor:nystroem_sampler:kernel,feature_preprocessor:nystroem_sampler:n_components,feature_preprocessor:pca:keep_variance,feature_preprocessor:pca:whiten,feature_preprocessor:polynomial:degree,feature_preprocessor:polynomial:include_bias,feature_preprocessor:polynomial:interaction_only,feature_preprocessor:random_trees_embedding:bootstrap,feature_preprocessor:random_trees_embedding:max_depth,feature_preprocessor:random_trees_embedding:max_leaf_nodes,feature_preprocessor:random_trees_embedding:min_samples_leaf,feature_preprocessor:random_trees_embedding:min_samples_split,feature_preprocessor:random_trees_embedding:min_weight_fraction_leaf,feature_preprocessor:random_trees_embedding:n_estimators,feature_preprocessor:select_percentile_regression:percentile,feature_preprocessor:select_percentile_regression:score_func,feature_preprocessor:select_rates_regression:alpha,feature_preprocessor:select_rates_regression:mode,feature_preprocessor:select_rates_regression:score_func,regressor:__choice__,regressor:adaboost:learning_rate,regressor:adaboost:loss,regressor:adaboost:max_depth,regressor:adaboost:n_estimators,regressor:ard_regression:alpha_1,regressor:ard_regression:alpha_2,regressor:ard_regression:fit_intercept,regressor:ard_regression:lambda_1,regressor:ard_regression:lambda_2,regressor:ard_regression:n_iter,regressor:ard_regression:threshold_lambda,regressor:ard_regression:tol,regressor:decision_tree:criterion,regressor:decision_tree:max_depth_factor,regressor:decision_tree:max_features,regressor:decision_tree:max_leaf_nodes,regressor:decision_tree:min_impurity_decrease,regressor:decision_tree:min_samples_leaf,regressor:decision_tree:min_samples_split,regressor:decision_tree:min_weight_fraction_leaf,regressor:extra_trees:bootstrap,regressor:extra_trees:criterion,regressor:extra_trees:max_depth,regressor:extra_trees:max_features,regressor:extra_trees:max_leaf_nodes,regressor:extra_trees:min_impurity_decrease,regressor:extra_trees:min_samples_leaf,regressor:extra_trees:min_samples_split,regressor:extra_trees:min_weight_fraction_leaf,regressor:gaussian_process:alpha,regressor:gaussian_process:thetaL,regressor:gaussian_process:thetaU,regressor:gradient_boosting:early_stop,regressor:gradient_boosting:l2_regularization,regressor:gradient_boosting:learning_rate,regressor:gradient_boosting:loss,regressor:gradient_boosting:max_bins,regressor:gradient_boosting:max_depth,regressor:gradient_boosting:max_leaf_nodes,regressor:gradient_boosting:min_samples_leaf,regressor:gradient_boosting:n_iter_no_change,regressor:gradient_boosting:scoring,regressor:gradient_boosting:tol,regressor:gradient_boosting:validation_fraction,regressor:k_nearest_neighbors:n_neighbors,regressor:k_nearest_neighbors:p,regressor:k_nearest_neighbors:weights,regressor:liblinear_svr:C,regressor:liblinear_svr:dual,regressor:liblinear_svr:epsilon,regressor:liblinear_svr:fit_intercept,regressor:liblinear_svr:intercept_scaling,regressor:liblinear_svr:loss,regressor:liblinear_svr:tol,regressor:libsvm_svr:C,regressor:libsvm_svr:coef0,regressor:libsvm_svr:degree,regressor:libsvm_svr:epsilon,regressor:libsvm_svr:gamma,regressor:libsvm_svr:kernel,regressor:libsvm_svr:max_iter,regressor:libsvm_svr:shrinking,regressor:libsvm_svr:tol,regressor:mlp:activation,regressor:mlp:alpha,regressor:mlp:batch_size,regressor:mlp:beta_1,regressor:mlp:beta_2,regressor:mlp:early_stopping,regressor:mlp:epsilon,regressor:mlp:hidden_layer_depth,regressor:mlp:learning_rate_init,regressor:mlp:n_iter_no_change,regressor:mlp:num_nodes_per_layer,regressor:mlp:shuffle,regressor:mlp:solver,regressor:mlp:tol,regressor:mlp:validation_fraction,regressor:random_forest:bootstrap,regressor:random_forest:criterion,regressor:random_forest:max_depth,regressor:random_forest:max_features,regressor:random_forest:max_leaf_nodes,regressor:random_forest:min_impurity_decrease,regressor:random_forest:min_samples_leaf,regressor:random_forest:min_samples_split,regressor:random_forest:min_weight_fraction_leaf,regressor:sgd:alpha,regressor:sgd:average,regressor:sgd:epsilon,regressor:sgd:eta0,regressor:sgd:fit_intercept,regressor:sgd:l1_ratio,regressor:sgd:learning_rate,regressor:sgd:loss,regressor:sgd:penalty,regressor:sgd:power_t,regressor:sgd:tol,data_preprocessor:__choice__
+2,no_encoding,no_coalescense,,most_frequent,standardize,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.1,fpr,f_regression,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.019645201003537352,1.1170068633409441e-07,130.632960269528,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+6,one_hot_encoding,minority_coalescer,0.000400759453878678,mean,minmax,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.09988990258830989,fpr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,3.0002886744200357e-06,0.015673535665067875,least_squares,255,None,7,23,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+7,one_hot_encoding,no_coalescense,,most_frequent,quantile_transformer,809,uniform,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,True,,,,,,,,,,,,,sgd,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.01806079811541296,False,,0.015540128437738566,True,0.9326390049807726,constant,squared_loss,elasticnet,,0.00010576654619459039,feature_type
+10,one_hot_encoding,minority_coalescer,0.00010349207190621693,mean,quantile_transformer,229,normal,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.055967923991199715,1.8694491708470566e-10,1.8954846844548174,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+13,one_hot_encoding,no_coalescense,,mean,standardize,,,,,extra_trees_preproc_for_regression,False,mse,None,0.7631509999921062,None,2,2,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,mlp,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,relu,6.037842605388564e-07,auto,0.9,0.999,valid,1e-08,3,0.0001120732057918536,32,100,True,adam,0.0001,0.1,,,,,,,,,,,,,,,,,,,,,feature_type
+17,one_hot_encoding,minority_coalescer,0.010250361463446604,mean,minmax,,,,,fast_ica,,,,,,,,,,parallel,exp,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,194.03096694114694,,,0.0010214279074797082,0.20113065159176252,rbf,-1,True,0.0206281932709369,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+19,one_hot_encoding,minority_coalescer,0.0013057623156653984,median,robust_scaler,,,0.7384386306109247,0.13619830011156256,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,47.935402876904554,f_regression,,,,sgd,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3.1920798638358104e-06,True,0.1,2.5662550861454332e-06,True,,invscaling,squared_epsilon_insensitive,l2,0.16443692558514034,7.823786229838958e-05,feature_type
+23,no_encoding,no_coalescense,,mean,quantile_transformer,626,uniform,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.1441108530403702,3.669712858764878e-08,63.38119089797623,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+26,no_encoding,no_coalescense,,mean,robust_scaler,,,0.7194207293244546,0.25,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,False,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,1e-10,0.04073473488071534,least_squares,255,None,22,4,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+28,no_encoding,minority_coalescer,0.00397868572473159,mean,robust_scaler,,,0.7840854273341944,0.11376189722146844,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,k_nearest_neighbors,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,20,2,distance,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+31,no_encoding,minority_coalescer,0.00014899709205673406,most_frequent,robust_scaler,,,0.8498515960462831,0.2493877412289307,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,53.074440365115905,mutual_info,,,,ard_regression,,,,,2.7664515192592053e-05,9.504988116581138e-07,True,4.184987756432487e-09,4.238533890074848e-07,300,78251.58542976103,0.0006951835906397672,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+34,one_hot_encoding,no_coalescense,,most_frequent,quantile_transformer,952,uniform,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,1.8428972335335263e-10,0.012607824914758717,least_squares,255,None,10,8,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+39,no_encoding,minority_coalescer,0.013069046428333956,mean,quantile_transformer,1389,normal,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,mse,None,0.7517792740390704,None,0.0,6,2,0.0,,,,,,,,,,,,feature_type
+40,no_encoding,minority_coalescer,0.032459358237118964,mean,quantile_transformer,245,normal,,,fast_ica,,,,,,,,,,parallel,exp,1538,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.010616529299999268,3.3168147703951036e-07,4.182958258383621,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+43,no_encoding,no_coalescense,,mean,standardize,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.034904198000955684,fdr,f_regression,liblinear_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,35.012615180923554,False,0.7326132441316412,True,1,squared_epsilon_insensitive,0.00012982617662684841,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+48,no_encoding,minority_coalescer,0.007285175031750927,most_frequent,standardize,,,,,kernel_pca,,,,,,,,,,,,,,,,,,,,0.3892888368591911,rbf,1205,,,,,,,,,,,,,,,,,,,,,,,,,liblinear_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,527.2805278622302,False,0.0023914129516101872,True,1,squared_epsilon_insensitive,3.308026672204565e-05,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+50,one_hot_encoding,minority_coalescer,0.01047631022335275,median,minmax,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,True,mse,None,0.5535883939348928,None,0.0,2,16,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+54,one_hot_encoding,minority_coalescer,0.06501698406855842,most_frequent,standardize,,,,,fast_ica,,,,,,,,,,parallel,cube,184,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.06138907077602462,2.1193402649051655e-10,10.458248457966066,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+57,one_hot_encoding,minority_coalescer,0.0010413452644415357,mean,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,False,mae,None,0.6277363920171745,None,0.0,6,15,0.0,,,,,,,,,,,,feature_type
+58,one_hot_encoding,no_coalescense,,median,standardize,,,,,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,22.538520410186127,f_regression,,,,liblinear_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.036388789196735646,False,0.0012739627397164333,True,1,squared_epsilon_insensitive,0.020180468804448126,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+63,no_encoding,no_coalescense,,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,True,mse,None,0.9615263480351033,None,0.0,1,2,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+66,no_encoding,minority_coalescer,0.00016754269505428354,median,quantile_transformer,170,uniform,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mse,None,0.6962692885049272,None,0.0,17,17,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+67,no_encoding,no_coalescense,,median,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,valid,0.0018018055158809108,0.05048450688348591,least_squares,255,None,3,1,19,loss,1e-07,0.19819612428903174,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+70,no_encoding,minority_coalescer,0.015521269213050653,mean,quantile_transformer,472,normal,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,False,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,mse,None,0.1509528252746419,None,0.0,17,2,0.0,,,,,,,,,,,,feature_type
+73,no_encoding,minority_coalescer,0.010000000000000004,mean,none,,,,,feature_agglomeration,,,,,,,,,,,,,,manhattan,average,26,max,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.051300886003085196,0.00012664987999260594,4.670733780898565,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+77,no_encoding,minority_coalescer,0.28144748021848814,mean,robust_scaler,,,0.8771493204875395,0.13693823573634356,fast_ica,,,,,,,,,,deflation,cube,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,friedman_mse,None,1.0,None,0.0,1,2,0.0,,,,,,,,,,,,feature_type
+79,no_encoding,minority_coalescer,0.042366198588653134,most_frequent,minmax,,,,,fast_ica,,,,,,,,,,deflation,logcosh,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,7277.320824640944,,,0.0013490872095510865,0.03233188643981015,rbf,-1,True,0.0034607903098849255,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+82,no_encoding,minority_coalescer,0.05607310321489163,mean,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,28831.968873651404,0.39386733846748023,3,0.12370783564202235,0.0026233747431769617,poly,-1,True,4.714268123196739e-05,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+86,one_hot_encoding,no_coalescense,,most_frequent,standardize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,ard_regression,,,,,0.0003701926442639788,2.2118001735899097e-07,True,1.2037591637980971e-06,4.358378124977852e-09,300,1136.5286041327277,0.021944240404849075,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+89,one_hot_encoding,minority_coalescer,0.0011912229897445134,mean,standardize,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,0.005746611563553693,0.0913971028976721,least_squares,255,None,9,2,20,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+92,no_encoding,no_coalescense,,most_frequent,standardize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,True,,,,,,,,,,,,,mlp,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,tanh,0.00023501461451248853,auto,0.9,0.999,train,1e-08,1,0.00014972142082858664,32,234,True,adam,0.0001,,,,,,,,,,,,,,,,,,,,,,feature_type
+95,one_hot_encoding,minority_coalescer,0.010000000000000004,median,robust_scaler,,,0.7912621507143142,0.2637968890661204,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,5.997418027353535e-10,0.12286466971783992,least_squares,255,None,26,8,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+98,no_encoding,no_coalescense,,mean,robust_scaler,,,0.7010465420634562,0.19032833128592427,feature_agglomeration,,,,,,,,,,,,,,euclidean,ward,31,max,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,friedman_mse,None,0.7612289466695656,None,0.0,1,2,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+101,one_hot_encoding,no_coalescense,,median,robust_scaler,,,0.7548820011150241,0.02964869664953053,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,valid,3.1008789875481045e-10,0.9742767231340886,least_squares,255,None,76,8,10,loss,1e-07,0.08508571055472691,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+102,no_encoding,minority_coalescer,0.00829519231049576,mean,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,ard_regression,,,,,4.7044575285722365e-05,0.000629863807127318,True,7.584067704707025e-10,3.923255608410879e-08,300,4052.403778957396,0.009359388994186051,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+105,one_hot_encoding,no_coalescense,,median,none,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.4686252124441843,fpr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,valid,0.0038606936054114,0.020266625124044115,least_squares,255,None,458,158,18,loss,1e-07,0.27775972890692574,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+107,no_encoding,no_coalescense,,mean,robust_scaler,,,0.7727512096172742,0.22461598115758682,feature_agglomeration,,,,,,,,,,,,,,manhattan,complete,21,max,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,2.208787572338781e-05,0.036087332404571744,least_squares,255,None,64,3,18,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+110,no_encoding,minority_coalescer,0.0006869013905922761,mean,quantile_transformer,1352,normal,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.07357548990881542,fpr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,3.20414911914726e-10,0.1279702444496931,least_squares,255,None,63,19,8,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+115,no_encoding,no_coalescense,,mean,normalize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,ard_regression,,,,,0.0007694645303288904,6.907464089785431e-06,True,5.725240603355948e-06,2.2747405613470773e-05,300,58747.57814168738,5.818442213575333e-05,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+117,no_encoding,no_coalescense,,most_frequent,none,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.2031136218970144,,,0.340528001967228,,linear,-1,False,4.070347915643521e-05,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+119,no_encoding,minority_coalescer,0.0024824409953506307,most_frequent,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,True,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,friedman_mse,None,0.8276036843429629,None,0.0,5,13,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+124,one_hot_encoding,no_coalescense,,median,quantile_transformer,1779,normal,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,4.957506578736309e-07,0.05200721900508807,least_squares,255,None,4,2,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+126,no_encoding,minority_coalescer,0.010222641912650656,median,quantile_transformer,1092,uniform,,,feature_agglomeration,,,,,,,,,,,,,,euclidean,ward,59,mean,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,adaboost,0.010571278032840276,linear,10,116,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+128,one_hot_encoding,no_coalescense,,most_frequent,quantile_transformer,1040,uniform,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,1.27381234568573e-07,0.02758260805263155,least_squares,255,None,57,5,1,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+132,one_hot_encoding,minority_coalescer,0.0001745391328519669,most_frequent,robust_scaler,,,0.8057830372269097,0.24982831110057324,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.3621762718897781,fwe,f_regression,ard_regression,,,,,2.7664515192592053e-05,9.504988116581138e-07,True,6.50650698230178e-09,4.238533890074848e-07,300,78251.58542976103,0.0007301343236220855,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+136,one_hot_encoding,minority_coalescer,0.008225465238838799,most_frequent,quantile_transformer,709,uniform,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2.1305589487469477e-06,0.0002524679984945707,57.09316986719562,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+138,no_encoding,minority_coalescer,0.018981164720696175,median,minmax,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.03175182874113965,0.00030344963288406407,64164.586360277535,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+140,no_encoding,no_coalescense,,median,minmax,,,,,feature_agglomeration,,,,,,,,,,,,,,euclidean,average,272,median,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mse,None,0.5120356089629183,None,0.0,1,4,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+144,one_hot_encoding,minority_coalescer,0.0033650478527174027,median,none,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,True,friedman_mse,None,0.7303174358688075,None,0.0,10,10,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+148,no_encoding,no_coalescense,,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,ard_regression,,,,,0.0005879259823371087,3.410007832100047e-07,True,1.6597956274062097e-05,9.910691609164284e-10,300,2203.910297381356,0.006471761365578467,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+150,no_encoding,no_coalescense,,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mse,None,0.9797793053686011,None,0.0,1,4,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+153,one_hot_encoding,minority_coalescer,0.00013899061331455512,mean,minmax,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.19203734614573903,fdr,f_regression,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.28764734226521,1.5934220315148466e-07,59443.23501615305,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+156,no_encoding,minority_coalescer,0.013018052591541176,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,friedman_mse,None,0.9734334465992716,None,0.0,2,9,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+158,one_hot_encoding,minority_coalescer,0.0001897686484596082,median,robust_scaler,,,0.7768342897092668,0.27222390764426924,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.00025503968621419157,1.161826998793312e-08,80.91415602800988,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+160,one_hot_encoding,no_coalescense,,mean,standardize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,False,,,,,,,,,,,,,ard_regression,,,,,0.0007518973788007592,2.1035374255689506e-10,True,1.9130145173139983e-06,6.539971988038889e-10,300,3146.7808694741443,0.0003708004149981124,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+163,no_encoding,no_coalescense,,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,True,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.283161627129086,7.245332579977274e-08,36.28453043772396,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+168,one_hot_encoding,minority_coalescer,0.001512533360913062,median,none,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.07521950921951931,fwe,f_regression,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,friedman_mse,None,0.7805550079834586,None,0.0,3,20,0.0,,,,,,,,,,,,feature_type
+171,one_hot_encoding,no_coalescense,,mean,quantile_transformer,268,uniform,,,feature_agglomeration,,,,,,,,,,,,,,euclidean,average,107,median,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.42928092501196696,1.4435895787652725e-07,8.108685026706572,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+174,one_hot_encoding,no_coalescense,,most_frequent,none,,,,,fast_ica,,,,,,,,,,deflation,exp,671,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,ard_regression,,,,,4.124442820298477e-05,1.161663644436331e-06,True,1.5236144126449076e-09,0.00046882633285888015,300,86828.75337540788,0.0010379122151177183,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+176,one_hot_encoding,minority_coalescer,0.019566163649872924,most_frequent,robust_scaler,,,0.7200608810425068,0.22968043330398744,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.18539282936320728,fwe,f_regression,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mae,None,0.9029989558220115,None,0.0,1,2,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+179,no_encoding,no_coalescense,,most_frequent,normalize,,,,,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,91.55750915031366,mutual_info,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,True,friedman_mse,None,0.24739007040418165,None,0.0,4,17,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+182,one_hot_encoding,no_coalescense,,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,valid,0.013442521728157596,0.15308825058123207,least_squares,255,None,26,6,20,loss,1e-07,0.08504769517258337,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+184,no_encoding,no_coalescense,,mean,normalize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,True,,,,,,,,,,,,,ard_regression,,,,,6.074038958967586e-05,4.934531533509717e-07,True,0.00034504048920015604,1.4861857758465898e-06,300,1995.6088649916076,0.0033943514455527686,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+186,no_encoding,minority_coalescer,0.010515112787842862,most_frequent,quantile_transformer,583,uniform,,,feature_agglomeration,,,,,,,,,,,,,,euclidean,average,5,mean,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.00015169626319121407,0.0006853872700383563,80227.86048666916,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+191,one_hot_encoding,minority_coalescer,0.039520728280417826,mean,minmax,,,,,kitchen_sinks,,,,,,,,,,,,,,,,,,,,,,,5.288249085278679,4176,,,,,,,,,,,,,,,,,,,,,,,liblinear_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,224.245634141281,False,0.009173958659191201,True,1,squared_epsilon_insensitive,1.9920161216131034e-05,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+193,no_encoding,no_coalescense,,mean,robust_scaler,,,0.7550402508982338,0.24842410508333093,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,True,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,6.238367840293606e-10,0.026111542610815466,least_squares,255,None,177,37,18,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+197,one_hot_encoding,minority_coalescer,0.009368863843266871,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.02846835702208294,1.2011941574832026e-06,67511.87095482116,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+199,no_encoding,minority_coalescer,0.44467269258042313,most_frequent,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,6.676910625638355e-09,0.052530803029130685,least_squares,255,None,31,20,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+201,one_hot_encoding,minority_coalescer,0.0022298554040543614,most_frequent,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,1.3053128884667706e-10,0.05594167483605857,least_squares,255,None,85,10,4,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+204,no_encoding,minority_coalescer,0.22734310669224594,most_frequent,robust_scaler,,,0.9761574925741068,0.2928944546265386,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.04882039966006706,fdr,f_regression,extra_trees,,,,,,,,,,,,,,,,,,,,,False,friedman_mse,None,0.9982746726091221,None,0.0,4,2,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+207,one_hot_encoding,minority_coalescer,0.010000000000000004,mean,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,True,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,6.085630700044881e-10,0.12392806728650493,least_squares,255,None,31,25,7,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+211,no_encoding,no_coalescense,,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,180.22479438529933,,,0.0012571604901280202,0.10272820821863678,rbf,-1,False,0.02945259690926852,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+214,one_hot_encoding,no_coalescense,,most_frequent,standardize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,True,,,,,,,,,,,,,sgd,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.00038839431353936653,False,,0.0007930509929393179,True,0.61724426807128,constant,squared_loss,elasticnet,,1.285973891441802e-05,feature_type
+217,one_hot_encoding,minority_coalescer,0.00013426375251483367,mean,quantile_transformer,1000,normal,,,extra_trees_preproc_for_regression,False,mae,None,0.9485456391530016,None,2,11,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,mae,None,1.0,None,0.0,1,5,0.0,,,,,,,,,,,,feature_type
+221,one_hot_encoding,minority_coalescer,0.009016977995123954,most_frequent,standardize,,,,,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,94.50207398648911,f_regression,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,False,mse,None,0.18485496201511814,None,0.0,18,18,0.0,,,,,,,,,,,,feature_type
+224,one_hot_encoding,no_coalescense,,median,quantile_transformer,1016,uniform,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.3992671482410072,fpr,f_regression,extra_trees,,,,,,,,,,,,,,,,,,,,,True,mse,None,0.2477939208870194,None,0.0,2,4,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+225,one_hot_encoding,minority_coalescer,0.010356286469647443,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,mlp,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,relu,6.108449182457731e-05,auto,0.9,0.999,valid,1e-08,3,0.00027704755935258253,32,101,True,adam,0.0001,0.1,,,,,,,,,,,,,,,,,,,,,feature_type
+228,no_encoding,minority_coalescer,0.0005112414168823774,median,standardize,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.4807408968132736,fdr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,5.775517309881741e-08,0.020024969424259676,least_squares,255,None,156,85,16,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+232,no_encoding,no_coalescense,,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,False,,,,,,,,,,,,,sgd,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.0006517033225329654,False,0.012150149892783745,0.016444224834275295,True,1.7462342366289323e-09,invscaling,epsilon_insensitive,elasticnet,0.21521743568582094,0.002431731981071206,feature_type
+235,one_hot_encoding,minority_coalescer,0.010000000000000004,most_frequent,standardize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.035440248140559884,1.142436233486746e-09,2235.498740920408,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+237,no_encoding,minority_coalescer,0.007741331259480108,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.020932011717701825,7.512295484675918e-08,427.92917011793116,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+240,one_hot_encoding,minority_coalescer,0.010000000000000004,mean,standardize,,,,,extra_trees_preproc_for_regression,True,friedman_mse,None,0.969236220539822,None,1,2,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.013068012551322245,2.979079708104577e-07,50599.0613366392,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+245,one_hot_encoding,minority_coalescer,0.052483220498897844,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.017488165983844263,4.199154538507709e-05,18825.14718012417,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+247,one_hot_encoding,minority_coalescer,0.014192135928954746,median,standardize,,,,,fast_ica,,,,,,,,,,deflation,exp,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1.4272136443763257,0.2694141260648879,2,0.10000000000000006,0.05757315877344016,poly,-1,False,0.0010000000000000002,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+251,no_encoding,no_coalescense,,median,standardize,,,,,extra_trees_preproc_for_regression,True,mae,None,0.7533134853493275,None,1,4,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,0.8025720428105109,0.2759754081799624,least_squares,255,None,18,172,11,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+252,one_hot_encoding,minority_coalescer,0.0001745391328519669,most_frequent,robust_scaler,,,0.8057830372269097,0.24982831110057324,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.3621762718897781,fwe,f_regression,ard_regression,,,,,2.7664515192592053e-05,9.504988116581138e-07,True,6.50650698230178e-09,4.238533890074848e-07,300,78251.58542976103,0.0007301343236220855,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+257,one_hot_encoding,minority_coalescer,0.0216783950539192,mean,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,0.00010889929093369623,0.013461560146088193,least_squares,255,None,922,78,19,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+258,no_encoding,minority_coalescer,0.06944124485705933,median,robust_scaler,,,0.9459191670017113,0.19705568051981365,feature_agglomeration,,,,,,,,,,,,,,euclidean,ward,25,median,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,ard_regression,,,,,1.3451538602739027e-05,9.646408445137836e-08,True,2.5198380744059647e-07,3.03274213695262e-10,300,1212.6400146193068,0.0014720713972345503,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+262,no_encoding,minority_coalescer,0.0017516626568532072,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.09414230179794553,1.3692618062770113e-09,15642.37580197983,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+266,no_encoding,minority_coalescer,0.0002660105205394136,median,none,,,,,fast_ica,,,,,,,,,,deflation,logcosh,977,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,liblinear_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.1637099972824213,False,0.5342957861386396,True,1,squared_epsilon_insensitive,0.00011557548242116838,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+268,no_encoding,minority_coalescer,0.019298178366706394,mean,minmax,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,decision_tree,,,,,,,,,,,,,mae,0.2781806943014362,1.0,None,0.0,17,7,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+270,one_hot_encoding,no_coalescense,,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.037731974209709904,5.002213042554931e-07,22409.945864393645,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+274,one_hot_encoding,minority_coalescer,0.0002682359625135144,mean,quantile_transformer,1567,uniform,,,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,85.70259306141033,f_regression,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,6.536723381440492e-05,0.03940103065495631,least_squares,255,None,77,9,7,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+276,one_hot_encoding,no_coalescense,,median,minmax,,,,,pca,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.991729015298316,True,,,,,,,,,,,,,,,,adaboost,0.019011223549222432,linear,9,395,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+279,no_encoding,minority_coalescer,0.4873131661139947,mean,standardize,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.43441750135120694,fpr,f_regression,k_nearest_neighbors,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,2,distance,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+282,one_hot_encoding,minority_coalescer,0.024334629729258105,most_frequent,standardize,,,,,extra_trees_preproc_for_regression,False,mae,None,0.9280962404032027,None,1,11,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.02341626598167312,1.0753192773067984e-09,30626.12455645968,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+285,no_encoding,no_coalescense,,mean,minmax,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.2186105871515939,fdr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,0.10377482408306521,0.016255400771699312,least_squares,255,None,65,70,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
