From 2c7a444193ef3c42f048edd95375c1c2d1e60839 Mon Sep 17 00:00:00 2001 From: Github Actions Date: Wed, 24 Feb 2021 21:23:55 +0000 Subject: [PATCH] Pepe Berba: Add size check before trying to split for GMeans (#732) --- .../examples_python.zip | Bin 90129 -> 90129 bytes .../examples_jupyter.zip | Bin 126019 -> 126019 bytes ...sphx_glr_example_pandas_train_test_001.png | Bin 42238 -> 41560 bytes ...hx_glr_example_pandas_train_test_thumb.png | Bin 35508 -> 35307 bytes .../20_basic/example_classification.rst.txt | 40 +++--- .../example_multilabel_classification.rst.txt | 2 +- .../20_basic/example_regression.rst.txt | 4 +- .../20_basic/sg_execution_times.rst.txt | 8 +- .../example_calc_multiple_metrics.rst.txt | 2 +- .../40_advanced/example_feature_types.rst.txt | 2 +- .../example_get_pipeline_components.rst.txt | 34 ++--- .../40_advanced/example_metrics.rst.txt | 34 ++--- .../example_pandas_train_test.rst.txt | 2 +- .../40_advanced/example_resampling.rst.txt | 2 +- .../40_advanced/sg_execution_times.rst.txt | 14 +- ...ample_parallel_manual_spawning_cli.rst.txt | 12 +- ...le_parallel_manual_spawning_python.rst.txt | 6 +- .../60_search/example_parallel_n_jobs.rst.txt | 8 +- .../60_search/example_random_search.rst.txt | 120 ++++++++-------- .../60_search/example_sequential.rst.txt | 2 +- .../example_successive_halving.rst.txt | 134 ++++-------------- .../60_search/sg_execution_times.rst.txt | 14 +- .../example_extending_classification.rst.txt | 20 ++- .../example_extending_preprocessor.rst.txt | 10 +- .../example_extending_regression.rst.txt | 10 +- ...restrict_number_of_hyperparameters.rst.txt | 2 +- .../80_extending/sg_execution_times.rst.txt | 10 +- .../20_basic/example_classification.html | 40 +++--- .../example_multilabel_classification.html | 2 +- .../examples/20_basic/example_regression.html | 4 +- .../examples/20_basic/sg_execution_times.html | 8 +- .../example_calc_multiple_metrics.html | 2 +- .../40_advanced/example_feature_types.html | 2 +- .../example_get_pipeline_components.html | 34 ++--- .../examples/40_advanced/example_metrics.html | 34 ++--- .../example_pandas_train_test.html | 2 +- .../40_advanced/example_resampling.html | 2 +- .../40_advanced/sg_execution_times.html | 18 +-- .../example_parallel_manual_spawning_cli.html | 12 +- ...ample_parallel_manual_spawning_python.html | 6 +- .../60_search/example_parallel_n_jobs.html | 8 +- .../60_search/example_random_search.html | 120 ++++++++-------- .../60_search/example_sequential.html | 2 +- .../60_search/example_successive_halving.html | 134 ++++-------------- .../60_search/sg_execution_times.html | 14 +- .../example_extending_classification.html | 20 ++- .../example_extending_preprocessor.html | 10 +- .../example_extending_regression.html | 10 +- ...le_restrict_number_of_hyperparameters.html | 2 +- .../80_extending/sg_execution_times.html | 10 +- development/searchindex.js | 2 +- 51 files changed, 415 insertions(+), 575 deletions(-) diff --git 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0.0, 'configuration_origin': 'Initial design'}) + RunValue(cost=0.08510638297872342, time=1.8435535430908203, status=, starttime=1614200311.5242083, endtime=1614200313.3903134, additional_info={'duration': 1.7870872020721436, 'num_run': 2, 'train_loss': 0.0, 'configuration_origin': 'Initial design'}) ######### RunKey(config_id=2, instance_id='{"task_id": "breast_cancer"}', seed=0, budget=0.0) - RunValue(cost=0.07092198581560283, time=1.3192954063415527, status=, starttime=1614200099.281374, endtime=1614200100.6187062, additional_info={'duration': 1.2723724842071533, 'num_run': 3, 'train_loss': 0.06315789473684208, 'configuration_origin': 'Initial design'}) + RunValue(cost=0.07092198581560283, time=1.6207637786865234, status=, starttime=1614200313.4478457, endtime=1614200315.0885968, additional_info={'duration': 1.561046838760376, 'num_run': 3, 'train_loss': 0.06315789473684208, 'configuration_origin': 'Initial design'}) ######### RunKey(config_id=3, instance_id='{"task_id": "breast_cancer"}', seed=0, budget=0.0) - RunValue(cost=0.028368794326241176, time=1.2986373901367188, status=, starttime=1614200100.7023578, endtime=1614200102.020158, additional_info={'duration': 1.2698698043823242, 'num_run': 4, 'train_loss': 0.04210526315789476, 'configuration_origin': 'Initial design'}) + RunValue(cost=0.028368794326241176, time=1.6182870864868164, status=, starttime=1614200315.195403, endtime=1614200316.8338623, additional_info={'duration': 1.5786924362182617, 'num_run': 4, 'train_loss': 0.04210526315789476, 'configuration_origin': 'Initial design'}) ######### RunKey(config_id=4, instance_id='{"task_id": "breast_cancer"}', seed=0, budget=0.0) - RunValue(cost=0.1063829787234043, time=0.5181043148040771, status=, starttime=1614200102.1226707, endtime=1614200102.6591551, additional_info={'duration': 0.49018025398254395, 'num_run': 5, 'train_loss': 0.0, 'configuration_origin': 'Initial design'}) + RunValue(cost=0.1063829787234043, time=0.6055936813354492, status=, starttime=1614200316.959474, endtime=1614200317.584063, additional_info={'duration': 0.5693292617797852, 'num_run': 5, 'train_loss': 0.0, 'configuration_origin': 'Initial design'}) ######### RunKey(config_id=5, instance_id='{"task_id": "breast_cancer"}', seed=0, budget=0.0) - RunValue(cost=0.11347517730496459, time=0.4283101558685303, status=, starttime=1614200102.7768111, endtime=1614200103.2225783, additional_info={'duration': 0.40147924423217773, 'num_run': 6, 'train_loss': 0.09122807017543855, 'configuration_origin': 'Initial design'}) + RunValue(cost=0.11347517730496459, time=0.4995291233062744, status=, starttime=1614200317.729382, endtime=1614200318.247824, additional_info={'duration': 0.4695608615875244, 'num_run': 6, 'train_loss': 0.09122807017543855, 'configuration_origin': 'Initial design'}) ######### RunKey(config_id=6, instance_id='{"task_id": "breast_cancer"}', seed=0, budget=0.0) - RunValue(cost=0.06382978723404253, time=1.1663026809692383, status=, starttime=1614200105.6043441, endtime=1614200106.788883, additional_info={'duration': 1.118058204650879, 'num_run': 7, 'train_loss': 0.06666666666666665, 'configuration_origin': 'Random Search (sorted)'}) + RunValue(cost=0.06382978723404253, time=1.4327051639556885, status=, starttime=1614200321.4201791, endtime=1614200322.8727252, additional_info={'duration': 1.3762950897216797, 'num_run': 7, 'train_loss': 0.06666666666666665, 'configuration_origin': 'Random Search (sorted)'}) ######### RunKey(config_id=7, instance_id='{"task_id": "breast_cancer"}', seed=0, budget=0.0) - RunValue(cost=0.12056737588652477, time=0.6219511032104492, status=, starttime=1614200109.2634275, endtime=1614200109.9036276, additional_info={'duration': 0.597567081451416, 'num_run': 8, 'train_loss': 0.11929824561403513, 'configuration_origin': 'Random Search (sorted)'}) + RunValue(cost=0.12056737588652477, time=0.7547802925109863, status=, starttime=1614200325.8678422, endtime=1614200326.6437945, additional_info={'duration': 0.7238304615020752, 'num_run': 8, 'train_loss': 0.11929824561403513, 'configuration_origin': 'Random Search (sorted)'}) ######### RunKey(config_id=8, instance_id='{"task_id": "breast_cancer"}', seed=0, budget=0.0) - RunValue(cost=0.07092198581560283, time=0.622368574142456, status=, starttime=1614200110.080902, endtime=1614200110.7216692, additional_info={'duration': 0.5989117622375488, 'num_run': 9, 'train_loss': 0.07719298245614037, 'configuration_origin': 'Random Search'}) + RunValue(cost=0.07092198581560283, time=0.6920580863952637, status=, starttime=1614200326.8764231, endtime=1614200327.5869641, additional_info={'duration': 0.6660346984863281, 'num_run': 9, 'train_loss': 0.07719298245614037, 'configuration_origin': 'Random Search'}) ######### RunKey(config_id=9, instance_id='{"task_id": "breast_cancer"}', seed=0, budget=0.0) - RunValue(cost=1.0, time=5.010637044906616, status=, starttime=1614200110.9202907, endtime=1614200116.9502156, additional_info={'error': 'Timeout', 'configuration_origin': 'Random Search'}) + RunValue(cost=1.0, time=1.0065360069274902, status=, starttime=1614200327.8263855, endtime=1614200329.8494387, additional_info={'error': 'Timeout', 'configuration_origin': 'Random Search'}) ######### RunKey(config_id=10, instance_id='{"task_id": "breast_cancer"}', seed=0, budget=0.0) RunValue(cost=2147483647.0, time=0.0, status=, starttime=0.0, endtime=0.0, additional_info=None) @@ -506,11 +506,11 @@ The ``run_value`` contains all output from running the configuration: .. code-block:: none Cost: 0.08510638297872342 - Time: 1.5742390155792236 + Time: 1.8435535430908203 Status: StatusType.SUCCESS - Additional information: {'duration': 1.5250165462493896, 'num_run': 2, 'train_loss': 0.0, 'configuration_origin': 'Initial design'} - Start time: 1614200097.6430755 - End time 1614200099.234657 + Additional information: {'duration': 1.7870872020721436, 'num_run': 2, 'train_loss': 0.0, 'configuration_origin': 'Initial design'} + Start time: 1614200311.5242083 + End time 1614200313.3903134 @@ -618,8 +618,8 @@ model_selection.GridSearchCV.html>`_. .. code-block:: none {'mean_test_score': array([0.91489362, 0.92907801, 0.97163121, 0.89361702, 0.88652482, - 0.93617021, 0.87943262, 0.92907801, 0. ]), 'mean_fit_time': array([1.57423902, 1.31929541, 1.29863739, 0.51810431, 0.42831016, - 1.16630268, 0.6219511 , 0.62236857, 5.01063704]), 'params': [{'balancing:strategy': 'none', 'classifier:__choice__': 'random_forest', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessing:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'standardize', 'feature_preprocessor:__choice__': 'pca', 'classifier:random_forest:bootstrap': 'True', 'classifier:random_forest:criterion': 'gini', 'classifier:random_forest:max_depth': 'None', 'classifier:random_forest:max_features': 0.5, 'classifier:random_forest:max_leaf_nodes': 'None', 'classifier:random_forest:min_impurity_decrease': 0.0, 'classifier:random_forest:min_samples_leaf': 1, 'classifier:random_forest:min_samples_split': 2, 'classifier:random_forest:min_weight_fraction_leaf': 0.0, 'data_preprocessing:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.01, 'feature_preprocessor:pca:keep_variance': 0.9999, 'feature_preprocessor:pca:whiten': 'False'}, {'balancing:strategy': 'none', 'classifier:__choice__': 'random_forest', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessing:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'none', 'feature_preprocessor:__choice__': 'pca', 'classifier:random_forest:bootstrap': 'True', 'classifier:random_forest:criterion': 'gini', 'classifier:random_forest:max_depth': 'None', 'classifier:random_forest:max_features': 0.9331254454871041, 'classifier:random_forest:max_leaf_nodes': 'None', 'classifier:random_forest:min_impurity_decrease': 0.0, 'classifier:random_forest:min_samples_leaf': 2, 'classifier:random_forest:min_samples_split': 20, 'classifier:random_forest:min_weight_fraction_leaf': 0.0, 'data_preprocessing:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.005069923784737444, 'feature_preprocessor:pca:keep_variance': 0.9967857433838874, 'feature_preprocessor:pca:whiten': 'False'}, {'balancing:strategy': 'weighting', 'classifier:__choice__': 'mlp', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessing:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'quantile_transformer', 'feature_preprocessor:__choice__': 'pca', 'classifier:mlp:activation': 'tanh', 'classifier:mlp:alpha': 1.103855734598575e-05, 'classifier:mlp:batch_size': 'auto', 'classifier:mlp:beta_1': 0.9, 'classifier:mlp:beta_2': 0.999, 'classifier:mlp:early_stopping': 'valid', 'classifier:mlp:epsilon': 1e-08, 'classifier:mlp:hidden_layer_depth': 3, 'classifier:mlp:learning_rate_init': 0.00014375616988222174, 'classifier:mlp:n_iter_no_change': 32, 'classifier:mlp:num_nodes_per_layer': 229, 'classifier:mlp:shuffle': 'True', 'classifier:mlp:solver': 'adam', 'classifier:mlp:tol': 0.0001, 'data_preprocessing:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.002766772136115771, 'data_preprocessing:numerical_transformer:rescaling:quantile_transformer:n_quantiles': 180, 'data_preprocessing:numerical_transformer:rescaling:quantile_transformer:output_distribution': 'uniform', 'feature_preprocessor:pca:keep_variance': 0.7895711479212801, 'feature_preprocessor:pca:whiten': 'True', 'classifier:mlp:validation_fraction': 0.1}, {'balancing:strategy': 'weighting', 'classifier:__choice__': 'k_nearest_neighbors', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessing:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'normalize', 'feature_preprocessor:__choice__': 'pca', 'classifier:k_nearest_neighbors:n_neighbors': 4, 'classifier:k_nearest_neighbors:p': 2, 'classifier:k_nearest_neighbors:weights': 'distance', 'data_preprocessing:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.008015420020402715, 'feature_preprocessor:pca:keep_variance': 0.8047274080856589, 'feature_preprocessor:pca:whiten': 'False'}, {'balancing:strategy': 'none', 'classifier:__choice__': 'libsvm_svc', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessing:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'minmax', 'feature_preprocessor:__choice__': 'pca', 'classifier:libsvm_svc:C': 100.5905006626969, 'classifier:libsvm_svc:gamma': 0.011333066835975528, 'classifier:libsvm_svc:kernel': 'poly', 'classifier:libsvm_svc:max_iter': -1, 'classifier:libsvm_svc:shrinking': 'True', 'classifier:libsvm_svc:tol': 0.012391313886912093, 'data_preprocessing:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.010000000000000004, 'feature_preprocessor:pca:keep_variance': 0.9290439925152777, 'feature_preprocessor:pca:whiten': 'False', 'classifier:libsvm_svc:coef0': 0.08087614244138486, 'classifier:libsvm_svc:degree': 3}, {'balancing:strategy': 'none', 'classifier:__choice__': 'random_forest', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessing:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'minmax', 'feature_preprocessor:__choice__': 'pca', 'classifier:random_forest:bootstrap': 'False', 'classifier:random_forest:criterion': 'gini', 'classifier:random_forest:max_depth': 'None', 'classifier:random_forest:max_features': 0.5422582251087723, 'classifier:random_forest:max_leaf_nodes': 'None', 'classifier:random_forest:min_impurity_decrease': 0.0, 'classifier:random_forest:min_samples_leaf': 17, 'classifier:random_forest:min_samples_split': 15, 'classifier:random_forest:min_weight_fraction_leaf': 0.0, 'data_preprocessing:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.0038512976944604285, 'feature_preprocessor:pca:keep_variance': 0.5735718374870298, 'feature_preprocessor:pca:whiten': 'False'}, {'balancing:strategy': 'weighting', 'classifier:__choice__': 'bernoulli_nb', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessing:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'normalize', 'feature_preprocessor:__choice__': 'pca', 'classifier:bernoulli_nb:alpha': 1.649866096986667, 'classifier:bernoulli_nb:fit_prior': 'True', 'feature_preprocessor:pca:keep_variance': 0.6690671698975657, 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'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessing:numerical_transformer:imputation:strategy': 'median', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'quantile_transformer', 'feature_preprocessor:__choice__': 'pca', 'classifier:gradient_boosting:early_stop': 'off', 'classifier:gradient_boosting:l2_regularization': 1.0396875363480713e-08, 'classifier:gradient_boosting:learning_rate': 0.10772429102634291, 'classifier:gradient_boosting:loss': 'auto', 'classifier:gradient_boosting:max_bins': 255, 'classifier:gradient_boosting:max_depth': 'None', 'classifier:gradient_boosting:max_leaf_nodes': 240, 'classifier:gradient_boosting:min_samples_leaf': 1, 'classifier:gradient_boosting:scoring': 'loss', 'classifier:gradient_boosting:tol': 1e-07, 'data_preprocessing:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.010777635603437951, 'data_preprocessing:numerical_transformer:rescaling:quantile_transformer:n_quantiles': 123, 'data_preprocessing:numerical_transformer:rescaling:quantile_transformer:output_distribution': 'uniform', 'feature_preprocessor:pca:keep_variance': 0.546349479974553, 'feature_preprocessor:pca:whiten': 'True'}], 'rank_test_scores': array([5, 3, 1, 6, 7, 2, 8, 3, 9]), 'status': ['Success', 'Success', 'Success', 'Success', 'Success', 'Success', 'Success', 'Success', 'Timeout'], 'budgets': [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], 'param_balancing:strategy': masked_array(data=['none', 'none', 'weighting', 'weighting', 'none', + 0.93617021, 0.87943262, 0.92907801, 0. ]), 'mean_fit_time': array([1.84355354, 1.62076378, 1.61828709, 0.60559368, 0.49952912, + 1.43270516, 0.75478029, 0.69205809, 1.00653601]), 'params': [{'balancing:strategy': 'none', 'classifier:__choice__': 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'classifier:random_forest:min_weight_fraction_leaf': 0.0, 'data_preprocessing:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.005069923784737444, 'feature_preprocessor:pca:keep_variance': 0.9967857433838874, 'feature_preprocessor:pca:whiten': 'False'}, {'balancing:strategy': 'weighting', 'classifier:__choice__': 'mlp', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessing:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'quantile_transformer', 'feature_preprocessor:__choice__': 'pca', 'classifier:mlp:activation': 'tanh', 'classifier:mlp:alpha': 1.103855734598575e-05, 'classifier:mlp:batch_size': 'auto', 'classifier:mlp:beta_1': 0.9, 'classifier:mlp:beta_2': 0.999, 'classifier:mlp:early_stopping': 'valid', 'classifier:mlp:epsilon': 1e-08, 'classifier:mlp:hidden_layer_depth': 3, 'classifier:mlp:learning_rate_init': 0.00014375616988222174, 'classifier:mlp:n_iter_no_change': 32, 'classifier:mlp:num_nodes_per_layer': 229, 'classifier:mlp:shuffle': 'True', 'classifier:mlp:solver': 'adam', 'classifier:mlp:tol': 0.0001, 'data_preprocessing:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.002766772136115771, 'data_preprocessing:numerical_transformer:rescaling:quantile_transformer:n_quantiles': 180, 'data_preprocessing:numerical_transformer:rescaling:quantile_transformer:output_distribution': 'uniform', 'feature_preprocessor:pca:keep_variance': 0.7895711479212801, 'feature_preprocessor:pca:whiten': 'True', 'classifier:mlp:validation_fraction': 0.1}, {'balancing:strategy': 'weighting', 'classifier:__choice__': 'k_nearest_neighbors', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessing:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'normalize', 'feature_preprocessor:__choice__': 'pca', 'classifier:k_nearest_neighbors:n_neighbors': 4, 'classifier:k_nearest_neighbors:p': 2, 'classifier:k_nearest_neighbors:weights': 'distance', 'data_preprocessing:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.008015420020402715, 'feature_preprocessor:pca:keep_variance': 0.8047274080856589, 'feature_preprocessor:pca:whiten': 'False'}, {'balancing:strategy': 'none', 'classifier:__choice__': 'libsvm_svc', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessing:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'minmax', 'feature_preprocessor:__choice__': 'pca', 'classifier:libsvm_svc:C': 100.5905006626969, 'classifier:libsvm_svc:gamma': 0.011333066835975528, 'classifier:libsvm_svc:kernel': 'poly', 'classifier:libsvm_svc:max_iter': -1, 'classifier:libsvm_svc:shrinking': 'True', 'classifier:libsvm_svc:tol': 0.012391313886912093, 'data_preprocessing:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.010000000000000004, 'feature_preprocessor:pca:keep_variance': 0.9290439925152777, 'feature_preprocessor:pca:whiten': 'False', 'classifier:libsvm_svc:coef0': 0.08087614244138486, 'classifier:libsvm_svc:degree': 3}, {'balancing:strategy': 'none', 'classifier:__choice__': 'random_forest', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessing:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'minmax', 'feature_preprocessor:__choice__': 'pca', 'classifier:random_forest:bootstrap': 'False', 'classifier:random_forest:criterion': 'gini', 'classifier:random_forest:max_depth': 'None', 'classifier:random_forest:max_features': 