diff --git a/autosklearn/metalearning/files/r2_regression_sparse/configurations.csv b/autosklearn/metalearning/files/r2_regression_sparse/configurations.csv
index 52fdb0ce9f..c1fbd54024 100644
--- a/autosklearn/metalearning/files/r2_regression_sparse/configurations.csv
+++ b/autosklearn/metalearning/files/r2_regression_sparse/configurations.csv
@@ -1,98 +1,98 @@
-idx,data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__,data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__,data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction,data_preprocessor:feature_type:numerical_transformer:imputation:strategy,data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__,data_preprocessor:feature_type:numerical_transformer:rescaling:quantile_transformer:n_quantiles,data_preprocessor:feature_type:numerical_transformer:rescaling:quantile_transformer:output_distribution,data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_max,data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_min,feature_preprocessor:__choice__,feature_preprocessor:extra_trees_preproc_for_regression:bootstrap,feature_preprocessor:extra_trees_preproc_for_regression:criterion,feature_preprocessor:extra_trees_preproc_for_regression:max_depth,feature_preprocessor:extra_trees_preproc_for_regression:max_features,feature_preprocessor:extra_trees_preproc_for_regression:max_leaf_nodes,feature_preprocessor:extra_trees_preproc_for_regression:min_samples_leaf,feature_preprocessor:extra_trees_preproc_for_regression:min_samples_split,feature_preprocessor:extra_trees_preproc_for_regression:min_weight_fraction_leaf,feature_preprocessor:extra_trees_preproc_for_regression:n_estimators,feature_preprocessor:fast_ica:algorithm,feature_preprocessor:fast_ica:fun,feature_preprocessor:fast_ica:n_components,feature_preprocessor:fast_ica:whiten,feature_preprocessor:feature_agglomeration:affinity,feature_preprocessor:feature_agglomeration:linkage,feature_preprocessor:feature_agglomeration:n_clusters,feature_preprocessor:feature_agglomeration:pooling_func,feature_preprocessor:kernel_pca:coef0,feature_preprocessor:kernel_pca:degree,feature_preprocessor:kernel_pca:gamma,feature_preprocessor:kernel_pca:kernel,feature_preprocessor:kernel_pca:n_components,feature_preprocessor:kitchen_sinks:gamma,feature_preprocessor:kitchen_sinks:n_components,feature_preprocessor:nystroem_sampler:coef0,feature_preprocessor:nystroem_sampler:degree,feature_preprocessor:nystroem_sampler:gamma,feature_preprocessor:nystroem_sampler:kernel,feature_preprocessor:nystroem_sampler:n_components,feature_preprocessor:pca:keep_variance,feature_preprocessor:pca:whiten,feature_preprocessor:polynomial:degree,feature_preprocessor:polynomial:include_bias,feature_preprocessor:polynomial:interaction_only,feature_preprocessor:random_trees_embedding:bootstrap,feature_preprocessor:random_trees_embedding:max_depth,feature_preprocessor:random_trees_embedding:max_leaf_nodes,feature_preprocessor:random_trees_embedding:min_samples_leaf,feature_preprocessor:random_trees_embedding:min_samples_split,feature_preprocessor:random_trees_embedding:min_weight_fraction_leaf,feature_preprocessor:random_trees_embedding:n_estimators,feature_preprocessor:select_percentile_regression:percentile,feature_preprocessor:select_percentile_regression:score_func,feature_preprocessor:select_rates_regression:alpha,feature_preprocessor:select_rates_regression:mode,feature_preprocessor:select_rates_regression:score_func,regressor:__choice__,regressor:adaboost:learning_rate,regressor:adaboost:loss,regressor:adaboost:max_depth,regressor:adaboost:n_estimators,regressor:ard_regression:alpha_1,regressor:ard_regression:alpha_2,regressor:ard_regression:fit_intercept,regressor:ard_regression:lambda_1,regressor:ard_regression:lambda_2,regressor:ard_regression:n_iter,regressor:ard_regression:threshold_lambda,regressor:ard_regression:tol,regressor:decision_tree:criterion,regressor:decision_tree:max_depth_factor,regressor:decision_tree:max_features,regressor:decision_tree:max_leaf_nodes,regressor:decision_tree:min_impurity_decrease,regressor:decision_tree:min_samples_leaf,regressor:decision_tree:min_samples_split,regressor:decision_tree:min_weight_fraction_leaf,regressor:extra_trees:bootstrap,regressor:extra_trees:criterion,regressor:extra_trees:max_depth,regressor:extra_trees:max_features,regressor:extra_trees:max_leaf_nodes,regressor:extra_trees:min_impurity_decrease,regressor:extra_trees:min_samples_leaf,regressor:extra_trees:min_samples_split,regressor:extra_trees:min_weight_fraction_leaf,regressor:gaussian_process:alpha,regressor:gaussian_process:thetaL,regressor:gaussian_process:thetaU,regressor:gradient_boosting:early_stop,regressor:gradient_boosting:l2_regularization,regressor:gradient_boosting:learning_rate,regressor:gradient_boosting:loss,regressor:gradient_boosting:max_bins,regressor:gradient_boosting:max_depth,regressor:gradient_boosting:max_leaf_nodes,regressor:gradient_boosting:min_samples_leaf,regressor:gradient_boosting:n_iter_no_change,regressor:gradient_boosting:scoring,regressor:gradient_boosting:tol,regressor:gradient_boosting:validation_fraction,regressor:k_nearest_neighbors:n_neighbors,regressor:k_nearest_neighbors:p,regressor:k_nearest_neighbors:weights,regressor:liblinear_svr:C,regressor:liblinear_svr:dual,regressor:liblinear_svr:epsilon,regressor:liblinear_svr:fit_intercept,regressor:liblinear_svr:intercept_scaling,regressor:liblinear_svr:loss,regressor:liblinear_svr:tol,regressor:libsvm_svr:C,regressor:libsvm_svr:coef0,regressor:libsvm_svr:degree,regressor:libsvm_svr:epsilon,regressor:libsvm_svr:gamma,regressor:libsvm_svr:kernel,regressor:libsvm_svr:max_iter,regressor:libsvm_svr:shrinking,regressor:libsvm_svr:tol,regressor:mlp:activation,regressor:mlp:alpha,regressor:mlp:batch_size,regressor:mlp:beta_1,regressor:mlp:beta_2,regressor:mlp:early_stopping,regressor:mlp:epsilon,regressor:mlp:hidden_layer_depth,regressor:mlp:learning_rate_init,regressor:mlp:n_iter_no_change,regressor:mlp:num_nodes_per_layer,regressor:mlp:shuffle,regressor:mlp:solver,regressor:mlp:tol,regressor:mlp:validation_fraction,regressor:random_forest:bootstrap,regressor:random_forest:criterion,regressor:random_forest:max_depth,regressor:random_forest:max_features,regressor:random_forest:max_leaf_nodes,regressor:random_forest:min_impurity_decrease,regressor:random_forest:min_samples_leaf,regressor:random_forest:min_samples_split,regressor:random_forest:min_weight_fraction_leaf,regressor:sgd:alpha,regressor:sgd:average,regressor:sgd:epsilon,regressor:sgd:eta0,regressor:sgd:fit_intercept,regressor:sgd:l1_ratio,regressor:sgd:learning_rate,regressor:sgd:loss,regressor:sgd:penalty,regressor:sgd:power_t,regressor:sgd:tol,data_preprocessor:__choice__
-2,no_encoding,no_coalescense,,most_frequent,standardize,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.1,fpr,f_regression,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.019645201003537352,1.1170068633409441e-07,130.632960269528,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-6,one_hot_encoding,minority_coalescer,0.000400759453878678,mean,minmax,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.09988990258830989,fpr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,3.0002886744200357e-06,0.015673535665067875,least_squares,255,None,7,23,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-7,one_hot_encoding,no_coalescense,,most_frequent,quantile_transformer,809,uniform,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,True,,,,,,,,,,,,,sgd,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.01806079811541296,False,,0.015540128437738566,True,0.9326390049807726,constant,squared_loss,elasticnet,,0.00010576654619459039,feature_type
-10,one_hot_encoding,minority_coalescer,0.00010349207190621693,mean,quantile_transformer,229,normal,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.055967923991199715,1.8694491708470566e-10,1.8954846844548174,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-13,one_hot_encoding,no_coalescense,,mean,standardize,,,,,extra_trees_preproc_for_regression,False,mse,None,0.7631509999921062,None,2,2,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,mlp,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,relu,6.037842605388564e-07,auto,0.9,0.999,valid,1e-08,3,0.0001120732057918536,32,100,True,adam,0.0001,0.1,,,,,,,,,,,,,,,,,,,,,feature_type
-17,one_hot_encoding,minority_coalescer,0.010250361463446604,mean,minmax,,,,,fast_ica,,,,,,,,,,parallel,exp,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,194.03096694114694,,3,0.0010214279074797082,0.20113065159176252,rbf,-1,True,0.0206281932709369,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-19,one_hot_encoding,minority_coalescer,0.0013057623156653984,median,robust_scaler,,,0.7384386306109247,0.13619830011156256,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,47.935402876904554,f_regression,,,,sgd,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3.1920798638358104e-06,True,0.1,2.5662550861454332e-06,True,,invscaling,squared_epsilon_insensitive,l2,0.16443692558514034,7.823786229838958e-05,feature_type
-23,no_encoding,no_coalescense,,mean,quantile_transformer,626,uniform,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.1441108530403702,3.669712858764878e-08,63.38119089797623,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-26,no_encoding,no_coalescense,,mean,robust_scaler,,,0.7194207293244546,0.25,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,False,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,1e-10,0.04073473488071534,least_squares,255,None,22,4,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-28,no_encoding,minority_coalescer,0.00397868572473159,mean,robust_scaler,,,0.7840854273341944,0.11376189722146844,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,k_nearest_neighbors,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,20,2,distance,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-31,no_encoding,minority_coalescer,0.00014899709205673406,most_frequent,robust_scaler,,,0.8498515960462831,0.2493877412289307,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,53.074440365115905,mutual_info,,,,ard_regression,,,,,2.7664515192592053e-05,9.504988116581138e-07,True,4.184987756432487e-09,4.238533890074848e-07,300,78251.58542976103,0.0006951835906397672,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-34,one_hot_encoding,no_coalescense,,most_frequent,quantile_transformer,952,uniform,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,1.8428972335335263e-10,0.012607824914758717,least_squares,255,None,10,8,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-39,no_encoding,minority_coalescer,0.013069046428333956,mean,quantile_transformer,1389,normal,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,mse,None,0.7517792740390704,None,0.0,6,2,0.0,,,,,,,,,,,,feature_type
-40,no_encoding,minority_coalescer,0.032459358237118964,mean,quantile_transformer,245,normal,,,fast_ica,,,,,,,,,,parallel,exp,1538,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.010616529299999268,3.3168147703951036e-07,4.182958258383621,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-43,no_encoding,no_coalescense,,mean,standardize,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.034904198000955684,fdr,f_regression,liblinear_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,35.012615180923554,False,0.7326132441316412,True,1,squared_epsilon_insensitive,0.00012982617662684841,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-48,no_encoding,minority_coalescer,0.007285175031750927,most_frequent,standardize,,,,,kernel_pca,,,,,,,,,,,,,,,,,,,,0.3892888368591911,rbf,1205,,,,,,,,,,,,,,,,,,,,,,,,,liblinear_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,527.2805278622302,False,0.0023914129516101872,True,1,squared_epsilon_insensitive,3.308026672204565e-05,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-50,one_hot_encoding,minority_coalescer,0.01047631022335275,median,minmax,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,True,mse,None,0.5535883939348928,None,0.0,2,16,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-54,one_hot_encoding,minority_coalescer,0.06501698406855842,most_frequent,standardize,,,,,fast_ica,,,,,,,,,,parallel,cube,184,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.06138907077602462,2.1193402649051655e-10,10.458248457966066,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-57,one_hot_encoding,minority_coalescer,0.0010413452644415357,mean,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,False,mae,None,0.6277363920171745,None,0.0,6,15,0.0,,,,,,,,,,,,feature_type
-58,one_hot_encoding,no_coalescense,,median,standardize,,,,,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,22.538520410186127,f_regression,,,,liblinear_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.036388789196735646,False,0.0012739627397164333,True,1,squared_epsilon_insensitive,0.020180468804448126,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-63,no_encoding,no_coalescense,,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,True,mse,None,0.9615263480351033,None,0.0,1,2,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-66,no_encoding,minority_coalescer,0.00016754269505428354,median,quantile_transformer,170,uniform,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mse,None,0.6962692885049272,None,0.0,17,17,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-67,no_encoding,no_coalescense,,median,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,valid,0.0018018055158809108,0.05048450688348591,least_squares,255,None,3,1,19,loss,1e-07,0.19819612428903174,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-70,no_encoding,minority_coalescer,0.015521269213050653,mean,quantile_transformer,472,normal,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,False,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,mse,None,0.1509528252746419,None,0.0,17,2,0.0,,,,,,,,,,,,feature_type
-73,no_encoding,minority_coalescer,0.010000000000000004,mean,none,,,,,feature_agglomeration,,,,,,,,,,,,,,manhattan,average,26,max,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.051300886003085196,0.00012664987999260594,4.670733780898565,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-77,no_encoding,minority_coalescer,0.28144748021848814,mean,robust_scaler,,,0.8771493204875395,0.13693823573634356,fast_ica,,,,,,,,,,deflation,cube,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,friedman_mse,None,1.0,None,0.0,1,2,0.0,,,,,,,,,,,,feature_type
-79,no_encoding,minority_coalescer,0.042366198588653134,most_frequent,minmax,,,,,fast_ica,,,,,,,,,,deflation,logcosh,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,7277.320824640944,,2,0.0013490872095510865,0.03233188643981015,rbf,-1,True,0.0034607903098849255,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-82,no_encoding,minority_coalescer,0.05607310321489163,mean,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,28831.968873651404,0.39386733846748023,3,0.12370783564202235,0.0026233747431769617,poly,-1,True,4.714268123196739e-05,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-86,one_hot_encoding,no_coalescense,,most_frequent,standardize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,ard_regression,,,,,0.0003701926442639788,2.2118001735899097e-07,True,1.2037591637980971e-06,4.358378124977852e-09,300,1136.5286041327277,0.021944240404849075,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-89,one_hot_encoding,minority_coalescer,0.0011912229897445134,mean,standardize,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,0.005746611563553693,0.0913971028976721,least_squares,255,None,9,2,20,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-92,no_encoding,no_coalescense,,most_frequent,standardize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,True,,,,,,,,,,,,,mlp,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,tanh,0.00023501461451248853,auto,0.9,0.999,train,1e-08,1,0.00014972142082858664,32,234,True,adam,0.0001,,,,,,,,,,,,,,,,,,,,,,feature_type
-95,one_hot_encoding,minority_coalescer,0.010000000000000004,median,robust_scaler,,,0.7912621507143142,0.2637968890661204,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,5.997418027353535e-10,0.12286466971783992,least_squares,255,None,26,8,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-98,no_encoding,no_coalescense,,mean,robust_scaler,,,0.7010465420634562,0.19032833128592427,feature_agglomeration,,,,,,,,,,,,,,euclidean,ward,31,max,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,friedman_mse,None,0.7612289466695656,None,0.0,1,2,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-101,one_hot_encoding,no_coalescense,,median,robust_scaler,,,0.7548820011150241,0.02964869664953053,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,valid,3.1008789875481045e-10,0.9742767231340886,least_squares,255,None,76,8,10,loss,1e-07,0.08508571055472691,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-102,no_encoding,minority_coalescer,0.00829519231049576,mean,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,ard_regression,,,,,4.7044575285722365e-05,0.000629863807127318,True,7.584067704707025e-10,3.923255608410879e-08,300,4052.403778957396,0.009359388994186051,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-105,one_hot_encoding,no_coalescense,,median,none,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.4686252124441843,fpr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,valid,0.0038606936054114,0.020266625124044115,least_squares,255,None,458,158,18,loss,1e-07,0.27775972890692574,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-107,no_encoding,no_coalescense,,mean,robust_scaler,,,0.7727512096172742,0.22461598115758682,feature_agglomeration,,,,,,,,,,,,,,manhattan,complete,21,max,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,2.208787572338781e-05,0.036087332404571744,least_squares,255,None,64,3,18,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-110,no_encoding,minority_coalescer,0.0006869013905922761,mean,quantile_transformer,1352,normal,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.07357548990881542,fpr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,3.20414911914726e-10,0.1279702444496931,least_squares,255,None,63,19,8,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-115,no_encoding,no_coalescense,,mean,normalize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,ard_regression,,,,,0.0007694645303288904,6.907464089785431e-06,True,5.725240603355948e-06,2.2747405613470773e-05,300,58747.57814168738,5.818442213575333e-05,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-117,no_encoding,no_coalescense,,most_frequent,none,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.2031136218970144,,,0.340528001967228,,linear,-1,False,4.070347915643521e-05,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-119,no_encoding,minority_coalescer,0.0024824409953506307,most_frequent,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,True,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,friedman_mse,None,0.8276036843429629,None,0.0,5,13,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-124,one_hot_encoding,no_coalescense,,median,quantile_transformer,1779,normal,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,4.957506578736309e-07,0.05200721900508807,least_squares,255,None,4,2,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-126,no_encoding,minority_coalescer,0.010222641912650656,median,quantile_transformer,1092,uniform,,,feature_agglomeration,,,,,,,,,,,,,,euclidean,ward,59,mean,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,adaboost,0.010571278032840276,linear,10,116,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-128,one_hot_encoding,no_coalescense,,most_frequent,quantile_transformer,1040,uniform,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,1.27381234568573e-07,0.02758260805263155,least_squares,255,None,57,5,1,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-132,one_hot_encoding,minority_coalescer,0.0001745391328519669,most_frequent,robust_scaler,,,0.8057830372269097,0.24982831110057324,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.3621762718897781,fwe,f_regression,ard_regression,,,,,2.7664515192592053e-05,9.504988116581138e-07,True,6.50650698230178e-09,4.238533890074848e-07,300,78251.58542976103,0.0007301343236220855,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-136,one_hot_encoding,minority_coalescer,0.008225465238838799,most_frequent,quantile_transformer,709,uniform,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2.1305589487469477e-06,0.0002524679984945707,57.09316986719562,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-138,no_encoding,minority_coalescer,0.018981164720696175,median,minmax,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.03175182874113965,0.00030344963288406407,64164.586360277535,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-140,no_encoding,no_coalescense,,median,minmax,,,,,feature_agglomeration,,,,,,,,,,,,,,euclidean,average,272,median,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mse,None,0.5120356089629183,None,0.0,1,4,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-144,one_hot_encoding,minority_coalescer,0.0033650478527174027,median,none,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,True,friedman_mse,None,0.7303174358688075,None,0.0,10,10,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-148,no_encoding,no_coalescense,,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,ard_regression,,,,,0.0005879259823371087,3.410007832100047e-07,True,1.6597956274062097e-05,9.910691609164284e-10,300,2203.910297381356,0.006471761365578467,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-150,no_encoding,no_coalescense,,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mse,None,0.9797793053686011,None,0.0,1,4,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-153,one_hot_encoding,minority_coalescer,0.00013899061331455512,mean,minmax,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.19203734614573903,fdr,f_regression,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.28764734226521,1.5934220315148466e-07,59443.23501615305,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-156,no_encoding,minority_coalescer,0.013018052591541176,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,friedman_mse,None,0.9734334465992716,None,0.0,2,9,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-158,one_hot_encoding,minority_coalescer,0.0001897686484596082,median,robust_scaler,,,0.7768342897092668,0.27222390764426924,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.00025503968621419157,1.161826998793312e-08,80.91415602800988,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-160,one_hot_encoding,no_coalescense,,mean,standardize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,False,,,,,,,,,,,,,ard_regression,,,,,0.0007518973788007592,2.1035374255689506e-10,True,1.9130145173139983e-06,6.539971988038889e-10,300,3146.7808694741443,0.0003708004149981124,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-163,no_encoding,no_coalescense,,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,True,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.283161627129086,7.245332579977274e-08,36.28453043772396,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-168,one_hot_encoding,minority_coalescer,0.001512533360913062,median,none,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.07521950921951931,fwe,f_regression,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,friedman_mse,None,0.7805550079834586,None,0.0,3,20,0.0,,,,,,,,,,,,feature_type
-171,one_hot_encoding,no_coalescense,,mean,quantile_transformer,268,uniform,,,feature_agglomeration,,,,,,,,,,,,,,euclidean,average,107,median,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.42928092501196696,1.4435895787652725e-07,8.108685026706572,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-174,one_hot_encoding,no_coalescense,,most_frequent,none,,,,,fast_ica,,,,,,,,,,deflation,exp,671,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,ard_regression,,,,,4.124442820298477e-05,1.161663644436331e-06,True,1.5236144126449076e-09,0.00046882633285888015,300,86828.75337540788,0.0010379122151177183,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-176,one_hot_encoding,minority_coalescer,0.019566163649872924,most_frequent,robust_scaler,,,0.7200608810425068,0.22968043330398744,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.18539282936320728,fwe,f_regression,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mae,None,0.9029989558220115,None,0.0,1,2,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-179,no_encoding,no_coalescense,,most_frequent,normalize,,,,,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,91.55750915031366,mutual_info,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,True,friedman_mse,None,0.24739007040418165,None,0.0,4,17,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-182,one_hot_encoding,no_coalescense,,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,valid,0.013442521728157596,0.15308825058123207,least_squares,255,None,26,6,20,loss,1e-07,0.08504769517258337,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-184,no_encoding,no_coalescense,,mean,normalize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,True,,,,,,,,,,,,,ard_regression,,,,,6.074038958967586e-05,4.934531533509717e-07,True,0.00034504048920015604,1.4861857758465898e-06,300,1995.6088649916076,0.0033943514455527686,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-186,no_encoding,minority_coalescer,0.010515112787842862,most_frequent,quantile_transformer,583,uniform,,,feature_agglomeration,,,,,,,,,,,,,,euclidean,average,5,mean,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.00015169626319121407,0.0006853872700383563,80227.86048666916,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-191,one_hot_encoding,minority_coalescer,0.039520728280417826,mean,minmax,,,,,kitchen_sinks,,,,,,,,,,,,,,,,,,,,,,,5.288249085278679,4176,,,,,,,,,,,,,,,,,,,,,,,liblinear_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,224.245634141281,False,0.009173958659191201,True,1,squared_epsilon_insensitive,1.9920161216131034e-05,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-193,no_encoding,no_coalescense,,mean,robust_scaler,,,0.7550402508982338,0.24842410508333093,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,True,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,6.238367840293606e-10,0.026111542610815466,least_squares,255,None,177,37,18,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-197,one_hot_encoding,minority_coalescer,0.009368863843266871,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.02846835702208294,1.2011941574832026e-06,67511.87095482116,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-199,no_encoding,minority_coalescer,0.44467269258042313,most_frequent,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,6.676910625638355e-09,0.052530803029130685,least_squares,255,None,31,20,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-201,one_hot_encoding,minority_coalescer,0.0022298554040543614,most_frequent,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,1.3053128884667706e-10,0.05594167483605857,least_squares,255,None,85,10,4,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-204,no_encoding,minority_coalescer,0.22734310669224594,most_frequent,robust_scaler,,,0.9761574925741068,0.2928944546265386,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.04882039966006706,fdr,f_regression,extra_trees,,,,,,,,,,,,,,,,,,,,,False,friedman_mse,None,0.9982746726091221,None,0.0,4,2,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-207,one_hot_encoding,minority_coalescer,0.010000000000000004,mean,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,True,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,6.085630700044881e-10,0.12392806728650493,least_squares,255,None,31,25,7,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-211,no_encoding,no_coalescense,,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,180.22479438529933,,4,0.0012571604901280202,0.10272820821863678,rbf,-1,False,0.02945259690926852,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-214,one_hot_encoding,no_coalescense,,most_frequent,standardize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,True,,,,,,,,,,,,,sgd,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.00038839431353936653,False,,0.0007930509929393179,True,0.61724426807128,constant,squared_loss,elasticnet,,1.285973891441802e-05,feature_type
-217,one_hot_encoding,minority_coalescer,0.00013426375251483367,mean,quantile_transformer,1000,normal,,,extra_trees_preproc_for_regression,False,mae,None,0.9485456391530016,None,2,11,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,mae,None,1.0,None,0.0,1,5,0.0,,,,,,,,,,,,feature_type
-221,one_hot_encoding,minority_coalescer,0.009016977995123954,most_frequent,standardize,,,,,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,94.50207398648911,f_regression,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,False,mse,None,0.18485496201511814,None,0.0,18,18,0.0,,,,,,,,,,,,feature_type