0.5422582251087723, 'classifier:random_forest:max_leaf_nodes': 'None', 'classifier:random_forest:min_impurity_decrease': 0.0, 'classifier:random_forest:min_samples_leaf': 17, 'classifier:random_forest:min_samples_split': 15, 'classifier:random_forest:min_weight_fraction_leaf': 0.0, 'data_preprocessing:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.0038512976944604285, 'feature_preprocessor:pca:keep_variance': 0.5735718374870298, 'feature_preprocessor:pca:whiten': 'False'}, {'balancing:strategy': 'weighting', 'classifier:__choice__': 'bernoulli_nb', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessing:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'normalize', 'feature_preprocessor:__choice__': 'pca', 'classifier:bernoulli_nb:alpha': 1.649866096986667, 'classifier:bernoulli_nb:fit_prior': 'True', 'feature_preprocessor:pca:keep_variance': 0.6690671698975657, 'feature_preprocessor:pca:whiten': 'False'}, {'balancing:strategy': 'weighting', 'classifier:__choice__': 'qda', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessing:numerical_transformer:imputation:strategy': 'median', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'robust_scaler', 'feature_preprocessor:__choice__': 'pca', 'classifier:qda:reg_param': 0.025787528374861868, 'data_preprocessing:numerical_transformer:rescaling:robust_scaler:q_max': 0.9927073373709583, 'data_preprocessing:numerical_transformer:rescaling:robust_scaler:q_min': 0.02540312690097038, 'feature_preprocessor:pca:keep_variance': 0.8695982277529214, 'feature_preprocessor:pca:whiten': 'True'}, {'balancing:strategy': 'weighting', 'classifier:__choice__': 'gradient_boosting', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessing:numerical_transformer:imputation:strategy': 'median', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'quantile_transformer', 'feature_preprocessor:__choice__': 'pca', 'classifier:gradient_boosting:early_stop': 'off', 'classifier:gradient_boosting:l2_regularization': 1.0396875363480713e-08, 'classifier:gradient_boosting:learning_rate': 0.10772429102634291, 'classifier:gradient_boosting:loss': 'auto', 'classifier:gradient_boosting:max_bins': 255, 'classifier:gradient_boosting:max_depth': 'None', 'classifier:gradient_boosting:max_leaf_nodes': 240, 'classifier:gradient_boosting:min_samples_leaf': 1, 'classifier:gradient_boosting:scoring': 'loss', 'classifier:gradient_boosting:tol': 1e-07, 'data_preprocessing:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.010777635603437951, 'data_preprocessing:numerical_transformer:rescaling:quantile_transformer:n_quantiles': 123, 'data_preprocessing:numerical_transformer:rescaling:quantile_transformer:output_distribution': 'uniform', 'feature_preprocessor:pca:keep_variance': 0.546349479974553, 'feature_preprocessor:pca:whiten': 'True'}], 'rank_test_scores': array([5, 3, 1, 6, 7, 2, 8, 3, 9]), 'status': ['Success', 'Success', 'Success', 'Success', 'Success', 'Success', 'Success', 'Success', 'Timeout'], 'budgets': [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], 'param_balancing:strategy': masked_array(data=['none', 'none', 'weighting', 'weighting', 'none', 'none', 'weighting', 'weighting', 'weighting'], mask=[False, False, False, False, False, False, False, False, False], @@ -1111,7 +1111,7 @@ The explained variance ratio per stage .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 29.480 seconds) + **Total running time of the script:** ( 0 minutes 25.007 seconds) .. _sphx_glr_download_examples_40_advanced_example_get_pipeline_components.py: diff --git a/development/_sources/examples/40_advanced/example_metrics.rst.txt b/development/_sources/examples/40_advanced/example_metrics.rst.txt index 6575a528d5..685f614c21 100644 --- a/development/_sources/examples/40_advanced/example_metrics.rst.txt +++ b/development/_sources/examples/40_advanced/example_metrics.rst.txt @@ -277,13 +277,13 @@ Second example: Use own accuracy metric ################################################################################ Use self defined accuracy metric - Accuracy score 0.937063 using accu + Accuracy score 0.944056 using accu ################################################################################ Use self defined error metric - [WARNING] [2021-02-24 21:03:57,227:smac.runhistory.runhistory2epm.RunHistory2EPM4LogCost] Got cost of smaller/equal to 0. Replace by 0.000010 since we use log cost. - [WARNING] [2021-02-24 21:03:58,262:smac.runhistory.runhistory2epm.RunHistory2EPM4LogCost] Got cost of smaller/equal to 0. Replace by 0.000010 since we use log cost. - [WARNING] [2021-02-24 21:03:59,100:smac.runhistory.runhistory2epm.RunHistory2EPM4LogCost] Got cost of smaller/equal to 0. Replace by 0.000010 since we use log cost. - Error rate -0.0629371 using error + [WARNING] [2021-02-24 21:07:44,021:smac.runhistory.runhistory2epm.RunHistory2EPM4LogCost] Got cost of smaller/equal to 0. Replace by 0.000010 since we use log cost. + [WARNING] [2021-02-24 21:07:45,244:smac.runhistory.runhistory2epm.RunHistory2EPM4LogCost] Got cost of smaller/equal to 0. Replace by 0.000010 since we use log cost. + [WARNING] [2021-02-24 21:07:46,226:smac.runhistory.runhistory2epm.RunHistory2EPM4LogCost] Got cost of smaller/equal to 0. Replace by 0.000010 since we use log cost. + Error rate -0.0559441 using error @@ -363,19 +363,19 @@ Third example: Use own accuracy metric with additional argument ################################################################################ Use self defined accuracy with additional argument - Accuracy score 0.937063 using accu_add + Accuracy score 0.944056 using accu_add ################################################################################ Use self defined error with additional argument - [WARNING] [2021-02-24 21:05:09,745:smac.runhistory.runhistory2epm.RunHistory2EPM4LogCost] Got cost of smaller/equal to 0. Replace by 0.000010 since we use log cost. - [WARNING] [2021-02-24 21:05:12,757:smac.runhistory.runhistory2epm.RunHistory2EPM4LogCost] Got cost of smaller/equal to 0. Replace by 0.000010 since we use log cost. - [WARNING] [2021-02-24 21:05:17,308:smac.runhistory.runhistory2epm.RunHistory2EPM4LogCost] Got cost of smaller/equal to 0. Replace by 0.000010 since we use log cost. - [WARNING] [2021-02-24 21:05:18,907:smac.runhistory.runhistory2epm.RunHistory2EPM4LogCost] Got cost of smaller/equal to 0. Replace by 0.000010 since we use log cost. - [WARNING] [2021-02-24 21:05:51,552:smac.runhistory.runhistory2epm.RunHistory2EPM4LogCost] Got cost of smaller/equal to 0. Replace by 0.000010 since we use log cost. - [WARNING] [2021-02-24 21:05:51,553:smac.runhistory.runhistory2epm.RunHistory2EPM4LogCost] Got cost of smaller/equal to 0. Replace by 0.000010 since we use log cost. - [WARNING] [2021-02-24 21:05:52,524:smac.runhistory.runhistory2epm.RunHistory2EPM4LogCost] Got cost of smaller/equal to 0. Replace by 0.000010 since we use log cost. - [WARNING] [2021-02-24 21:05:52,525:smac.runhistory.runhistory2epm.RunHistory2EPM4LogCost] Got cost of smaller/equal to 0. Replace by 0.000010 since we use log cost. - [WARNING] [2021-02-24 21:05:53,294:smac.runhistory.runhistory2epm.RunHistory2EPM4LogCost] Got cost of smaller/equal to 0. Replace by 0.000010 since we use log cost. - [WARNING] [2021-02-24 21:05:53,295:smac.runhistory.runhistory2epm.RunHistory2EPM4LogCost] Got cost of smaller/equal to 0. Replace by 0.000010 since we use log cost. + [WARNING] [2021-02-24 21:08:57,220:smac.runhistory.runhistory2epm.RunHistory2EPM4LogCost] Got cost of smaller/equal to 0. Replace by 0.000010 since we use log cost. + [WARNING] [2021-02-24 21:09:00,867:smac.runhistory.runhistory2epm.RunHistory2EPM4LogCost] Got cost of smaller/equal to 0. Replace by 0.000010 since we use log cost. + [WARNING] [2021-02-24 21:09:05,895:smac.runhistory.runhistory2epm.RunHistory2EPM4LogCost] Got cost of smaller/equal to 0. Replace by 0.000010 since we use log cost. + [WARNING] [2021-02-24 21:09:07,866:smac.runhistory.runhistory2epm.RunHistory2EPM4LogCost] Got cost of smaller/equal to 0. Replace by 0.000010 since we use log cost. + [WARNING] [2021-02-24 21:09:41,064:smac.runhistory.runhistory2epm.RunHistory2EPM4LogCost] Got cost of smaller/equal to 0. Replace by 0.000010 since we use log cost. + [WARNING] [2021-02-24 21:09:41,065:smac.runhistory.runhistory2epm.RunHistory2EPM4LogCost] Got cost of smaller/equal to 0. Replace by 0.000010 since we use log cost. + [WARNING] [2021-02-24 21:09:42,279:smac.runhistory.runhistory2epm.RunHistory2EPM4LogCost] Got cost of smaller/equal to 0. Replace by 0.000010 since we use log cost. + [WARNING] [2021-02-24 21:09:42,279:smac.runhistory.runhistory2epm.RunHistory2EPM4LogCost] Got cost of smaller/equal to 0. Replace by 0.000010 since we use log cost. + [WARNING] [2021-02-24 21:09:43,167:smac.runhistory.runhistory2epm.RunHistory2EPM4LogCost] Got cost of smaller/equal to 0. Replace by 0.000010 since we use log cost. + [WARNING] [2021-02-24 21:09:43,167:smac.runhistory.runhistory2epm.RunHistory2EPM4LogCost] Got cost of smaller/equal to 0. Replace by 0.000010 since we use log cost. Error rate 0.615385 using error_add @@ -384,7 +384,7 @@ Third example: Use own accuracy metric with additional argument .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 4 minutes 39.262 seconds) + **Total running time of the script:** ( 4 minutes 49.418 seconds) .. _sphx_glr_download_examples_40_advanced_example_metrics.py: diff --git a/development/_sources/examples/40_advanced/example_pandas_train_test.rst.txt b/development/_sources/examples/40_advanced/example_pandas_train_test.rst.txt index b4451efa0a..bf836cd4e0 100644 --- a/development/_sources/examples/40_advanced/example_pandas_train_test.rst.txt +++ b/development/_sources/examples/40_advanced/example_pandas_train_test.rst.txt @@ -278,7 +278,7 @@ Plot the ensemble performance .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 2 minutes 1.664 seconds) + **Total running time of the script:** ( 1 minutes 55.878 seconds) .. _sphx_glr_download_examples_40_advanced_example_pandas_train_test.py: diff --git a/development/_sources/examples/40_advanced/example_resampling.rst.txt b/development/_sources/examples/40_advanced/example_resampling.rst.txt index 5fe48967db..c44372f6ed 100644 --- a/development/_sources/examples/40_advanced/example_resampling.rst.txt +++ b/development/_sources/examples/40_advanced/example_resampling.rst.txt @@ -357,7 +357,7 @@ splitting it on the first feature. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 5 minutes 59.337 seconds) + **Total running time of the script:** ( 6 minutes 6.687 seconds) .. _sphx_glr_download_examples_40_advanced_example_resampling.py: diff --git a/development/_sources/examples/40_advanced/sg_execution_times.rst.txt b/development/_sources/examples/40_advanced/sg_execution_times.rst.txt index 173e8d8e55..99ccf262c2 100644 --- a/development/_sources/examples/40_advanced/sg_execution_times.rst.txt +++ b/development/_sources/examples/40_advanced/sg_execution_times.rst.txt @@ -5,18 +5,18 @@ Computation times ================= -**15:20.036** total execution time for **examples_40_advanced** files: +**15:28.268** total execution time for **examples_40_advanced** files: +------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_examples_40_advanced_example_resampling.py` (``example_resampling.py``) | 05:59.337 | 0.0 MB | +| :ref:`sphx_glr_examples_40_advanced_example_resampling.py` (``example_resampling.py``) | 06:06.687 | 0.0 MB | +------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_examples_40_advanced_example_metrics.py` (``example_metrics.py``) | 04:39.262 | 0.0 MB | +| :ref:`sphx_glr_examples_40_advanced_example_metrics.py` (``example_metrics.py``) | 04:49.418 | 0.0 MB | +------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_examples_40_advanced_example_pandas_train_test.py` (``example_pandas_train_test.py``) | 02:01.664 | 0.0 MB | +| :ref:`sphx_glr_examples_40_advanced_example_calc_multiple_metrics.py` (``example_calc_multiple_metrics.py``) | 01:57.729 | 0.0 MB | +------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_examples_40_advanced_example_calc_multiple_metrics.py` (``example_calc_multiple_metrics.py``) | 01:56.139 | 0.0 MB | +| :ref:`sphx_glr_examples_40_advanced_example_pandas_train_test.py` (``example_pandas_train_test.py``) | 01:55.878 | 0.0 MB | +------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_examples_40_advanced_example_get_pipeline_components.py` (``example_get_pipeline_components.py``) | 00:29.480 | 0.0 MB | +| :ref:`sphx_glr_examples_40_advanced_example_get_pipeline_components.py` (``example_get_pipeline_components.py``) | 00:25.007 | 0.0 MB | +------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_examples_40_advanced_example_feature_types.py` (``example_feature_types.py``) | 00:14.154 | 0.0 MB | +| :ref:`sphx_glr_examples_40_advanced_example_feature_types.py` (``example_feature_types.py``) | 00:13.549 | 0.0 MB | +------------------------------------------------------------------------------------------------------------------+-----------+--------+ diff --git a/development/_sources/examples/60_search/example_parallel_manual_spawning_cli.rst.txt b/development/_sources/examples/60_search/example_parallel_manual_spawning_cli.rst.txt index bd99add028..2c894b68e0 100644 --- a/development/_sources/examples/60_search/example_parallel_manual_spawning_cli.rst.txt +++ b/development/_sources/examples/60_search/example_parallel_manual_spawning_cli.rst.txt @@ -301,16 +301,16 @@ Start Auto-sklearn .. code-block:: none auto-sklearn results: - Dataset name: f2fc4407-76e4-11eb-8a42-000d3a9fdd57 + Dataset name: 7abf7056-76e5-11eb-8a4c-000d3a18df1e Metric: accuracy Best validation score: 0.978723 - Number of target algorithm runs: 13 - Number of successful target algorithm runs: 13 + Number of target algorithm runs: 11 + Number of successful target algorithm runs: 9 Number of crashed target algorithm runs: 0 - Number of target algorithms that exceeded the time limit: 0 + Number of target algorithms that exceeded the time limit: 2 Number of target algorithms that exceeded the memory limit: 0 - Accuracy score 0.9440559440559441 + Accuracy score 0.951048951048951 @@ -342,7 +342,7 @@ line. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 38.542 seconds) + **Total running time of the script:** ( 0 minutes 40.713 seconds) .. _sphx_glr_download_examples_60_search_example_parallel_manual_spawning_cli.py: diff --git a/development/_sources/examples/60_search/example_parallel_manual_spawning_python.rst.txt b/development/_sources/examples/60_search/example_parallel_manual_spawning_python.rst.txt index efb978a97e..f9b3cc4326 100644 --- a/development/_sources/examples/60_search/example_parallel_manual_spawning_python.rst.txt +++ b/development/_sources/examples/60_search/example_parallel_manual_spawning_python.rst.txt @@ -210,11 +210,11 @@ which means that it is automatically stopped once all computation is done. .. code-block:: none - [ERROR] [2021-02-24 21:12:52,219:asyncio] _GatheringFuture exception was never retrieved + [ERROR] [2021-02-24 21:16:42,113:asyncio] _GatheringFuture exception was never retrieved future: <_GatheringFuture finished exception=CancelledError()> asyncio.exceptions.CancelledError auto-sklearn results: - Dataset name: 09778260-76e5-11eb-8a42-000d3a9fdd57 + Dataset name: 9281355a-76e5-11eb-8a4c-000d3a18df1e Metric: accuracy Best validation score: 0.978723 Number of target algorithm runs: 14 @@ -231,7 +231,7 @@ which means that it is automatically stopped once all computation is done. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 46.828 seconds) + **Total running time of the script:** ( 0 minutes 46.835 seconds) .. _sphx_glr_download_examples_60_search_example_parallel_manual_spawning_python.py: diff --git a/development/_sources/examples/60_search/example_parallel_n_jobs.rst.txt b/development/_sources/examples/60_search/example_parallel_n_jobs.rst.txt index 62a5d1f5ba..1f90ff71cb 100644 --- a/development/_sources/examples/60_search/example_parallel_n_jobs.rst.txt +++ b/development/_sources/examples/60_search/example_parallel_n_jobs.rst.txt @@ -114,10 +114,10 @@ To use ``n_jobs_`` we must guard the code Dataset name: breast_cancer Metric: accuracy Best validation score: 0.992908 - Number of target algorithm runs: 49 - Number of successful target algorithm runs: 46 + Number of target algorithm runs: 43 + Number of successful target algorithm runs: 39 Number of crashed target algorithm runs: 1 - Number of target algorithms that exceeded the time limit: 2 + Number of target algorithms that exceeded the time limit: 3 Number of target algorithms that exceeded the memory limit: 0 @@ -127,7 +127,7 @@ To use ``n_jobs_`` we must guard the code .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 2 minutes 4.370 seconds) + **Total running time of the script:** ( 2 minutes 7.258 seconds) .. _sphx_glr_download_examples_60_search_example_parallel_n_jobs.py: diff --git a/development/_sources/examples/60_search/example_random_search.rst.txt b/development/_sources/examples/60_search/example_random_search.rst.txt index e7211b07c3..d9d367895e 100644 --- a/development/_sources/examples/60_search/example_random_search.rst.txt +++ b/development/_sources/examples/60_search/example_random_search.rst.txt @@ -142,7 +142,7 @@ Fit a classifier using ROAR ################################################################################ Results for ROAR. - [(0.100000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'passive_aggressive', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessing:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'none', 'feature_preprocessor:__choice__': 'no_preprocessing', 'classifier:passive_aggressive:C': 0.14268277711454813, 'classifier:passive_aggressive:average': 'False', 'classifier:passive_aggressive:fit_intercept': 'True', 'classifier:passive_aggressive:loss': 'hinge', 'classifier:passive_aggressive:tol': 0.0002600768160857831, 'data_preprocessing:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.0070580904199417415}, + [(0.100000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'k_nearest_neighbors', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessing:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'quantile_transformer', 'feature_preprocessor:__choice__': 'fast_ica', 'classifier:k_nearest_neighbors:n_neighbors': 17, 'classifier:k_nearest_neighbors:p': 1, 'classifier:k_nearest_neighbors:weights': 'distance', 'data_preprocessing:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.0064240359731805256, 'data_preprocessing:numerical_transformer:rescaling:quantile_transformer:n_quantiles': 366, 'data_preprocessing:numerical_transformer:rescaling:quantile_transformer:output_distribution': 'normal', 'feature_preprocessor:fast_ica:algorithm': 'deflation', 'feature_preprocessor:fast_ica:fun': 'cube', 'feature_preprocessor:fast_ica:whiten': 'False'}, dataset_properties={ 'task': 1, 'sparse': False, @@ -150,7 +150,7 @@ Fit a classifier using ROAR 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.080000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'adaboost', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessing:numerical_transformer:imputation:strategy': 'median', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'quantile_transformer', 'feature_preprocessor:__choice__': 'select_percentile_classification', 'classifier:adaboost:algorithm': 'SAMME', 'classifier:adaboost:learning_rate': 0.4049938193379549, 'classifier:adaboost:max_depth': 1, 'classifier:adaboost:n_estimators': 388, 'data_preprocessing:numerical_transformer:rescaling:quantile_transformer:n_quantiles': 1287, 'data_preprocessing:numerical_transformer:rescaling:quantile_transformer:output_distribution': 'uniform', 'feature_preprocessor:select_percentile_classification:percentile': 61.930882023664026, 'feature_preprocessor:select_percentile_classification:score_func': 'mutual_info'}, + (0.100000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'sgd', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessing:numerical_transformer:imputation:strategy': 'median', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'standardize', 