-224,one_hot_encoding,no_coalescense,,median,quantile_transformer,1016,uniform,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.3992671482410072,fpr,f_regression,extra_trees,,,,,,,,,,,,,,,,,,,,,True,mse,None,0.2477939208870194,None,0.0,2,4,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-225,one_hot_encoding,minority_coalescer,0.010356286469647443,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,mlp,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,relu,6.108449182457731e-05,auto,0.9,0.999,valid,1e-08,3,0.00027704755935258253,32,101,True,adam,0.0001,0.1,,,,,,,,,,,,,,,,,,,,,feature_type
-228,no_encoding,minority_coalescer,0.0005112414168823774,median,standardize,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.4807408968132736,fdr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,5.775517309881741e-08,0.020024969424259676,least_squares,255,None,156,85,16,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-232,no_encoding,no_coalescense,,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,False,,,,,,,,,,,,,sgd,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.0006517033225329654,False,0.012150149892783745,0.016444224834275295,True,1.7462342366289323e-09,invscaling,epsilon_insensitive,elasticnet,0.21521743568582094,0.002431731981071206,feature_type
-235,one_hot_encoding,minority_coalescer,0.010000000000000004,most_frequent,standardize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.035440248140559884,1.142436233486746e-09,2235.498740920408,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-237,no_encoding,minority_coalescer,0.007741331259480108,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.020932011717701825,7.512295484675918e-08,427.92917011793116,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-240,one_hot_encoding,minority_coalescer,0.010000000000000004,mean,standardize,,,,,extra_trees_preproc_for_regression,True,friedman_mse,None,0.969236220539822,None,1,2,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.013068012551322245,2.979079708104577e-07,50599.0613366392,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-245,one_hot_encoding,minority_coalescer,0.052483220498897844,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.017488165983844263,4.199154538507709e-05,18825.14718012417,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-247,one_hot_encoding,minority_coalescer,0.014192135928954746,median,standardize,,,,,fast_ica,,,,,,,,,,deflation,exp,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1.4272136443763257,0.2694141260648879,2,0.10000000000000006,0.05757315877344016,poly,-1,False,0.0010000000000000002,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-251,no_encoding,no_coalescense,,median,standardize,,,,,extra_trees_preproc_for_regression,True,mae,None,0.7533134853493275,None,1,4,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,0.8025720428105109,0.2759754081799624,least_squares,255,None,18,172,11,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-252,one_hot_encoding,minority_coalescer,0.0001745391328519669,most_frequent,robust_scaler,,,0.8057830372269097,0.24982831110057324,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.3621762718897781,fwe,f_regression,ard_regression,,,,,2.7664515192592053e-05,9.504988116581138e-07,True,6.50650698230178e-09,4.238533890074848e-07,300,78251.58542976103,0.0007301343236220855,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-257,one_hot_encoding,minority_coalescer,0.0216783950539192,mean,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,0.00010889929093369623,0.013461560146088193,least_squares,255,None,922,78,19,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-258,no_encoding,minority_coalescer,0.06944124485705933,median,robust_scaler,,,0.9459191670017113,0.19705568051981365,feature_agglomeration,,,,,,,,,,,,,,euclidean,ward,25,median,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,ard_regression,,,,,1.3451538602739027e-05,9.646408445137836e-08,True,2.5198380744059647e-07,3.03274213695262e-10,300,1212.6400146193068,0.0014720713972345503,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-262,no_encoding,minority_coalescer,0.0017516626568532072,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.09414230179794553,1.3692618062770113e-09,15642.37580197983,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-266,no_encoding,minority_coalescer,0.0002660105205394136,median,none,,,,,fast_ica,,,,,,,,,,deflation,logcosh,977,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,liblinear_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.1637099972824213,False,0.5342957861386396,True,1,squared_epsilon_insensitive,0.00011557548242116838,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-268,no_encoding,minority_coalescer,0.019298178366706394,mean,minmax,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,decision_tree,,,,,,,,,,,,,mae,0.2781806943014362,1.0,None,0.0,17,7,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-270,one_hot_encoding,no_coalescense,,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.037731974209709904,5.002213042554931e-07,22409.945864393645,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-274,one_hot_encoding,minority_coalescer,0.0002682359625135144,mean,quantile_transformer,1567,uniform,,,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,85.70259306141033,f_regression,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,6.536723381440492e-05,0.03940103065495631,least_squares,255,None,77,9,7,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-276,one_hot_encoding,no_coalescense,,median,minmax,,,,,pca,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.991729015298316,True,,,,,,,,,,,,,,,,adaboost,0.019011223549222432,linear,9,395,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-279,no_encoding,minority_coalescer,0.4873131661139947,mean,standardize,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.43441750135120694,fpr,f_regression,k_nearest_neighbors,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,2,distance,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-282,one_hot_encoding,minority_coalescer,0.024334629729258105,most_frequent,standardize,,,,,extra_trees_preproc_for_regression,False,mae,None,0.9280962404032027,None,1,11,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.02341626598167312,1.0753192773067984e-09,30626.12455645968,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-285,no_encoding,no_coalescense,,mean,minmax,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.2186105871515939,fdr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,0.10377482408306521,0.016255400771699312,least_squares,255,None,65,70,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+idx,data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__,data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__,data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction,data_preprocessor:feature_type:numerical_transformer:imputation:strategy,data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__,data_preprocessor:feature_type:numerical_transformer:rescaling:quantile_transformer:n_quantiles,data_preprocessor:feature_type:numerical_transformer:rescaling:quantile_transformer:output_distribution,data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_max,data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_min,feature_preprocessor:__choice__,feature_preprocessor:extra_trees_preproc_for_regression:bootstrap,feature_preprocessor:extra_trees_preproc_for_regression:criterion,feature_preprocessor:extra_trees_preproc_for_regression:max_depth,feature_preprocessor:extra_trees_preproc_for_regression:max_features,feature_preprocessor:extra_trees_preproc_for_regression:max_leaf_nodes,feature_preprocessor:extra_trees_preproc_for_regression:min_samples_leaf,feature_preprocessor:extra_trees_preproc_for_regression:min_samples_split,feature_preprocessor:extra_trees_preproc_for_regression:min_weight_fraction_leaf,feature_preprocessor:extra_trees_preproc_for_regression:n_estimators,feature_preprocessor:fast_ica:algorithm,feature_preprocessor:fast_ica:fun,feature_preprocessor:fast_ica:n_components,feature_preprocessor:fast_ica:whiten,feature_preprocessor:feature_agglomeration:affinity,feature_preprocessor:feature_agglomeration:linkage,feature_preprocessor:feature_agglomeration:n_clusters,feature_preprocessor:feature_agglomeration:pooling_func,feature_preprocessor:kernel_pca:coef0,feature_preprocessor:kernel_pca:degree,feature_preprocessor:kernel_pca:gamma,feature_preprocessor:kernel_pca:kernel,feature_preprocessor:kernel_pca:n_components,feature_preprocessor:kitchen_sinks:gamma,feature_preprocessor:kitchen_sinks:n_components,feature_preprocessor:nystroem_sampler:coef0,feature_preprocessor:nystroem_sampler:degree,feature_preprocessor:nystroem_sampler:gamma,feature_preprocessor:nystroem_sampler:kernel,feature_preprocessor:nystroem_sampler:n_components,feature_preprocessor:pca:keep_variance,feature_preprocessor:pca:whiten,feature_preprocessor:polynomial:degree,feature_preprocessor:polynomial:include_bias,feature_preprocessor:polynomial:interaction_only,feature_preprocessor:random_trees_embedding:bootstrap,feature_preprocessor:random_trees_embedding:max_depth,feature_preprocessor:random_trees_embedding:max_leaf_nodes,feature_preprocessor:random_trees_embedding:min_samples_leaf,feature_preprocessor:random_trees_embedding:min_samples_split,feature_preprocessor:random_trees_embedding:min_weight_fraction_leaf,feature_preprocessor:random_trees_embedding:n_estimators,feature_preprocessor:select_percentile_regression:percentile,feature_preprocessor:select_percentile_regression:score_func,feature_preprocessor:select_rates_regression:alpha,feature_preprocessor:select_rates_regression:mode,feature_preprocessor:select_rates_regression:score_func,regressor:__choice__,regressor:adaboost:learning_rate,regressor:adaboost:loss,regressor:adaboost:max_depth,regressor:adaboost:n_estimators,regressor:ard_regression:alpha_1,regressor:ard_regression:alpha_2,regressor:ard_regression:fit_intercept,regressor:ard_regression:lambda_1,regressor:ard_regression:lambda_2,regressor:ard_regression:n_iter,regressor:ard_regression:threshold_lambda,regressor:ard_regression:tol,regressor:decision_tree:criterion,regressor:decision_tree:max_depth_factor,regressor:decision_tree:max_features,regressor:decision_tree:max_leaf_nodes,regressor:decision_tree:min_impurity_decrease,regressor:decision_tree:min_samples_leaf,regressor:decision_tree:min_samples_split,regressor:decision_tree:min_weight_fraction_leaf,regressor:extra_trees:bootstrap,regressor:extra_trees:criterion,regressor:extra_trees:max_depth,regressor:extra_trees:max_features,regressor:extra_trees:max_leaf_nodes,regressor:extra_trees:min_impurity_decrease,regressor:extra_trees:min_samples_leaf,regressor:extra_trees:min_samples_split,regressor:extra_trees:min_weight_fraction_leaf,regressor:gaussian_process:alpha,regressor:gaussian_process:thetaL,regressor:gaussian_process:thetaU,regressor:gradient_boosting:early_stop,regressor:gradient_boosting:l2_regularization,regressor:gradient_boosting:learning_rate,regressor:gradient_boosting:loss,regressor:gradient_boosting:max_bins,regressor:gradient_boosting:max_depth,regressor:gradient_boosting:max_leaf_nodes,regressor:gradient_boosting:min_samples_leaf,regressor:gradient_boosting:n_iter_no_change,regressor:gradient_boosting:scoring,regressor:gradient_boosting:tol,regressor:gradient_boosting:validation_fraction,regressor:k_nearest_neighbors:n_neighbors,regressor:k_nearest_neighbors:p,regressor:k_nearest_neighbors:weights,regressor:liblinear_svr:C,regressor:liblinear_svr:dual,regressor:liblinear_svr:epsilon,regressor:liblinear_svr:fit_intercept,regressor:liblinear_svr:intercept_scaling,regressor:liblinear_svr:loss,regressor:liblinear_svr:tol,regressor:libsvm_svr:C,regressor:libsvm_svr:coef0,regressor:libsvm_svr:degree,regressor:libsvm_svr:epsilon,regressor:libsvm_svr:gamma,regressor:libsvm_svr:kernel,regressor:libsvm_svr:max_iter,regressor:libsvm_svr:shrinking,regressor:libsvm_svr:tol,regressor:mlp:activation,regressor:mlp:alpha,regressor:mlp:batch_size,regressor:mlp:beta_1,regressor:mlp:beta_2,regressor:mlp:early_stopping,regressor:mlp:epsilon,regressor:mlp:hidden_layer_depth,regressor:mlp:learning_rate_init,regressor:mlp:n_iter_no_change,regressor:mlp:num_nodes_per_layer,regressor:mlp:shuffle,regressor:mlp:solver,regressor:mlp:tol,regressor:mlp:validation_fraction,regressor:random_forest:bootstrap,regressor:random_forest:criterion,regressor:random_forest:max_depth,regressor:random_forest:max_features,regressor:random_forest:max_leaf_nodes,regressor:random_forest:min_impurity_decrease,regressor:random_forest:min_samples_leaf,regressor:random_forest:min_samples_split,regressor:random_forest:min_weight_fraction_leaf,regressor:sgd:alpha,regressor:sgd:average,regressor:sgd:epsilon,regressor:sgd:eta0,regressor:sgd:fit_intercept,regressor:sgd:l1_ratio,regressor:sgd:learning_rate,regressor:sgd:loss,regressor:sgd:penalty,regressor:sgd:power_t,regressor:sgd:tol,data_preprocessor:__choice__
+2,no_encoding,no_coalescense,,most_frequent,standardize,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.1,fpr,f_regression,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.019645201003537352,1.1170068633409441e-07,130.632960269528,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+6,one_hot_encoding,minority_coalescer,0.000400759453878678,mean,minmax,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.09988990258830989,fpr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,3.0002886744200357e-06,0.015673535665067875,least_squares,255,None,7,23,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+7,one_hot_encoding,no_coalescense,,most_frequent,quantile_transformer,809,uniform,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,True,,,,,,,,,,,,,sgd,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.01806079811541296,False,,0.015540128437738566,True,0.9326390049807726,constant,squared_loss,elasticnet,,0.00010576654619459039,feature_type
+10,one_hot_encoding,minority_coalescer,0.00010349207190621693,mean,quantile_transformer,229,normal,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.055967923991199715,1.8694491708470566e-10,1.8954846844548174,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+13,one_hot_encoding,no_coalescense,,mean,standardize,,,,,extra_trees_preproc_for_regression,False,mse,None,0.7631509999921062,None,2,2,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,mlp,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,relu,6.037842605388564e-07,auto,0.9,0.999,valid,1e-08,3,0.0001120732057918536,32,100,True,adam,0.0001,0.1,,,,,,,,,,,,,,,,,,,,,feature_type
+17,one_hot_encoding,minority_coalescer,0.010250361463446604,mean,minmax,,,,,fast_ica,,,,,,,,,,parallel,exp,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,194.03096694114694,,,0.0010214279074797082,0.20113065159176252,rbf,-1,True,0.0206281932709369,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+19,one_hot_encoding,minority_coalescer,0.0013057623156653984,median,robust_scaler,,,0.7384386306109247,0.13619830011156256,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,47.935402876904554,f_regression,,,,sgd,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3.1920798638358104e-06,True,0.1,2.5662550861454332e-06,True,,invscaling,squared_epsilon_insensitive,l2,0.16443692558514034,7.823786229838958e-05,feature_type
+23,no_encoding,no_coalescense,,mean,quantile_transformer,626,uniform,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.1441108530403702,3.669712858764878e-08,63.38119089797623,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+26,no_encoding,no_coalescense,,mean,robust_scaler,,,0.7194207293244546,0.25,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,False,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,1e-10,0.04073473488071534,least_squares,255,None,22,4,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+28,no_encoding,minority_coalescer,0.00397868572473159,mean,robust_scaler,,,0.7840854273341944,0.11376189722146844,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,k_nearest_neighbors,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,20,2,distance,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+31,no_encoding,minority_coalescer,0.00014899709205673406,most_frequent,robust_scaler,,,0.8498515960462831,0.2493877412289307,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,53.074440365115905,mutual_info,,,,ard_regression,,,,,2.7664515192592053e-05,9.504988116581138e-07,True,4.184987756432487e-09,4.238533890074848e-07,300,78251.58542976103,0.0006951835906397672,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+34,one_hot_encoding,no_coalescense,,most_frequent,quantile_transformer,952,uniform,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,1.8428972335335263e-10,0.012607824914758717,least_squares,255,None,10,8,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+39,no_encoding,minority_coalescer,0.013069046428333956,mean,quantile_transformer,1389,normal,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,mse,None,0.7517792740390704,None,0.0,6,2,0.0,,,,,,,,,,,,feature_type
+40,no_encoding,minority_coalescer,0.032459358237118964,mean,quantile_transformer,245,normal,,,fast_ica,,,,,,,,,,parallel,exp,1538,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.010616529299999268,3.3168147703951036e-07,4.182958258383621,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+43,no_encoding,no_coalescense,,mean,standardize,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.034904198000955684,fdr,f_regression,liblinear_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,35.012615180923554,False,0.7326132441316412,True,1,squared_epsilon_insensitive,0.00012982617662684841,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+48,no_encoding,minority_coalescer,0.007285175031750927,most_frequent,standardize,,,,,kernel_pca,,,,,,,,,,,,,,,,,,,,0.3892888368591911,rbf,1205,,,,,,,,,,,,,,,,,,,,,,,,,liblinear_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,527.2805278622302,False,0.0023914129516101872,True,1,squared_epsilon_insensitive,3.308026672204565e-05,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+50,one_hot_encoding,minority_coalescer,0.01047631022335275,median,minmax,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,True,mse,None,0.5535883939348928,None,0.0,2,16,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+54,one_hot_encoding,minority_coalescer,0.06501698406855842,most_frequent,standardize,,,,,fast_ica,,,,,,,,,,parallel,cube,184,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.06138907077602462,2.1193402649051655e-10,10.458248457966066,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+57,one_hot_encoding,minority_coalescer,0.0010413452644415357,mean,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,False,mae,None,0.6277363920171745,None,0.0,6,15,0.0,,,,,,,,,,,,feature_type
+58,one_hot_encoding,no_coalescense,,median,standardize,,,,,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,22.538520410186127,f_regression,,,,liblinear_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.036388789196735646,False,0.0012739627397164333,True,1,squared_epsilon_insensitive,0.020180468804448126,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+63,no_encoding,no_coalescense,,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,True,mse,None,0.9615263480351033,None,0.0,1,2,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+66,no_encoding,minority_coalescer,0.00016754269505428354,median,quantile_transformer,170,uniform,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mse,None,0.6962692885049272,None,0.0,17,17,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+67,no_encoding,no_coalescense,,median,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,valid,0.0018018055158809108,0.05048450688348591,least_squares,255,None,3,1,19,loss,1e-07,0.19819612428903174,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+70,no_encoding,minority_coalescer,0.015521269213050653,mean,quantile_transformer,472,normal,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,False,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,mse,None,0.1509528252746419,None,0.0,17,2,0.0,,,,,,,,,,,,feature_type
+73,no_encoding,minority_coalescer,0.010000000000000004,mean,none,,,,,feature_agglomeration,,,,,,,,,,,,,,manhattan,average,26,max,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.051300886003085196,0.00012664987999260594,4.670733780898565,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+77,no_encoding,minority_coalescer,0.28144748021848814,mean,robust_scaler,,,0.8771493204875395,0.13693823573634356,fast_ica,,,,,,,,,,deflation,cube,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,friedman_mse,None,1.0,None,0.0,1,2,0.0,,,,,,,,,,,,feature_type
+79,no_encoding,minority_coalescer,0.042366198588653134,most_frequent,minmax,,,,,fast_ica,,,,,,,,,,deflation,logcosh,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,7277.320824640944,,,0.0013490872095510865,0.03233188643981015,rbf,-1,True,0.0034607903098849255,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+82,no_encoding,minority_coalescer,0.05607310321489163,mean,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,28831.968873651404,0.39386733846748023,3,0.12370783564202235,0.0026233747431769617,poly,-1,True,4.714268123196739e-05,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+86,one_hot_encoding,no_coalescense,,most_frequent,standardize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,ard_regression,,,,,0.0003701926442639788,2.2118001735899097e-07,True,1.2037591637980971e-06,4.358378124977852e-09,300,1136.5286041327277,0.021944240404849075,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+89,one_hot_encoding,minority_coalescer,0.0011912229897445134,mean,standardize,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,0.005746611563553693,0.0913971028976721,least_squares,255,None,9,2,20,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+92,no_encoding,no_coalescense,,most_frequent,standardize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,True,,,,,,,,,,,,,mlp,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,tanh,0.00023501461451248853,auto,0.9,0.999,train,1e-08,1,0.00014972142082858664,32,234,True,adam,0.0001,,,,,,,,,,,,,,,,,,,,,,feature_type
+95,one_hot_encoding,minority_coalescer,0.010000000000000004,median,robust_scaler,,,0.7912621507143142,0.2637968890661204,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,5.997418027353535e-10,0.12286466971783992,least_squares,255,None,26,8,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+98,no_encoding,no_coalescense,,mean,robust_scaler,,,0.7010465420634562,0.19032833128592427,feature_agglomeration,,,,,,,,,,,,,,euclidean,ward,31,max,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,friedman_mse,None,0.7612289466695656,None,0.0,1,2,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+101,one_hot_encoding,no_coalescense,,median,robust_scaler,,,0.7548820011150241,0.02964869664953053,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,valid,3.1008789875481045e-10,0.9742767231340886,least_squares,255,None,76,8,10,loss,1e-07,0.08508571055472691,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+102,no_encoding,minority_coalescer,0.00829519231049576,mean,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,ard_regression,,,,,4.7044575285722365e-05,0.000629863807127318,True,7.584067704707025e-10,3.923255608410879e-08,300,4052.403778957396,0.009359388994186051,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+105,one_hot_encoding,no_coalescense,,median,none,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.4686252124441843,fpr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,valid,0.0038606936054114,0.020266625124044115,least_squares,255,None,458,158,18,loss,1e-07,0.27775972890692574,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+107,no_encoding,no_coalescense,,mean,robust_scaler,,,0.7727512096172742,0.22461598115758682,feature_agglomeration,,,,,,,,,,,,,,manhattan,complete,21,max,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,2.208787572338781e-05,0.036087332404571744,least_squares,255,None,64,3,18,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+110,no_encoding,minority_coalescer,0.0006869013905922761,mean,quantile_transformer,1352,normal,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.07357548990881542,fpr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,3.20414911914726e-10,0.1279702444496931,least_squares,255,None,63,19,8,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+115,no_encoding,no_coalescense,,mean,normalize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,ard_regression,,,,,0.0007694645303288904,6.907464089785431e-06,True,5.725240603355948e-06,2.2747405613470773e-05,300,58747.57814168738,5.818442213575333e-05,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+117,no_encoding,no_coalescense,,most_frequent,none,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.2031136218970144,,,0.340528001967228,,linear,-1,False,4.070347915643521e-05,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+119,no_encoding,minority_coalescer,0.0024824409953506307,most_frequent,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,True,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,friedman_mse,None,0.8276036843429629,None,0.0,5,13,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+124,one_hot_encoding,no_coalescense,,median,quantile_transformer,1779,normal,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,4.957506578736309e-07,0.05200721900508807,least_squares,255,None,4,2,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+126,no_encoding,minority_coalescer,0.010222641912650656,median,quantile_transformer,1092,uniform,,,feature_agglomeration,,,,,,,,,,,,,,euclidean,ward,59,mean,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,adaboost,0.010571278032840276,linear,10,116,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+128,one_hot_encoding,no_coalescense,,most_frequent,quantile_transformer,1040,uniform,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,1.27381234568573e-07,0.02758260805263155,least_squares,255,None,57,5,1,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+132,one_hot_encoding,minority_coalescer,0.0001745391328519669,most_frequent,robust_scaler,,,0.8057830372269097,0.24982831110057324,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.3621762718897781,fwe,f_regression,ard_regression,,,,,2.7664515192592053e-05,9.504988116581138e-07,True,6.50650698230178e-09,4.238533890074848e-07,300,78251.58542976103,0.0007301343236220855,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+136,one_hot_encoding,minority_coalescer,0.008225465238838799,most_frequent,quantile_transformer,709,uniform,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2.1305589487469477e-06,0.0002524679984945707,57.09316986719562,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+138,no_encoding,minority_coalescer,0.018981164720696175,median,minmax,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.03175182874113965,0.00030344963288406407,64164.586360277535,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+140,no_encoding,no_coalescense,,median,minmax,,,,,feature_agglomeration,,,,,,,,,,,,,,euclidean,average,272,median,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mse,None,0.5120356089629183,None,0.0,1,4,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+144,one_hot_encoding,minority_coalescer,0.0033650478527174027,median,none,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,True,friedman_mse,None,0.7303174358688075,None,0.0,10,10,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+148,no_encoding,no_coalescense,,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,ard_regression,,,,,0.0005879259823371087,3.410007832100047e-07,True,1.6597956274062097e-05,9.910691609164284e-10,300,2203.910297381356,0.006471761365578467,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+150,no_encoding,no_coalescense,,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mse,None,0.9797793053686011,None,0.0,1,4,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+153,one_hot_encoding,minority_coalescer,0.00013899061331455512,mean,minmax,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.19203734614573903,fdr,f_regression,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.28764734226521,1.5934220315148466e-07,59443.23501615305,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+156,no_encoding,minority_coalescer,0.013018052591541176,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,friedman_mse,None,0.9734334465992716,None,0.0,2,9,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+158,one_hot_encoding,minority_coalescer,0.0001897686484596082,median,robust_scaler,,,0.7768342897092668,0.27222390764426924,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.00025503968621419157,1.161826998793312e-08,80.91415602800988,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+160,one_hot_encoding,no_coalescense,,mean,standardize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,False,,,,,,,,,,,,,ard_regression,,,,,0.0007518973788007592,2.1035374255689506e-10,True,1.9130145173139983e-06,6.539971988038889e-10,300,3146.7808694741443,0.0003708004149981124,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+163,no_encoding,no_coalescense,,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,True,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.283161627129086,7.245332579977274e-08,36.28453043772396,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+168,one_hot_encoding,minority_coalescer,0.001512533360913062,median,none,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.07521950921951931,fwe,f_regression,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,friedman_mse,None,0.7805550079834586,None,0.0,3,20,0.0,,,,,,,,,,,,feature_type
+171,one_hot_encoding,no_coalescense,,mean,quantile_transformer,268,uniform,,,feature_agglomeration,,,,,,,,,,,,,,euclidean,average,107,median,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.42928092501196696,1.4435895787652725e-07,8.108685026706572,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+174,one_hot_encoding,no_coalescense,,most_frequent,none,,,,,fast_ica,,,,,,,,,,deflation,exp,671,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,ard_regression,,,,,4.124442820298477e-05,1.161663644436331e-06,True,1.5236144126449076e-09,0.00046882633285888015,300,86828.75337540788,0.0010379122151177183,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+176,one_hot_encoding,minority_coalescer,0.019566163649872924,most_frequent,robust_scaler,,,0.7200608810425068,0.22968043330398744,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.18539282936320728,fwe,f_regression,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mae,None,0.9029989558220115,None,0.0,1,2,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+179,no_encoding,no_coalescense,,most_frequent,normalize,,,,,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,91.55750915031366,mutual_info,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,True,friedman_mse,None,0.24739007040418165,None,0.0,4,17,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+182,one_hot_encoding,no_coalescense,,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,valid,0.013442521728157596,0.15308825058123207,least_squares,255,None,26,6,20,loss,1e-07,0.08504769517258337,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+184,no_encoding,no_coalescense,,mean,normalize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,True,,,,,,,,,,,,,ard_regression,,,,,6.074038958967586e-05,4.934531533509717e-07,True,0.00034504048920015604,1.4861857758465898e-06,300,1995.6088649916076,0.0033943514455527686,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+186,no_encoding,minority_coalescer,0.010515112787842862,most_frequent,quantile_transformer,583,uniform,,,feature_agglomeration,,,,,,,,,,,,,,euclidean,average,5,mean,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.00015169626319121407,0.0006853872700383563,80227.86048666916,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+191,one_hot_encoding,minority_coalescer,0.039520728280417826,mean,minmax,,,,,kitchen_sinks,,,,,,,,,,,,,,,,,,,,,,,5.288249085278679,4176,,,,,,,,,,,,,,,,,,,,,,,liblinear_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,224.245634141281,False,0.009173958659191201,True,1,squared_epsilon_insensitive,1.9920161216131034e-05,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+193,no_encoding,no_coalescense,,mean,robust_scaler,,,0.7550402508982338,0.24842410508333093,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,True,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,6.238367840293606e-10,0.026111542610815466,least_squares,255,None,177,37,18,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+197,one_hot_encoding,minority_coalescer,0.009368863843266871,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.02846835702208294,1.2011941574832026e-06,67511.87095482116,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+199,no_encoding,minority_coalescer,0.44467269258042313,most_frequent,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,6.676910625638355e-09,0.052530803029130685,least_squares,255,None,31,20,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+201,one_hot_encoding,minority_coalescer,0.0022298554040543614,most_frequent,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,1.3053128884667706e-10,0.05594167483605857,least_squares,255,None,85,10,4,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+204,no_encoding,minority_coalescer,0.22734310669224594,most_frequent,robust_scaler,,,0.9761574925741068,0.2928944546265386,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.04882039966006706,fdr,f_regression,extra_trees,,,,,,,,,,,,,,,,,,,,,False,friedman_mse,None,0.9982746726091221,None,0.0,4,2,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+207,one_hot_encoding,minority_coalescer,0.010000000000000004,mean,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,True,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,6.085630700044881e-10,0.12392806728650493,least_squares,255,None,31,25,7,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+211,no_encoding,no_coalescense,,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,180.22479438529933,,,0.0012571604901280202,0.10272820821863678,rbf,-1,False,0.02945259690926852,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+214,one_hot_encoding,no_coalescense,,most_frequent,standardize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,True,,,,,,,,,,,,,sgd,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.00038839431353936653,False,,0.0007930509929393179,True,0.61724426807128,constant,squared_loss,elasticnet,,1.285973891441802e-05,feature_type
+217,one_hot_encoding,minority_coalescer,0.00013426375251483367,mean,quantile_transformer,1000,normal,,,extra_trees_preproc_for_regression,False,mae,None,0.9485456391530016,None,2,11,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,mae,None,1.0,None,0.0,1,5,0.0,,,,,,,,,,,,feature_type
+221,one_hot_encoding,minority_coalescer,0.009016977995123954,most_frequent,standardize,,,,,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,94.50207398648911,f_regression,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,False,mse,None,0.18485496201511814,None,0.0,18,18,0.0,,,,,,,,,,,,feature_type
+224,one_hot_encoding,no_coalescense,,median,quantile_transformer,1016,uniform,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.3992671482410072,fpr,f_regression,extra_trees,,,,,,,,,,,,,,,,,,,,,True,mse,None,0.2477939208870194,None,0.0,2,4,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+225,one_hot_encoding,minority_coalescer,0.010356286469647443,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,mlp,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,relu,6.108449182457731e-05,auto,0.9,0.999,valid,1e-08,3,0.00027704755935258253,32,101,True,adam,0.0001,0.1,,,,,,,,,,,,,,,,,,,,,feature_type
+228,no_encoding,minority_coalescer,0.0005112414168823774,median,standardize,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.4807408968132736,fdr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,5.775517309881741e-08,0.020024969424259676,least_squares,255,None,156,85,16,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+232,no_encoding,no_coalescense,,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,False,,,,,,,,,,,,,sgd,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.0006517033225329654,False,0.012150149892783745,0.016444224834275295,True,1.7462342366289323e-09,invscaling,epsilon_insensitive,elasticnet,0.21521743568582094,0.002431731981071206,feature_type
+235,one_hot_encoding,minority_coalescer,0.010000000000000004,most_frequent,standardize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.035440248140559884,1.142436233486746e-09,2235.498740920408,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+237,no_encoding,minority_coalescer,0.007741331259480108,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.020932011717701825,7.512295484675918e-08,427.92917011793116,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+240,one_hot_encoding,minority_coalescer,0.010000000000000004,mean,standardize,,,,,extra_trees_preproc_for_regression,True,friedman_mse,None,0.969236220539822,None,1,2,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.013068012551322245,2.979079708104577e-07,50599.0613366392,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+245,one_hot_encoding,minority_coalescer,0.052483220498897844,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.017488165983844263,4.199154538507709e-05,18825.14718012417,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+247,one_hot_encoding,minority_coalescer,0.014192135928954746,median,standardize,,,,,fast_ica,,,,,,,,,,deflation,exp,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1.4272136443763257,0.2694141260648879,2,0.10000000000000006,0.05757315877344016,poly,-1,False,0.0010000000000000002,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+251,no_encoding,no_coalescense,,median,standardize,,,,,extra_trees_preproc_for_regression,True,mae,None,0.7533134853493275,None,1,4,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,0.8025720428105109,0.2759754081799624,least_squares,255,None,18,172,11,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+252,one_hot_encoding,minority_coalescer,0.0001745391328519669,most_frequent,robust_scaler,,,0.8057830372269097,0.24982831110057324,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.3621762718897781,fwe,f_regression,ard_regression,,,,,2.7664515192592053e-05,9.504988116581138e-07,True,6.50650698230178e-09,4.238533890074848e-07,300,78251.58542976103,0.0007301343236220855,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+257,one_hot_encoding,minority_coalescer,0.0216783950539192,mean,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,0.00010889929093369623,0.013461560146088193,least_squares,255,None,922,78,19,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+258,no_encoding,minority_coalescer,0.06944124485705933,median,robust_scaler,,,0.9459191670017113,0.19705568051981365,feature_agglomeration,,,,,,,,,,,,,,euclidean,ward,25,median,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,ard_regression,,,,,1.3451538602739027e-05,9.646408445137836e-08,True,2.5198380744059647e-07,3.03274213695262e-10,300,1212.6400146193068,0.0014720713972345503,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+262,no_encoding,minority_coalescer,0.0017516626568532072,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.09414230179794553,1.3692618062770113e-09,15642.37580197983,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+266,no_encoding,minority_coalescer,0.0002660105205394136,median,none,,,,,fast_ica,,,,,,,,,,deflation,logcosh,977,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,liblinear_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.1637099972824213,False,0.5342957861386396,True,1,squared_epsilon_insensitive,0.00011557548242116838,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+268,no_encoding,minority_coalescer,0.019298178366706394,mean,minmax,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,decision_tree,,,,,,,,,,,,,mae,0.2781806943014362,1.0,None,0.0,17,7,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+270,one_hot_encoding,no_coalescense,,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.037731974209709904,5.002213042554931e-07,22409.945864393645,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+274,one_hot_encoding,minority_coalescer,0.0002682359625135144,mean,quantile_transformer,1567,uniform,,,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,85.70259306141033,f_regression,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,6.536723381440492e-05,0.03940103065495631,least_squares,255,None,77,9,7,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+276,one_hot_encoding,no_coalescense,,median,minmax,,,,,pca,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.991729015298316,True,,,,,,,,,,,,,,,,adaboost,0.019011223549222432,linear,9,395,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+279,no_encoding,minority_coalescer,0.4873131661139947,mean,standardize,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.43441750135120694,fpr,f_regression,k_nearest_neighbors,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,2,distance,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+282,one_hot_encoding,minority_coalescer,0.024334629729258105,most_frequent,standardize,,,,,extra_trees_preproc_for_regression,False,mae,None,0.9280962404032027,None,1,11,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.02341626598167312,1.0753192773067984e-09,30626.12455645968,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+285,no_encoding,no_coalescense,,mean,minmax,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.2186105871515939,fdr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,0.10377482408306521,0.016255400771699312,least_squares,255,None,65,70,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
diff --git a/autosklearn/metalearning/files/root_mean_squared_error_regression_dense/configurations.csv b/autosklearn/metalearning/files/root_mean_squared_error_regression_dense/configurations.csv
index 52fdb0ce9f..c1fbd54024 100644
--- a/autosklearn/metalearning/files/root_mean_squared_error_regression_dense/configurations.csv
+++ b/autosklearn/metalearning/files/root_mean_squared_error_regression_dense/configurations.csv
@@ -1,98 +1,98 @@
-idx,data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__,data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__,data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction,data_preprocessor:feature_type:numerical_transformer:imputation:strategy,data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__,data_preprocessor:feature_type:numerical_transformer:rescaling:quantile_transformer:n_quantiles,data_preprocessor:feature_type:numerical_transformer:rescaling:quantile_transformer:output_distribution,data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_max,data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_min,feature_preprocessor:__choice__,feature_preprocessor:extra_trees_preproc_for_regression:bootstrap,feature_preprocessor:extra_trees_preproc_for_regression:criterion,feature_preprocessor:extra_trees_preproc_for_regression:max_depth,feature_preprocessor:extra_trees_preproc_for_regression:max_features,feature_preprocessor:extra_trees_preproc_for_regression:max_leaf_nodes,feature_preprocessor:extra_trees_preproc_for_regression:min_samples_leaf,feature_preprocessor:extra_trees_preproc_for_regression:min_samples_split,feature_preprocessor:extra_trees_preproc_for_regression:min_weight_fraction_leaf,feature_preprocessor:extra_trees_preproc_for_regression:n_estimators,feature_preprocessor:fast_ica:algorithm,feature_preprocessor:fast_ica:fun,feature_preprocessor:fast_ica:n_components,feature_preprocessor:fast_ica:whiten,feature_preprocessor:feature_agglomeration:affinity,feature_preprocessor:feature_agglomeration:linkage,feature_preprocessor:feature_agglomeration:n_clusters,feature_preprocessor:feature_agglomeration:pooling_func,feature_preprocessor:kernel_pca:coef0,feature_preprocessor:kernel_pca:degree,feature_preprocessor:kernel_pca:gamma,feature_preprocessor:kernel_pca:kernel,feature_preprocessor:kernel_pca:n_components,feature_preprocessor:kitchen_sinks:gamma,feature_preprocessor:kitchen_sinks:n_components,feature_preprocessor:nystroem_sampler:coef0,feature_preprocessor:nystroem_sampler:degree,feature_preprocessor:nystroem_sampler:gamma,feature_preprocessor:nystroem_sampler:kernel,feature_preprocessor:nystroem_sampler:n_components,feature_preprocessor:pca:keep_variance,feature_preprocessor:pca:whiten,feature_preprocessor:polynomial:degree,feature_preprocessor:polynomial:include_bias,feature_preprocessor:polynomial:interaction_only,feature_preprocessor:random_trees_embedding:bootstrap,feature_preprocessor:random_trees_embedding:max_depth,feature_preprocessor:random_trees_embedding:max_leaf_nodes,feature_preprocessor:random_trees_embedding:min_samples_leaf,feature_preprocessor:random_trees_embedding:min_samples_split,feature_preprocessor:random_trees_embedding:min_weight_fraction_leaf,feature_preprocessor:random_trees_embedding:n_estimators,feature_preprocessor:select_percentile_regression:percentile,feature_preprocessor:select_percentile_regression:score_func,feature_preprocessor:select_rates_regression:alpha,feature_preprocessor:select_rates_regression:mode,feature_preprocessor:select_rates_regression:score_func,regressor:__choice__,regressor:adaboost:learning_rate,regressor:adaboost:loss,regressor:adaboost:max_depth,regressor:adaboost:n_estimators,regressor:ard_regression:alpha_1,regressor:ard_regression:alpha_2,regressor:ard_regression:fit_intercept,regressor:ard_regression:lambda_1,regressor:ard_regression:lambda_2,regressor:ard_regression:n_iter,regressor:ard_regression:threshold_lambda,regressor:ard_regression:tol,regressor:decision_tree:criterion,regressor:decision_tree:max_depth_factor,regressor:decision_tree:max_features,regressor:decision_tree:max_leaf_nodes,regressor:decision_tree:min_impurity_decrease,regressor:decision_tree:min_samples_leaf,regressor:decision_tree:min_samples_split,regressor:decision_tree:min_weight_fraction_leaf,regressor:extra_trees:bootstrap,regressor:extra_trees:criterion,regressor:extra_trees:max_depth,regressor:extra_trees:max_features,regressor:extra_trees:max_leaf_nodes,regressor:extra_trees:min_impurity_decrease,regressor:extra_trees:min_samples_leaf,regressor:extra_trees:min_samples_split,regressor:extra_trees:min_weight_fraction_leaf,regressor:gaussian_process:alpha,regressor:gaussian_process:thetaL,regressor:gaussian_process:thetaU,regressor:gradient_boosting:early_stop,regressor:gradient_boosting:l2_regularization,regressor:gradient_boosting:learning_rate,regressor:gradient_boosting:loss,regressor:gradient_boosting:max_bins,regressor:gradient_boosting:max_depth,regressor:gradient_boosting:max_leaf_nodes,regressor:gradient_boosting:min_samples_leaf,regressor:gradient_boosting:n_iter_no_change,regressor:gradient_boosting:scoring,regressor:gradient_boosting:tol,regressor:gradient_boosting:validation_fraction,regressor:k_nearest_neighbors:n_neighbors,regressor:k_nearest_neighbors:p,regressor:k_nearest_neighbors:weights,regressor:liblinear_svr:C,regressor:liblinear_svr:dual,regressor:liblinear_svr:epsilon,regressor:liblinear_svr:fit_intercept,regressor:liblinear_svr:intercept_scaling,regressor:liblinear_svr:loss,regressor:liblinear_svr:tol,regressor:libsvm_svr:C,regressor:libsvm_svr:coef0,regressor:libsvm_svr:degree,regressor:libsvm_svr:epsilon,regressor:libsvm_svr:gamma,regressor:libsvm_svr:kernel,regressor:libsvm_svr:max_iter,regressor:libsvm_svr:shrinking,regressor:libsvm_svr:tol,regressor:mlp:activation,regressor:mlp:alpha,regressor:mlp:batch_size,regressor:mlp:beta_1,regressor:mlp:beta_2,regressor:mlp:early_stopping,regressor:mlp:epsilon,regressor:mlp:hidden_layer_depth,regressor:mlp:learning_rate_init,regressor:mlp:n_iter_no_change,regressor:mlp:num_nodes_per_layer,regressor:mlp:shuffle,regressor:mlp:solver,regressor:mlp:tol,regressor:mlp:validation_fraction,regressor:random_forest:bootstrap,regressor:random_forest:criterion,regressor:random_forest:max_depth,regressor:random_forest:max_features,regressor:random_forest:max_leaf_nodes,regressor:random_forest:min_impurity_decrease,regressor:random_forest:min_samples_leaf,regressor:random_forest:min_samples_split,regressor:random_forest:min_weight_fraction_leaf,regressor:sgd:alpha,regressor:sgd:average,regressor:sgd:epsilon,regressor:sgd:eta0,regressor:sgd:fit_intercept,regressor:sgd:l1_ratio,regressor:sgd:learning_rate,regressor:sgd:loss,regressor:sgd:penalty,regressor:sgd:power_t,regressor:sgd:tol,data_preprocessor:__choice__
-2,no_encoding,no_coalescense,,most_frequent,standardize,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.1,fpr,f_regression,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.019645201003537352,1.1170068633409441e-07,130.632960269528,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-6,one_hot_encoding,minority_coalescer,0.000400759453878678,mean,minmax,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.09988990258830989,fpr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,3.0002886744200357e-06,0.015673535665067875,least_squares,255,None,7,23,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-7,one_hot_encoding,no_coalescense,,most_frequent,quantile_transformer,809,uniform,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,True,,,,,,,,,,,,,sgd,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.01806079811541296,False,,0.015540128437738566,True,0.9326390049807726,constant,squared_loss,elasticnet,,0.00010576654619459039,feature_type
-10,one_hot_encoding,minority_coalescer,0.00010349207190621693,mean,quantile_transformer,229,normal,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.055967923991199715,1.8694491708470566e-10,1.8954846844548174,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-13,one_hot_encoding,no_coalescense,,mean,standardize,,,,,extra_trees_preproc_for_regression,False,mse,None,0.7631509999921062,None,2,2,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,mlp,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,relu,6.037842605388564e-07,auto,0.9,0.999,valid,1e-08,3,0.0001120732057918536,32,100,True,adam,0.0001,0.1,,,,,,,,,,,,,,,,,,,,,feature_type
-17,one_hot_encoding,minority_coalescer,0.010250361463446604,mean,minmax,,,,,fast_ica,,,,,,,,,,parallel,exp,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,194.03096694114694,,3,0.0010214279074797082,0.20113065159176252,rbf,-1,True,0.0206281932709369,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-19,one_hot_encoding,minority_coalescer,0.0013057623156653984,median,robust_scaler,,,0.7384386306109247,0.13619830011156256,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,47.935402876904554,f_regression,,,,sgd,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3.1920798638358104e-06,True,0.1,2.5662550861454332e-06,True,,invscaling,squared_epsilon_insensitive,l2,0.16443692558514034,7.823786229838958e-05,feature_type
-23,no_encoding,no_coalescense,,mean,quantile_transformer,626,uniform,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.1441108530403702,3.669712858764878e-08,63.38119089797623,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-26,no_encoding,no_coalescense,,mean,robust_scaler,,,0.7194207293244546,0.25,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,False,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,1e-10,0.04073473488071534,least_squares,255,None,22,4,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-28,no_encoding,minority_coalescer,0.00397868572473159,mean,robust_scaler,,,0.7840854273341944,0.11376189722146844,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,k_nearest_neighbors,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,20,2,distance,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-31,no_encoding,minority_coalescer,0.00014899709205673406,most_frequent,robust_scaler,,,0.8498515960462831,0.2493877412289307,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,53.074440365115905,mutual_info,,,,ard_regression,,,,,2.7664515192592053e-05,9.504988116581138e-07,True,4.184987756432487e-09,4.238533890074848e-07,300,78251.58542976103,0.0006951835906397672,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-34,one_hot_encoding,no_coalescense,,most_frequent,quantile_transformer,952,uniform,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,1.8428972335335263e-10,0.012607824914758717,least_squares,255,None,10,8,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-39,no_encoding,minority_coalescer,0.013069046428333956,mean,quantile_transformer,1389,normal,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,mse,None,0.7517792740390704,None,0.0,6,2,0.0,,,,,,,,,,,,feature_type
-40,no_encoding,minority_coalescer,0.032459358237118964,mean,quantile_transformer,245,normal,,,fast_ica,,,,,,,,,,parallel,exp,1538,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.010616529299999268,3.3168147703951036e-07,4.182958258383621,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-43,no_encoding,no_coalescense,,mean,standardize,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.034904198000955684,fdr,f_regression,liblinear_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,35.012615180923554,False,0.7326132441316412,True,1,squared_epsilon_insensitive,0.00012982617662684841,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-48,no_encoding,minority_coalescer,0.007285175031750927,most_frequent,standardize,,,,,kernel_pca,,,,,,,,,,,,,,,,,,,,0.3892888368591911,rbf,1205,,,,,,,,,,,,,,,,,,,,,,,,,liblinear_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,527.2805278622302,False,0.0023914129516101872,True,1,squared_epsilon_insensitive,3.308026672204565e-05,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-50,one_hot_encoding,minority_coalescer,0.01047631022335275,median,minmax,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,True,mse,None,0.5535883939348928,None,0.0,2,16,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-54,one_hot_encoding,minority_coalescer,0.06501698406855842,most_frequent,standardize,,,,,fast_ica,,,,,,,,,,parallel,cube,184,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.06138907077602462,2.1193402649051655e-10,10.458248457966066,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-57,one_hot_encoding,minority_coalescer,0.0010413452644415357,mean,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,False,mae,None,0.6277363920171745,None,0.0,6,15,0.0,,,,,,,,,,,,feature_type
-58,one_hot_encoding,no_coalescense,,median,standardize,,,,,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,22.538520410186127,f_regression,,,,liblinear_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.036388789196735646,False,0.0012739627397164333,True,1,squared_epsilon_insensitive,0.020180468804448126,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-63,no_encoding,no_coalescense,,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,True,mse,None,0.9615263480351033,None,0.0,1,2,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-66,no_encoding,minority_coalescer,0.00016754269505428354,median,quantile_transformer,170,uniform,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mse,None,0.6962692885049272,None,0.0,17,17,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-67,no_encoding,no_coalescense,,median,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,valid,0.0018018055158809108,0.05048450688348591,least_squares,255,None,3,1,19,loss,1e-07,0.19819612428903174,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-70,no_encoding,minority_coalescer,0.015521269213050653,mean,quantile_transformer,472,normal,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,False,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,mse,None,0.1509528252746419,None,0.0,17,2,0.0,,,,,,,,,,,,feature_type
-73,no_encoding,minority_coalescer,0.010000000000000004,mean,none,,,,,feature_agglomeration,,,,,,,,,,,,,,manhattan,average,26,max,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.051300886003085196,0.00012664987999260594,4.670733780898565,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-77,no_encoding,minority_coalescer,0.28144748021848814,mean,robust_scaler,,,0.8771493204875395,0.13693823573634356,fast_ica,,,,,,,,,,deflation,cube,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,friedman_mse,None,1.0,None,0.0,1,2,0.0,,,,,,,,,,,,feature_type
-79,no_encoding,minority_coalescer,0.042366198588653134,most_frequent,minmax,,,,,fast_ica,,,,,,,,,,deflation,logcosh,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,7277.320824640944,,2,0.0013490872095510865,0.03233188643981015,rbf,-1,True,0.0034607903098849255,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-82,no_encoding,minority_coalescer,0.05607310321489163,mean,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,28831.968873651404,0.39386733846748023,3,0.12370783564202235,0.0026233747431769617,poly,-1,True,4.714268123196739e-05,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-86,one_hot_encoding,no_coalescense,,most_frequent,standardize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,ard_regression,,,,,0.0003701926442639788,2.2118001735899097e-07,True,1.2037591637980971e-06,4.358378124977852e-09,300,1136.5286041327277,0.021944240404849075,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-89,one_hot_encoding,minority_coalescer,0.0011912229897445134,mean,standardize,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,0.005746611563553693,0.0913971028976721,least_squares,255,None,9,2,20,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-92,no_encoding,no_coalescense,,most_frequent,standardize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,True,,,,,,,,,,,,,mlp,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,tanh,0.00023501461451248853,auto,0.9,0.999,train,1e-08,1,0.00014972142082858664,32,234,True,adam,0.0001,,,,,,,,,,,,,,,,,,,,,,feature_type
-95,one_hot_encoding,minority_coalescer,0.010000000000000004,median,robust_scaler,,,0.7912621507143142,0.2637968890661204,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,5.997418027353535e-10,0.12286466971783992,least_squares,255,None,26,8,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-98,no_encoding,no_coalescense,,mean,robust_scaler,,,0.7010465420634562,0.19032833128592427,feature_agglomeration,,,,,,,,,,,,,,euclidean,ward,31,max,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,friedman_mse,None,0.7612289466695656,None,0.0,1,2,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-101,one_hot_encoding,no_coalescense,,median,robust_scaler,,,0.7548820011150241,0.02964869664953053,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,valid,3.1008789875481045e-10,0.9742767231340886,least_squares,255,None,76,8,10,loss,1e-07,0.08508571055472691,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-102,no_encoding,minority_coalescer,0.00829519231049576,mean,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,ard_regression,,,,,4.7044575285722365e-05,0.000629863807127318,True,7.584067704707025e-10,3.923255608410879e-08,300,4052.403778957396,0.009359388994186051,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-105,one_hot_encoding,no_coalescense,,median,none,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.4686252124441843,fpr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,valid,0.0038606936054114,0.020266625124044115,least_squares,255,None,458,158,18,loss,1e-07,0.27775972890692574,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-107,no_encoding,no_coalescense,,mean,robust_scaler,,,0.7727512096172742,0.22461598115758682,feature_agglomeration,,,,,,,,,,,,,,manhattan,complete,21,max,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,2.208787572338781e-05,0.036087332404571744,least_squares,255,None,64,3,18,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-110,no_encoding,minority_coalescer,0.0006869013905922761,mean,quantile_transformer,1352,normal,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.07357548990881542,fpr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,3.20414911914726e-10,0.1279702444496931,least_squares,255,None,63,19,8,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-115,no_encoding,no_coalescense,,mean,normalize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,ard_regression,,,,,0.0007694645303288904,6.907464089785431e-06,True,5.725240603355948e-06,2.2747405613470773e-05,300,58747.57814168738,5.818442213575333e-05,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-117,no_encoding,no_coalescense,,most_frequent,none,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.2031136218970144,,,0.340528001967228,,linear,-1,False,4.070347915643521e-05,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-119,no_encoding,minority_coalescer,0.0024824409953506307,most_frequent,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,True,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,friedman_mse,None,0.8276036843429629,None,0.0,5,13,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-124,one_hot_encoding,no_coalescense,,median,quantile_transformer,1779,normal,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,4.957506578736309e-07,0.05200721900508807,least_squares,255,None,4,2,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-126,no_encoding,minority_coalescer,0.010222641912650656,median,quantile_transformer,1092,uniform,,,feature_agglomeration,,,,,,,,,,,,,,euclidean,ward,59,mean,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,adaboost,0.010571278032840276,linear,10,116,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-128,one_hot_encoding,no_coalescense,,most_frequent,quantile_transformer,1040,uniform,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,1.27381234568573e-07,0.02758260805263155,least_squares,255,None,57,5,1,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-132,one_hot_encoding,minority_coalescer,0.0001745391328519669,most_frequent,robust_scaler,,,0.8057830372269097,0.24982831110057324,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.3621762718897781,fwe,f_regression,ard_regression,,,,,2.7664515192592053e-05,9.504988116581138e-07,True,6.50650698230178e-09,4.238533890074848e-07,300,78251.58542976103,0.0007301343236220855,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-136,one_hot_encoding,minority_coalescer,0.008225465238838799,most_frequent,quantile_transformer,709,uniform,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2.1305589487469477e-06,0.0002524679984945707,57.09316986719562,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-138,no_encoding,minority_coalescer,0.018981164720696175,median,minmax,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.03175182874113965,0.00030344963288406407,64164.586360277535,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-140,no_encoding,no_coalescense,,median,minmax,,,,,feature_agglomeration,,,,,,,,,,,,,,euclidean,average,272,median,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mse,None,0.5120356089629183,None,0.0,1,4,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-144,one_hot_encoding,minority_coalescer,0.0033650478527174027,median,none,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,True,friedman_mse,None,0.7303174358688075,None,0.0,10,10,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-148,no_encoding,no_coalescense,,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,ard_regression,,,,,0.0005879259823371087,3.410007832100047e-07,True,1.6597956274062097e-05,9.910691609164284e-10,300,2203.910297381356,0.006471761365578467,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-150,no_encoding,no_coalescense,,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mse,None,0.9797793053686011,None,0.0,1,4,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-153,one_hot_encoding,minority_coalescer,0.00013899061331455512,mean,minmax,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.19203734614573903,fdr,f_regression,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.28764734226521,1.5934220315148466e-07,59443.23501615305,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-156,no_encoding,minority_coalescer,0.013018052591541176,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,friedman_mse,None,0.9734334465992716,None,0.0,2,9,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-158,one_hot_encoding,minority_coalescer,0.0001897686484596082,median,robust_scaler,,,0.7768342897092668,0.27222390764426924,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.00025503968621419157,1.161826998793312e-08,80.91415602800988,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-160,one_hot_encoding,no_coalescense,,mean,standardize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,False,,,,,,,,,,,,,ard_regression,,,,,0.0007518973788007592,2.1035374255689506e-10,True,1.9130145173139983e-06,6.539971988038889e-10,300,3146.7808694741443,0.0003708004149981124,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-163,no_encoding,no_coalescense,,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,True,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.283161627129086,7.245332579977274e-08,36.28453043772396,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-168,one_hot_encoding,minority_coalescer,0.001512533360913062,median,none,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.07521950921951931,fwe,f_regression,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,friedman_mse,None,0.7805550079834586,None,0.0,3,20,0.0,,,,,,,,,,,,feature_type