'feature_preprocessor:__choice__': 'kitchen_sinks', 'classifier:sgd:alpha': 0.023230573548442986, 'classifier:sgd:average': 'False', 'classifier:sgd:fit_intercept': 'True', 'classifier:sgd:learning_rate': 'optimal', 'classifier:sgd:loss': 'hinge', 'classifier:sgd:penalty': 'elasticnet', 'classifier:sgd:tol': 0.00914452052320379, 'data_preprocessing:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.004761916582570089, 'feature_preprocessor:kitchen_sinks:gamma': 0.5053844026292638, 'feature_preprocessor:kitchen_sinks:n_components': 1473, 'classifier:sgd:l1_ratio': 0.0004329999519235331}, dataset_properties={ 'task': 1, 'sparse': False, @@ -158,7 +158,7 @@ Fit a classifier using ROAR 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.080000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'k_nearest_neighbors', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessing:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'quantile_transformer', 'feature_preprocessor:__choice__': 'fast_ica', 'classifier:k_nearest_neighbors:n_neighbors': 17, 'classifier:k_nearest_neighbors:p': 1, 'classifier:k_nearest_neighbors:weights': 'distance', 'data_preprocessing:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.0064240359731805256, 'data_preprocessing:numerical_transformer:rescaling:quantile_transformer:n_quantiles': 366, 'data_preprocessing:numerical_transformer:rescaling:quantile_transformer:output_distribution': 'normal', 'feature_preprocessor:fast_ica:algorithm': 'deflation', 'feature_preprocessor:fast_ica:fun': 'cube', 'feature_preprocessor:fast_ica:whiten': 'False'}, + (0.080000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'sgd', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessing:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'robust_scaler', 'feature_preprocessor:__choice__': 'select_rates_classification', 'classifier:sgd:alpha': 0.007717703000374906, 'classifier:sgd:average': 'True', 'classifier:sgd:fit_intercept': 'True', 'classifier:sgd:learning_rate': 'invscaling', 'classifier:sgd:loss': 'squared_hinge', 'classifier:sgd:penalty': 'elasticnet', 'classifier:sgd:tol': 0.026297613044572284, 'data_preprocessing:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.29821963832916193, 'data_preprocessing:numerical_transformer:rescaling:robust_scaler:q_max': 0.9405196255765775, 'data_preprocessing:numerical_transformer:rescaling:robust_scaler:q_min': 0.0994844714209496, 'feature_preprocessor:select_rates_classification:alpha': 0.05423283428970822, 'feature_preprocessor:select_rates_classification:score_func': 'mutual_info_classif', 'classifier:sgd:eta0': 4.043442186754495e-05, 'classifier:sgd:l1_ratio': 2.6110464864353516e-06, 'classifier:sgd:power_t': 0.2409161101117413}, dataset_properties={ 'task': 1, 'sparse': False, @@ -166,7 +166,7 @@ Fit a classifier using ROAR 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.080000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'adaboost', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessing:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'minmax', 'feature_preprocessor:__choice__': 'random_trees_embedding', 'classifier:adaboost:algorithm': 'SAMME.R', 'classifier:adaboost:learning_rate': 0.04959158806147936, 'classifier:adaboost:max_depth': 1, 'classifier:adaboost:n_estimators': 144, 'data_preprocessing:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.0015684507609100432, 'feature_preprocessor:random_trees_embedding:bootstrap': 'False', 'feature_preprocessor:random_trees_embedding:max_depth': 10, 'feature_preprocessor:random_trees_embedding:max_leaf_nodes': 'None', 'feature_preprocessor:random_trees_embedding:min_samples_leaf': 11, 'feature_preprocessor:random_trees_embedding:min_samples_split': 2, 'feature_preprocessor:random_trees_embedding:min_weight_fraction_leaf': 1.0, 'feature_preprocessor:random_trees_embedding:n_estimators': 61}, + (0.060000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'passive_aggressive', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessing:numerical_transformer:imputation:strategy': 'median', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'robust_scaler', 'feature_preprocessor:__choice__': 'pca', 'classifier:passive_aggressive:C': 1.4828149555877955e-05, 'classifier:passive_aggressive:average': 'True', 'classifier:passive_aggressive:fit_intercept': 'True', 'classifier:passive_aggressive:loss': 'squared_hinge', 'classifier:passive_aggressive:tol': 7.428420524090334e-05, 'data_preprocessing:numerical_transformer:rescaling:robust_scaler:q_max': 0.8555517414153896, 'data_preprocessing:numerical_transformer:rescaling:robust_scaler:q_min': 0.21340925663218369, 'feature_preprocessor:pca:keep_variance': 0.7577566410659637, 'feature_preprocessor:pca:whiten': 'True'}, dataset_properties={ 'task': 1, 'sparse': False, @@ -174,7 +174,7 @@ Fit a classifier using ROAR 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.080000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'sgd', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessing:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'robust_scaler', 'feature_preprocessor:__choice__': 'select_rates_classification', 'classifier:sgd:alpha': 0.007717703000374906, 'classifier:sgd:average': 'True', 'classifier:sgd:fit_intercept': 'True', 'classifier:sgd:learning_rate': 'invscaling', 'classifier:sgd:loss': 'squared_hinge', 'classifier:sgd:penalty': 'elasticnet', 'classifier:sgd:tol': 0.026297613044572284, 'data_preprocessing:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.29821963832916193, 'data_preprocessing:numerical_transformer:rescaling:robust_scaler:q_max': 0.9405196255765775, 'data_preprocessing:numerical_transformer:rescaling:robust_scaler:q_min': 0.0994844714209496, 'feature_preprocessor:select_rates_classification:alpha': 0.05423283428970822, 'feature_preprocessor:select_rates_classification:score_func': 'mutual_info_classif', 'classifier:sgd:eta0': 4.043442186754495e-05, 'classifier:sgd:l1_ratio': 2.6110464864353516e-06, 'classifier:sgd:power_t': 0.2409161101117413}, + (0.060000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'adaboost', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessing:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'minmax', 'feature_preprocessor:__choice__': 'random_trees_embedding', 'classifier:adaboost:algorithm': 'SAMME.R', 'classifier:adaboost:learning_rate': 0.04959158806147936, 'classifier:adaboost:max_depth': 1, 'classifier:adaboost:n_estimators': 144, 'data_preprocessing:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.0015684507609100432, 'feature_preprocessor:random_trees_embedding:bootstrap': 'False', 'feature_preprocessor:random_trees_embedding:max_depth': 10, 'feature_preprocessor:random_trees_embedding:max_leaf_nodes': 'None', 'feature_preprocessor:random_trees_embedding:min_samples_leaf': 11, 'feature_preprocessor:random_trees_embedding:min_samples_split': 2, 'feature_preprocessor:random_trees_embedding:min_weight_fraction_leaf': 1.0, 'feature_preprocessor:random_trees_embedding:n_estimators': 61}, dataset_properties={ 'task': 1, 'sparse': False, @@ -182,7 +182,7 @@ Fit a classifier using ROAR 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.060000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'passive_aggressive', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessing:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'robust_scaler', 'feature_preprocessor:__choice__': 'fast_ica', 'classifier:passive_aggressive:C': 0.008807665845919431, 'classifier:passive_aggressive:average': 'False', 'classifier:passive_aggressive:fit_intercept': 'True', 'classifier:passive_aggressive:loss': 'hinge', 'classifier:passive_aggressive:tol': 0.001174447028725537, 'data_preprocessing:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.42677247105834165, 'data_preprocessing:numerical_transformer:rescaling:robust_scaler:q_max': 0.7278293151795671, 'data_preprocessing:numerical_transformer:rescaling:robust_scaler:q_min': 0.16271852122755062, 'feature_preprocessor:fast_ica:algorithm': 'deflation', 'feature_preprocessor:fast_ica:fun': 'exp', 'feature_preprocessor:fast_ica:whiten': 'True', 'feature_preprocessor:fast_ica:n_components': 1631}, + (0.060000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'gaussian_nb', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessing:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'standardize', 'feature_preprocessor:__choice__': 'fast_ica', 'feature_preprocessor:fast_ica:algorithm': 'parallel', 'feature_preprocessor:fast_ica:fun': 'cube', 'feature_preprocessor:fast_ica:whiten': 'False'}, dataset_properties={ 'task': 1, 'sparse': False, @@ -190,7 +190,7 @@ Fit a classifier using ROAR 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.060000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'passive_aggressive', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessing:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'quantile_transformer', 'feature_preprocessor:__choice__': 'kernel_pca', 'classifier:passive_aggressive:C': 0.0004359908703182886, 'classifier:passive_aggressive:average': 'False', 'classifier:passive_aggressive:fit_intercept': 'True', 'classifier:passive_aggressive:loss': 'hinge', 'classifier:passive_aggressive:tol': 0.046378023822235014, 'data_preprocessing:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.010336740037458521, 'data_preprocessing:numerical_transformer:rescaling:quantile_transformer:n_quantiles': 1491, 'data_preprocessing:numerical_transformer:rescaling:quantile_transformer:output_distribution': 'normal', 'feature_preprocessor:kernel_pca:kernel': 'cosine', 'feature_preprocessor:kernel_pca:n_components': 324}, + (0.040000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'extra_trees', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessing:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'standardize', 'feature_preprocessor:__choice__': 'extra_trees_preproc_for_classification', 'classifier:extra_trees:bootstrap': 'True', 'classifier:extra_trees:criterion': 'entropy', 'classifier:extra_trees:max_depth': 'None', 'classifier:extra_trees:max_features': 0.5109910142446875, 'classifier:extra_trees:max_leaf_nodes': 'None', 'classifier:extra_trees:min_impurity_decrease': 0.0, 'classifier:extra_trees:min_samples_leaf': 15, 'classifier:extra_trees:min_samples_split': 13, 'classifier:extra_trees:min_weight_fraction_leaf': 0.0, 'data_preprocessing:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.02248165436933192, 'feature_preprocessor:extra_trees_preproc_for_classification:bootstrap': 'True', 'feature_preprocessor:extra_trees_preproc_for_classification:criterion': 'gini', 'feature_preprocessor:extra_trees_preproc_for_classification:max_depth': 'None', 'feature_preprocessor:extra_trees_preproc_for_classification:max_features': 0.9021208914219154, 'feature_preprocessor:extra_trees_preproc_for_classification:max_leaf_nodes': 'None', 'feature_preprocessor:extra_trees_preproc_for_classification:min_impurity_decrease': 0.0, 'feature_preprocessor:extra_trees_preproc_for_classification:min_samples_leaf': 13, 'feature_preprocessor:extra_trees_preproc_for_classification:min_samples_split': 4, 'feature_preprocessor:extra_trees_preproc_for_classification:min_weight_fraction_leaf': 0.0, 'feature_preprocessor:extra_trees_preproc_for_classification:n_estimators': 100}, dataset_properties={ 'task': 1, 'sparse': False, @@ -198,7 +198,7 @@ Fit a classifier using ROAR 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.060000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'sgd', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessing:numerical_transformer:imputation:strategy': 'median', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'standardize', 'feature_preprocessor:__choice__': 'kitchen_sinks', 'classifier:sgd:alpha': 0.023230573548442986, 'classifier:sgd:average': 'False', 'classifier:sgd:fit_intercept': 'True', 'classifier:sgd:learning_rate': 'optimal', 'classifier:sgd:loss': 'hinge', 'classifier:sgd:penalty': 'elasticnet', 'classifier:sgd:tol': 0.00914452052320379, 'data_preprocessing:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.004761916582570089, 'feature_preprocessor:kitchen_sinks:gamma': 0.5053844026292638, 'feature_preprocessor:kitchen_sinks:n_components': 1473, 'classifier:sgd:l1_ratio': 0.0004329999519235331}, + (0.040000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'lda', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessing:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'robust_scaler', 'feature_preprocessor:__choice__': 'feature_agglomeration', 'classifier:lda:shrinkage': 'None', 'classifier:lda:tol': 0.00030813800501854375, 'data_preprocessing:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.0005608805549103165, 'data_preprocessing:numerical_transformer:rescaling:robust_scaler:q_max': 0.7936147135745113, 'data_preprocessing:numerical_transformer:rescaling:robust_scaler:q_min': 0.030676849677106797, 'feature_preprocessor:feature_agglomeration:affinity': 'euclidean', 'feature_preprocessor:feature_agglomeration:linkage': 'complete', 'feature_preprocessor:feature_agglomeration:n_clusters': 165, 'feature_preprocessor:feature_agglomeration:pooling_func': 'mean'}, dataset_properties={ 'task': 1, 'sparse': False, @@ -206,7 +206,7 @@ Fit a classifier using ROAR 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.040000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'random_forest', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessing:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'standardize', 'feature_preprocessor:__choice__': 'no_preprocessing', 'classifier:random_forest:bootstrap': 'True', 'classifier:random_forest:criterion': 'gini', 'classifier:random_forest:max_depth': 'None', 'classifier:random_forest:max_features': 0.5, 'classifier:random_forest:max_leaf_nodes': 'None', 'classifier:random_forest:min_impurity_decrease': 0.0, 'classifier:random_forest:min_samples_leaf': 1, 'classifier:random_forest:min_samples_split': 2, 'classifier:random_forest:min_weight_fraction_leaf': 0.0, 'data_preprocessing:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.01}, + (0.040000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'lda', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessing:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'standardize', 'feature_preprocessor:__choice__': 'polynomial', 'classifier:lda:shrinkage': 'manual', 'classifier:lda:tol': 0.004988766464197923, 'feature_preprocessor:polynomial:degree': 2, 'feature_preprocessor:polynomial:include_bias': 'True', 'feature_preprocessor:polynomial:interaction_only': 'True', 'classifier:lda:shrinkage_factor': 0.5035873895477795}, dataset_properties={ 'task': 1, 'sparse': False, @@ -214,7 +214,7 @@ Fit a classifier using ROAR 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.040000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'extra_trees', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessing:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'standardize', 'feature_preprocessor:__choice__': 'extra_trees_preproc_for_classification', 'classifier:extra_trees:bootstrap': 'True', 'classifier:extra_trees:criterion': 'entropy', 'classifier:extra_trees:max_depth': 'None', 'classifier:extra_trees:max_features': 0.5109910142446875, 'classifier:extra_trees:max_leaf_nodes': 'None', 'classifier:extra_trees:min_impurity_decrease': 0.0, 'classifier:extra_trees:min_samples_leaf': 15, 'classifier:extra_trees:min_samples_split': 13, 'classifier:extra_trees:min_weight_fraction_leaf': 0.0, 'data_preprocessing:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.02248165436933192, 'feature_preprocessor:extra_trees_preproc_for_classification:bootstrap': 'True', 'feature_preprocessor:extra_trees_preproc_for_classification:criterion': 'gini', 'feature_preprocessor:extra_trees_preproc_for_classification:max_depth': 'None', 'feature_preprocessor:extra_trees_preproc_for_classification:max_features': 0.9021208914219154, 'feature_preprocessor:extra_trees_preproc_for_classification:max_leaf_nodes': 'None', 'feature_preprocessor:extra_trees_preproc_for_classification:min_impurity_decrease': 0.0, 'feature_preprocessor:extra_trees_preproc_for_classification:min_samples_leaf': 13, 'feature_preprocessor:extra_trees_preproc_for_classification:min_samples_split': 4, 'feature_preprocessor:extra_trees_preproc_for_classification:min_weight_fraction_leaf': 0.0, 'feature_preprocessor:extra_trees_preproc_for_classification:n_estimators': 100}, + (0.040000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'adaboost', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessing:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'robust_scaler', 'feature_preprocessor:__choice__': 'select_rates_classification', 'classifier:adaboost:algorithm': 'SAMME', 'classifier:adaboost:learning_rate': 0.24523905870324333, 'classifier:adaboost:max_depth': 6, 'classifier:adaboost:n_estimators': 431, 'data_preprocessing:numerical_transformer:rescaling:robust_scaler:q_max': 0.7134419180834684, 'data_preprocessing:numerical_transformer:rescaling:robust_scaler:q_min': 0.08870795505650579, 'feature_preprocessor:select_rates_classification:alpha': 0.2932412686806637, 'feature_preprocessor:select_rates_classification:score_func': 'f_classif', 'feature_preprocessor:select_rates_classification:mode': 'fpr'}, dataset_properties={ 'task': 1, 'sparse': False, @@ -222,7 +222,7 @@ Fit a classifier using ROAR 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.040000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'libsvm_svc', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessing:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'standardize', 'feature_preprocessor:__choice__': 'extra_trees_preproc_for_classification', 'classifier:libsvm_svc:C': 1504.304341015277, 'classifier:libsvm_svc:gamma': 0.0007555524453942974, 'classifier:libsvm_svc:kernel': 'rbf', 'classifier:libsvm_svc:max_iter': -1, 'classifier:libsvm_svc:shrinking': 'True', 'classifier:libsvm_svc:tol': 0.024840701714247355, 'data_preprocessing:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.0028437629981268096, 'feature_preprocessor:extra_trees_preproc_for_classification:bootstrap': 'False', 'feature_preprocessor:extra_trees_preproc_for_classification:criterion': 'gini', 'feature_preprocessor:extra_trees_preproc_for_classification:max_depth': 'None', 'feature_preprocessor:extra_trees_preproc_for_classification:max_features': 0.6689921995428821, 'feature_preprocessor:extra_trees_preproc_for_classification:max_leaf_nodes': 'None', 'feature_preprocessor:extra_trees_preproc_for_classification:min_impurity_decrease': 0.0, 'feature_preprocessor:extra_trees_preproc_for_classification:min_samples_leaf': 5, 'feature_preprocessor:extra_trees_preproc_for_classification:min_samples_split': 14, 'feature_preprocessor:extra_trees_preproc_for_classification:min_weight_fraction_leaf': 0.0, 'feature_preprocessor:extra_trees_preproc_for_classification:n_estimators': 100}, + (0.040000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'gaussian_nb', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessing:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'standardize', 'feature_preprocessor:__choice__': 'pca', 'feature_preprocessor:pca:keep_variance': 0.8872516294118539, 'feature_preprocessor:pca:whiten': 'False'}, dataset_properties={ 'task': 1, 'sparse': False, @@ -230,7 +230,7 @@ Fit a classifier using ROAR 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.040000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'mlp', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessing:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'standardize', 'feature_preprocessor:__choice__': 'extra_trees_preproc_for_classification', 'classifier:mlp:activation': 'relu', 'classifier:mlp:alpha': 0.011436798452283344, 'classifier:mlp:batch_size': 'auto', 'classifier:mlp:beta_1': 0.9, 'classifier:mlp:beta_2': 0.999, 'classifier:mlp:early_stopping': 'valid', 'classifier:mlp:epsilon': 1e-08, 'classifier:mlp:hidden_layer_depth': 