-171,one_hot_encoding,no_coalescense,,mean,quantile_transformer,268,uniform,,,feature_agglomeration,,,,,,,,,,,,,,euclidean,average,107,median,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.42928092501196696,1.4435895787652725e-07,8.108685026706572,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-174,one_hot_encoding,no_coalescense,,most_frequent,none,,,,,fast_ica,,,,,,,,,,deflation,exp,671,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,ard_regression,,,,,4.124442820298477e-05,1.161663644436331e-06,True,1.5236144126449076e-09,0.00046882633285888015,300,86828.75337540788,0.0010379122151177183,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-176,one_hot_encoding,minority_coalescer,0.019566163649872924,most_frequent,robust_scaler,,,0.7200608810425068,0.22968043330398744,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.18539282936320728,fwe,f_regression,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mae,None,0.9029989558220115,None,0.0,1,2,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-179,no_encoding,no_coalescense,,most_frequent,normalize,,,,,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,91.55750915031366,mutual_info,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,True,friedman_mse,None,0.24739007040418165,None,0.0,4,17,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-182,one_hot_encoding,no_coalescense,,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,valid,0.013442521728157596,0.15308825058123207,least_squares,255,None,26,6,20,loss,1e-07,0.08504769517258337,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-184,no_encoding,no_coalescense,,mean,normalize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,True,,,,,,,,,,,,,ard_regression,,,,,6.074038958967586e-05,4.934531533509717e-07,True,0.00034504048920015604,1.4861857758465898e-06,300,1995.6088649916076,0.0033943514455527686,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-186,no_encoding,minority_coalescer,0.010515112787842862,most_frequent,quantile_transformer,583,uniform,,,feature_agglomeration,,,,,,,,,,,,,,euclidean,average,5,mean,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.00015169626319121407,0.0006853872700383563,80227.86048666916,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-191,one_hot_encoding,minority_coalescer,0.039520728280417826,mean,minmax,,,,,kitchen_sinks,,,,,,,,,,,,,,,,,,,,,,,5.288249085278679,4176,,,,,,,,,,,,,,,,,,,,,,,liblinear_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,224.245634141281,False,0.009173958659191201,True,1,squared_epsilon_insensitive,1.9920161216131034e-05,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-193,no_encoding,no_coalescense,,mean,robust_scaler,,,0.7550402508982338,0.24842410508333093,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,True,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,6.238367840293606e-10,0.026111542610815466,least_squares,255,None,177,37,18,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-197,one_hot_encoding,minority_coalescer,0.009368863843266871,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.02846835702208294,1.2011941574832026e-06,67511.87095482116,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-199,no_encoding,minority_coalescer,0.44467269258042313,most_frequent,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,6.676910625638355e-09,0.052530803029130685,least_squares,255,None,31,20,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-201,one_hot_encoding,minority_coalescer,0.0022298554040543614,most_frequent,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,1.3053128884667706e-10,0.05594167483605857,least_squares,255,None,85,10,4,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-204,no_encoding,minority_coalescer,0.22734310669224594,most_frequent,robust_scaler,,,0.9761574925741068,0.2928944546265386,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.04882039966006706,fdr,f_regression,extra_trees,,,,,,,,,,,,,,,,,,,,,False,friedman_mse,None,0.9982746726091221,None,0.0,4,2,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-207,one_hot_encoding,minority_coalescer,0.010000000000000004,mean,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,True,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,6.085630700044881e-10,0.12392806728650493,least_squares,255,None,31,25,7,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-211,no_encoding,no_coalescense,,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,180.22479438529933,,4,0.0012571604901280202,0.10272820821863678,rbf,-1,False,0.02945259690926852,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-214,one_hot_encoding,no_coalescense,,most_frequent,standardize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,True,,,,,,,,,,,,,sgd,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.00038839431353936653,False,,0.0007930509929393179,True,0.61724426807128,constant,squared_loss,elasticnet,,1.285973891441802e-05,feature_type
-217,one_hot_encoding,minority_coalescer,0.00013426375251483367,mean,quantile_transformer,1000,normal,,,extra_trees_preproc_for_regression,False,mae,None,0.9485456391530016,None,2,11,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,mae,None,1.0,None,0.0,1,5,0.0,,,,,,,,,,,,feature_type
-221,one_hot_encoding,minority_coalescer,0.009016977995123954,most_frequent,standardize,,,,,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,94.50207398648911,f_regression,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,False,mse,None,0.18485496201511814,None,0.0,18,18,0.0,,,,,,,,,,,,feature_type
-224,one_hot_encoding,no_coalescense,,median,quantile_transformer,1016,uniform,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.3992671482410072,fpr,f_regression,extra_trees,,,,,,,,,,,,,,,,,,,,,True,mse,None,0.2477939208870194,None,0.0,2,4,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-225,one_hot_encoding,minority_coalescer,0.010356286469647443,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,mlp,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,relu,6.108449182457731e-05,auto,0.9,0.999,valid,1e-08,3,0.00027704755935258253,32,101,True,adam,0.0001,0.1,,,,,,,,,,,,,,,,,,,,,feature_type
-228,no_encoding,minority_coalescer,0.0005112414168823774,median,standardize,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.4807408968132736,fdr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,5.775517309881741e-08,0.020024969424259676,least_squares,255,None,156,85,16,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-232,no_encoding,no_coalescense,,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,False,,,,,,,,,,,,,sgd,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.0006517033225329654,False,0.012150149892783745,0.016444224834275295,True,1.7462342366289323e-09,invscaling,epsilon_insensitive,elasticnet,0.21521743568582094,0.002431731981071206,feature_type
-235,one_hot_encoding,minority_coalescer,0.010000000000000004,most_frequent,standardize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.035440248140559884,1.142436233486746e-09,2235.498740920408,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-237,no_encoding,minority_coalescer,0.007741331259480108,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.020932011717701825,7.512295484675918e-08,427.92917011793116,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-240,one_hot_encoding,minority_coalescer,0.010000000000000004,mean,standardize,,,,,extra_trees_preproc_for_regression,True,friedman_mse,None,0.969236220539822,None,1,2,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.013068012551322245,2.979079708104577e-07,50599.0613366392,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-245,one_hot_encoding,minority_coalescer,0.052483220498897844,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.017488165983844263,4.199154538507709e-05,18825.14718012417,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-247,one_hot_encoding,minority_coalescer,0.014192135928954746,median,standardize,,,,,fast_ica,,,,,,,,,,deflation,exp,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1.4272136443763257,0.2694141260648879,2,0.10000000000000006,0.05757315877344016,poly,-1,False,0.0010000000000000002,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-251,no_encoding,no_coalescense,,median,standardize,,,,,extra_trees_preproc_for_regression,True,mae,None,0.7533134853493275,None,1,4,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,0.8025720428105109,0.2759754081799624,least_squares,255,None,18,172,11,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-252,one_hot_encoding,minority_coalescer,0.0001745391328519669,most_frequent,robust_scaler,,,0.8057830372269097,0.24982831110057324,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.3621762718897781,fwe,f_regression,ard_regression,,,,,2.7664515192592053e-05,9.504988116581138e-07,True,6.50650698230178e-09,4.238533890074848e-07,300,78251.58542976103,0.0007301343236220855,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-257,one_hot_encoding,minority_coalescer,0.0216783950539192,mean,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,0.00010889929093369623,0.013461560146088193,least_squares,255,None,922,78,19,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-258,no_encoding,minority_coalescer,0.06944124485705933,median,robust_scaler,,,0.9459191670017113,0.19705568051981365,feature_agglomeration,,,,,,,,,,,,,,euclidean,ward,25,median,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,ard_regression,,,,,1.3451538602739027e-05,9.646408445137836e-08,True,2.5198380744059647e-07,3.03274213695262e-10,300,1212.6400146193068,0.0014720713972345503,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-262,no_encoding,minority_coalescer,0.0017516626568532072,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.09414230179794553,1.3692618062770113e-09,15642.37580197983,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-266,no_encoding,minority_coalescer,0.0002660105205394136,median,none,,,,,fast_ica,,,,,,,,,,deflation,logcosh,977,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,liblinear_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.1637099972824213,False,0.5342957861386396,True,1,squared_epsilon_insensitive,0.00011557548242116838,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-268,no_encoding,minority_coalescer,0.019298178366706394,mean,minmax,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,decision_tree,,,,,,,,,,,,,mae,0.2781806943014362,1.0,None,0.0,17,7,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-270,one_hot_encoding,no_coalescense,,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.037731974209709904,5.002213042554931e-07,22409.945864393645,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-274,one_hot_encoding,minority_coalescer,0.0002682359625135144,mean,quantile_transformer,1567,uniform,,,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,85.70259306141033,f_regression,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,6.536723381440492e-05,0.03940103065495631,least_squares,255,None,77,9,7,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-276,one_hot_encoding,no_coalescense,,median,minmax,,,,,pca,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.991729015298316,True,,,,,,,,,,,,,,,,adaboost,0.019011223549222432,linear,9,395,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-279,no_encoding,minority_coalescer,0.4873131661139947,mean,standardize,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.43441750135120694,fpr,f_regression,k_nearest_neighbors,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,2,distance,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-282,one_hot_encoding,minority_coalescer,0.024334629729258105,most_frequent,standardize,,,,,extra_trees_preproc_for_regression,False,mae,None,0.9280962404032027,None,1,11,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.02341626598167312,1.0753192773067984e-09,30626.12455645968,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-285,no_encoding,no_coalescense,,mean,minmax,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.2186105871515939,fdr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,0.10377482408306521,0.016255400771699312,least_squares,255,None,65,70,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+idx,data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__,data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__,data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction,data_preprocessor:feature_type:numerical_transformer:imputation:strategy,data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__,data_preprocessor:feature_type:numerical_transformer:rescaling:quantile_transformer:n_quantiles,data_preprocessor:feature_type:numerical_transformer:rescaling:quantile_transformer:output_distribution,data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_max,data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_min,feature_preprocessor:__choice__,feature_preprocessor:extra_trees_preproc_for_regression:bootstrap,feature_preprocessor:extra_trees_preproc_for_regression:criterion,feature_preprocessor:extra_trees_preproc_for_regression:max_depth,feature_preprocessor:extra_trees_preproc_for_regression:max_features,feature_preprocessor:extra_trees_preproc_for_regression:max_leaf_nodes,feature_preprocessor:extra_trees_preproc_for_regression:min_samples_leaf,feature_preprocessor:extra_trees_preproc_for_regression:min_samples_split,feature_preprocessor:extra_trees_preproc_for_regression:min_weight_fraction_leaf,feature_preprocessor:extra_trees_preproc_for_regression:n_estimators,feature_preprocessor:fast_ica:algorithm,feature_preprocessor:fast_ica:fun,feature_preprocessor:fast_ica:n_components,feature_preprocessor:fast_ica:whiten,feature_preprocessor:feature_agglomeration:affinity,feature_preprocessor:feature_agglomeration:linkage,feature_preprocessor:feature_agglomeration:n_clusters,feature_preprocessor:feature_agglomeration:pooling_func,feature_preprocessor:kernel_pca:coef0,feature_preprocessor:kernel_pca:degree,feature_preprocessor:kernel_pca:gamma,feature_preprocessor:kernel_pca:kernel,feature_preprocessor:kernel_pca:n_components,feature_preprocessor:kitchen_sinks:gamma,feature_preprocessor:kitchen_sinks:n_components,feature_preprocessor:nystroem_sampler:coef0,feature_preprocessor:nystroem_sampler:degree,feature_preprocessor:nystroem_sampler:gamma,feature_preprocessor:nystroem_sampler:kernel,feature_preprocessor:nystroem_sampler:n_components,feature_preprocessor:pca:keep_variance,feature_preprocessor:pca:whiten,feature_preprocessor:polynomial:degree,feature_preprocessor:polynomial:include_bias,feature_preprocessor:polynomial:interaction_only,feature_preprocessor:random_trees_embedding:bootstrap,feature_preprocessor:random_trees_embedding:max_depth,feature_preprocessor:random_trees_embedding:max_leaf_nodes,feature_preprocessor:random_trees_embedding:min_samples_leaf,feature_preprocessor:random_trees_embedding:min_samples_split,feature_preprocessor:random_trees_embedding:min_weight_fraction_leaf,feature_preprocessor:random_trees_embedding:n_estimators,feature_preprocessor:select_percentile_regression:percentile,feature_preprocessor:select_percentile_regression:score_func,feature_preprocessor:select_rates_regression:alpha,feature_preprocessor:select_rates_regression:mode,feature_preprocessor:select_rates_regression:score_func,regressor:__choice__,regressor:adaboost:learning_rate,regressor:adaboost:loss,regressor:adaboost:max_depth,regressor:adaboost:n_estimators,regressor:ard_regression:alpha_1,regressor:ard_regression:alpha_2,regressor:ard_regression:fit_intercept,regressor:ard_regression:lambda_1,regressor:ard_regression:lambda_2,regressor:ard_regression:n_iter,regressor:ard_regression:threshold_lambda,regressor:ard_regression:tol,regressor:decision_tree:criterion,regressor:decision_tree:max_depth_factor,regressor:decision_tree:max_features,regressor:decision_tree:max_leaf_nodes,regressor:decision_tree:min_impurity_decrease,regressor:decision_tree:min_samples_leaf,regressor:decision_tree:min_samples_split,regressor:decision_tree:min_weight_fraction_leaf,regressor:extra_trees:bootstrap,regressor:extra_trees:criterion,regressor:extra_trees:max_depth,regressor:extra_trees:max_features,regressor:extra_trees:max_leaf_nodes,regressor:extra_trees:min_impurity_decrease,regressor:extra_trees:min_samples_leaf,regressor:extra_trees:min_samples_split,regressor:extra_trees:min_weight_fraction_leaf,regressor:gaussian_process:alpha,regressor:gaussian_process:thetaL,regressor:gaussian_process:thetaU,regressor:gradient_boosting:early_stop,regressor:gradient_boosting:l2_regularization,regressor:gradient_boosting:learning_rate,regressor:gradient_boosting:loss,regressor:gradient_boosting:max_bins,regressor:gradient_boosting:max_depth,regressor:gradient_boosting:max_leaf_nodes,regressor:gradient_boosting:min_samples_leaf,regressor:gradient_boosting:n_iter_no_change,regressor:gradient_boosting:scoring,regressor:gradient_boosting:tol,regressor:gradient_boosting:validation_fraction,regressor:k_nearest_neighbors:n_neighbors,regressor:k_nearest_neighbors:p,regressor:k_nearest_neighbors:weights,regressor:liblinear_svr:C,regressor:liblinear_svr:dual,regressor:liblinear_svr:epsilon,regressor:liblinear_svr:fit_intercept,regressor:liblinear_svr:intercept_scaling,regressor:liblinear_svr:loss,regressor:liblinear_svr:tol,regressor:libsvm_svr:C,regressor:libsvm_svr:coef0,regressor:libsvm_svr:degree,regressor:libsvm_svr:epsilon,regressor:libsvm_svr:gamma,regressor:libsvm_svr:kernel,regressor:libsvm_svr:max_iter,regressor:libsvm_svr:shrinking,regressor:libsvm_svr:tol,regressor:mlp:activation,regressor:mlp:alpha,regressor:mlp:batch_size,regressor:mlp:beta_1,regressor:mlp:beta_2,regressor:mlp:early_stopping,regressor:mlp:epsilon,regressor:mlp:hidden_layer_depth,regressor:mlp:learning_rate_init,regressor:mlp:n_iter_no_change,regressor:mlp:num_nodes_per_layer,regressor:mlp:shuffle,regressor:mlp:solver,regressor:mlp:tol,regressor:mlp:validation_fraction,regressor:random_forest:bootstrap,regressor:random_forest:criterion,regressor:random_forest:max_depth,regressor:random_forest:max_features,regressor:random_forest:max_leaf_nodes,regressor:random_forest:min_impurity_decrease,regressor:random_forest:min_samples_leaf,regressor:random_forest:min_samples_split,regressor:random_forest:min_weight_fraction_leaf,regressor:sgd:alpha,regressor:sgd:average,regressor:sgd:epsilon,regressor:sgd:eta0,regressor:sgd:fit_intercept,regressor:sgd:l1_ratio,regressor:sgd:learning_rate,regressor:sgd:loss,regressor:sgd:penalty,regressor:sgd:power_t,regressor:sgd:tol,data_preprocessor:__choice__
+2,no_encoding,no_coalescense,,most_frequent,standardize,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.1,fpr,f_regression,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.019645201003537352,1.1170068633409441e-07,130.632960269528,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+6,one_hot_encoding,minority_coalescer,0.000400759453878678,mean,minmax,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.09988990258830989,fpr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,3.0002886744200357e-06,0.015673535665067875,least_squares,255,None,7,23,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+7,one_hot_encoding,no_coalescense,,most_frequent,quantile_transformer,809,uniform,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,True,,,,,,,,,,,,,sgd,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.01806079811541296,False,,0.015540128437738566,True,0.9326390049807726,constant,squared_loss,elasticnet,,0.00010576654619459039,feature_type
+10,one_hot_encoding,minority_coalescer,0.00010349207190621693,mean,quantile_transformer,229,normal,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.055967923991199715,1.8694491708470566e-10,1.8954846844548174,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+13,one_hot_encoding,no_coalescense,,mean,standardize,,,,,extra_trees_preproc_for_regression,False,mse,None,0.7631509999921062,None,2,2,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,mlp,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,relu,6.037842605388564e-07,auto,0.9,0.999,valid,1e-08,3,0.0001120732057918536,32,100,True,adam,0.0001,0.1,,,,,,,,,,,,,,,,,,,,,feature_type
+17,one_hot_encoding,minority_coalescer,0.010250361463446604,mean,minmax,,,,,fast_ica,,,,,,,,,,parallel,exp,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,194.03096694114694,,,0.0010214279074797082,0.20113065159176252,rbf,-1,True,0.0206281932709369,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+19,one_hot_encoding,minority_coalescer,0.0013057623156653984,median,robust_scaler,,,0.7384386306109247,0.13619830011156256,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,47.935402876904554,f_regression,,,,sgd,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3.1920798638358104e-06,True,0.1,2.5662550861454332e-06,True,,invscaling,squared_epsilon_insensitive,l2,0.16443692558514034,7.823786229838958e-05,feature_type
+23,no_encoding,no_coalescense,,mean,quantile_transformer,626,uniform,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.1441108530403702,3.669712858764878e-08,63.38119089797623,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+26,no_encoding,no_coalescense,,mean,robust_scaler,,,0.7194207293244546,0.25,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,False,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,1e-10,0.04073473488071534,least_squares,255,None,22,4,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+28,no_encoding,minority_coalescer,0.00397868572473159,mean,robust_scaler,,,0.7840854273341944,0.11376189722146844,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,k_nearest_neighbors,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,20,2,distance,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+31,no_encoding,minority_coalescer,0.00014899709205673406,most_frequent,robust_scaler,,,0.8498515960462831,0.2493877412289307,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,53.074440365115905,mutual_info,,,,ard_regression,,,,,2.7664515192592053e-05,9.504988116581138e-07,True,4.184987756432487e-09,4.238533890074848e-07,300,78251.58542976103,0.0006951835906397672,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+34,one_hot_encoding,no_coalescense,,most_frequent,quantile_transformer,952,uniform,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,1.8428972335335263e-10,0.012607824914758717,least_squares,255,None,10,8,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+39,no_encoding,minority_coalescer,0.013069046428333956,mean,quantile_transformer,1389,normal,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,mse,None,0.7517792740390704,None,0.0,6,2,0.0,,,,,,,,,,,,feature_type
+40,no_encoding,minority_coalescer,0.032459358237118964,mean,quantile_transformer,245,normal,,,fast_ica,,,,,,,,,,parallel,exp,1538,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.010616529299999268,3.3168147703951036e-07,4.182958258383621,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+43,no_encoding,no_coalescense,,mean,standardize,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.034904198000955684,fdr,f_regression,liblinear_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,35.012615180923554,False,0.7326132441316412,True,1,squared_epsilon_insensitive,0.00012982617662684841,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+48,no_encoding,minority_coalescer,0.007285175031750927,most_frequent,standardize,,,,,kernel_pca,,,,,,,,,,,,,,,,,,,,0.3892888368591911,rbf,1205,,,,,,,,,,,,,,,,,,,,,,,,,liblinear_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,527.2805278622302,False,0.0023914129516101872,True,1,squared_epsilon_insensitive,3.308026672204565e-05,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+50,one_hot_encoding,minority_coalescer,0.01047631022335275,median,minmax,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,True,mse,None,0.5535883939348928,None,0.0,2,16,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+54,one_hot_encoding,minority_coalescer,0.06501698406855842,most_frequent,standardize,,,,,fast_ica,,,,,,,,,,parallel,cube,184,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.06138907077602462,2.1193402649051655e-10,10.458248457966066,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+57,one_hot_encoding,minority_coalescer,0.0010413452644415357,mean,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,False,mae,None,0.6277363920171745,None,0.0,6,15,0.0,,,,,,,,,,,,feature_type
+58,one_hot_encoding,no_coalescense,,median,standardize,,,,,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,22.538520410186127,f_regression,,,,liblinear_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.036388789196735646,False,0.0012739627397164333,True,1,squared_epsilon_insensitive,0.020180468804448126,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+63,no_encoding,no_coalescense,,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,True,mse,None,0.9615263480351033,None,0.0,1,2,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+66,no_encoding,minority_coalescer,0.00016754269505428354,median,quantile_transformer,170,uniform,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mse,None,0.6962692885049272,None,0.0,17,17,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+67,no_encoding,no_coalescense,,median,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,valid,0.0018018055158809108,0.05048450688348591,least_squares,255,None,3,1,19,loss,1e-07,0.19819612428903174,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+70,no_encoding,minority_coalescer,0.015521269213050653,mean,quantile_transformer,472,normal,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,False,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,mse,None,0.1509528252746419,None,0.0,17,2,0.0,,,,,,,,,,,,feature_type
+73,no_encoding,minority_coalescer,0.010000000000000004,mean,none,,,,,feature_agglomeration,,,,,,,,,,,,,,manhattan,average,26,max,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.051300886003085196,0.00012664987999260594,4.670733780898565,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+77,no_encoding,minority_coalescer,0.28144748021848814,mean,robust_scaler,,,0.8771493204875395,0.13693823573634356,fast_ica,,,,,,,,,,deflation,cube,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,friedman_mse,None,1.0,None,0.0,1,2,0.0,,,,,,,,,,,,feature_type
+79,no_encoding,minority_coalescer,0.042366198588653134,most_frequent,minmax,,,,,fast_ica,,,,,,,,,,deflation,logcosh,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,7277.320824640944,,,0.0013490872095510865,0.03233188643981015,rbf,-1,True,0.0034607903098849255,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+82,no_encoding,minority_coalescer,0.05607310321489163,mean,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,28831.968873651404,0.39386733846748023,3,0.12370783564202235,0.0026233747431769617,poly,-1,True,4.714268123196739e-05,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+86,one_hot_encoding,no_coalescense,,most_frequent,standardize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,ard_regression,,,,,0.0003701926442639788,2.2118001735899097e-07,True,1.2037591637980971e-06,4.358378124977852e-09,300,1136.5286041327277,0.021944240404849075,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+89,one_hot_encoding,minority_coalescer,0.0011912229897445134,mean,standardize,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,0.005746611563553693,0.0913971028976721,least_squares,255,None,9,2,20,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+92,no_encoding,no_coalescense,,most_frequent,standardize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,True,,,,,,,,,,,,,mlp,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,tanh,0.00023501461451248853,auto,0.9,0.999,train,1e-08,1,0.00014972142082858664,32,234,True,adam,0.0001,,,,,,,,,,,,,,,,,,,,,,feature_type