3, 'classifier:mlp:learning_rate_init': 0.00013396299682257875, 'classifier:mlp:n_iter_no_change': 32, 'classifier:mlp:num_nodes_per_layer': 80, 'classifier:mlp:shuffle': 'True', 'classifier:mlp:solver': 'adam', 'classifier:mlp:tol': 0.0001, 'feature_preprocessor:extra_trees_preproc_for_classification:bootstrap': 'True', 'feature_preprocessor:extra_trees_preproc_for_classification:criterion': 'entropy', 'feature_preprocessor:extra_trees_preproc_for_classification:max_depth': 'None', 'feature_preprocessor:extra_trees_preproc_for_classification:max_features': 0.24669234139232454, 'feature_preprocessor:extra_trees_preproc_for_classification:max_leaf_nodes': 'None', 'feature_preprocessor:extra_trees_preproc_for_classification:min_impurity_decrease': 0.0, 'feature_preprocessor:extra_trees_preproc_for_classification:min_samples_leaf': 11, 'feature_preprocessor:extra_trees_preproc_for_classification:min_samples_split': 19, 'feature_preprocessor:extra_trees_preproc_for_classification:min_weight_fraction_leaf': 0.0, 'feature_preprocessor:extra_trees_preproc_for_classification:n_estimators': 100, 'classifier:mlp:validation_fraction': 0.1}, + (0.040000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'extra_trees', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessing:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'quantile_transformer', 'feature_preprocessor:__choice__': 'select_rates_classification', 'classifier:extra_trees:bootstrap': 'False', 'classifier:extra_trees:criterion': 'entropy', 'classifier:extra_trees:max_depth': 'None', 'classifier:extra_trees:max_features': 0.30120094099413763, 'classifier:extra_trees:max_leaf_nodes': 'None', 'classifier:extra_trees:min_impurity_decrease': 0.0, 'classifier:extra_trees:min_samples_leaf': 9, 'classifier:extra_trees:min_samples_split': 9, 'classifier:extra_trees:min_weight_fraction_leaf': 0.0, 'data_preprocessing:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.0005412957104256315, 'data_preprocessing:numerical_transformer:rescaling:quantile_transformer:n_quantiles': 433, 'data_preprocessing:numerical_transformer:rescaling:quantile_transformer:output_distribution': 'uniform', 'feature_preprocessor:select_rates_classification:alpha': 0.2648367650322158, 'feature_preprocessor:select_rates_classification:score_func': 'mutual_info_classif'}, dataset_properties={ 'task': 1, 'sparse': False, @@ -238,7 +238,7 @@ Fit a classifier using ROAR 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.040000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'passive_aggressive', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessing:numerical_transformer:imputation:strategy': 'median', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'normalize', 'feature_preprocessor:__choice__': 'kernel_pca', 'classifier:passive_aggressive:C': 0.22265490765045048, 'classifier:passive_aggressive:average': 'True', 'classifier:passive_aggressive:fit_intercept': 'True', 'classifier:passive_aggressive:loss': 'squared_hinge', 'classifier:passive_aggressive:tol': 0.0008475203927213822, 'data_preprocessing:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.1397059579803307, 'feature_preprocessor:kernel_pca:kernel': 'cosine', 'feature_preprocessor:kernel_pca:n_components': 797}, + (0.040000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'passive_aggressive', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessing:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'quantile_transformer', 'feature_preprocessor:__choice__': 'select_percentile_classification', 'classifier:passive_aggressive:C': 9.980960021582169, 'classifier:passive_aggressive:average': 'True', 'classifier:passive_aggressive:fit_intercept': 'True', 'classifier:passive_aggressive:loss': 'squared_hinge', 'classifier:passive_aggressive:tol': 1.4253174621059973e-05, 'data_preprocessing:numerical_transformer:rescaling:quantile_transformer:n_quantiles': 996, 'data_preprocessing:numerical_transformer:rescaling:quantile_transformer:output_distribution': 'normal', 'feature_preprocessor:select_percentile_classification:percentile': 17.78704008693171, 'feature_preprocessor:select_percentile_classification:score_func': 'f_classif'}, dataset_properties={ 'task': 1, 'sparse': False, @@ -246,7 +246,7 @@ Fit a classifier using ROAR 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.020000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'lda', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessing:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'robust_scaler', 'feature_preprocessor:__choice__': 'feature_agglomeration', 'classifier:lda:shrinkage': 'None', 'classifier:lda:tol': 0.00030813800501854375, 'data_preprocessing:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.0005608805549103165, 'data_preprocessing:numerical_transformer:rescaling:robust_scaler:q_max': 0.7936147135745113, 'data_preprocessing:numerical_transformer:rescaling:robust_scaler:q_min': 0.030676849677106797, 'feature_preprocessor:feature_agglomeration:affinity': 'euclidean', 'feature_preprocessor:feature_agglomeration:linkage': 'complete', 'feature_preprocessor:feature_agglomeration:n_clusters': 165, 'feature_preprocessor:feature_agglomeration:pooling_func': 'mean'}, + (0.040000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'passive_aggressive', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessing:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'none', 'feature_preprocessor:__choice__': 'no_preprocessing', 'classifier:passive_aggressive:C': 0.14268277711454813, 'classifier:passive_aggressive:average': 'False', 'classifier:passive_aggressive:fit_intercept': 'True', 'classifier:passive_aggressive:loss': 'hinge', 'classifier:passive_aggressive:tol': 0.0002600768160857831, 'data_preprocessing:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.0070580904199417415}, dataset_properties={ 'task': 1, 'sparse': False, @@ -254,7 +254,7 @@ Fit a classifier using ROAR 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.020000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'lda', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessing:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'standardize', 'feature_preprocessor:__choice__': 'polynomial', 'classifier:lda:shrinkage': 'manual', 'classifier:lda:tol': 0.004988766464197923, 'feature_preprocessor:polynomial:degree': 2, 'feature_preprocessor:polynomial:include_bias': 'True', 'feature_preprocessor:polynomial:interaction_only': 'True', 'classifier:lda:shrinkage_factor': 0.5035873895477795}, + (0.040000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'qda', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessing:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'minmax', 'feature_preprocessor:__choice__': 'select_rates_classification', 'classifier:qda:reg_param': 0.9285219569143033, 'feature_preprocessor:select_rates_classification:alpha': 0.12236261735421484, 'feature_preprocessor:select_rates_classification:score_func': 'chi2', 'feature_preprocessor:select_rates_classification:mode': 'fpr'}, dataset_properties={ 'task': 1, 'sparse': False, @@ -262,7 +262,7 @@ Fit a classifier using ROAR 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.020000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'adaboost', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessing:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'robust_scaler', 'feature_preprocessor:__choice__': 'select_rates_classification', 'classifier:adaboost:algorithm': 'SAMME', 'classifier:adaboost:learning_rate': 0.24523905870324333, 'classifier:adaboost:max_depth': 6, 'classifier:adaboost:n_estimators': 431, 'data_preprocessing:numerical_transformer:rescaling:robust_scaler:q_max': 0.7134419180834684, 'data_preprocessing:numerical_transformer:rescaling:robust_scaler:q_min': 0.08870795505650579, 'feature_preprocessor:select_rates_classification:alpha': 0.2932412686806637, 'feature_preprocessor:select_rates_classification:score_func': 'f_classif', 'feature_preprocessor:select_rates_classification:mode': 'fpr'}, + (0.020000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'random_forest', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessing:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'standardize', 'feature_preprocessor:__choice__': 'no_preprocessing', 'classifier:random_forest:bootstrap': 'True', 'classifier:random_forest:criterion': 'gini', 'classifier:random_forest:max_depth': 'None', 'classifier:random_forest:max_features': 0.5, 'classifier:random_forest:max_leaf_nodes': 'None', 'classifier:random_forest:min_impurity_decrease': 0.0, 'classifier:random_forest:min_samples_leaf': 1, 'classifier:random_forest:min_samples_split': 2, 'classifier:random_forest:min_weight_fraction_leaf': 0.0, 'data_preprocessing:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.01}, dataset_properties={ 'task': 1, 'sparse': False, @@ -270,7 +270,7 @@ Fit a classifier using ROAR 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.020000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'mlp', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessing:numerical_transformer:imputation:strategy': 'median', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'robust_scaler', 'feature_preprocessor:__choice__': 'random_trees_embedding', 'classifier:mlp:activation': 'relu', 'classifier:mlp:alpha': 1.1601959941064232e-07, 'classifier:mlp:batch_size': 'auto', 'classifier:mlp:beta_1': 0.9, 'classifier:mlp:beta_2': 0.999, 'classifier:mlp:early_stopping': 'valid', 'classifier:mlp:epsilon': 1e-08, 'classifier:mlp:hidden_layer_depth': 3, 'classifier:mlp:learning_rate_init': 0.001709623517340088, 'classifier:mlp:n_iter_no_change': 32, 'classifier:mlp:num_nodes_per_layer': 139, 'classifier:mlp:shuffle': 'True', 'classifier:mlp:solver': 'adam', 'classifier:mlp:tol': 0.0001, 'data_preprocessing:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.00012545462208270552, 'data_preprocessing:numerical_transformer:rescaling:robust_scaler:q_max': 0.9170350818083943, 'data_preprocessing:numerical_transformer:rescaling:robust_scaler:q_min': 0.07170482940067649, 'feature_preprocessor:random_trees_embedding:bootstrap': 'False', 'feature_preprocessor:random_trees_embedding:max_depth': 3, 'feature_preprocessor:random_trees_embedding:max_leaf_nodes': 'None', 'feature_preprocessor:random_trees_embedding:min_samples_leaf': 15, 'feature_preprocessor:random_trees_embedding:min_samples_split': 16, 'feature_preprocessor:random_trees_embedding:min_weight_fraction_leaf': 1.0, 'feature_preprocessor:random_trees_embedding:n_estimators': 65, 'classifier:mlp:validation_fraction': 0.1}, + (0.020000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'adaboost', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessing:numerical_transformer:imputation:strategy': 'median', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'quantile_transformer', 'feature_preprocessor:__choice__': 'select_percentile_classification', 'classifier:adaboost:algorithm': 'SAMME', 'classifier:adaboost:learning_rate': 0.4049938193379549, 'classifier:adaboost:max_depth': 1, 'classifier:adaboost:n_estimators': 388, 'data_preprocessing:numerical_transformer:rescaling:quantile_transformer:n_quantiles': 1287, 'data_preprocessing:numerical_transformer:rescaling:quantile_transformer:output_distribution': 'uniform', 'feature_preprocessor:select_percentile_classification:percentile': 61.930882023664026, 'feature_preprocessor:select_percentile_classification:score_func': 'mutual_info'}, dataset_properties={ 'task': 1, 'sparse': False, @@ -278,7 +278,7 @@ Fit a classifier using ROAR 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.020000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'gaussian_nb', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessing:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'standardize', 'feature_preprocessor:__choice__': 'pca', 'feature_preprocessor:pca:keep_variance': 0.8872516294118539, 'feature_preprocessor:pca:whiten': 'False'}, + (0.020000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'passive_aggressive', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessing:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'robust_scaler', 'feature_preprocessor:__choice__': 'fast_ica', 'classifier:passive_aggressive:C': 0.008807665845919431, 'classifier:passive_aggressive:average': 'False', 'classifier:passive_aggressive:fit_intercept': 'True', 'classifier:passive_aggressive:loss': 'hinge', 'classifier:passive_aggressive:tol': 0.001174447028725537, 'data_preprocessing:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.42677247105834165, 'data_preprocessing:numerical_transformer:rescaling:robust_scaler:q_max': 0.7278293151795671, 'data_preprocessing:numerical_transformer:rescaling:robust_scaler:q_min': 0.16271852122755062, 'feature_preprocessor:fast_ica:algorithm': 'deflation', 'feature_preprocessor:fast_ica:fun': 'exp', 'feature_preprocessor:fast_ica:whiten': 'True', 'feature_preprocessor:fast_ica:n_components': 1631}, dataset_properties={ 'task': 1, 'sparse': False, @@ -286,7 +286,7 @@ Fit a classifier using ROAR 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.020000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'passive_aggressive', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessing:numerical_transformer:imputation:strategy': 'median', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'robust_scaler', 'feature_preprocessor:__choice__': 'pca', 'classifier:passive_aggressive:C': 1.4828149555877955e-05, 'classifier:passive_aggressive:average': 'True', 'classifier:passive_aggressive:fit_intercept': 'True', 'classifier:passive_aggressive:loss': 'squared_hinge', 'classifier:passive_aggressive:tol': 7.428420524090334e-05, 'data_preprocessing:numerical_transformer:rescaling:robust_scaler:q_max': 0.8555517414153896, 'data_preprocessing:numerical_transformer:rescaling:robust_scaler:q_min': 0.21340925663218369, 'feature_preprocessor:pca:keep_variance': 0.7577566410659637, 'feature_preprocessor:pca:whiten': 'True'}, + (0.020000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'libsvm_svc', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessing:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'standardize', 'feature_preprocessor:__choice__': 'extra_trees_preproc_for_classification', 'classifier:libsvm_svc:C': 1504.304341015277, 'classifier:libsvm_svc:gamma': 0.0007555524453942974, 'classifier:libsvm_svc:kernel': 'rbf', 'classifier:libsvm_svc:max_iter': -1, 'classifier:libsvm_svc:shrinking': 'True', 'classifier:libsvm_svc:tol': 0.024840701714247355, 'data_preprocessing:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.0028437629981268096, 'feature_preprocessor:extra_trees_preproc_for_classification:bootstrap': 'False', 'feature_preprocessor:extra_trees_preproc_for_classification:criterion': 'gini', 'feature_preprocessor:extra_trees_preproc_for_classification:max_depth': 'None', 'feature_preprocessor:extra_trees_preproc_for_classification:max_features': 0.6689921995428821, 'feature_preprocessor:extra_trees_preproc_for_classification:max_leaf_nodes': 'None', 'feature_preprocessor:extra_trees_preproc_for_classification:min_impurity_decrease': 0.0, 'feature_preprocessor:extra_trees_preproc_for_classification:min_samples_leaf': 5, 'feature_preprocessor:extra_trees_preproc_for_classification:min_samples_split': 14, 'feature_preprocessor:extra_trees_preproc_for_classification:min_weight_fraction_leaf': 0.0, 'feature_preprocessor:extra_trees_preproc_for_classification:n_estimators': 100}, dataset_properties={ 'task': 1, 'sparse': False, @@ -302,7 +302,7 @@ Fit a classifier using ROAR 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.020000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'gaussian_nb', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessing:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'standardize', 'feature_preprocessor:__choice__': 'fast_ica', 'feature_preprocessor:fast_ica:algorithm': 'parallel', 'feature_preprocessor:fast_ica:fun': 'cube', 'feature_preprocessor:fast_ica:whiten': 'False'}, + (0.020000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'decision_tree', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessing:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'quantile_transformer', 'feature_preprocessor:__choice__': 'select_rates_classification', 'classifier:decision_tree:criterion': 'entropy', 'classifier:decision_tree:max_depth_factor': 1.2793553059570615, 'classifier:decision_tree:max_features': 1.0, 'classifier:decision_tree:max_leaf_nodes': 'None', 'classifier:decision_tree:min_impurity_decrease': 0.0, 'classifier:decision_tree:min_samples_leaf': 17, 'classifier:decision_tree:min_samples_split': 8, 'classifier:decision_tree:min_weight_fraction_leaf': 0.0, 'data_preprocessing:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.2774840922979938, 'data_preprocessing:numerical_transformer:rescaling:quantile_transformer:n_quantiles': 180, 'data_preprocessing:numerical_transformer:rescaling:quantile_transformer:output_distribution': 'uniform', 'feature_preprocessor:select_rates_classification:alpha': 0.17685368288603556, 'feature_preprocessor:select_rates_classification:score_func': 'chi2', 'feature_preprocessor:select_rates_classification:mode': 'fpr'}, dataset_properties={ 'task': 1, 'sparse': False, @@ -310,7 +310,7 @@ Fit a classifier using ROAR 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.020000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'lda', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessing:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'minmax', 'feature_preprocessor:__choice__': 'kernel_pca', 'classifier:lda:shrinkage': 'None', 'classifier:lda:tol': 3.5186018743026294e-05, 'feature_preprocessor:kernel_pca:kernel': 'cosine', 'feature_preprocessor:kernel_pca:n_components': 1990}, + (0.020000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'lda', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessing:numerical_transformer:imputation:strategy': 'median', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'none', 'feature_preprocessor:__choice__': 'pca', 'classifier:lda:shrinkage': 'manual', 'classifier:lda:tol': 1.6856483809869706e-05, 'data_preprocessing:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.003907811280099656, 'feature_preprocessor:pca:keep_variance': 0.8757795128884107, 'feature_preprocessor:pca:whiten': 'False', 'classifier:lda:shrinkage_factor': 0.15194201470839375}, dataset_properties={ 'task': 1, 'sparse': False, @@ -318,7 +318,15 @@ Fit a classifier using ROAR 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.020000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'lda', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessing:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'none', 'feature_preprocessor:__choice__': 'polynomial', 'classifier:lda:shrinkage': 'manual', 'classifier:lda:tol': 0.002346736380281816, 'feature_preprocessor:polynomial:degree': 2, 'feature_preprocessor:polynomial:include_bias': 'True', 'feature_preprocessor:polynomial:interaction_only': 'False', 'classifier:lda:shrinkage_factor': 0.41404068289546914}, + (0.020000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'libsvm_svc', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessing:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'none', 'feature_preprocessor:__choice__': 'pca', 'classifier:libsvm_svc:C': 0.5276958876086341, 'classifier:libsvm_svc:gamma': 0.08466074886596898, 'classifier:libsvm_svc:kernel': 'rbf', 'classifier:libsvm_svc:max_iter': -1, 'classifier:libsvm_svc:shrinking': 'True', 'classifier:libsvm_svc:tol': 1.5292886713480956e-05, 'feature_preprocessor:pca:keep_variance': 0.6423652347910127, 'feature_preprocessor:pca:whiten': 'False'}, + dataset_properties={ + 'task': 1, + 'sparse': False, + 'multilabel': False, + 'multiclass': False, + 'target_type': 'classification', + 'signed': False})), + (0.020000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'bernoulli_nb', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessing:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'minmax', 'feature_preprocessor:__choice__': 'polynomial', 'classifier:bernoulli_nb:alpha': 0.6364128567278085, 'classifier:bernoulli_nb:fit_prior': 'True', 'feature_preprocessor:polynomial:degree': 3, 'feature_preprocessor:polynomial:include_bias': 'True', 'feature_preprocessor:polynomial:interaction_only': 'True'}, dataset_properties={ 'task': 1, 'sparse': False, @@ -331,13 +339,13 @@ Fit a classifier using ROAR Dataset name: breast_cancer Metric: accuracy Best validation score: 0.978723 - Number of target algorithm runs: 34 - Number of successful target algorithm runs: 33 + Number of target algorithm runs: 32 + Number of successful target algorithm runs: 32 Number of crashed target algorithm runs: 0 - Number of target algorithms that exceeded the time limit: 1 + Number of target algorithms that exceeded the time limit: 0 Number of target algorithms that exceeded the memory limit: 0 - Accuracy score 0.951048951048951 + Accuracy score 0.958041958041958 @@ -414,15 +422,7 @@ Fit a classifier using Random Search ################################################################################ Results for random search. - [(0.100000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'adaboost', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessing:numerical_transformer:imputation:strategy': 'median', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'quantile_transformer', 'feature_preprocessor:__choice__': 'select_percentile_classification', 'classifier:adaboost:algorithm': 'SAMME', 'classifier:adaboost:learning_rate': 0.4049938193379549, 'classifier:adaboost:max_depth': 1, 'classifier:adaboost:n_estimators': 388, 'data_preprocessing:numerical_transformer:rescaling:quantile_transformer:n_quantiles': 1287, 'data_preprocessing:numerical_transformer:rescaling:quantile_transformer:output_distribution': 'uniform', 'feature_preprocessor:select_percentile_classification:percentile': 61.930882023664026, 'feature_preprocessor:select_percentile_classification:score_func': 'mutual_info'}, - dataset_properties={ - 'task': 1, - 'sparse': False, - 'multilabel': False, - 'multiclass': False, - 'target_type': 'classification', - 'signed': False})), - (0.100000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'passive_aggressive', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessing:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'none', 'feature_preprocessor:__choice__': 'no_preprocessing', 'classifier:passive_aggressive:C': 0.14268277711454813, 'classifier:passive_aggressive:average': 'False', 'classifier:passive_aggressive:fit_intercept': 'True', 'classifier:passive_aggressive:loss': 'hinge', 'classifier:passive_aggressive:tol': 0.0002600768160857831, 'data_preprocessing:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.0070580904199417415}, + [(0.120000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'k_nearest_neighbors', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessing:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'quantile_transformer', 'feature_preprocessor:__choice__': 'fast_ica', 'classifier:k_nearest_neighbors:n_neighbors': 17, 'classifier:k_nearest_neighbors:p': 1, 'classifier:k_nearest_neighbors:weights': 'distance', 'data_preprocessing:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.0064240359731805256, 'data_preprocessing:numerical_transformer:rescaling:quantile_transformer:n_quantiles': 366, 'data_preprocessing:numerical_transformer:rescaling:quantile_transformer:output_distribution': 'normal', 'feature_preprocessor:fast_ica:algorithm': 'deflation', 'feature_preprocessor:fast_ica:fun': 'cube', 'feature_preprocessor:fast_ica:whiten': 'False'}, dataset_properties={ 'task': 1, 'sparse': False, @@ -430,7 +430,7 @@ Fit a classifier using Random Search 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.080000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'k_nearest_neighbors', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessing:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'quantile_transformer', 'feature_preprocessor:__choice__': 'fast_ica', 'classifier:k_nearest_neighbors:n_neighbors': 17, 'classifier:k_nearest_neighbors:p': 1, 'classifier:k_nearest_neighbors:weights': 'distance', 'data_preprocessing:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.0064240359731805256, 'data_preprocessing:numerical_transformer:rescaling:quantile_transformer:n_quantiles': 366, 'data_preprocessing:numerical_transformer:rescaling:quantile_transformer:output_distribution': 'normal', 'feature_preprocessor:fast_ica:algorithm': 'deflation', 'feature_preprocessor:fast_ica:fun': 'cube', 'feature_preprocessor:fast_ica:whiten': 'False'}, + (0.100000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'mlp', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessing:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'standardize', 'feature_preprocessor:__choice__': 'extra_trees_preproc_for_classification', 'classifier:mlp:activation': 'relu', 'classifier:mlp:alpha': 0.011436798452283344, 'classifier:mlp:batch_size': 'auto', 'classifier:mlp:beta_1': 0.9, 'classifier:mlp:beta_2': 0.999, 'classifier:mlp:early_stopping': 'valid', 'classifier:mlp:epsilon': 1e-08, 'classifier:mlp:hidden_layer_depth': 3, 'classifier:mlp:learning_rate_init': 0.00013396299682257875, 'classifier:mlp:n_iter_no_change': 32, 'classifier:mlp:num_nodes_per_layer': 80, 'classifier:mlp:shuffle': 'True', 'classifier:mlp:solver': 'adam', 'classifier:mlp:tol': 0.0001, 'feature_preprocessor:extra_trees_preproc_for_classification:bootstrap': 'True', 'feature_preprocessor:extra_trees_preproc_for_classification:criterion': 'entropy', 'feature_preprocessor:extra_trees_preproc_for_classification:max_depth': 'None', 'feature_preprocessor:extra_trees_preproc_for_classification:max_features': 0.24669234139232454, 'feature_preprocessor:extra_trees_preproc_for_classification:max_leaf_nodes': 'None', 'feature_preprocessor:extra_trees_preproc_for_classification:min_impurity_decrease': 0.0, 'feature_preprocessor:extra_trees_preproc_for_classification:min_samples_leaf': 11, 'feature_preprocessor:extra_trees_preproc_for_classification:min_samples_split': 19, 'feature_preprocessor:extra_trees_preproc_for_classification:min_weight_fraction_leaf': 0.0, 'feature_preprocessor:extra_trees_preproc_for_classification:n_estimators': 100, 'classifier:mlp:validation_fraction': 0.1}, dataset_properties={ 'task': 1, 'sparse': False, @@ -438,7 +438,7 @@ Fit a classifier using Random Search 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.080000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'mlp', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessing:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'standardize', 'feature_preprocessor:__choice__': 'extra_trees_preproc_for_classification', 'classifier:mlp:activation': 'relu', 'classifier:mlp:alpha': 0.011436798452283344, 'classifier:mlp:batch_size': 'auto', 'classifier:mlp:beta_1': 0.9, 'classifier:mlp:beta_2': 0.999, 'classifier:mlp:early_stopping': 'valid', 'classifier:mlp:epsilon': 1e-08, 'classifier:mlp:hidden_layer_depth': 3, 'classifier:mlp:learning_rate_init': 0.00013396299682257875, 'classifier:mlp:n_iter_no_change': 32, 'classifier:mlp:num_nodes_per_layer': 80, 'classifier:mlp:shuffle': 'True', 'classifier:mlp:solver': 'adam', 'classifier:mlp:tol': 0.0001, 'feature_preprocessor:extra_trees_preproc_for_classification:bootstrap': 'True', 'feature_preprocessor:extra_trees_preproc_for_classification:criterion': 'entropy', 'feature_preprocessor:extra_trees_preproc_for_classification:max_depth': 'None', 'feature_preprocessor:extra_trees_preproc_for_classification:max_features': 0.24669234139232454, 'feature_preprocessor:extra_trees_preproc_for_classification:max_leaf_nodes': 'None', 'feature_preprocessor:extra_trees_preproc_for_classification:min_impurity_decrease': 0.0, 'feature_preprocessor:extra_trees_preproc_for_classification:min_samples_leaf': 11, 'feature_preprocessor:extra_trees_preproc_for_classification:min_samples_split': 19, 'feature_preprocessor:extra_trees_preproc_for_classification:min_weight_fraction_leaf': 0.0, 'feature_preprocessor:extra_trees_preproc_for_classification:n_estimators': 100, 'classifier:mlp:validation_fraction': 0.1}, + (0.100000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'adaboost', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessing:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'minmax', 'feature_preprocessor:__choice__': 'random_trees_embedding', 'classifier:adaboost:algorithm': 'SAMME.R', 'classifier:adaboost:learning_rate': 0.04959158806147936, 'classifier:adaboost:max_depth': 1, 'classifier:adaboost:n_estimators': 144, 'data_preprocessing:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.0015684507609100432, 'feature_preprocessor:random_trees_embedding:bootstrap': 'False', 'feature_preprocessor:random_trees_embedding:max_depth': 10, 'feature_preprocessor:random_trees_embedding:max_leaf_nodes': 'None', 'feature_preprocessor:random_trees_embedding:min_samples_leaf': 11, 'feature_preprocessor:random_trees_embedding:min_samples_split': 2, 'feature_preprocessor:random_trees_embedding:min_weight_fraction_leaf': 1.0, 'feature_preprocessor:random_trees_embedding:n_estimators': 61}, dataset_properties={ 'task': 1, 'sparse': False, @@ -446,7 +446,7 @@ Fit a classifier using Random Search 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.060000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'sgd', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessing:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'robust_scaler', 'feature_preprocessor:__choice__': 'select_rates_classification', 'classifier:sgd:alpha': 0.007717703000374906, 'classifier:sgd:average': 'True', 'classifier:sgd:fit_intercept': 'True', 'classifier:sgd:learning_rate': 'invscaling', 'classifier:sgd:loss': 'squared_hinge', 'classifier:sgd:penalty': 'elasticnet', 'classifier:sgd:tol': 0.026297613044572284, 'data_preprocessing:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.29821963832916193, 'data_preprocessing:numerical_transformer:rescaling:robust_scaler:q_max': 0.9405196255765775, 'data_preprocessing:numerical_transformer:rescaling:robust_scaler:q_min': 0.0994844714209496, 'feature_preprocessor:select_rates_classification:alpha': 0.05423283428970822, 'feature_preprocessor:select_rates_classification:score_func': 'mutual_info_classif', 'classifier:sgd:eta0': 4.043442186754495e-05, 'classifier:sgd:l1_ratio': 2.6110464864353516e-06, 'classifier:sgd:power_t': 0.2409161101117413}, + (0.100000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'passive_aggressive', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessing:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'none', 'feature_preprocessor:__choice__': 'no_preprocessing', 'classifier:passive_aggressive:C': 0.14268277711454813, 'classifier:passive_aggressive:average': 'False', 'classifier:passive_aggressive:fit_intercept': 'True', 'classifier:passive_aggressive:loss': 'hinge', 'classifier:passive_aggressive:tol': 0.0002600768160857831, 'data_preprocessing:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.0070580904199417415}, dataset_properties={ 'task': 1, 'sparse': False, @@ -454,7 +454,7 @@ Fit a classifier using Random Search 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.060000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'qda', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessing:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'minmax', 'feature_preprocessor:__choice__': 'select_rates_classification', 'classifier:qda:reg_param': 0.9285219569143033, 'feature_preprocessor:select_rates_classification:alpha': 0.12236261735421484, 'feature_preprocessor:select_rates_classification:score_func': 'chi2', 'feature_preprocessor:select_rates_classification:mode': 'fpr'}, + (0.100000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'sgd', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessing:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'robust_scaler', 'feature_preprocessor:__choice__': 'select_rates_classification', 'classifier:sgd:alpha': 0.007717703000374906, 'classifier:sgd:average': 'True', 'classifier:sgd:fit_intercept': 'True', 'classifier:sgd:learning_rate': 'invscaling', 'classifier:sgd:loss': 'squared_hinge', 'classifier:sgd:penalty': 'elasticnet', 'classifier:sgd:tol': 0.026297613044572284, 'data_preprocessing:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.29821963832916193, 'data_preprocessing:numerical_transformer:rescaling:robust_scaler:q_max': 0.9405196255765775, 'data_preprocessing:numerical_transformer:rescaling:robust_scaler:q_min': 0.0994844714209496, 'feature_preprocessor:select_rates_classification:alpha': 0.05423283428970822, 'feature_preprocessor:select_rates_classification:score_func': 'mutual_info_classif', 'classifier:sgd:eta0': 4.043442186754495e-05, 'classifier:sgd:l1_ratio': 2.6110464864353516e-06, 'classifier:sgd:power_t': 0.2409161101117413}, dataset_properties={ 'task': 1, 'sparse': False, @@ -462,7 +462,7 @@ Fit a classifier using Random Search 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.040000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'extra_trees', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessing:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'standardize', 'feature_preprocessor:__choice__': 'extra_trees_preproc_for_classification', 'classifier:extra_trees:bootstrap': 'True', 'classifier:extra_trees:criterion': 'entropy', 'classifier:extra_trees:max_depth': 'None', 'classifier:extra_trees:max_features': 0.5109910142446875, 'classifier:extra_trees:max_leaf_nodes': 'None', 'classifier:extra_trees:min_impurity_decrease': 0.0, 'classifier:extra_trees:min_samples_leaf': 15, 'classifier:extra_trees:min_samples_split': 13, 'classifier:extra_trees:min_weight_fraction_leaf': 0.0, 'data_preprocessing:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.02248165436933192, 'feature_preprocessor:extra_trees_preproc_for_classification:bootstrap': 'True', 'feature_preprocessor:extra_trees_preproc_for_classification:criterion': 'gini', 'feature_preprocessor:extra_trees_preproc_for_classification:max_depth': 'None', 'feature_preprocessor:extra_trees_preproc_for_classification:max_features': 0.9021208914219154, 'feature_preprocessor:extra_trees_preproc_for_classification:max_leaf_nodes': 'None', 'feature_preprocessor:extra_trees_preproc_for_classification:min_impurity_decrease': 0.0, 'feature_preprocessor:extra_trees_preproc_for_classification:min_samples_leaf': 13, 'feature_preprocessor:extra_trees_preproc_for_classification:min_samples_split': 4, 'feature_preprocessor:extra_trees_preproc_for_classification:min_weight_fraction_leaf': 0.0, 'feature_preprocessor:extra_trees_preproc_for_classification:n_estimators': 100}, + (0.080000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'passive_aggressive', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessing:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'quantile_transformer', 'feature_preprocessor:__choice__': 'kernel_pca', 'classifier:passive_aggressive:C': 0.0004359908703182886, 'classifier:passive_aggressive:average': 'False', 'classifier:passive_aggressive:fit_intercept': 'True', 'classifier:passive_aggressive:loss': 'hinge', 'classifier:passive_aggressive:tol': 0.046378023822235014, 'data_preprocessing:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.010336740037458521, 'data_preprocessing:numerical_transformer:rescaling:quantile_transformer:n_quantiles': 1491, 'data_preprocessing:numerical_transformer:rescaling:quantile_transformer:output_distribution': 'normal', 'feature_preprocessor:kernel_pca:kernel': 'cosine', 'feature_preprocessor:kernel_pca:n_components': 324}, dataset_properties={ 'task': 1, 'sparse': False, @@ -470,7 +470,7 @@ Fit a classifier using Random Search 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.040000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'lda', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessing:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'robust_scaler', 'feature_preprocessor:__choice__': 'feature_agglomeration', 'classifier:lda:shrinkage': 'None', 'classifier:lda:tol': 0.00030813800501854375, 'data_preprocessing:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.0005608805549103165, 'data_preprocessing:numerical_transformer:rescaling:robust_scaler:q_max': 0.7936147135745113, 'data_preprocessing:numerical_transformer:rescaling:robust_scaler:q_min': 0.030676849677106797, 'feature_preprocessor:feature_agglomeration:affinity': 'euclidean', 'feature_preprocessor:feature_agglomeration:linkage': 'complete', 'feature_preprocessor:feature_agglomeration:n_clusters': 165, 'feature_preprocessor:feature_agglomeration:pooling_func': 'mean'}, + (0.040000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'lda', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessing:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'standardize', 'feature_preprocessor:__choice__': 'polynomial', 'classifier:lda:shrinkage': 'manual', 'classifier:lda:tol': 0.004988766464197923, 'feature_preprocessor:polynomial:degree': 2, 'feature_preprocessor:polynomial:include_bias': 'True', 'feature_preprocessor:polynomial:interaction_only': 'True', 'classifier:lda:shrinkage_factor': 0.5035873895477795}, dataset_properties={ 'task': 1, 'sparse': False, @@ -478,7 +478,7 @@ Fit a classifier using Random Search 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.040000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'passive_aggressive', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessing:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'quantile_transformer', 'feature_preprocessor:__choice__': 'kernel_pca', 'classifier:passive_aggressive:C': 0.0004359908703182886, 'classifier:passive_aggressive:average': 'False', 'classifier:passive_aggressive:fit_intercept': 'True', 'classifier:passive_aggressive:loss': 'hinge', 'classifier:passive_aggressive:tol': 0.046378023822235014, 'data_preprocessing:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.010336740037458521, 'data_preprocessing:numerical_transformer:rescaling:quantile_transformer:n_quantiles': 1491, 'data_preprocessing:numerical_transformer:rescaling:quantile_transformer:output_distribution': 'normal', 'feature_preprocessor:kernel_pca:kernel': 'cosine', 'feature_preprocessor:kernel_pca:n_components': 324}, + (0.040000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'gaussian_nb', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessing:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'standardize', 'feature_preprocessor:__choice__': 'pca', 'feature_preprocessor:pca:keep_variance': 0.8872516294118539, 'feature_preprocessor:pca:whiten': 'False'}, dataset_properties={ 'task': 1, 'sparse': False, @@ -486,7 +486,7 @@ Fit a classifier using Random Search 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.040000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'passive_aggressive', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessing:numerical_transformer:imputation:strategy': 'median', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'normalize', 'feature_preprocessor:__choice__': 'kernel_pca', 'classifier:passive_aggressive:C': 0.22265490765045048, 'classifier:passive_aggressive:average': 'True', 'classifier:passive_aggressive:fit_intercept': 'True', 'classifier:passive_aggressive:loss': 'squared_hinge', 'classifier:passive_aggressive:tol': 0.0008475203927213822, 'data_preprocessing:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.1397059579803307, 'feature_preprocessor:kernel_pca:kernel': 'cosine', 'feature_preprocessor:kernel_pca:n_components': 797}, + (0.040000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'lda', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessing:numerical_transformer:imputation:strategy': 'median', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'none', 'feature_preprocessor:__choice__': 'pca', 'classifier:lda:shrinkage': 'manual', 'classifier:lda:tol': 1.6856483809869706e-05, 