+95,one_hot_encoding,minority_coalescer,0.010000000000000004,median,robust_scaler,,,0.7912621507143142,0.2637968890661204,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,5.997418027353535e-10,0.12286466971783992,least_squares,255,None,26,8,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+98,no_encoding,no_coalescense,,mean,robust_scaler,,,0.7010465420634562,0.19032833128592427,feature_agglomeration,,,,,,,,,,,,,,euclidean,ward,31,max,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,friedman_mse,None,0.7612289466695656,None,0.0,1,2,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+101,one_hot_encoding,no_coalescense,,median,robust_scaler,,,0.7548820011150241,0.02964869664953053,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,valid,3.1008789875481045e-10,0.9742767231340886,least_squares,255,None,76,8,10,loss,1e-07,0.08508571055472691,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+102,no_encoding,minority_coalescer,0.00829519231049576,mean,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,ard_regression,,,,,4.7044575285722365e-05,0.000629863807127318,True,7.584067704707025e-10,3.923255608410879e-08,300,4052.403778957396,0.009359388994186051,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+105,one_hot_encoding,no_coalescense,,median,none,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.4686252124441843,fpr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,valid,0.0038606936054114,0.020266625124044115,least_squares,255,None,458,158,18,loss,1e-07,0.27775972890692574,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+107,no_encoding,no_coalescense,,mean,robust_scaler,,,0.7727512096172742,0.22461598115758682,feature_agglomeration,,,,,,,,,,,,,,manhattan,complete,21,max,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,2.208787572338781e-05,0.036087332404571744,least_squares,255,None,64,3,18,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+110,no_encoding,minority_coalescer,0.0006869013905922761,mean,quantile_transformer,1352,normal,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.07357548990881542,fpr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,3.20414911914726e-10,0.1279702444496931,least_squares,255,None,63,19,8,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+115,no_encoding,no_coalescense,,mean,normalize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,ard_regression,,,,,0.0007694645303288904,6.907464089785431e-06,True,5.725240603355948e-06,2.2747405613470773e-05,300,58747.57814168738,5.818442213575333e-05,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+117,no_encoding,no_coalescense,,most_frequent,none,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.2031136218970144,,,0.340528001967228,,linear,-1,False,4.070347915643521e-05,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+119,no_encoding,minority_coalescer,0.0024824409953506307,most_frequent,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,True,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,friedman_mse,None,0.8276036843429629,None,0.0,5,13,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+124,one_hot_encoding,no_coalescense,,median,quantile_transformer,1779,normal,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,4.957506578736309e-07,0.05200721900508807,least_squares,255,None,4,2,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+126,no_encoding,minority_coalescer,0.010222641912650656,median,quantile_transformer,1092,uniform,,,feature_agglomeration,,,,,,,,,,,,,,euclidean,ward,59,mean,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,adaboost,0.010571278032840276,linear,10,116,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+128,one_hot_encoding,no_coalescense,,most_frequent,quantile_transformer,1040,uniform,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,1.27381234568573e-07,0.02758260805263155,least_squares,255,None,57,5,1,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+132,one_hot_encoding,minority_coalescer,0.0001745391328519669,most_frequent,robust_scaler,,,0.8057830372269097,0.24982831110057324,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.3621762718897781,fwe,f_regression,ard_regression,,,,,2.7664515192592053e-05,9.504988116581138e-07,True,6.50650698230178e-09,4.238533890074848e-07,300,78251.58542976103,0.0007301343236220855,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+136,one_hot_encoding,minority_coalescer,0.008225465238838799,most_frequent,quantile_transformer,709,uniform,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2.1305589487469477e-06,0.0002524679984945707,57.09316986719562,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+138,no_encoding,minority_coalescer,0.018981164720696175,median,minmax,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.03175182874113965,0.00030344963288406407,64164.586360277535,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+140,no_encoding,no_coalescense,,median,minmax,,,,,feature_agglomeration,,,,,,,,,,,,,,euclidean,average,272,median,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mse,None,0.5120356089629183,None,0.0,1,4,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+144,one_hot_encoding,minority_coalescer,0.0033650478527174027,median,none,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,True,friedman_mse,None,0.7303174358688075,None,0.0,10,10,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+148,no_encoding,no_coalescense,,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,ard_regression,,,,,0.0005879259823371087,3.410007832100047e-07,True,1.6597956274062097e-05,9.910691609164284e-10,300,2203.910297381356,0.006471761365578467,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+150,no_encoding,no_coalescense,,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mse,None,0.9797793053686011,None,0.0,1,4,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+153,one_hot_encoding,minority_coalescer,0.00013899061331455512,mean,minmax,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.19203734614573903,fdr,f_regression,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.28764734226521,1.5934220315148466e-07,59443.23501615305,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+156,no_encoding,minority_coalescer,0.013018052591541176,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,friedman_mse,None,0.9734334465992716,None,0.0,2,9,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+158,one_hot_encoding,minority_coalescer,0.0001897686484596082,median,robust_scaler,,,0.7768342897092668,0.27222390764426924,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.00025503968621419157,1.161826998793312e-08,80.91415602800988,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+160,one_hot_encoding,no_coalescense,,mean,standardize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,False,,,,,,,,,,,,,ard_regression,,,,,0.0007518973788007592,2.1035374255689506e-10,True,1.9130145173139983e-06,6.539971988038889e-10,300,3146.7808694741443,0.0003708004149981124,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+163,no_encoding,no_coalescense,,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,True,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.283161627129086,7.245332579977274e-08,36.28453043772396,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+168,one_hot_encoding,minority_coalescer,0.001512533360913062,median,none,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.07521950921951931,fwe,f_regression,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,friedman_mse,None,0.7805550079834586,None,0.0,3,20,0.0,,,,,,,,,,,,feature_type
+171,one_hot_encoding,no_coalescense,,mean,quantile_transformer,268,uniform,,,feature_agglomeration,,,,,,,,,,,,,,euclidean,average,107,median,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.42928092501196696,1.4435895787652725e-07,8.108685026706572,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+174,one_hot_encoding,no_coalescense,,most_frequent,none,,,,,fast_ica,,,,,,,,,,deflation,exp,671,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,ard_regression,,,,,4.124442820298477e-05,1.161663644436331e-06,True,1.5236144126449076e-09,0.00046882633285888015,300,86828.75337540788,0.0010379122151177183,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+176,one_hot_encoding,minority_coalescer,0.019566163649872924,most_frequent,robust_scaler,,,0.7200608810425068,0.22968043330398744,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.18539282936320728,fwe,f_regression,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mae,None,0.9029989558220115,None,0.0,1,2,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+179,no_encoding,no_coalescense,,most_frequent,normalize,,,,,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,91.55750915031366,mutual_info,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,True,friedman_mse,None,0.24739007040418165,None,0.0,4,17,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+182,one_hot_encoding,no_coalescense,,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,valid,0.013442521728157596,0.15308825058123207,least_squares,255,None,26,6,20,loss,1e-07,0.08504769517258337,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+184,no_encoding,no_coalescense,,mean,normalize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,True,,,,,,,,,,,,,ard_regression,,,,,6.074038958967586e-05,4.934531533509717e-07,True,0.00034504048920015604,1.4861857758465898e-06,300,1995.6088649916076,0.0033943514455527686,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+186,no_encoding,minority_coalescer,0.010515112787842862,most_frequent,quantile_transformer,583,uniform,,,feature_agglomeration,,,,,,,,,,,,,,euclidean,average,5,mean,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.00015169626319121407,0.0006853872700383563,80227.86048666916,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+191,one_hot_encoding,minority_coalescer,0.039520728280417826,mean,minmax,,,,,kitchen_sinks,,,,,,,,,,,,,,,,,,,,,,,5.288249085278679,4176,,,,,,,,,,,,,,,,,,,,,,,liblinear_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,224.245634141281,False,0.009173958659191201,True,1,squared_epsilon_insensitive,1.9920161216131034e-05,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+193,no_encoding,no_coalescense,,mean,robust_scaler,,,0.7550402508982338,0.24842410508333093,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,True,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,6.238367840293606e-10,0.026111542610815466,least_squares,255,None,177,37,18,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+197,one_hot_encoding,minority_coalescer,0.009368863843266871,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.02846835702208294,1.2011941574832026e-06,67511.87095482116,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+199,no_encoding,minority_coalescer,0.44467269258042313,most_frequent,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,6.676910625638355e-09,0.052530803029130685,least_squares,255,None,31,20,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+201,one_hot_encoding,minority_coalescer,0.0022298554040543614,most_frequent,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,1.3053128884667706e-10,0.05594167483605857,least_squares,255,None,85,10,4,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+204,no_encoding,minority_coalescer,0.22734310669224594,most_frequent,robust_scaler,,,0.9761574925741068,0.2928944546265386,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.04882039966006706,fdr,f_regression,extra_trees,,,,,,,,,,,,,,,,,,,,,False,friedman_mse,None,0.9982746726091221,None,0.0,4,2,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+207,one_hot_encoding,minority_coalescer,0.010000000000000004,mean,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,True,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,6.085630700044881e-10,0.12392806728650493,least_squares,255,None,31,25,7,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+211,no_encoding,no_coalescense,,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,180.22479438529933,,,0.0012571604901280202,0.10272820821863678,rbf,-1,False,0.02945259690926852,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+214,one_hot_encoding,no_coalescense,,most_frequent,standardize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,True,,,,,,,,,,,,,sgd,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.00038839431353936653,False,,0.0007930509929393179,True,0.61724426807128,constant,squared_loss,elasticnet,,1.285973891441802e-05,feature_type
+217,one_hot_encoding,minority_coalescer,0.00013426375251483367,mean,quantile_transformer,1000,normal,,,extra_trees_preproc_for_regression,False,mae,None,0.9485456391530016,None,2,11,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,mae,None,1.0,None,0.0,1,5,0.0,,,,,,,,,,,,feature_type
+221,one_hot_encoding,minority_coalescer,0.009016977995123954,most_frequent,standardize,,,,,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,94.50207398648911,f_regression,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,False,mse,None,0.18485496201511814,None,0.0,18,18,0.0,,,,,,,,,,,,feature_type
+224,one_hot_encoding,no_coalescense,,median,quantile_transformer,1016,uniform,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.3992671482410072,fpr,f_regression,extra_trees,,,,,,,,,,,,,,,,,,,,,True,mse,None,0.2477939208870194,None,0.0,2,4,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+225,one_hot_encoding,minority_coalescer,0.010356286469647443,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,mlp,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,relu,6.108449182457731e-05,auto,0.9,0.999,valid,1e-08,3,0.00027704755935258253,32,101,True,adam,0.0001,0.1,,,,,,,,,,,,,,,,,,,,,feature_type
+228,no_encoding,minority_coalescer,0.0005112414168823774,median,standardize,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.4807408968132736,fdr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,5.775517309881741e-08,0.020024969424259676,least_squares,255,None,156,85,16,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+232,no_encoding,no_coalescense,,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,False,,,,,,,,,,,,,sgd,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.0006517033225329654,False,0.012150149892783745,0.016444224834275295,True,1.7462342366289323e-09,invscaling,epsilon_insensitive,elasticnet,0.21521743568582094,0.002431731981071206,feature_type
+235,one_hot_encoding,minority_coalescer,0.010000000000000004,most_frequent,standardize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.035440248140559884,1.142436233486746e-09,2235.498740920408,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+237,no_encoding,minority_coalescer,0.007741331259480108,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.020932011717701825,7.512295484675918e-08,427.92917011793116,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+240,one_hot_encoding,minority_coalescer,0.010000000000000004,mean,standardize,,,,,extra_trees_preproc_for_regression,True,friedman_mse,None,0.969236220539822,None,1,2,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.013068012551322245,2.979079708104577e-07,50599.0613366392,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+245,one_hot_encoding,minority_coalescer,0.052483220498897844,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.017488165983844263,4.199154538507709e-05,18825.14718012417,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+247,one_hot_encoding,minority_coalescer,0.014192135928954746,median,standardize,,,,,fast_ica,,,,,,,,,,deflation,exp,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1.4272136443763257,0.2694141260648879,2,0.10000000000000006,0.05757315877344016,poly,-1,False,0.0010000000000000002,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+251,no_encoding,no_coalescense,,median,standardize,,,,,extra_trees_preproc_for_regression,True,mae,None,0.7533134853493275,None,1,4,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,0.8025720428105109,0.2759754081799624,least_squares,255,None,18,172,11,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+252,one_hot_encoding,minority_coalescer,0.0001745391328519669,most_frequent,robust_scaler,,,0.8057830372269097,0.24982831110057324,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.3621762718897781,fwe,f_regression,ard_regression,,,,,2.7664515192592053e-05,9.504988116581138e-07,True,6.50650698230178e-09,4.238533890074848e-07,300,78251.58542976103,0.0007301343236220855,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+257,one_hot_encoding,minority_coalescer,0.0216783950539192,mean,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,0.00010889929093369623,0.013461560146088193,least_squares,255,None,922,78,19,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+258,no_encoding,minority_coalescer,0.06944124485705933,median,robust_scaler,,,0.9459191670017113,0.19705568051981365,feature_agglomeration,,,,,,,,,,,,,,euclidean,ward,25,median,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,ard_regression,,,,,1.3451538602739027e-05,9.646408445137836e-08,True,2.5198380744059647e-07,3.03274213695262e-10,300,1212.6400146193068,0.0014720713972345503,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+262,no_encoding,minority_coalescer,0.0017516626568532072,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.09414230179794553,1.3692618062770113e-09,15642.37580197983,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+266,no_encoding,minority_coalescer,0.0002660105205394136,median,none,,,,,fast_ica,,,,,,,,,,deflation,logcosh,977,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,liblinear_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.1637099972824213,False,0.5342957861386396,True,1,squared_epsilon_insensitive,0.00011557548242116838,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+268,no_encoding,minority_coalescer,0.019298178366706394,mean,minmax,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,decision_tree,,,,,,,,,,,,,mae,0.2781806943014362,1.0,None,0.0,17,7,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+270,one_hot_encoding,no_coalescense,,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.037731974209709904,5.002213042554931e-07,22409.945864393645,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+274,one_hot_encoding,minority_coalescer,0.0002682359625135144,mean,quantile_transformer,1567,uniform,,,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,85.70259306141033,f_regression,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,6.536723381440492e-05,0.03940103065495631,least_squares,255,None,77,9,7,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+276,one_hot_encoding,no_coalescense,,median,minmax,,,,,pca,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.991729015298316,True,,,,,,,,,,,,,,,,adaboost,0.019011223549222432,linear,9,395,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+279,no_encoding,minority_coalescer,0.4873131661139947,mean,standardize,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.43441750135120694,fpr,f_regression,k_nearest_neighbors,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,2,distance,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+282,one_hot_encoding,minority_coalescer,0.024334629729258105,most_frequent,standardize,,,,,extra_trees_preproc_for_regression,False,mae,None,0.9280962404032027,None,1,11,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.02341626598167312,1.0753192773067984e-09,30626.12455645968,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+285,no_encoding,no_coalescense,,mean,minmax,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.2186105871515939,fdr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,0.10377482408306521,0.016255400771699312,least_squares,255,None,65,70,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
diff --git a/autosklearn/metalearning/files/root_mean_squared_error_regression_sparse/configurations.csv b/autosklearn/metalearning/files/root_mean_squared_error_regression_sparse/configurations.csv
index 52fdb0ce9f..c1fbd54024 100644
--- a/autosklearn/metalearning/files/root_mean_squared_error_regression_sparse/configurations.csv
+++ b/autosklearn/metalearning/files/root_mean_squared_error_regression_sparse/configurations.csv
@@ -1,98 +1,98 @@
-idx,data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__,data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__,data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction,data_preprocessor:feature_type:numerical_transformer:imputation:strategy,data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__,data_preprocessor:feature_type:numerical_transformer:rescaling:quantile_transformer:n_quantiles,data_preprocessor:feature_type:numerical_transformer:rescaling:quantile_transformer:output_distribution,data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_max,data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_min,feature_preprocessor:__choice__,feature_preprocessor:extra_trees_preproc_for_regression:bootstrap,feature_preprocessor:extra_trees_preproc_for_regression:criterion,feature_preprocessor:extra_trees_preproc_for_regression:max_depth,feature_preprocessor:extra_trees_preproc_for_regression:max_features,feature_preprocessor:extra_trees_preproc_for_regression:max_leaf_nodes,feature_preprocessor:extra_trees_preproc_for_regression:min_samples_leaf,feature_preprocessor:extra_trees_preproc_for_regression:min_samples_split,feature_preprocessor:extra_trees_preproc_for_regression:min_weight_fraction_leaf,feature_preprocessor:extra_trees_preproc_for_regression:n_estimators,feature_preprocessor:fast_ica:algorithm,feature_preprocessor:fast_ica:fun,feature_preprocessor:fast_ica:n_components,feature_preprocessor:fast_ica:whiten,feature_preprocessor:feature_agglomeration:affinity,feature_preprocessor:feature_agglomeration:linkage,feature_preprocessor:feature_agglomeration:n_clusters,feature_preprocessor:feature_agglomeration:pooling_func,feature_preprocessor:kernel_pca:coef0,feature_preprocessor:kernel_pca:degree,feature_preprocessor:kernel_pca:gamma,feature_preprocessor:kernel_pca:kernel,feature_preprocessor:kernel_pca:n_components,feature_preprocessor:kitchen_sinks:gamma,feature_preprocessor:kitchen_sinks:n_components,feature_preprocessor:nystroem_sampler:coef0,feature_preprocessor:nystroem_sampler:degree,feature_preprocessor:nystroem_sampler:gamma,feature_preprocessor:nystroem_sampler:kernel,feature_preprocessor:nystroem_sampler:n_components,feature_preprocessor:pca:keep_variance,feature_preprocessor:pca:whiten,feature_preprocessor:polynomial:degree,feature_preprocessor:polynomial:include_bias,feature_preprocessor:polynomial:interaction_only,feature_preprocessor:random_trees_embedding:bootstrap,feature_preprocessor:random_trees_embedding:max_depth,feature_preprocessor:random_trees_embedding:max_leaf_nodes,feature_preprocessor:random_trees_embedding:min_samples_leaf,feature_preprocessor:random_trees_embedding:min_samples_split,feature_preprocessor:random_trees_embedding:min_weight_fraction_leaf,feature_preprocessor:random_trees_embedding:n_estimators,feature_preprocessor:select_percentile_regression:percentile,feature_preprocessor:select_percentile_regression:score_func,feature_preprocessor:select_rates_regression:alpha,feature_preprocessor:select_rates_regression:mode,feature_preprocessor:select_rates_regression:score_func,regressor:__choice__,regressor:adaboost:learning_rate,regressor:adaboost:loss,regressor:adaboost:max_depth,regressor:adaboost:n_estimators,regressor:ard_regression:alpha_1,regressor:ard_regression:alpha_2,regressor:ard_regression:fit_intercept,regressor:ard_regression:lambda_1,regressor:ard_regression:lambda_2,regressor:ard_regression:n_iter,regressor:ard_regression:threshold_lambda,regressor:ard_regression:tol,regressor:decision_tree:criterion,regressor:decision_tree:max_depth_factor,regressor:decision_tree:max_features,regressor:decision_tree:max_leaf_nodes,regressor:decision_tree:min_impurity_decrease,regressor:decision_tree:min_samples_leaf,regressor:decision_tree:min_samples_split,regressor:decision_tree:min_weight_fraction_leaf,regressor:extra_trees:bootstrap,regressor:extra_trees:criterion,regressor:extra_trees:max_depth,regressor:extra_trees:max_features,regressor:extra_trees:max_leaf_nodes,regressor:extra_trees:min_impurity_decrease,regressor:extra_trees:min_samples_leaf,regressor:extra_trees:min_samples_split,regressor:extra_trees:min_weight_fraction_leaf,regressor:gaussian_process:alpha,regressor:gaussian_process:thetaL,regressor:gaussian_process:thetaU,regressor:gradient_boosting:early_stop,regressor:gradient_boosting:l2_regularization,regressor:gradient_boosting:learning_rate,regressor:gradient_boosting:loss,regressor:gradient_boosting:max_bins,regressor:gradient_boosting:max_depth,regressor:gradient_boosting:max_leaf_nodes,regressor:gradient_boosting:min_samples_leaf,regressor:gradient_boosting:n_iter_no_change,regressor:gradient_boosting:scoring,regressor:gradient_boosting:tol,regressor:gradient_boosting:validation_fraction,regressor:k_nearest_neighbors:n_neighbors,regressor:k_nearest_neighbors:p,regressor:k_nearest_neighbors:weights,regressor:liblinear_svr:C,regressor:liblinear_svr:dual,regressor:liblinear_svr:epsilon,regressor:liblinear_svr:fit_intercept,regressor:liblinear_svr:intercept_scaling,regressor:liblinear_svr:loss,regressor:liblinear_svr:tol,regressor:libsvm_svr:C,regressor:libsvm_svr:coef0,regressor:libsvm_svr:degree,regressor:libsvm_svr:epsilon,regressor:libsvm_svr:gamma,regressor:libsvm_svr:kernel,regressor:libsvm_svr:max_iter,regressor:libsvm_svr:shrinking,regressor:libsvm_svr:tol,regressor:mlp:activation,regressor:mlp:alpha,regressor:mlp:batch_size,regressor:mlp:beta_1,regressor:mlp:beta_2,regressor:mlp:early_stopping,regressor:mlp:epsilon,regressor:mlp:hidden_layer_depth,regressor:mlp:learning_rate_init,regressor:mlp:n_iter_no_change,regressor:mlp:num_nodes_per_layer,regressor:mlp:shuffle,regressor:mlp:solver,regressor:mlp:tol,regressor:mlp:validation_fraction,regressor:random_forest:bootstrap,regressor:random_forest:criterion,regressor:random_forest:max_depth,regressor:random_forest:max_features,regressor:random_forest:max_leaf_nodes,regressor:random_forest:min_impurity_decrease,regressor:random_forest:min_samples_leaf,regressor:random_forest:min_samples_split,regressor:random_forest:min_weight_fraction_leaf,regressor:sgd:alpha,regressor:sgd:average,regressor:sgd:epsilon,regressor:sgd:eta0,regressor:sgd:fit_intercept,regressor:sgd:l1_ratio,regressor:sgd:learning_rate,regressor:sgd:loss,regressor:sgd:penalty,regressor:sgd:power_t,regressor:sgd:tol,data_preprocessor:__choice__
-2,no_encoding,no_coalescense,,most_frequent,standardize,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.1,fpr,f_regression,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.019645201003537352,1.1170068633409441e-07,130.632960269528,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-6,one_hot_encoding,minority_coalescer,0.000400759453878678,mean,minmax,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.09988990258830989,fpr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,3.0002886744200357e-06,0.015673535665067875,least_squares,255,None,7,23,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-7,one_hot_encoding,no_coalescense,,most_frequent,quantile_transformer,809,uniform,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,True,,,,,,,,,,,,,sgd,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.01806079811541296,False,,0.015540128437738566,True,0.9326390049807726,constant,squared_loss,elasticnet,,0.00010576654619459039,feature_type
-10,one_hot_encoding,minority_coalescer,0.00010349207190621693,mean,quantile_transformer,229,normal,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.055967923991199715,1.8694491708470566e-10,1.8954846844548174,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-13,one_hot_encoding,no_coalescense,,mean,standardize,,,,,extra_trees_preproc_for_regression,False,mse,None,0.7631509999921062,None,2,2,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,mlp,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,relu,6.037842605388564e-07,auto,0.9,0.999,valid,1e-08,3,0.0001120732057918536,32,100,True,adam,0.0001,0.1,,,,,,,,,,,,,,,,,,,,,feature_type
-17,one_hot_encoding,minority_coalescer,0.010250361463446604,mean,minmax,,,,,fast_ica,,,,,,,,,,parallel,exp,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,194.03096694114694,,3,0.0010214279074797082,0.20113065159176252,rbf,-1,True,0.0206281932709369,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-19,one_hot_encoding,minority_coalescer,0.0013057623156653984,median,robust_scaler,,,0.7384386306109247,0.13619830011156256,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,47.935402876904554,f_regression,,,,sgd,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3.1920798638358104e-06,True,0.1,2.5662550861454332e-06,True,,invscaling,squared_epsilon_insensitive,l2,0.16443692558514034,7.823786229838958e-05,feature_type
-23,no_encoding,no_coalescense,,mean,quantile_transformer,626,uniform,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.1441108530403702,3.669712858764878e-08,63.38119089797623,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-26,no_encoding,no_coalescense,,mean,robust_scaler,,,0.7194207293244546,0.25,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,False,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,1e-10,0.04073473488071534,least_squares,255,None,22,4,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-28,no_encoding,minority_coalescer,0.00397868572473159,mean,robust_scaler,,,0.7840854273341944,0.11376189722146844,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,k_nearest_neighbors,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,20,2,distance,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-31,no_encoding,minority_coalescer,0.00014899709205673406,most_frequent,robust_scaler,,,0.8498515960462831,0.2493877412289307,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,53.074440365115905,mutual_info,,,,ard_regression,,,,,2.7664515192592053e-05,9.504988116581138e-07,True,4.184987756432487e-09,4.238533890074848e-07,300,78251.58542976103,0.0006951835906397672,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-34,one_hot_encoding,no_coalescense,,most_frequent,quantile_transformer,952,uniform,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,1.8428972335335263e-10,0.012607824914758717,least_squares,255,None,10,8,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-39,no_encoding,minority_coalescer,0.013069046428333956,mean,quantile_transformer,1389,normal,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,mse,None,0.7517792740390704,None,0.0,6,2,0.0,,,,,,,,,,,,feature_type