'data_preprocessing:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.003907811280099656, 'feature_preprocessor:pca:keep_variance': 0.8757795128884107, 'feature_preprocessor:pca:whiten': 'False', 'classifier:lda:shrinkage_factor': 0.15194201470839375}, dataset_properties={ 'task': 1, 'sparse': False, @@ -494,7 +494,7 @@ Fit a classifier using Random Search 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.040000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'lda', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessing:numerical_transformer:imputation:strategy': 'median', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'none', 'feature_preprocessor:__choice__': 'pca', 'classifier:lda:shrinkage': 'manual', 'classifier:lda:tol': 1.6856483809869706e-05, 'data_preprocessing:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.003907811280099656, 'feature_preprocessor:pca:keep_variance': 0.8757795128884107, 'feature_preprocessor:pca:whiten': 'False', 'classifier:lda:shrinkage_factor': 0.15194201470839375}, + (0.040000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'qda', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessing:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'minmax', 'feature_preprocessor:__choice__': 'select_rates_classification', 'classifier:qda:reg_param': 0.9285219569143033, 'feature_preprocessor:select_rates_classification:alpha': 0.12236261735421484, 'feature_preprocessor:select_rates_classification:score_func': 'chi2', 'feature_preprocessor:select_rates_classification:mode': 'fpr'}, dataset_properties={ 'task': 1, 'sparse': False, @@ -502,7 +502,7 @@ Fit a classifier using Random Search 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.040000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'sgd', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessing:numerical_transformer:imputation:strategy': 'median', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'standardize', 'feature_preprocessor:__choice__': 'kitchen_sinks', 'classifier:sgd:alpha': 0.023230573548442986, 'classifier:sgd:average': 'False', 'classifier:sgd:fit_intercept': 'True', 'classifier:sgd:learning_rate': 'optimal', 'classifier:sgd:loss': 'hinge', 'classifier:sgd:penalty': 'elasticnet', 'classifier:sgd:tol': 0.00914452052320379, 'data_preprocessing:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.004761916582570089, 'feature_preprocessor:kitchen_sinks:gamma': 0.5053844026292638, 'feature_preprocessor:kitchen_sinks:n_components': 1473, 'classifier:sgd:l1_ratio': 0.0004329999519235331}, + (0.020000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'adaboost', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessing:numerical_transformer:imputation:strategy': 'median', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'quantile_transformer', 'feature_preprocessor:__choice__': 'select_percentile_classification', 'classifier:adaboost:algorithm': 'SAMME', 'classifier:adaboost:learning_rate': 0.4049938193379549, 'classifier:adaboost:max_depth': 1, 'classifier:adaboost:n_estimators': 388, 'data_preprocessing:numerical_transformer:rescaling:quantile_transformer:n_quantiles': 1287, 'data_preprocessing:numerical_transformer:rescaling:quantile_transformer:output_distribution': 'uniform', 'feature_preprocessor:select_percentile_classification:percentile': 61.930882023664026, 'feature_preprocessor:select_percentile_classification:score_func': 'mutual_info'}, dataset_properties={ 'task': 1, 'sparse': False, @@ -510,7 +510,7 @@ Fit a classifier using Random Search 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.040000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'libsvm_svc', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessing:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'none', 'feature_preprocessor:__choice__': 'pca', 'classifier:libsvm_svc:C': 0.5276958876086341, 'classifier:libsvm_svc:gamma': 0.08466074886596898, 'classifier:libsvm_svc:kernel': 'rbf', 'classifier:libsvm_svc:max_iter': -1, 'classifier:libsvm_svc:shrinking': 'True', 'classifier:libsvm_svc:tol': 1.5292886713480956e-05, 'feature_preprocessor:pca:keep_variance': 0.6423652347910127, 'feature_preprocessor:pca:whiten': 'False'}, + (0.020000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'passive_aggressive', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessing:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'robust_scaler', 'feature_preprocessor:__choice__': 'fast_ica', 'classifier:passive_aggressive:C': 0.008807665845919431, 'classifier:passive_aggressive:average': 'False', 'classifier:passive_aggressive:fit_intercept': 'True', 'classifier:passive_aggressive:loss': 'hinge', 'classifier:passive_aggressive:tol': 0.001174447028725537, 'data_preprocessing:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.42677247105834165, 'data_preprocessing:numerical_transformer:rescaling:robust_scaler:q_max': 0.7278293151795671, 'data_preprocessing:numerical_transformer:rescaling:robust_scaler:q_min': 0.16271852122755062, 'feature_preprocessor:fast_ica:algorithm': 'deflation', 'feature_preprocessor:fast_ica:fun': 'exp', 'feature_preprocessor:fast_ica:whiten': 'True', 'feature_preprocessor:fast_ica:n_components': 1631}, dataset_properties={ 'task': 1, 'sparse': False, @@ -518,7 +518,7 @@ Fit a classifier using Random Search 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.040000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'qda', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessing:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'normalize', 'feature_preprocessor:__choice__': 'select_percentile_classification', 'classifier:qda:reg_param': 0.016623371973457868, 'data_preprocessing:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.006829049115480403, 'feature_preprocessor:select_percentile_classification:percentile': 30.763209202836737, 'feature_preprocessor:select_percentile_classification:score_func': 'mutual_info'}, + (0.020000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'extra_trees', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessing:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'standardize', 'feature_preprocessor:__choice__': 'extra_trees_preproc_for_classification', 'classifier:extra_trees:bootstrap': 'True', 'classifier:extra_trees:criterion': 'entropy', 'classifier:extra_trees:max_depth': 'None', 'classifier:extra_trees:max_features': 0.5109910142446875, 'classifier:extra_trees:max_leaf_nodes': 'None', 'classifier:extra_trees:min_impurity_decrease': 0.0, 'classifier:extra_trees:min_samples_leaf': 15, 'classifier:extra_trees:min_samples_split': 13, 'classifier:extra_trees:min_weight_fraction_leaf': 0.0, 'data_preprocessing:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.02248165436933192, 'feature_preprocessor:extra_trees_preproc_for_classification:bootstrap': 'True', 'feature_preprocessor:extra_trees_preproc_for_classification:criterion': 'gini', 'feature_preprocessor:extra_trees_preproc_for_classification:max_depth': 'None', 'feature_preprocessor:extra_trees_preproc_for_classification:max_features': 0.9021208914219154, 'feature_preprocessor:extra_trees_preproc_for_classification:max_leaf_nodes': 'None', 'feature_preprocessor:extra_trees_preproc_for_classification:min_impurity_decrease': 0.0, 'feature_preprocessor:extra_trees_preproc_for_classification:min_samples_leaf': 13, 'feature_preprocessor:extra_trees_preproc_for_classification:min_samples_split': 4, 'feature_preprocessor:extra_trees_preproc_for_classification:min_weight_fraction_leaf': 0.0, 'feature_preprocessor:extra_trees_preproc_for_classification:n_estimators': 100}, dataset_properties={ 'task': 1, 'sparse': False, @@ -526,7 +526,7 @@ Fit a classifier using Random Search 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.040000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'bernoulli_nb', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessing:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'minmax', 'feature_preprocessor:__choice__': 'polynomial', 'classifier:bernoulli_nb:alpha': 0.6364128567278085, 'classifier:bernoulli_nb:fit_prior': 'True', 'feature_preprocessor:polynomial:degree': 3, 'feature_preprocessor:polynomial:include_bias': 'True', 'feature_preprocessor:polynomial:interaction_only': 'True'}, + (0.020000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'lda', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessing:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'robust_scaler', 'feature_preprocessor:__choice__': 'feature_agglomeration', 'classifier:lda:shrinkage': 'None', 'classifier:lda:tol': 0.00030813800501854375, 'data_preprocessing:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.0005608805549103165, 'data_preprocessing:numerical_transformer:rescaling:robust_scaler:q_max': 0.7936147135745113, 'data_preprocessing:numerical_transformer:rescaling:robust_scaler:q_min': 0.030676849677106797, 'feature_preprocessor:feature_agglomeration:affinity': 'euclidean', 'feature_preprocessor:feature_agglomeration:linkage': 'complete', 'feature_preprocessor:feature_agglomeration:n_clusters': 165, 'feature_preprocessor:feature_agglomeration:pooling_func': 'mean'}, dataset_properties={ 'task': 1, 'sparse': False, @@ -534,7 +534,7 @@ Fit a classifier using Random Search 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.020000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'lda', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessing:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'standardize', 'feature_preprocessor:__choice__': 'polynomial', 'classifier:lda:shrinkage': 'manual', 'classifier:lda:tol': 0.004988766464197923, 'feature_preprocessor:polynomial:degree': 2, 'feature_preprocessor:polynomial:include_bias': 'True', 'feature_preprocessor:polynomial:interaction_only': 'True', 'classifier:lda:shrinkage_factor': 0.5035873895477795}, + (0.020000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'adaboost', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessing:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'minmax', 'feature_preprocessor:__choice__': 'extra_trees_preproc_for_classification', 'classifier:adaboost:algorithm': 'SAMME', 'classifier:adaboost:learning_rate': 0.044764818371201276, 'classifier:adaboost:max_depth': 6, 'classifier:adaboost:n_estimators': 146, 'data_preprocessing:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.022986655942059068, 'feature_preprocessor:extra_trees_preproc_for_classification:bootstrap': 'True', 'feature_preprocessor:extra_trees_preproc_for_classification:criterion': 'entropy', 'feature_preprocessor:extra_trees_preproc_for_classification:max_depth': 'None', 'feature_preprocessor:extra_trees_preproc_for_classification:max_features': 0.5806727063444871, 'feature_preprocessor:extra_trees_preproc_for_classification:max_leaf_nodes': 'None', 'feature_preprocessor:extra_trees_preproc_for_classification:min_impurity_decrease': 0.0, 'feature_preprocessor:extra_trees_preproc_for_classification:min_samples_leaf': 18, 'feature_preprocessor:extra_trees_preproc_for_classification:min_samples_split': 2, 'feature_preprocessor:extra_trees_preproc_for_classification:min_weight_fraction_leaf': 0.0, 'feature_preprocessor:extra_trees_preproc_for_classification:n_estimators': 100}, dataset_properties={ 'task': 1, 'sparse': False, @@ -542,7 +542,7 @@ Fit a classifier using Random Search 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.020000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'adaboost', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessing:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'robust_scaler', 'feature_preprocessor:__choice__': 'select_rates_classification', 'classifier:adaboost:algorithm': 'SAMME', 'classifier:adaboost:learning_rate': 0.24523905870324333, 'classifier:adaboost:max_depth': 6, 'classifier:adaboost:n_estimators': 431, 'data_preprocessing:numerical_transformer:rescaling:robust_scaler:q_max': 0.7134419180834684, 'data_preprocessing:numerical_transformer:rescaling:robust_scaler:q_min': 0.08870795505650579, 'feature_preprocessor:select_rates_classification:alpha': 0.2932412686806637, 'feature_preprocessor:select_rates_classification:score_func': 'f_classif', 'feature_preprocessor:select_rates_classification:mode': 'fpr'}, + (0.020000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'decision_tree', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessing:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'quantile_transformer', 'feature_preprocessor:__choice__': 'select_rates_classification', 'classifier:decision_tree:criterion': 'entropy', 'classifier:decision_tree:max_depth_factor': 1.2793553059570615, 'classifier:decision_tree:max_features': 1.0, 'classifier:decision_tree:max_leaf_nodes': 'None', 'classifier:decision_tree:min_impurity_decrease': 0.0, 'classifier:decision_tree:min_samples_leaf': 17, 'classifier:decision_tree:min_samples_split': 8, 'classifier:decision_tree:min_weight_fraction_leaf': 0.0, 'data_preprocessing:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.2774840922979938, 'data_preprocessing:numerical_transformer:rescaling:quantile_transformer:n_quantiles': 180, 'data_preprocessing:numerical_transformer:rescaling:quantile_transformer:output_distribution': 'uniform', 'feature_preprocessor:select_rates_classification:alpha': 0.17685368288603556, 'feature_preprocessor:select_rates_classification:score_func': 'chi2', 'feature_preprocessor:select_rates_classification:mode': 'fpr'}, dataset_properties={ 'task': 1, 'sparse': False, @@ -550,7 +550,7 @@ Fit a classifier using Random Search 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.020000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'extra_trees', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessing:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'quantile_transformer', 'feature_preprocessor:__choice__': 'select_rates_classification', 'classifier:extra_trees:bootstrap': 'False', 'classifier:extra_trees:criterion': 'entropy', 'classifier:extra_trees:max_depth': 'None', 'classifier:extra_trees:max_features': 0.30120094099413763, 'classifier:extra_trees:max_leaf_nodes': 'None', 'classifier:extra_trees:min_impurity_decrease': 0.0, 'classifier:extra_trees:min_samples_leaf': 9, 'classifier:extra_trees:min_samples_split': 9, 'classifier:extra_trees:min_weight_fraction_leaf': 0.0, 'data_preprocessing:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.0005412957104256315, 'data_preprocessing:numerical_transformer:rescaling:quantile_transformer:n_quantiles': 433, 'data_preprocessing:numerical_transformer:rescaling:quantile_transformer:output_distribution': 'uniform', 'feature_preprocessor:select_rates_classification:alpha': 0.2648367650322158, 'feature_preprocessor:select_rates_classification:score_func': 'mutual_info_classif'}, + (0.020000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'passive_aggressive', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessing:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'quantile_transformer', 'feature_preprocessor:__choice__': 'select_percentile_classification', 'classifier:passive_aggressive:C': 9.980960021582169, 'classifier:passive_aggressive:average': 'True', 'classifier:passive_aggressive:fit_intercept': 'True', 'classifier:passive_aggressive:loss': 'squared_hinge', 'classifier:passive_aggressive:tol': 1.4253174621059973e-05, 'data_preprocessing:numerical_transformer:rescaling:quantile_transformer:n_quantiles': 996, 'data_preprocessing:numerical_transformer:rescaling:quantile_transformer:output_distribution': 'normal', 'feature_preprocessor:select_percentile_classification:percentile': 17.78704008693171, 'feature_preprocessor:select_percentile_classification:score_func': 'f_classif'}, dataset_properties={ 'task': 1, 'sparse': False, @@ -558,7 +558,7 @@ Fit a classifier using Random Search 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.020000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'passive_aggressive', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessing:numerical_transformer:imputation:strategy': 'median', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'robust_scaler', 'feature_preprocessor:__choice__': 'pca', 'classifier:passive_aggressive:C': 1.4828149555877955e-05, 'classifier:passive_aggressive:average': 'True', 'classifier:passive_aggressive:fit_intercept': 'True', 'classifier:passive_aggressive:loss': 'squared_hinge', 'classifier:passive_aggressive:tol': 7.428420524090334e-05, 'data_preprocessing:numerical_transformer:rescaling:robust_scaler:q_max': 0.8555517414153896, 'data_preprocessing:numerical_transformer:rescaling:robust_scaler:q_min': 0.21340925663218369, 'feature_preprocessor:pca:keep_variance': 0.7577566410659637, 'feature_preprocessor:pca:whiten': 'True'}, + (0.020000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'sgd', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessing:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'robust_scaler', 'feature_preprocessor:__choice__': 'no_preprocessing', 'classifier:sgd:alpha': 5.015117577391619e-07, 'classifier:sgd:average': 'True', 'classifier:sgd:fit_intercept': 'True', 'classifier:sgd:learning_rate': 'optimal', 'classifier:sgd:loss': 'squared_hinge', 'classifier:sgd:penalty': 'l2', 'classifier:sgd:tol': 0.0017220448811125148, 'data_preprocessing:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.031351819286707806, 'data_preprocessing:numerical_transformer:rescaling:robust_scaler:q_max': 0.7178808644097026, 'data_preprocessing:numerical_transformer:rescaling:robust_scaler:q_min': 0.242532034208847}, dataset_properties={ 'task': 1, 'sparse': False, @@ -566,7 +566,7 @@ Fit a classifier using Random Search 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.020000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'adaboost', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessing:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'minmax', 'feature_preprocessor:__choice__': 'extra_trees_preproc_for_classification', 'classifier:adaboost:algorithm': 'SAMME', 'classifier:adaboost:learning_rate': 0.044764818371201276, 'classifier:adaboost:max_depth': 6, 'classifier:adaboost:n_estimators': 146, 'data_preprocessing:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.022986655942059068, 'feature_preprocessor:extra_trees_preproc_for_classification:bootstrap': 'True', 'feature_preprocessor:extra_trees_preproc_for_classification:criterion': 'entropy', 'feature_preprocessor:extra_trees_preproc_for_classification:max_depth': 'None', 'feature_preprocessor:extra_trees_preproc_for_classification:max_features': 0.5806727063444871, 'feature_preprocessor:extra_trees_preproc_for_classification:max_leaf_nodes': 'None', 'feature_preprocessor:extra_trees_preproc_for_classification:min_impurity_decrease': 0.0, 'feature_preprocessor:extra_trees_preproc_for_classification:min_samples_leaf': 18, 'feature_preprocessor:extra_trees_preproc_for_classification:min_samples_split': 2, 'feature_preprocessor:extra_trees_preproc_for_classification:min_weight_fraction_leaf': 0.0, 'feature_preprocessor:extra_trees_preproc_for_classification:n_estimators': 100}, + (0.020000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'gaussian_nb', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessing:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'robust_scaler', 'feature_preprocessor:__choice__': 'liblinear_svc_preprocessor', 'data_preprocessing:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.012626439911944943, 'data_preprocessing:numerical_transformer:rescaling:robust_scaler:q_max': 0.7719846024700006, 'data_preprocessing:numerical_transformer:rescaling:robust_scaler:q_min': 0.2516209446833604, 'feature_preprocessor:liblinear_svc_preprocessor:C': 4.242522324951457, 'feature_preprocessor:liblinear_svc_preprocessor:dual': 'False', 'feature_preprocessor:liblinear_svc_preprocessor:fit_intercept': 'True', 'feature_preprocessor:liblinear_svc_preprocessor:intercept_scaling': 1, 'feature_preprocessor:liblinear_svc_preprocessor:loss': 'squared_hinge', 