-40,no_encoding,minority_coalescer,0.032459358237118964,mean,quantile_transformer,245,normal,,,fast_ica,,,,,,,,,,parallel,exp,1538,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.010616529299999268,3.3168147703951036e-07,4.182958258383621,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-43,no_encoding,no_coalescense,,mean,standardize,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.034904198000955684,fdr,f_regression,liblinear_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,35.012615180923554,False,0.7326132441316412,True,1,squared_epsilon_insensitive,0.00012982617662684841,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-48,no_encoding,minority_coalescer,0.007285175031750927,most_frequent,standardize,,,,,kernel_pca,,,,,,,,,,,,,,,,,,,,0.3892888368591911,rbf,1205,,,,,,,,,,,,,,,,,,,,,,,,,liblinear_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,527.2805278622302,False,0.0023914129516101872,True,1,squared_epsilon_insensitive,3.308026672204565e-05,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-50,one_hot_encoding,minority_coalescer,0.01047631022335275,median,minmax,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,True,mse,None,0.5535883939348928,None,0.0,2,16,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-54,one_hot_encoding,minority_coalescer,0.06501698406855842,most_frequent,standardize,,,,,fast_ica,,,,,,,,,,parallel,cube,184,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.06138907077602462,2.1193402649051655e-10,10.458248457966066,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-57,one_hot_encoding,minority_coalescer,0.0010413452644415357,mean,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,False,mae,None,0.6277363920171745,None,0.0,6,15,0.0,,,,,,,,,,,,feature_type
-58,one_hot_encoding,no_coalescense,,median,standardize,,,,,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,22.538520410186127,f_regression,,,,liblinear_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.036388789196735646,False,0.0012739627397164333,True,1,squared_epsilon_insensitive,0.020180468804448126,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-63,no_encoding,no_coalescense,,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,True,mse,None,0.9615263480351033,None,0.0,1,2,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-66,no_encoding,minority_coalescer,0.00016754269505428354,median,quantile_transformer,170,uniform,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mse,None,0.6962692885049272,None,0.0,17,17,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-67,no_encoding,no_coalescense,,median,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,valid,0.0018018055158809108,0.05048450688348591,least_squares,255,None,3,1,19,loss,1e-07,0.19819612428903174,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-70,no_encoding,minority_coalescer,0.015521269213050653,mean,quantile_transformer,472,normal,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,False,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,mse,None,0.1509528252746419,None,0.0,17,2,0.0,,,,,,,,,,,,feature_type
-73,no_encoding,minority_coalescer,0.010000000000000004,mean,none,,,,,feature_agglomeration,,,,,,,,,,,,,,manhattan,average,26,max,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.051300886003085196,0.00012664987999260594,4.670733780898565,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-77,no_encoding,minority_coalescer,0.28144748021848814,mean,robust_scaler,,,0.8771493204875395,0.13693823573634356,fast_ica,,,,,,,,,,deflation,cube,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,friedman_mse,None,1.0,None,0.0,1,2,0.0,,,,,,,,,,,,feature_type
-79,no_encoding,minority_coalescer,0.042366198588653134,most_frequent,minmax,,,,,fast_ica,,,,,,,,,,deflation,logcosh,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,7277.320824640944,,2,0.0013490872095510865,0.03233188643981015,rbf,-1,True,0.0034607903098849255,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-82,no_encoding,minority_coalescer,0.05607310321489163,mean,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,28831.968873651404,0.39386733846748023,3,0.12370783564202235,0.0026233747431769617,poly,-1,True,4.714268123196739e-05,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-86,one_hot_encoding,no_coalescense,,most_frequent,standardize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,ard_regression,,,,,0.0003701926442639788,2.2118001735899097e-07,True,1.2037591637980971e-06,4.358378124977852e-09,300,1136.5286041327277,0.021944240404849075,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-89,one_hot_encoding,minority_coalescer,0.0011912229897445134,mean,standardize,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,0.005746611563553693,0.0913971028976721,least_squares,255,None,9,2,20,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-92,no_encoding,no_coalescense,,most_frequent,standardize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,True,,,,,,,,,,,,,mlp,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,tanh,0.00023501461451248853,auto,0.9,0.999,train,1e-08,1,0.00014972142082858664,32,234,True,adam,0.0001,,,,,,,,,,,,,,,,,,,,,,feature_type
-95,one_hot_encoding,minority_coalescer,0.010000000000000004,median,robust_scaler,,,0.7912621507143142,0.2637968890661204,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,5.997418027353535e-10,0.12286466971783992,least_squares,255,None,26,8,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-98,no_encoding,no_coalescense,,mean,robust_scaler,,,0.7010465420634562,0.19032833128592427,feature_agglomeration,,,,,,,,,,,,,,euclidean,ward,31,max,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,friedman_mse,None,0.7612289466695656,None,0.0,1,2,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-101,one_hot_encoding,no_coalescense,,median,robust_scaler,,,0.7548820011150241,0.02964869664953053,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,valid,3.1008789875481045e-10,0.9742767231340886,least_squares,255,None,76,8,10,loss,1e-07,0.08508571055472691,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-102,no_encoding,minority_coalescer,0.00829519231049576,mean,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,ard_regression,,,,,4.7044575285722365e-05,0.000629863807127318,True,7.584067704707025e-10,3.923255608410879e-08,300,4052.403778957396,0.009359388994186051,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-105,one_hot_encoding,no_coalescense,,median,none,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.4686252124441843,fpr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,valid,0.0038606936054114,0.020266625124044115,least_squares,255,None,458,158,18,loss,1e-07,0.27775972890692574,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-107,no_encoding,no_coalescense,,mean,robust_scaler,,,0.7727512096172742,0.22461598115758682,feature_agglomeration,,,,,,,,,,,,,,manhattan,complete,21,max,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,2.208787572338781e-05,0.036087332404571744,least_squares,255,None,64,3,18,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-110,no_encoding,minority_coalescer,0.0006869013905922761,mean,quantile_transformer,1352,normal,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.07357548990881542,fpr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,3.20414911914726e-10,0.1279702444496931,least_squares,255,None,63,19,8,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-115,no_encoding,no_coalescense,,mean,normalize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,ard_regression,,,,,0.0007694645303288904,6.907464089785431e-06,True,5.725240603355948e-06,2.2747405613470773e-05,300,58747.57814168738,5.818442213575333e-05,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-117,no_encoding,no_coalescense,,most_frequent,none,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.2031136218970144,,,0.340528001967228,,linear,-1,False,4.070347915643521e-05,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-119,no_encoding,minority_coalescer,0.0024824409953506307,most_frequent,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,True,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,friedman_mse,None,0.8276036843429629,None,0.0,5,13,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-124,one_hot_encoding,no_coalescense,,median,quantile_transformer,1779,normal,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,4.957506578736309e-07,0.05200721900508807,least_squares,255,None,4,2,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-126,no_encoding,minority_coalescer,0.010222641912650656,median,quantile_transformer,1092,uniform,,,feature_agglomeration,,,,,,,,,,,,,,euclidean,ward,59,mean,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,adaboost,0.010571278032840276,linear,10,116,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-128,one_hot_encoding,no_coalescense,,most_frequent,quantile_transformer,1040,uniform,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,1.27381234568573e-07,0.02758260805263155,least_squares,255,None,57,5,1,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-132,one_hot_encoding,minority_coalescer,0.0001745391328519669,most_frequent,robust_scaler,,,0.8057830372269097,0.24982831110057324,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.3621762718897781,fwe,f_regression,ard_regression,,,,,2.7664515192592053e-05,9.504988116581138e-07,True,6.50650698230178e-09,4.238533890074848e-07,300,78251.58542976103,0.0007301343236220855,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-136,one_hot_encoding,minority_coalescer,0.008225465238838799,most_frequent,quantile_transformer,709,uniform,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2.1305589487469477e-06,0.0002524679984945707,57.09316986719562,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-138,no_encoding,minority_coalescer,0.018981164720696175,median,minmax,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.03175182874113965,0.00030344963288406407,64164.586360277535,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-140,no_encoding,no_coalescense,,median,minmax,,,,,feature_agglomeration,,,,,,,,,,,,,,euclidean,average,272,median,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mse,None,0.5120356089629183,None,0.0,1,4,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-144,one_hot_encoding,minority_coalescer,0.0033650478527174027,median,none,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,True,friedman_mse,None,0.7303174358688075,None,0.0,10,10,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-148,no_encoding,no_coalescense,,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,ard_regression,,,,,0.0005879259823371087,3.410007832100047e-07,True,1.6597956274062097e-05,9.910691609164284e-10,300,2203.910297381356,0.006471761365578467,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-150,no_encoding,no_coalescense,,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mse,None,0.9797793053686011,None,0.0,1,4,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-153,one_hot_encoding,minority_coalescer,0.00013899061331455512,mean,minmax,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.19203734614573903,fdr,f_regression,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.28764734226521,1.5934220315148466e-07,59443.23501615305,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-156,no_encoding,minority_coalescer,0.013018052591541176,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,friedman_mse,None,0.9734334465992716,None,0.0,2,9,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-158,one_hot_encoding,minority_coalescer,0.0001897686484596082,median,robust_scaler,,,0.7768342897092668,0.27222390764426924,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.00025503968621419157,1.161826998793312e-08,80.91415602800988,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-160,one_hot_encoding,no_coalescense,,mean,standardize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,False,,,,,,,,,,,,,ard_regression,,,,,0.0007518973788007592,2.1035374255689506e-10,True,1.9130145173139983e-06,6.539971988038889e-10,300,3146.7808694741443,0.0003708004149981124,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-163,no_encoding,no_coalescense,,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,True,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.283161627129086,7.245332579977274e-08,36.28453043772396,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-168,one_hot_encoding,minority_coalescer,0.001512533360913062,median,none,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.07521950921951931,fwe,f_regression,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,friedman_mse,None,0.7805550079834586,None,0.0,3,20,0.0,,,,,,,,,,,,feature_type
-171,one_hot_encoding,no_coalescense,,mean,quantile_transformer,268,uniform,,,feature_agglomeration,,,,,,,,,,,,,,euclidean,average,107,median,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.42928092501196696,1.4435895787652725e-07,8.108685026706572,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-174,one_hot_encoding,no_coalescense,,most_frequent,none,,,,,fast_ica,,,,,,,,,,deflation,exp,671,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,ard_regression,,,,,4.124442820298477e-05,1.161663644436331e-06,True,1.5236144126449076e-09,0.00046882633285888015,300,86828.75337540788,0.0010379122151177183,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-176,one_hot_encoding,minority_coalescer,0.019566163649872924,most_frequent,robust_scaler,,,0.7200608810425068,0.22968043330398744,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.18539282936320728,fwe,f_regression,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mae,None,0.9029989558220115,None,0.0,1,2,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-179,no_encoding,no_coalescense,,most_frequent,normalize,,,,,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,91.55750915031366,mutual_info,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,True,friedman_mse,None,0.24739007040418165,None,0.0,4,17,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-182,one_hot_encoding,no_coalescense,,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,valid,0.013442521728157596,0.15308825058123207,least_squares,255,None,26,6,20,loss,1e-07,0.08504769517258337,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-184,no_encoding,no_coalescense,,mean,normalize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,True,,,,,,,,,,,,,ard_regression,,,,,6.074038958967586e-05,4.934531533509717e-07,True,0.00034504048920015604,1.4861857758465898e-06,300,1995.6088649916076,0.0033943514455527686,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-186,no_encoding,minority_coalescer,0.010515112787842862,most_frequent,quantile_transformer,583,uniform,,,feature_agglomeration,,,,,,,,,,,,,,euclidean,average,5,mean,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.00015169626319121407,0.0006853872700383563,80227.86048666916,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-191,one_hot_encoding,minority_coalescer,0.039520728280417826,mean,minmax,,,,,kitchen_sinks,,,,,,,,,,,,,,,,,,,,,,,5.288249085278679,4176,,,,,,,,,,,,,,,,,,,,,,,liblinear_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,224.245634141281,False,0.009173958659191201,True,1,squared_epsilon_insensitive,1.9920161216131034e-05,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-193,no_encoding,no_coalescense,,mean,robust_scaler,,,0.7550402508982338,0.24842410508333093,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,True,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,6.238367840293606e-10,0.026111542610815466,least_squares,255,None,177,37,18,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-197,one_hot_encoding,minority_coalescer,0.009368863843266871,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.02846835702208294,1.2011941574832026e-06,67511.87095482116,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-199,no_encoding,minority_coalescer,0.44467269258042313,most_frequent,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,6.676910625638355e-09,0.052530803029130685,least_squares,255,None,31,20,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-201,one_hot_encoding,minority_coalescer,0.0022298554040543614,most_frequent,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,1.3053128884667706e-10,0.05594167483605857,least_squares,255,None,85,10,4,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-204,no_encoding,minority_coalescer,0.22734310669224594,most_frequent,robust_scaler,,,0.9761574925741068,0.2928944546265386,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.04882039966006706,fdr,f_regression,extra_trees,,,,,,,,,,,,,,,,,,,,,False,friedman_mse,None,0.9982746726091221,None,0.0,4,2,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-207,one_hot_encoding,minority_coalescer,0.010000000000000004,mean,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,True,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,6.085630700044881e-10,0.12392806728650493,least_squares,255,None,31,25,7,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-211,no_encoding,no_coalescense,,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,180.22479438529933,,4,0.0012571604901280202,0.10272820821863678,rbf,-1,False,0.02945259690926852,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-214,one_hot_encoding,no_coalescense,,most_frequent,standardize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,True,,,,,,,,,,,,,sgd,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.00038839431353936653,False,,0.0007930509929393179,True,0.61724426807128,constant,squared_loss,elasticnet,,1.285973891441802e-05,feature_type
-217,one_hot_encoding,minority_coalescer,0.00013426375251483367,mean,quantile_transformer,1000,normal,,,extra_trees_preproc_for_regression,False,mae,None,0.9485456391530016,None,2,11,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,mae,None,1.0,None,0.0,1,5,0.0,,,,,,,,,,,,feature_type
-221,one_hot_encoding,minority_coalescer,0.009016977995123954,most_frequent,standardize,,,,,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,94.50207398648911,f_regression,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,False,mse,None,0.18485496201511814,None,0.0,18,18,0.0,,,,,,,,,,,,feature_type
-224,one_hot_encoding,no_coalescense,,median,quantile_transformer,1016,uniform,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.3992671482410072,fpr,f_regression,extra_trees,,,,,,,,,,,,,,,,,,,,,True,mse,None,0.2477939208870194,None,0.0,2,4,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-225,one_hot_encoding,minority_coalescer,0.010356286469647443,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,mlp,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,relu,6.108449182457731e-05,auto,0.9,0.999,valid,1e-08,3,0.00027704755935258253,32,101,True,adam,0.0001,0.1,,,,,,,,,,,,,,,,,,,,,feature_type
-228,no_encoding,minority_coalescer,0.0005112414168823774,median,standardize,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.4807408968132736,fdr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,5.775517309881741e-08,0.020024969424259676,least_squares,255,None,156,85,16,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-232,no_encoding,no_coalescense,,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,False,,,,,,,,,,,,,sgd,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.0006517033225329654,False,0.012150149892783745,0.016444224834275295,True,1.7462342366289323e-09,invscaling,epsilon_insensitive,elasticnet,0.21521743568582094,0.002431731981071206,feature_type
-235,one_hot_encoding,minority_coalescer,0.010000000000000004,most_frequent,standardize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.035440248140559884,1.142436233486746e-09,2235.498740920408,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-237,no_encoding,minority_coalescer,0.007741331259480108,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.020932011717701825,7.512295484675918e-08,427.92917011793116,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-240,one_hot_encoding,minority_coalescer,0.010000000000000004,mean,standardize,,,,,extra_trees_preproc_for_regression,True,friedman_mse,None,0.969236220539822,None,1,2,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.013068012551322245,2.979079708104577e-07,50599.0613366392,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-245,one_hot_encoding,minority_coalescer,0.052483220498897844,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.017488165983844263,4.199154538507709e-05,18825.14718012417,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-247,one_hot_encoding,minority_coalescer,0.014192135928954746,median,standardize,,,,,fast_ica,,,,,,,,,,deflation,exp,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1.4272136443763257,0.2694141260648879,2,0.10000000000000006,0.05757315877344016,poly,-1,False,0.0010000000000000002,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-251,no_encoding,no_coalescense,,median,standardize,,,,,extra_trees_preproc_for_regression,True,mae,None,0.7533134853493275,None,1,4,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,0.8025720428105109,0.2759754081799624,least_squares,255,None,18,172,11,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-252,one_hot_encoding,minority_coalescer,0.0001745391328519669,most_frequent,robust_scaler,,,0.8057830372269097,0.24982831110057324,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.3621762718897781,fwe,f_regression,ard_regression,,,,,2.7664515192592053e-05,9.504988116581138e-07,True,6.50650698230178e-09,4.238533890074848e-07,300,78251.58542976103,0.0007301343236220855,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-257,one_hot_encoding,minority_coalescer,0.0216783950539192,mean,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,0.00010889929093369623,0.013461560146088193,least_squares,255,None,922,78,19,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-258,no_encoding,minority_coalescer,0.06944124485705933,median,robust_scaler,,,0.9459191670017113,0.19705568051981365,feature_agglomeration,,,,,,,,,,,,,,euclidean,ward,25,median,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,ard_regression,,,,,1.3451538602739027e-05,9.646408445137836e-08,True,2.5198380744059647e-07,3.03274213695262e-10,300,1212.6400146193068,0.0014720713972345503,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-262,no_encoding,minority_coalescer,0.0017516626568532072,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.09414230179794553,1.3692618062770113e-09,15642.37580197983,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-266,no_encoding,minority_coalescer,0.0002660105205394136,median,none,,,,,fast_ica,,,,,,,,,,deflation,logcosh,977,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,liblinear_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.1637099972824213,False,0.5342957861386396,True,1,squared_epsilon_insensitive,0.00011557548242116838,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-268,no_encoding,minority_coalescer,0.019298178366706394,mean,minmax,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,decision_tree,,,,,,,,,,,,,mae,0.2781806943014362,1.0,None,0.0,17,7,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-270,one_hot_encoding,no_coalescense,,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.037731974209709904,5.002213042554931e-07,22409.945864393645,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-274,one_hot_encoding,minority_coalescer,0.0002682359625135144,mean,quantile_transformer,1567,uniform,,,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,85.70259306141033,f_regression,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,6.536723381440492e-05,0.03940103065495631,least_squares,255,None,77,9,7,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-276,one_hot_encoding,no_coalescense,,median,minmax,,,,,pca,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.991729015298316,True,,,,,,,,,,,,,,,,adaboost,0.019011223549222432,linear,9,395,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-279,no_encoding,minority_coalescer,0.4873131661139947,mean,standardize,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.43441750135120694,fpr,f_regression,k_nearest_neighbors,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,2,distance,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-282,one_hot_encoding,minority_coalescer,0.024334629729258105,most_frequent,standardize,,,,,extra_trees_preproc_for_regression,False,mae,None,0.9280962404032027,None,1,11,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.02341626598167312,1.0753192773067984e-09,30626.12455645968,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
-285,no_encoding,no_coalescense,,mean,minmax,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.2186105871515939,fdr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,0.10377482408306521,0.016255400771699312,least_squares,255,None,65,70,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+idx,data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__,data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__,data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction,data_preprocessor:feature_type:numerical_transformer:imputation:strategy,data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__,data_preprocessor:feature_type:numerical_transformer:rescaling:quantile_transformer:n_quantiles,data_preprocessor:feature_type:numerical_transformer:rescaling:quantile_transformer:output_distribution,data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_max,data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_min,feature_preprocessor:__choice__,feature_preprocessor:extra_trees_preproc_for_regression:bootstrap,feature_preprocessor:extra_trees_preproc_for_regression:criterion,feature_preprocessor:extra_trees_preproc_for_regression:max_depth,feature_preprocessor:extra_trees_preproc_for_regression:max_features,feature_preprocessor:extra_trees_preproc_for_regression:max_leaf_nodes,feature_preprocessor:extra_trees_preproc_for_regression:min_samples_leaf,feature_preprocessor:extra_trees_preproc_for_regression:min_samples_split,feature_preprocessor:extra_trees_preproc_for_regression:min_weight_fraction_leaf,feature_preprocessor:extra_trees_preproc_for_regression:n_estimators,feature_preprocessor:fast_ica:algorithm,feature_preprocessor:fast_ica:fun,feature_preprocessor:fast_ica:n_components,feature_preprocessor:fast_ica:whiten,feature_preprocessor:feature_agglomeration:affinity,feature_preprocessor:feature_agglomeration:linkage,feature_preprocessor:feature_agglomeration:n_clusters,feature_preprocessor:feature_agglomeration:pooling_func,feature_preprocessor:kernel_pca:coef0,feature_preprocessor:kernel_pca:degree,feature_preprocessor:kernel_pca:gamma,feature_preprocessor:kernel_pca:kernel,feature_preprocessor:kernel_pca:n_components,feature_preprocessor:kitchen_sinks:gamma,feature_preprocessor:kitchen_sinks:n_components,feature_preprocessor:nystroem_sampler:coef0,feature_preprocessor:nystroem_sampler:degree,feature_preprocessor:nystroem_sampler:gamma,feature_preprocessor:nystroem_sampler:kernel,feature_preprocessor:nystroem_sampler:n_components,feature_preprocessor:pca:keep_variance,feature_preprocessor:pca:whiten,feature_preprocessor:polynomial:degree,feature_preprocessor:polynomial:include_bias,feature_preprocessor:polynomial:interaction_only,feature_preprocessor:random_trees_embedding:bootstrap,feature_preprocessor:random_trees_embedding:max_depth,feature_preprocessor:random_trees_embedding:max_leaf_nodes,feature_preprocessor:random_trees_embedding:min_samples_leaf,feature_preprocessor:random_trees_embedding:min_samples_split,feature_preprocessor:random_trees_embedding:min_weight_fraction_leaf,feature_preprocessor:random_trees_embedding:n_estimators,feature_preprocessor:select_percentile_regression:percentile,feature_preprocessor:select_percentile_regression:score_func,feature_preprocessor:select_rates_regression:alpha,feature_preprocessor:select_rates_regression:mode,feature_preprocessor:select_rates_regression:score_func,regressor:__choice__,regressor:adaboost:learning_rate,regressor:adaboost:loss,regressor:adaboost:max_depth,regressor:adaboost:n_estimators,regressor:ard_regression:alpha_1,regressor:ard_regression:alpha_2,regressor:ard_regression:fit_intercept,regressor:ard_regression:lambda_1,regressor:ard_regression:lambda_2,regressor:ard_regression:n_iter,regressor:ard_regression:threshold_lambda,regressor:ard_regression:tol,regressor:decision_tree:criterion,regressor:decision_tree:max_depth_factor,regressor:decision_tree:max_features,regressor:decision_tree:max_leaf_nodes,regressor:decision_tree:min_impurity_decrease,regressor:decision_tree:min_samples_leaf,regressor:decision_tree:min_samples_split,regressor:decision_tree:min_weight_fraction_leaf,regressor:extra_trees:bootstrap,regressor:extra_trees:criterion,regressor:extra_trees:max_depth,regressor:extra_trees:max_features,regressor:extra_trees:max_leaf_nodes,regressor:extra_trees:min_impurity_decrease,regressor:extra_trees:min_samples_leaf,regressor:extra_trees:min_samples_split,regressor:extra_trees:min_weight_fraction_leaf,regressor:gaussian_process:alpha,regressor:gaussian_process:thetaL,regressor:gaussian_process:thetaU,regressor:gradient_boosting:early_stop,regressor:gradient_boosting:l2_regularization,regressor:gradient_boosting:learning_rate,regressor:gradient_boosting:loss,regressor:gradient_boosting:max_bins,regressor:gradient_boosting:max_depth,regressor:gradient_boosting:max_leaf_nodes,regressor:gradient_boosting:min_samples_leaf,regressor:gradient_boosting:n_iter_no_change,regressor:gradient_boosting:scoring,regressor:gradient_boosting:tol,regressor:gradient_boosting:validation_fraction,regressor:k_nearest_neighbors:n_neighbors,regressor:k_nearest_neighbors:p,regressor:k_nearest_neighbors:weights,regressor:liblinear_svr:C,regressor:liblinear_svr:dual,regressor:liblinear_svr:epsilon,regressor:liblinear_svr:fit_intercept,regressor:liblinear_svr:intercept_scaling,regressor:liblinear_svr:loss,regressor:liblinear_svr:tol,regressor:libsvm_svr:C,regressor:libsvm_svr:coef0,regressor:libsvm_svr:degree,regressor:libsvm_svr:epsilon,regressor:libsvm_svr:gamma,regressor:libsvm_svr:kernel,regressor:libsvm_svr:max_iter,regressor:libsvm_svr:shrinking,regressor:libsvm_svr:tol,regressor:mlp:activation,regressor:mlp:alpha,regressor:mlp:batch_size,regressor:mlp:beta_1,regressor:mlp:beta_2,regressor:mlp:early_stopping,regressor:mlp:epsilon,regressor:mlp:hidden_layer_depth,regressor:mlp:learning_rate_init,regressor:mlp:n_iter_no_change,regressor:mlp:num_nodes_per_layer,regressor:mlp:shuffle,regressor:mlp:solver,regressor:mlp:tol,regressor:mlp:validation_fraction,regressor:random_forest:bootstrap,regressor:random_forest:criterion,regressor:random_forest:max_depth,regressor:random_forest:max_features,regressor:random_forest:max_leaf_nodes,regressor:random_forest:min_impurity_decrease,regressor:random_forest:min_samples_leaf,regressor:random_forest:min_samples_split,regressor:random_forest:min_weight_fraction_leaf,regressor:sgd:alpha,regressor:sgd:average,regressor:sgd:epsilon,regressor:sgd:eta0,regressor:sgd:fit_intercept,regressor:sgd:l1_ratio,regressor:sgd:learning_rate,regressor:sgd:loss,regressor:sgd:penalty,regressor:sgd:power_t,regressor:sgd:tol,data_preprocessor:__choice__