'feature_preprocessor:liblinear_svc_preprocessor:multi_class': 'ovr', 'feature_preprocessor:liblinear_svc_preprocessor:penalty': 'l1', 'feature_preprocessor:liblinear_svc_preprocessor:tol': 0.013094957184057622}, dataset_properties={ 'task': 1, 'sparse': False, @@ -574,7 +574,7 @@ Fit a classifier using Random Search 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.020000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'gaussian_nb', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessing:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'standardize', 'feature_preprocessor:__choice__': 'fast_ica', 'feature_preprocessor:fast_ica:algorithm': 'parallel', 'feature_preprocessor:fast_ica:fun': 'cube', 'feature_preprocessor:fast_ica:whiten': 'False'}, + (0.020000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'sgd', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessing:numerical_transformer:imputation:strategy': 'median', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'standardize', 'feature_preprocessor:__choice__': 'kitchen_sinks', 'classifier:sgd:alpha': 0.023230573548442986, 'classifier:sgd:average': 'False', 'classifier:sgd:fit_intercept': 'True', 'classifier:sgd:learning_rate': 'optimal', 'classifier:sgd:loss': 'hinge', 'classifier:sgd:penalty': 'elasticnet', 'classifier:sgd:tol': 0.00914452052320379, 'data_preprocessing:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.004761916582570089, 'feature_preprocessor:kitchen_sinks:gamma': 0.5053844026292638, 'feature_preprocessor:kitchen_sinks:n_components': 1473, 'classifier:sgd:l1_ratio': 0.0004329999519235331}, dataset_properties={ 'task': 1, 'sparse': False, @@ -582,7 +582,7 @@ Fit a classifier using Random Search 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.020000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'lda', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessing:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'minmax', 'feature_preprocessor:__choice__': 'kernel_pca', 'classifier:lda:shrinkage': 'None', 'classifier:lda:tol': 3.5186018743026294e-05, 'feature_preprocessor:kernel_pca:kernel': 'cosine', 'feature_preprocessor:kernel_pca:n_components': 1990}, + (0.020000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'qda', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessing:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'normalize', 'feature_preprocessor:__choice__': 'select_percentile_classification', 'classifier:qda:reg_param': 0.016623371973457868, 'data_preprocessing:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.006829049115480403, 'feature_preprocessor:select_percentile_classification:percentile': 30.763209202836737, 'feature_preprocessor:select_percentile_classification:score_func': 'mutual_info'}, dataset_properties={ 'task': 1, 'sparse': False, @@ -590,7 +590,7 @@ Fit a classifier using Random Search 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.020000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'passive_aggressive', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessing:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'quantile_transformer', 'feature_preprocessor:__choice__': 'select_percentile_classification', 'classifier:passive_aggressive:C': 9.980960021582169, 'classifier:passive_aggressive:average': 'True', 'classifier:passive_aggressive:fit_intercept': 'True', 'classifier:passive_aggressive:loss': 'squared_hinge', 'classifier:passive_aggressive:tol': 1.4253174621059973e-05, 'data_preprocessing:numerical_transformer:rescaling:quantile_transformer:n_quantiles': 996, 'data_preprocessing:numerical_transformer:rescaling:quantile_transformer:output_distribution': 'normal', 'feature_preprocessor:select_percentile_classification:percentile': 17.78704008693171, 'feature_preprocessor:select_percentile_classification:score_func': 'f_classif'}, + (0.020000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'bernoulli_nb', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessing:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'minmax', 'feature_preprocessor:__choice__': 'polynomial', 'classifier:bernoulli_nb:alpha': 0.6364128567278085, 'classifier:bernoulli_nb:fit_prior': 'True', 'feature_preprocessor:polynomial:degree': 3, 'feature_preprocessor:polynomial:include_bias': 'True', 'feature_preprocessor:polynomial:interaction_only': 'True'}, dataset_properties={ 'task': 1, 'sparse': False, @@ -603,13 +603,13 @@ Fit a classifier using Random Search Dataset name: breast_cancer Metric: accuracy Best validation score: 0.978723 - Number of target algorithm runs: 33 - Number of successful target algorithm runs: 32 + Number of target algorithm runs: 32 + Number of successful target algorithm runs: 31 Number of crashed target algorithm runs: 0 Number of target algorithms that exceeded the time limit: 1 Number of target algorithms that exceeded the memory limit: 0 - Accuracy score 0.951048951048951 + Accuracy score 0.9370629370629371 @@ -617,7 +617,7 @@ Fit a classifier using Random Search .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 1 minutes 51.580 seconds) + **Total running time of the script:** ( 1 minutes 56.661 seconds) .. _sphx_glr_download_examples_60_search_example_random_search.py: diff --git a/development/_sources/examples/60_search/example_sequential.rst.txt b/development/_sources/examples/60_search/example_sequential.rst.txt index 341278b894..0aa167254e 100644 --- a/development/_sources/examples/60_search/example_sequential.rst.txt +++ b/development/_sources/examples/60_search/example_sequential.rst.txt @@ -276,7 +276,7 @@ Get the Score of the final ensemble .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 1 minutes 56.654 seconds) + **Total running time of the script:** ( 1 minutes 56.808 seconds) .. _sphx_glr_download_examples_60_search_example_sequential.py: diff --git a/development/_sources/examples/60_search/example_successive_halving.rst.txt b/development/_sources/examples/60_search/example_successive_halving.rst.txt index e51057929d..2966e5420c 100644 --- a/development/_sources/examples/60_search/example_successive_halving.rst.txt +++ b/development/_sources/examples/60_search/example_successive_halving.rst.txt @@ -188,7 +188,7 @@ Build and fit a classifier default_config = scenario.cs.get_default_configuration() /opt/hostedtoolcache/Python/3.8.7/x64/lib/python3.8/site-packages/smac/intensification/parallel_scheduling.py:149: UserWarning: SuccessiveHalving is intended to be used with more than 1 worker but num_workers=1 warnings.warn("{} is intended to be used " - [(0.220000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'extra_trees', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessing:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'robust_scaler', 'feature_preprocessor:__choice__': 'no_preprocessing', 'classifier:extra_trees:bootstrap': 'False', 'classifier:extra_trees:criterion': 'entropy', 'classifier:extra_trees:max_depth': 'None', 'classifier:extra_trees:max_features': 0.6128603428070196, 'classifier:extra_trees:max_leaf_nodes': 'None', 'classifier:extra_trees:min_impurity_decrease': 0.0, 'classifier:extra_trees:min_samples_leaf': 1, 'classifier:extra_trees:min_samples_split': 3, 'classifier:extra_trees:min_weight_fraction_leaf': 0.0, 'data_preprocessing:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.08125391652261632, 'data_preprocessing:numerical_transformer:rescaling:robust_scaler:q_max': 0.8601586365248128, 'data_preprocessing:numerical_transformer:rescaling:robust_scaler:q_min': 0.052862156055921525}, + [(0.280000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'extra_trees', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessing:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'robust_scaler', 'feature_preprocessor:__choice__': 'no_preprocessing', 'classifier:extra_trees:bootstrap': 'False', 'classifier:extra_trees:criterion': 'entropy', 'classifier:extra_trees:max_depth': 'None', 'classifier:extra_trees:max_features': 0.6128603428070196, 'classifier:extra_trees:max_leaf_nodes': 'None', 'classifier:extra_trees:min_impurity_decrease': 0.0, 'classifier:extra_trees:min_samples_leaf': 1, 'classifier:extra_trees:min_samples_split': 3, 'classifier:extra_trees:min_weight_fraction_leaf': 0.0, 'data_preprocessing:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.08125391652261632, 'data_preprocessing:numerical_transformer:rescaling:robust_scaler:q_max': 0.8601586365248128, 'data_preprocessing:numerical_transformer:rescaling:robust_scaler:q_min': 0.052862156055921525}, dataset_properties={ 'task': 1, 'sparse': False, @@ -204,7 +204,7 @@ Build and fit a classifier 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.160000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'extra_trees', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessing:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'robust_scaler', 'feature_preprocessor:__choice__': 'no_preprocessing', 'classifier:extra_trees:bootstrap': 'False', 'classifier:extra_trees:criterion': 'entropy', 'classifier:extra_trees:max_depth': 'None', 'classifier:extra_trees:max_features': 0.6128603428070196, 'classifier:extra_trees:max_leaf_nodes': 'None', 'classifier:extra_trees:min_impurity_decrease': 0.0, 'classifier:extra_trees:min_samples_leaf': 1, 'classifier:extra_trees:min_samples_split': 3, 'classifier:extra_trees:min_weight_fraction_leaf': 0.0, 'data_preprocessing:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.08125391652261632, 'data_preprocessing:numerical_transformer:rescaling:robust_scaler:q_max': 0.8601586365248128, 'data_preprocessing:numerical_transformer:rescaling:robust_scaler:q_min': 0.052862156055921525}, + (0.140000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'random_forest', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessing:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'standardize', 'feature_preprocessor:__choice__': 'no_preprocessing', 'classifier:random_forest:bootstrap': 'True', 'classifier:random_forest:criterion': 'entropy', 'classifier:random_forest:max_depth': 'None', 'classifier:random_forest:max_features': 0.926283631486858, 'classifier:random_forest:max_leaf_nodes': 'None', 'classifier:random_forest:min_impurity_decrease': 0.0, 'classifier:random_forest:min_samples_leaf': 7, 'classifier:random_forest:min_samples_split': 2, 'classifier:random_forest:min_weight_fraction_leaf': 0.0, 'data_preprocessing:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.16265262021972576}, dataset_properties={ 'task': 1, 'sparse': False, @@ -212,15 +212,7 @@ Build and fit a classifier 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.120000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'random_forest', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessing:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'standardize', 'feature_preprocessor:__choice__': 'no_preprocessing', 'classifier:random_forest:bootstrap': 'True', 'classifier:random_forest:criterion': 'entropy', 'classifier:random_forest:max_depth': 'None', 'classifier:random_forest:max_features': 0.926283631486858, 'classifier:random_forest:max_leaf_nodes': 'None', 'classifier:random_forest:min_impurity_decrease': 0.0, 'classifier:random_forest:min_samples_leaf': 7, 'classifier:random_forest:min_samples_split': 2, 'classifier:random_forest:min_weight_fraction_leaf': 0.0, 'data_preprocessing:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.16265262021972576}, - dataset_properties={ - 'task': 1, - 'sparse': False, - 'multilabel': False, - 'multiclass': False, - 'target_type': 'classification', - 'signed': False})), - (0.120000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'sgd', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessing:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'standardize', 'feature_preprocessor:__choice__': 'no_preprocessing', 'classifier:sgd:alpha': 0.0002346515712987664, 'classifier:sgd:average': 'True', 'classifier:sgd:fit_intercept': 'True', 'classifier:sgd:learning_rate': 'optimal', 'classifier:sgd:loss': 'log', 'classifier:sgd:penalty': 'l1', 'classifier:sgd:tol': 1.3716748930467322e-05}, + (0.120000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'passive_aggressive', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessing:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'none', 'feature_preprocessor:__choice__': 'no_preprocessing', 'classifier:passive_aggressive:C': 0.14268277711454813, 'classifier:passive_aggressive:average': 'False', 'classifier:passive_aggressive:fit_intercept': 'True', 'classifier:passive_aggressive:loss': 'hinge', 'classifier:passive_aggressive:tol': 0.0002600768160857831, 'data_preprocessing:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.0070580904199417415}, dataset_properties={ 'task': 1, 'sparse': False, @@ -228,7 +220,7 @@ Build and fit a classifier 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.120000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'passive_aggressive', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessing:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'none', 'feature_preprocessor:__choice__': 'no_preprocessing', 'classifier:passive_aggressive:C': 0.14268277711454813, 'classifier:passive_aggressive:average': 'False', 'classifier:passive_aggressive:fit_intercept': 'True', 'classifier:passive_aggressive:loss': 'hinge', 'classifier:passive_aggressive:tol': 0.0002600768160857831, 'data_preprocessing:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.0070580904199417415}, + (0.100000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'random_forest', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessing:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'standardize', 'feature_preprocessor:__choice__': 'no_preprocessing', 'classifier:random_forest:bootstrap': 'True', 'classifier:random_forest:criterion': 'gini', 'classifier:random_forest:max_depth': 'None', 'classifier:random_forest:max_features': 0.5, 'classifier:random_forest:max_leaf_nodes': 'None', 'classifier:random_forest:min_impurity_decrease': 0.0, 'classifier:random_forest:min_samples_leaf': 1, 'classifier:random_forest:min_samples_split': 2, 'classifier:random_forest:min_weight_fraction_leaf': 0.0, 'data_preprocessing:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.01}, dataset_properties={ 'task': 1, 'sparse': False, @@ -236,7 +228,7 @@ Build and fit a classifier 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.080000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'random_forest', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessing:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'standardize', 'feature_preprocessor:__choice__': 'no_preprocessing', 'classifier:random_forest:bootstrap': 'True', 'classifier:random_forest:criterion': 'gini', 'classifier:random_forest:max_depth': 'None', 'classifier:random_forest:max_features': 0.5, 'classifier:random_forest:max_leaf_nodes': 'None', 'classifier:random_forest:min_impurity_decrease': 0.0, 'classifier:random_forest:min_samples_leaf': 1, 'classifier:random_forest:min_samples_split': 2, 'classifier:random_forest:min_weight_fraction_leaf': 0.0, 'data_preprocessing:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.01}, + (0.100000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'extra_trees', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessing:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'robust_scaler', 'feature_preprocessor:__choice__': 'no_preprocessing', 'classifier:extra_trees:bootstrap': 'False', 'classifier:extra_trees:criterion': 'entropy', 'classifier:extra_trees:max_depth': 'None', 'classifier:extra_trees:max_features': 0.6128603428070196, 'classifier:extra_trees:max_leaf_nodes': 'None', 'classifier:extra_trees:min_impurity_decrease': 0.0, 'classifier:extra_trees:min_samples_leaf': 1, 'classifier:extra_trees:min_samples_split': 3, 'classifier:extra_trees:min_weight_fraction_leaf': 0.0, 'data_preprocessing:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.08125391652261632, 'data_preprocessing:numerical_transformer:rescaling:robust_scaler:q_max': 0.8601586365248128, 'data_preprocessing:numerical_transformer:rescaling:robust_scaler:q_min': 0.052862156055921525}, dataset_properties={ 'task': 1, 'sparse': False, @@ -244,7 +236,7 @@ Build and fit a classifier 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.020000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'random_forest', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessing:numerical_transformer:imputation:strategy': 'median', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'standardize', 'feature_preprocessor:__choice__': 'no_preprocessing', 'classifier:random_forest:bootstrap': 'False', 'classifier:random_forest:criterion': 'entropy', 'classifier:random_forest:max_depth': 'None', 'classifier:random_forest:max_features': 0.41808321658160696, 'classifier:random_forest:max_leaf_nodes': 'None', 'classifier:random_forest:min_impurity_decrease': 0.0, 'classifier:random_forest:min_samples_leaf': 1, 'classifier:random_forest:min_samples_split': 4, 'classifier:random_forest:min_weight_fraction_leaf': 0.0, 'data_preprocessing:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.011283688651384545}, + (0.100000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'sgd', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessing:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'standardize', 'feature_preprocessor:__choice__': 'no_preprocessing', 'classifier:sgd:alpha': 0.0002346515712987664, 'classifier:sgd:average': 'True', 'classifier:sgd:fit_intercept': 'True', 'classifier:sgd:learning_rate': 'optimal', 'classifier:sgd:loss': 'log', 'classifier:sgd:penalty': 'l1', 'classifier:sgd:tol': 1.3716748930467322e-05}, dataset_properties={ 'task': 1, 'sparse': False, @@ -257,8 +249,8 @@ Build and fit a classifier Dataset name: breast_cancer Metric: accuracy Best validation score: 0.985816 - Number of target algorithm runs: 10 - Number of successful target algorithm runs: 8 + Number of target algorithm runs: 9 + Number of successful target algorithm runs: 7 Number of crashed target algorithm runs: 0 Number of target algorithms that exceeded the time limit: 2 Number of target algorithms that exceeded the memory limit: 0 @@ -513,39 +505,7 @@ Next, we see the use of subsampling as a budget in Auto-sklearn default_config = scenario.cs.get_default_configuration() /opt/hostedtoolcache/Python/3.8.7/x64/lib/python3.8/site-packages/smac/intensification/parallel_scheduling.py:149: UserWarning: SuccessiveHalving is intended to be used with more than 1 worker but num_workers=1 warnings.warn("{} is intended to be used " - [(0.160000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'mlp', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessing:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'standardize', 'feature_preprocessor:__choice__': 'fast_ica', 'classifier:mlp:activation': 'relu', 'classifier:mlp:alpha': 0.0017940473175767063, 'classifier:mlp:batch_size': 'auto', 'classifier:mlp:beta_1': 0.9, 'classifier:mlp:beta_2': 0.999, 'classifier:mlp:early_stopping': 'valid', 'classifier:mlp:epsilon': 1e-08, 'classifier:mlp:hidden_layer_depth': 2, 'classifier:mlp:learning_rate_init': 0.0004684917334431039, 'classifier:mlp:n_iter_no_change': 32, 'classifier:mlp:num_nodes_per_layer': 101, 'classifier:mlp:shuffle': 'True', 'classifier:mlp:solver': 'adam', 'classifier:mlp:tol': 0.0001, 'feature_preprocessor:fast_ica:algorithm': 'parallel', 'feature_preprocessor:fast_ica:fun': 'exp', 'feature_preprocessor:fast_ica:whiten': 'False', 'classifier:mlp:validation_fraction': 0.1}, - dataset_properties={ - 'task': 1, - 'sparse': False, - 'multilabel': False, - 'multiclass': False, - 'target_type': 'classification', - 'signed': False})), - (0.140000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'mlp', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessing:numerical_transformer:imputation:strategy': 'median', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'standardize', 'feature_preprocessor:__choice__': 'feature_agglomeration', 'classifier:mlp:activation': 