+2,no_encoding,no_coalescense,,most_frequent,standardize,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.1,fpr,f_regression,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.019645201003537352,1.1170068633409441e-07,130.632960269528,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+6,one_hot_encoding,minority_coalescer,0.000400759453878678,mean,minmax,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.09988990258830989,fpr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,3.0002886744200357e-06,0.015673535665067875,least_squares,255,None,7,23,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+7,one_hot_encoding,no_coalescense,,most_frequent,quantile_transformer,809,uniform,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,True,,,,,,,,,,,,,sgd,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.01806079811541296,False,,0.015540128437738566,True,0.9326390049807726,constant,squared_loss,elasticnet,,0.00010576654619459039,feature_type
+10,one_hot_encoding,minority_coalescer,0.00010349207190621693,mean,quantile_transformer,229,normal,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.055967923991199715,1.8694491708470566e-10,1.8954846844548174,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+13,one_hot_encoding,no_coalescense,,mean,standardize,,,,,extra_trees_preproc_for_regression,False,mse,None,0.7631509999921062,None,2,2,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,mlp,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,relu,6.037842605388564e-07,auto,0.9,0.999,valid,1e-08,3,0.0001120732057918536,32,100,True,adam,0.0001,0.1,,,,,,,,,,,,,,,,,,,,,feature_type
+17,one_hot_encoding,minority_coalescer,0.010250361463446604,mean,minmax,,,,,fast_ica,,,,,,,,,,parallel,exp,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,194.03096694114694,,,0.0010214279074797082,0.20113065159176252,rbf,-1,True,0.0206281932709369,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+19,one_hot_encoding,minority_coalescer,0.0013057623156653984,median,robust_scaler,,,0.7384386306109247,0.13619830011156256,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,47.935402876904554,f_regression,,,,sgd,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3.1920798638358104e-06,True,0.1,2.5662550861454332e-06,True,,invscaling,squared_epsilon_insensitive,l2,0.16443692558514034,7.823786229838958e-05,feature_type
+23,no_encoding,no_coalescense,,mean,quantile_transformer,626,uniform,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.1441108530403702,3.669712858764878e-08,63.38119089797623,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+26,no_encoding,no_coalescense,,mean,robust_scaler,,,0.7194207293244546,0.25,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,False,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,1e-10,0.04073473488071534,least_squares,255,None,22,4,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+28,no_encoding,minority_coalescer,0.00397868572473159,mean,robust_scaler,,,0.7840854273341944,0.11376189722146844,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,k_nearest_neighbors,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,20,2,distance,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+31,no_encoding,minority_coalescer,0.00014899709205673406,most_frequent,robust_scaler,,,0.8498515960462831,0.2493877412289307,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,53.074440365115905,mutual_info,,,,ard_regression,,,,,2.7664515192592053e-05,9.504988116581138e-07,True,4.184987756432487e-09,4.238533890074848e-07,300,78251.58542976103,0.0006951835906397672,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+34,one_hot_encoding,no_coalescense,,most_frequent,quantile_transformer,952,uniform,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,1.8428972335335263e-10,0.012607824914758717,least_squares,255,None,10,8,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+39,no_encoding,minority_coalescer,0.013069046428333956,mean,quantile_transformer,1389,normal,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,mse,None,0.7517792740390704,None,0.0,6,2,0.0,,,,,,,,,,,,feature_type
+40,no_encoding,minority_coalescer,0.032459358237118964,mean,quantile_transformer,245,normal,,,fast_ica,,,,,,,,,,parallel,exp,1538,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.010616529299999268,3.3168147703951036e-07,4.182958258383621,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+43,no_encoding,no_coalescense,,mean,standardize,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.034904198000955684,fdr,f_regression,liblinear_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,35.012615180923554,False,0.7326132441316412,True,1,squared_epsilon_insensitive,0.00012982617662684841,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+48,no_encoding,minority_coalescer,0.007285175031750927,most_frequent,standardize,,,,,kernel_pca,,,,,,,,,,,,,,,,,,,,0.3892888368591911,rbf,1205,,,,,,,,,,,,,,,,,,,,,,,,,liblinear_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,527.2805278622302,False,0.0023914129516101872,True,1,squared_epsilon_insensitive,3.308026672204565e-05,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+50,one_hot_encoding,minority_coalescer,0.01047631022335275,median,minmax,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,True,mse,None,0.5535883939348928,None,0.0,2,16,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+54,one_hot_encoding,minority_coalescer,0.06501698406855842,most_frequent,standardize,,,,,fast_ica,,,,,,,,,,parallel,cube,184,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.06138907077602462,2.1193402649051655e-10,10.458248457966066,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+57,one_hot_encoding,minority_coalescer,0.0010413452644415357,mean,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,False,mae,None,0.6277363920171745,None,0.0,6,15,0.0,,,,,,,,,,,,feature_type
+58,one_hot_encoding,no_coalescense,,median,standardize,,,,,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,22.538520410186127,f_regression,,,,liblinear_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.036388789196735646,False,0.0012739627397164333,True,1,squared_epsilon_insensitive,0.020180468804448126,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+63,no_encoding,no_coalescense,,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,True,mse,None,0.9615263480351033,None,0.0,1,2,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+66,no_encoding,minority_coalescer,0.00016754269505428354,median,quantile_transformer,170,uniform,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mse,None,0.6962692885049272,None,0.0,17,17,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+67,no_encoding,no_coalescense,,median,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,valid,0.0018018055158809108,0.05048450688348591,least_squares,255,None,3,1,19,loss,1e-07,0.19819612428903174,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+70,no_encoding,minority_coalescer,0.015521269213050653,mean,quantile_transformer,472,normal,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,False,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,mse,None,0.1509528252746419,None,0.0,17,2,0.0,,,,,,,,,,,,feature_type
+73,no_encoding,minority_coalescer,0.010000000000000004,mean,none,,,,,feature_agglomeration,,,,,,,,,,,,,,manhattan,average,26,max,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.051300886003085196,0.00012664987999260594,4.670733780898565,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+77,no_encoding,minority_coalescer,0.28144748021848814,mean,robust_scaler,,,0.8771493204875395,0.13693823573634356,fast_ica,,,,,,,,,,deflation,cube,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,friedman_mse,None,1.0,None,0.0,1,2,0.0,,,,,,,,,,,,feature_type
+79,no_encoding,minority_coalescer,0.042366198588653134,most_frequent,minmax,,,,,fast_ica,,,,,,,,,,deflation,logcosh,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,7277.320824640944,,,0.0013490872095510865,0.03233188643981015,rbf,-1,True,0.0034607903098849255,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+82,no_encoding,minority_coalescer,0.05607310321489163,mean,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,28831.968873651404,0.39386733846748023,3,0.12370783564202235,0.0026233747431769617,poly,-1,True,4.714268123196739e-05,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+86,one_hot_encoding,no_coalescense,,most_frequent,standardize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,ard_regression,,,,,0.0003701926442639788,2.2118001735899097e-07,True,1.2037591637980971e-06,4.358378124977852e-09,300,1136.5286041327277,0.021944240404849075,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+89,one_hot_encoding,minority_coalescer,0.0011912229897445134,mean,standardize,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,0.005746611563553693,0.0913971028976721,least_squares,255,None,9,2,20,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+92,no_encoding,no_coalescense,,most_frequent,standardize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,True,,,,,,,,,,,,,mlp,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,tanh,0.00023501461451248853,auto,0.9,0.999,train,1e-08,1,0.00014972142082858664,32,234,True,adam,0.0001,,,,,,,,,,,,,,,,,,,,,,feature_type
+95,one_hot_encoding,minority_coalescer,0.010000000000000004,median,robust_scaler,,,0.7912621507143142,0.2637968890661204,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,5.997418027353535e-10,0.12286466971783992,least_squares,255,None,26,8,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+98,no_encoding,no_coalescense,,mean,robust_scaler,,,0.7010465420634562,0.19032833128592427,feature_agglomeration,,,,,,,,,,,,,,euclidean,ward,31,max,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,friedman_mse,None,0.7612289466695656,None,0.0,1,2,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+101,one_hot_encoding,no_coalescense,,median,robust_scaler,,,0.7548820011150241,0.02964869664953053,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,valid,3.1008789875481045e-10,0.9742767231340886,least_squares,255,None,76,8,10,loss,1e-07,0.08508571055472691,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+102,no_encoding,minority_coalescer,0.00829519231049576,mean,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,ard_regression,,,,,4.7044575285722365e-05,0.000629863807127318,True,7.584067704707025e-10,3.923255608410879e-08,300,4052.403778957396,0.009359388994186051,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+105,one_hot_encoding,no_coalescense,,median,none,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.4686252124441843,fpr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,valid,0.0038606936054114,0.020266625124044115,least_squares,255,None,458,158,18,loss,1e-07,0.27775972890692574,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+107,no_encoding,no_coalescense,,mean,robust_scaler,,,0.7727512096172742,0.22461598115758682,feature_agglomeration,,,,,,,,,,,,,,manhattan,complete,21,max,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,2.208787572338781e-05,0.036087332404571744,least_squares,255,None,64,3,18,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+110,no_encoding,minority_coalescer,0.0006869013905922761,mean,quantile_transformer,1352,normal,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.07357548990881542,fpr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,3.20414911914726e-10,0.1279702444496931,least_squares,255,None,63,19,8,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+115,no_encoding,no_coalescense,,mean,normalize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,ard_regression,,,,,0.0007694645303288904,6.907464089785431e-06,True,5.725240603355948e-06,2.2747405613470773e-05,300,58747.57814168738,5.818442213575333e-05,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+117,no_encoding,no_coalescense,,most_frequent,none,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.2031136218970144,,,0.340528001967228,,linear,-1,False,4.070347915643521e-05,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+119,no_encoding,minority_coalescer,0.0024824409953506307,most_frequent,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,True,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,friedman_mse,None,0.8276036843429629,None,0.0,5,13,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+124,one_hot_encoding,no_coalescense,,median,quantile_transformer,1779,normal,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,4.957506578736309e-07,0.05200721900508807,least_squares,255,None,4,2,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+126,no_encoding,minority_coalescer,0.010222641912650656,median,quantile_transformer,1092,uniform,,,feature_agglomeration,,,,,,,,,,,,,,euclidean,ward,59,mean,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,adaboost,0.010571278032840276,linear,10,116,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+128,one_hot_encoding,no_coalescense,,most_frequent,quantile_transformer,1040,uniform,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,1.27381234568573e-07,0.02758260805263155,least_squares,255,None,57,5,1,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+132,one_hot_encoding,minority_coalescer,0.0001745391328519669,most_frequent,robust_scaler,,,0.8057830372269097,0.24982831110057324,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.3621762718897781,fwe,f_regression,ard_regression,,,,,2.7664515192592053e-05,9.504988116581138e-07,True,6.50650698230178e-09,4.238533890074848e-07,300,78251.58542976103,0.0007301343236220855,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+136,one_hot_encoding,minority_coalescer,0.008225465238838799,most_frequent,quantile_transformer,709,uniform,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2.1305589487469477e-06,0.0002524679984945707,57.09316986719562,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+138,no_encoding,minority_coalescer,0.018981164720696175,median,minmax,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.03175182874113965,0.00030344963288406407,64164.586360277535,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+140,no_encoding,no_coalescense,,median,minmax,,,,,feature_agglomeration,,,,,,,,,,,,,,euclidean,average,272,median,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mse,None,0.5120356089629183,None,0.0,1,4,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+144,one_hot_encoding,minority_coalescer,0.0033650478527174027,median,none,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,True,friedman_mse,None,0.7303174358688075,None,0.0,10,10,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+148,no_encoding,no_coalescense,,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,ard_regression,,,,,0.0005879259823371087,3.410007832100047e-07,True,1.6597956274062097e-05,9.910691609164284e-10,300,2203.910297381356,0.006471761365578467,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+150,no_encoding,no_coalescense,,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mse,None,0.9797793053686011,None,0.0,1,4,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+153,one_hot_encoding,minority_coalescer,0.00013899061331455512,mean,minmax,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.19203734614573903,fdr,f_regression,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.28764734226521,1.5934220315148466e-07,59443.23501615305,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+156,no_encoding,minority_coalescer,0.013018052591541176,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,False,friedman_mse,None,0.9734334465992716,None,0.0,2,9,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+158,one_hot_encoding,minority_coalescer,0.0001897686484596082,median,robust_scaler,,,0.7768342897092668,0.27222390764426924,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.00025503968621419157,1.161826998793312e-08,80.91415602800988,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+160,one_hot_encoding,no_coalescense,,mean,standardize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,False,,,,,,,,,,,,,ard_regression,,,,,0.0007518973788007592,2.1035374255689506e-10,True,1.9130145173139983e-06,6.539971988038889e-10,300,3146.7808694741443,0.0003708004149981124,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+163,no_encoding,no_coalescense,,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,True,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.283161627129086,7.245332579977274e-08,36.28453043772396,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+168,one_hot_encoding,minority_coalescer,0.001512533360913062,median,none,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.07521950921951931,fwe,f_regression,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,friedman_mse,None,0.7805550079834586,None,0.0,3,20,0.0,,,,,,,,,,,,feature_type
+171,one_hot_encoding,no_coalescense,,mean,quantile_transformer,268,uniform,,,feature_agglomeration,,,,,,,,,,,,,,euclidean,average,107,median,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.42928092501196696,1.4435895787652725e-07,8.108685026706572,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+174,one_hot_encoding,no_coalescense,,most_frequent,none,,,,,fast_ica,,,,,,,,,,deflation,exp,671,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,ard_regression,,,,,4.124442820298477e-05,1.161663644436331e-06,True,1.5236144126449076e-09,0.00046882633285888015,300,86828.75337540788,0.0010379122151177183,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+176,one_hot_encoding,minority_coalescer,0.019566163649872924,most_frequent,robust_scaler,,,0.7200608810425068,0.22968043330398744,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.18539282936320728,fwe,f_regression,extra_trees,,,,,,,,,,,,,,,,,,,,,False,mae,None,0.9029989558220115,None,0.0,1,2,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+179,no_encoding,no_coalescense,,most_frequent,normalize,,,,,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,91.55750915031366,mutual_info,,,,extra_trees,,,,,,,,,,,,,,,,,,,,,True,friedman_mse,None,0.24739007040418165,None,0.0,4,17,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+182,one_hot_encoding,no_coalescense,,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,valid,0.013442521728157596,0.15308825058123207,least_squares,255,None,26,6,20,loss,1e-07,0.08504769517258337,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+184,no_encoding,no_coalescense,,mean,normalize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,True,,,,,,,,,,,,,ard_regression,,,,,6.074038958967586e-05,4.934531533509717e-07,True,0.00034504048920015604,1.4861857758465898e-06,300,1995.6088649916076,0.0033943514455527686,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+186,no_encoding,minority_coalescer,0.010515112787842862,most_frequent,quantile_transformer,583,uniform,,,feature_agglomeration,,,,,,,,,,,,,,euclidean,average,5,mean,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.00015169626319121407,0.0006853872700383563,80227.86048666916,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+191,one_hot_encoding,minority_coalescer,0.039520728280417826,mean,minmax,,,,,kitchen_sinks,,,,,,,,,,,,,,,,,,,,,,,5.288249085278679,4176,,,,,,,,,,,,,,,,,,,,,,,liblinear_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,224.245634141281,False,0.009173958659191201,True,1,squared_epsilon_insensitive,1.9920161216131034e-05,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+193,no_encoding,no_coalescense,,mean,robust_scaler,,,0.7550402508982338,0.24842410508333093,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,True,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,6.238367840293606e-10,0.026111542610815466,least_squares,255,None,177,37,18,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+197,one_hot_encoding,minority_coalescer,0.009368863843266871,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.02846835702208294,1.2011941574832026e-06,67511.87095482116,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+199,no_encoding,minority_coalescer,0.44467269258042313,most_frequent,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,6.676910625638355e-09,0.052530803029130685,least_squares,255,None,31,20,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+201,one_hot_encoding,minority_coalescer,0.0022298554040543614,most_frequent,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,1.3053128884667706e-10,0.05594167483605857,least_squares,255,None,85,10,4,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+204,no_encoding,minority_coalescer,0.22734310669224594,most_frequent,robust_scaler,,,0.9761574925741068,0.2928944546265386,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.04882039966006706,fdr,f_regression,extra_trees,,,,,,,,,,,,,,,,,,,,,False,friedman_mse,None,0.9982746726091221,None,0.0,4,2,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+207,one_hot_encoding,minority_coalescer,0.010000000000000004,mean,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,True,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,6.085630700044881e-10,0.12392806728650493,least_squares,255,None,31,25,7,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+211,no_encoding,no_coalescense,,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,180.22479438529933,,,0.0012571604901280202,0.10272820821863678,rbf,-1,False,0.02945259690926852,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+214,one_hot_encoding,no_coalescense,,most_frequent,standardize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,True,True,,,,,,,,,,,,,sgd,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.00038839431353936653,False,,0.0007930509929393179,True,0.61724426807128,constant,squared_loss,elasticnet,,1.285973891441802e-05,feature_type
+217,one_hot_encoding,minority_coalescer,0.00013426375251483367,mean,quantile_transformer,1000,normal,,,extra_trees_preproc_for_regression,False,mae,None,0.9485456391530016,None,2,11,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,mae,None,1.0,None,0.0,1,5,0.0,,,,,,,,,,,,feature_type
+221,one_hot_encoding,minority_coalescer,0.009016977995123954,most_frequent,standardize,,,,,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,94.50207398648911,f_regression,,,,random_forest,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,False,mse,None,0.18485496201511814,None,0.0,18,18,0.0,,,,,,,,,,,,feature_type
+224,one_hot_encoding,no_coalescense,,median,quantile_transformer,1016,uniform,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.3992671482410072,fpr,f_regression,extra_trees,,,,,,,,,,,,,,,,,,,,,True,mse,None,0.2477939208870194,None,0.0,2,4,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+225,one_hot_encoding,minority_coalescer,0.010356286469647443,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,True,,,,,,,,,,,,,mlp,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,relu,6.108449182457731e-05,auto,0.9,0.999,valid,1e-08,3,0.00027704755935258253,32,101,True,adam,0.0001,0.1,,,,,,,,,,,,,,,,,,,,,feature_type
+228,no_encoding,minority_coalescer,0.0005112414168823774,median,standardize,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.4807408968132736,fdr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,5.775517309881741e-08,0.020024969424259676,least_squares,255,None,156,85,16,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+232,no_encoding,no_coalescense,,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,False,False,,,,,,,,,,,,,sgd,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.0006517033225329654,False,0.012150149892783745,0.016444224834275295,True,1.7462342366289323e-09,invscaling,epsilon_insensitive,elasticnet,0.21521743568582094,0.002431731981071206,feature_type
+235,one_hot_encoding,minority_coalescer,0.010000000000000004,most_frequent,standardize,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.035440248140559884,1.142436233486746e-09,2235.498740920408,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+237,no_encoding,minority_coalescer,0.007741331259480108,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.020932011717701825,7.512295484675918e-08,427.92917011793116,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+240,one_hot_encoding,minority_coalescer,0.010000000000000004,mean,standardize,,,,,extra_trees_preproc_for_regression,True,friedman_mse,None,0.969236220539822,None,1,2,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.013068012551322245,2.979079708104577e-07,50599.0613366392,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+245,one_hot_encoding,minority_coalescer,0.052483220498897844,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.017488165983844263,4.199154538507709e-05,18825.14718012417,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+247,one_hot_encoding,minority_coalescer,0.014192135928954746,median,standardize,,,,,fast_ica,,,,,,,,,,deflation,exp,,False,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,libsvm_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1.4272136443763257,0.2694141260648879,2,0.10000000000000006,0.05757315877344016,poly,-1,False,0.0010000000000000002,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+251,no_encoding,no_coalescense,,median,standardize,,,,,extra_trees_preproc_for_regression,True,mae,None,0.7533134853493275,None,1,4,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,0.8025720428105109,0.2759754081799624,least_squares,255,None,18,172,11,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+252,one_hot_encoding,minority_coalescer,0.0001745391328519669,most_frequent,robust_scaler,,,0.8057830372269097,0.24982831110057324,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.3621762718897781,fwe,f_regression,ard_regression,,,,,2.7664515192592053e-05,9.504988116581138e-07,True,6.50650698230178e-09,4.238533890074848e-07,300,78251.58542976103,0.0007301343236220855,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+257,one_hot_encoding,minority_coalescer,0.0216783950539192,mean,none,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,False,False,,,,,,,,,,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,0.00010889929093369623,0.013461560146088193,least_squares,255,None,922,78,19,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+258,no_encoding,minority_coalescer,0.06944124485705933,median,robust_scaler,,,0.9459191670017113,0.19705568051981365,feature_agglomeration,,,,,,,,,,,,,,euclidean,ward,25,median,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,ard_regression,,,,,1.3451538602739027e-05,9.646408445137836e-08,True,2.5198380744059647e-07,3.03274213695262e-10,300,1212.6400146193068,0.0014720713972345503,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+262,no_encoding,minority_coalescer,0.0017516626568532072,median,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,False,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.09414230179794553,1.3692618062770113e-09,15642.37580197983,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+266,no_encoding,minority_coalescer,0.0002660105205394136,median,none,,,,,fast_ica,,,,,,,,,,deflation,logcosh,977,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,liblinear_svr,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.1637099972824213,False,0.5342957861386396,True,1,squared_epsilon_insensitive,0.00011557548242116838,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+268,no_encoding,minority_coalescer,0.019298178366706394,mean,minmax,,,,,no_preprocessing,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,decision_tree,,,,,,,,,,,,,mae,0.2781806943014362,1.0,None,0.0,17,7,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+270,one_hot_encoding,no_coalescense,,most_frequent,minmax,,,,,polynomial,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,True,True,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.037731974209709904,5.002213042554931e-07,22409.945864393645,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+274,one_hot_encoding,minority_coalescer,0.0002682359625135144,mean,quantile_transformer,1567,uniform,,,select_percentile_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,85.70259306141033,f_regression,,,,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,train,6.536723381440492e-05,0.03940103065495631,least_squares,255,None,77,9,7,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+276,one_hot_encoding,no_coalescense,,median,minmax,,,,,pca,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.991729015298316,True,,,,,,,,,,,,,,,,adaboost,0.019011223549222432,linear,9,395,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+279,no_encoding,minority_coalescer,0.4873131661139947,mean,standardize,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.43441750135120694,fpr,f_regression,k_nearest_neighbors,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,2,distance,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+282,one_hot_encoding,minority_coalescer,0.024334629729258105,most_frequent,standardize,,,,,extra_trees_preproc_for_regression,False,mae,None,0.9280962404032027,None,1,11,0.0,100,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,gaussian_process,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.02341626598167312,1.0753192773067984e-09,30626.12455645968,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
+285,no_encoding,no_coalescense,,mean,minmax,,,,,select_rates_regression,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.2186105871515939,fdr,f_regression,gradient_boosting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,off,0.10377482408306521,0.016255400771699312,least_squares,255,None,65,70,,loss,1e-07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,feature_type
diff --git a/autosklearn/pipeline/components/regression/libsvm_svr.py b/autosklearn/pipeline/components/regression/libsvm_svr.py
index 6be08d87ad..f437c9a683 100644
--- a/autosklearn/pipeline/components/regression/libsvm_svr.py
+++ b/autosklearn/pipeline/components/regression/libsvm_svr.py
@@ -2,7 +2,7 @@
 import sys
 
 from ConfigSpace.configuration_space import ConfigurationSpace
-from ConfigSpace.conditions import InCondition
+from ConfigSpace.conditions import InCondition, EqualsCondition
 from ConfigSpace.hyperparameters import UniformFloatHyperparameter, \
     UniformIntegerHyperparameter, CategoricalHyperparameter, \
     UnParametrizedHyperparameter
@@ -147,13 +147,12 @@ def get_hyperparameter_search_space(dataset_properties=None):
         cs.add_hyperparameters([C, kernel, degree, gamma, coef0, shrinking,
                                tol, max_iter, epsilon])
 
-        degree_depends_on_kernel = InCondition(child=degree, parent=kernel,
-                                               values=('poly', 'rbf', 'sigmoid'))
+        degree_depends_on_poly = EqualsCondition(degree, kernel, "poly")
         gamma_depends_on_kernel = InCondition(child=gamma, parent=kernel,
                                               values=('poly', 'rbf'))
         coef0_depends_on_kernel = InCondition(child=coef0, parent=kernel,
                                               values=('poly', 'sigmoid'))
-        cs.add_conditions([degree_depends_on_kernel, gamma_depends_on_kernel,
+        cs.add_conditions([degree_depends_on_poly, gamma_depends_on_kernel,
                            coef0_depends_on_kernel])
 
         return cs