'tanh', 'classifier:mlp:alpha': 0.0001363185819149026, 'classifier:mlp:batch_size': 'auto', 'classifier:mlp:beta_1': 0.9, 'classifier:mlp:beta_2': 0.999, 'classifier:mlp:early_stopping': 'valid', 'classifier:mlp:epsilon': 1e-08, 'classifier:mlp:hidden_layer_depth': 3, 'classifier:mlp:learning_rate_init': 0.00018009776276177523, 'classifier:mlp:n_iter_no_change': 32, 'classifier:mlp:num_nodes_per_layer': 115, 'classifier:mlp:shuffle': 'True', 'classifier:mlp:solver': 'adam', 'classifier:mlp:tol': 0.0001, 'feature_preprocessor:feature_agglomeration:affinity': 'euclidean', 'feature_preprocessor:feature_agglomeration:linkage': 'ward', 'feature_preprocessor:feature_agglomeration:n_clusters': 182, 'feature_preprocessor:feature_agglomeration:pooling_func': 'mean', 'classifier:mlp:validation_fraction': 0.1}, - dataset_properties={ - 'task': 1, - 'sparse': False, - 'multilabel': False, - 'multiclass': False, - 'target_type': 'classification', - 'signed': False})), - (0.140000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'random_forest', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessing:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'standardize', 'feature_preprocessor:__choice__': 'no_preprocessing', 'classifier:random_forest:bootstrap': 'True', 'classifier:random_forest:criterion': 'gini', 'classifier:random_forest:max_depth': 'None', 'classifier:random_forest:max_features': 0.5, 'classifier:random_forest:max_leaf_nodes': 'None', 'classifier:random_forest:min_impurity_decrease': 0.0, 'classifier:random_forest:min_samples_leaf': 1, 'classifier:random_forest:min_samples_split': 2, 'classifier:random_forest:min_weight_fraction_leaf': 0.0, 'data_preprocessing:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.01}, - dataset_properties={ - 'task': 1, - 'sparse': False, - 'multilabel': False, - 'multiclass': False, - 'target_type': 'classification', - 'signed': False})), - (0.100000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'extra_trees', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessing:numerical_transformer:imputation:strategy': 'median', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'none', 'feature_preprocessor:__choice__': 'polynomial', 'classifier:extra_trees:bootstrap': 'False', 'classifier:extra_trees:criterion': 'gini', 'classifier:extra_trees:max_depth': 'None', 'classifier:extra_trees:max_features': 0.5707983257382487, 'classifier:extra_trees:max_leaf_nodes': 'None', 'classifier:extra_trees:min_impurity_decrease': 0.0, 'classifier:extra_trees:min_samples_leaf': 3, 'classifier:extra_trees:min_samples_split': 11, 'classifier:extra_trees:min_weight_fraction_leaf': 0.0, 'feature_preprocessor:polynomial:degree': 2, 'feature_preprocessor:polynomial:include_bias': 'False', 'feature_preprocessor:polynomial:interaction_only': 'False'}, - dataset_properties={ - 'task': 1, - 'sparse': False, - 'multilabel': False, - 'multiclass': False, - 'target_type': 'classification', - 'signed': False})), - (0.100000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'random_forest', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessing:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'robust_scaler', 'feature_preprocessor:__choice__': 'extra_trees_preproc_for_classification', 'classifier:random_forest:bootstrap': 'True', 'classifier:random_forest:criterion': 'entropy', 'classifier:random_forest:max_depth': 'None', 'classifier:random_forest:max_features': 0.4775492074518431, 'classifier:random_forest:max_leaf_nodes': 'None', 'classifier:random_forest:min_impurity_decrease': 0.0, 'classifier:random_forest:min_samples_leaf': 2, 'classifier:random_forest:min_samples_split': 2, 'classifier:random_forest:min_weight_fraction_leaf': 0.0, 'data_preprocessing:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.015996368052062886, 'data_preprocessing:numerical_transformer:rescaling:robust_scaler:q_max': 0.7845396961078424, 'data_preprocessing:numerical_transformer:rescaling:robust_scaler:q_min': 0.25545052141264185, 'feature_preprocessor:extra_trees_preproc_for_classification:bootstrap': 'False', 'feature_preprocessor:extra_trees_preproc_for_classification:criterion': 'entropy', 'feature_preprocessor:extra_trees_preproc_for_classification:max_depth': 'None', 'feature_preprocessor:extra_trees_preproc_for_classification:max_features': 0.5662900693317384, 'feature_preprocessor:extra_trees_preproc_for_classification:max_leaf_nodes': 'None', 'feature_preprocessor:extra_trees_preproc_for_classification:min_impurity_decrease': 0.0, 'feature_preprocessor:extra_trees_preproc_for_classification:min_samples_leaf': 1, 'feature_preprocessor:extra_trees_preproc_for_classification:min_samples_split': 7, 'feature_preprocessor:extra_trees_preproc_for_classification:min_weight_fraction_leaf': 0.0, 'feature_preprocessor:extra_trees_preproc_for_classification:n_estimators': 100}, + [(0.520000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'extra_trees', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessing:numerical_transformer:imputation:strategy': 'median', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'none', 'feature_preprocessor:__choice__': 'polynomial', 'classifier:extra_trees:bootstrap': 'False', 'classifier:extra_trees:criterion': 'gini', 'classifier:extra_trees:max_depth': 'None', 'classifier:extra_trees:max_features': 0.5707983257382487, 'classifier:extra_trees:max_leaf_nodes': 'None', 'classifier:extra_trees:min_impurity_decrease': 0.0, 'classifier:extra_trees:min_samples_leaf': 3, 'classifier:extra_trees:min_samples_split': 11, 'classifier:extra_trees:min_weight_fraction_leaf': 0.0, 'feature_preprocessor:polynomial:degree': 2, 'feature_preprocessor:polynomial:include_bias': 'False', 'feature_preprocessor:polynomial:interaction_only': 'False'}, dataset_properties={ 'task': 1, 'sparse': False, @@ -553,7 +513,7 @@ Next, we see the use of subsampling as a budget in Auto-sklearn 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.080000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'mlp', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessing:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'standardize', 'feature_preprocessor:__choice__': 'feature_agglomeration', 'classifier:mlp:activation': 'tanh', 'classifier:mlp:alpha': 0.00021148999718383549, 'classifier:mlp:batch_size': 'auto', 'classifier:mlp:beta_1': 0.9, 'classifier:mlp:beta_2': 0.999, 'classifier:mlp:early_stopping': 'train', 'classifier:mlp:epsilon': 1e-08, 'classifier:mlp:hidden_layer_depth': 3, 'classifier:mlp:learning_rate_init': 0.0007452270241186694, 'classifier:mlp:n_iter_no_change': 32, 'classifier:mlp:num_nodes_per_layer': 113, 'classifier:mlp:shuffle': 'True', 'classifier:mlp:solver': 'adam', 'classifier:mlp:tol': 0.0001, 'feature_preprocessor:feature_agglomeration:affinity': 'euclidean', 'feature_preprocessor:feature_agglomeration:linkage': 'complete', 'feature_preprocessor:feature_agglomeration:n_clusters': 247, 'feature_preprocessor:feature_agglomeration:pooling_func': 'max'}, + (0.240000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'mlp', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessing:numerical_transformer:imputation:strategy': 'median', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'standardize', 'feature_preprocessor:__choice__': 'feature_agglomeration', 'classifier:mlp:activation': 'tanh', 'classifier:mlp:alpha': 0.0001363185819149026, 'classifier:mlp:batch_size': 'auto', 'classifier:mlp:beta_1': 0.9, 'classifier:mlp:beta_2': 0.999, 'classifier:mlp:early_stopping': 'valid', 'classifier:mlp:epsilon': 1e-08, 'classifier:mlp:hidden_layer_depth': 3, 'classifier:mlp:learning_rate_init': 0.00018009776276177523, 'classifier:mlp:n_iter_no_change': 32, 'classifier:mlp:num_nodes_per_layer': 115, 'classifier:mlp:shuffle': 'True', 'classifier:mlp:solver': 'adam', 'classifier:mlp:tol': 0.0001, 'feature_preprocessor:feature_agglomeration:affinity': 'euclidean', 'feature_preprocessor:feature_agglomeration:linkage': 'ward', 'feature_preprocessor:feature_agglomeration:n_clusters': 182, 'feature_preprocessor:feature_agglomeration:pooling_func': 'mean', 'classifier:mlp:validation_fraction': 0.1}, dataset_properties={ 'task': 1, 'sparse': False, @@ -561,7 +521,7 @@ Next, we see the use of subsampling as a budget in Auto-sklearn 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.060000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'random_forest', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessing:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'standardize', 'feature_preprocessor:__choice__': 'no_preprocessing', 'classifier:random_forest:bootstrap': 'True', 'classifier:random_forest:criterion': 'gini', 'classifier:random_forest:max_depth': 'None', 'classifier:random_forest:max_features': 0.5, 'classifier:random_forest:max_leaf_nodes': 'None', 'classifier:random_forest:min_impurity_decrease': 0.0, 'classifier:random_forest:min_samples_leaf': 1, 'classifier:random_forest:min_samples_split': 2, 'classifier:random_forest:min_weight_fraction_leaf': 0.0, 'data_preprocessing:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.01}, + (0.140000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'extra_trees', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessing:numerical_transformer:imputation:strategy': 'median', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'none', 'feature_preprocessor:__choice__': 'polynomial', 'classifier:extra_trees:bootstrap': 'False', 'classifier:extra_trees:criterion': 'gini', 'classifier:extra_trees:max_depth': 'None', 'classifier:extra_trees:max_features': 0.5707983257382487, 'classifier:extra_trees:max_leaf_nodes': 'None', 'classifier:extra_trees:min_impurity_decrease': 0.0, 'classifier:extra_trees:min_samples_leaf': 3, 'classifier:extra_trees:min_samples_split': 11, 'classifier:extra_trees:min_weight_fraction_leaf': 0.0, 'feature_preprocessor:polynomial:degree': 2, 'feature_preprocessor:polynomial:include_bias': 'False', 'feature_preprocessor:polynomial:interaction_only': 'False'}, dataset_properties={ 'task': 1, 'sparse': False, @@ -569,7 +529,7 @@ Next, we see the use of subsampling as a budget in Auto-sklearn 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.060000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'random_forest', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessing:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'standardize', 'feature_preprocessor:__choice__': 'no_preprocessing', 'classifier:random_forest:bootstrap': 'True', 'classifier:random_forest:criterion': 'gini', 'classifier:random_forest:max_depth': 'None', 'classifier:random_forest:max_features': 0.5, 'classifier:random_forest:max_leaf_nodes': 'None', 'classifier:random_forest:min_impurity_decrease': 0.0, 'classifier:random_forest:min_samples_leaf': 1, 'classifier:random_forest:min_samples_split': 2, 'classifier:random_forest:min_weight_fraction_leaf': 0.0, 'data_preprocessing:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.01}, + (0.060000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'mlp', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessing:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'standardize', 'feature_preprocessor:__choice__': 'fast_ica', 'classifier:mlp:activation': 'relu', 'classifier:mlp:alpha': 0.0017940473175767063, 'classifier:mlp:batch_size': 'auto', 'classifier:mlp:beta_1': 0.9, 'classifier:mlp:beta_2': 0.999, 'classifier:mlp:early_stopping': 'valid', 'classifier:mlp:epsilon': 1e-08, 'classifier:mlp:hidden_layer_depth': 2, 'classifier:mlp:learning_rate_init': 0.0004684917334431039, 'classifier:mlp:n_iter_no_change': 32, 'classifier:mlp:num_nodes_per_layer': 101, 'classifier:mlp:shuffle': 'True', 'classifier:mlp:solver': 'adam', 'classifier:mlp:tol': 0.0001, 'feature_preprocessor:fast_ica:algorithm': 'parallel', 'feature_preprocessor:fast_ica:fun': 'exp', 'feature_preprocessor:fast_ica:whiten': 'False', 'classifier:mlp:validation_fraction': 0.1}, dataset_properties={ 'task': 1, 'sparse': False, @@ -577,7 +537,7 @@ Next, we see the use of subsampling as a budget in Auto-sklearn 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.060000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'extra_trees', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessing:numerical_transformer:imputation:strategy': 'median', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'normalize', 'feature_preprocessor:__choice__': 'extra_trees_preproc_for_classification', 'classifier:extra_trees:bootstrap': 'False', 'classifier:extra_trees:criterion': 'gini', 'classifier:extra_trees:max_depth': 'None', 'classifier:extra_trees:max_features': 0.9292309396985746, 'classifier:extra_trees:max_leaf_nodes': 'None', 'classifier:extra_trees:min_impurity_decrease': 0.0, 'classifier:extra_trees:min_samples_leaf': 1, 'classifier:extra_trees:min_samples_split': 10, 'classifier:extra_trees:min_weight_fraction_leaf': 0.0, 'data_preprocessing:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.032719158639429445, 'feature_preprocessor:extra_trees_preproc_for_classification:bootstrap': 'False', 'feature_preprocessor:extra_trees_preproc_for_classification:criterion': 'entropy', 'feature_preprocessor:extra_trees_preproc_for_classification:max_depth': 'None', 'feature_preprocessor:extra_trees_preproc_for_classification:max_features': 0.9929881254946676, 'feature_preprocessor:extra_trees_preproc_for_classification:max_leaf_nodes': 'None', 'feature_preprocessor:extra_trees_preproc_for_classification:min_impurity_decrease': 0.0, 'feature_preprocessor:extra_trees_preproc_for_classification:min_samples_leaf': 1, 'feature_preprocessor:extra_trees_preproc_for_classification:min_samples_split': 2, 'feature_preprocessor:extra_trees_preproc_for_classification:min_weight_fraction_leaf': 0.0, 'feature_preprocessor:extra_trees_preproc_for_classification:n_estimators': 100}, + (0.020000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'extra_trees', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessing:numerical_transformer:imputation:strategy': 'median', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'none', 'feature_preprocessor:__choice__': 'polynomial', 'classifier:extra_trees:bootstrap': 'False', 'classifier:extra_trees:criterion': 'gini', 'classifier:extra_trees:max_depth': 'None', 'classifier:extra_trees:max_features': 0.5707983257382487, 'classifier:extra_trees:max_leaf_nodes': 'None', 'classifier:extra_trees:min_impurity_decrease': 0.0, 'classifier:extra_trees:min_samples_leaf': 3, 'classifier:extra_trees:min_samples_split': 11, 'classifier:extra_trees:min_weight_fraction_leaf': 0.0, 'feature_preprocessor:polynomial:degree': 2, 'feature_preprocessor:polynomial:include_bias': 'False', 'feature_preprocessor:polynomial:interaction_only': 'False'}, dataset_properties={ 'task': 1, 'sparse': False, @@ -585,31 +545,7 @@ Next, we see the use of subsampling as a budget in Auto-sklearn 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.040000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'random_forest', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessing:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'standardize', 'feature_preprocessor:__choice__': 'extra_trees_preproc_for_classification', 'classifier:random_forest:bootstrap': 'True', 'classifier:random_forest:criterion': 'gini', 'classifier:random_forest:max_depth': 'None', 'classifier:random_forest:max_features': 0.43999367631975456, 'classifier:random_forest:max_leaf_nodes': 'None', 'classifier:random_forest:min_impurity_decrease': 0.0, 'classifier:random_forest:min_samples_leaf': 2, 'classifier:random_forest:min_samples_split': 2, 'classifier:random_forest:min_weight_fraction_leaf': 0.0, 'feature_preprocessor:extra_trees_preproc_for_classification:bootstrap': 'True', 'feature_preprocessor:extra_trees_preproc_for_classification:criterion': 'entropy', 'feature_preprocessor:extra_trees_preproc_for_classification:max_depth': 'None', 'feature_preprocessor:extra_trees_preproc_for_classification:max_features': 0.8134515743047006, 'feature_preprocessor:extra_trees_preproc_for_classification:max_leaf_nodes': 'None', 'feature_preprocessor:extra_trees_preproc_for_classification:min_impurity_decrease': 0.0, 'feature_preprocessor:extra_trees_preproc_for_classification:min_samples_leaf': 9, 'feature_preprocessor:extra_trees_preproc_for_classification:min_samples_split': 20, 'feature_preprocessor:extra_trees_preproc_for_classification:min_weight_fraction_leaf': 0.0, 'feature_preprocessor:extra_trees_preproc_for_classification:n_estimators': 100}, - dataset_properties={ - 'task': 1, - 'sparse': False, - 'multilabel': False, - 'multiclass': False, - 'target_type': 'classification', - 'signed': False})), - (0.020000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'random_forest', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessing:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'minmax', 'feature_preprocessor:__choice__': 'select_percentile_classification', 'classifier:random_forest:bootstrap': 'True', 'classifier:random_forest:criterion': 'entropy', 'classifier:random_forest:max_depth': 'None', 'classifier:random_forest:max_features': 0.49138075723513286, 'classifier:random_forest:max_leaf_nodes': 'None', 'classifier:random_forest:min_impurity_decrease': 0.0, 'classifier:random_forest:min_samples_leaf': 1, 'classifier:random_forest:min_samples_split': 6, 'classifier:random_forest:min_weight_fraction_leaf': 0.0, 'data_preprocessing:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.42693600390988135, 'feature_preprocessor:select_percentile_classification:percentile': 56.97947373958566, 'feature_preprocessor:select_percentile_classification:score_func': 'mutual_info'}, - dataset_properties={ - 'task': 1, - 'sparse': False, - 'multilabel': False, - 'multiclass': False, - 'target_type': 'classification', - 'signed': False})), - (0.020000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'random_forest', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessing:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'standardize', 'feature_preprocessor:__choice__': 'no_preprocessing', 'classifier:random_forest:bootstrap': 'True', 'classifier:random_forest:criterion': 'gini', 'classifier:random_forest:max_depth': 'None', 'classifier:random_forest:max_features': 0.5, 'classifier:random_forest:max_leaf_nodes': 'None', 'classifier:random_forest:min_impurity_decrease': 0.0, 'classifier:random_forest:min_samples_leaf': 1, 'classifier:random_forest:min_samples_split': 2, 'classifier:random_forest:min_weight_fraction_leaf': 0.0, 'data_preprocessing:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.01}, - dataset_properties={ - 'task': 1, - 'sparse': False, - 'multilabel': False, - 'multiclass': False, - 'target_type': 'classification', - 'signed': False})), - (0.020000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'random_forest', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessing:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'standardize', 'feature_preprocessor:__choice__': 'no_preprocessing', 'classifier:random_forest:bootstrap': 'True', 'classifier:random_forest:criterion': 'entropy', 'classifier:random_forest:max_depth': 'None', 'classifier:random_forest:max_features': 0.926283631486858, 'classifier:random_forest:max_leaf_nodes': 'None', 'classifier:random_forest:min_impurity_decrease': 0.0, 'classifier:random_forest:min_samples_leaf': 7, 'classifier:random_forest:min_samples_split': 2, 'classifier:random_forest:min_weight_fraction_leaf': 0.0, 'data_preprocessing:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.16265262021972576}, + (0.020000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'extra_trees', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessing:numerical_transformer:imputation:strategy': 'median', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'none', 'feature_preprocessor:__choice__': 'polynomial', 'classifier:extra_trees:bootstrap': 'False', 'classifier:extra_trees:criterion': 'gini', 'classifier:extra_trees:max_depth': 'None', 'classifier:extra_trees:max_features': 0.5707983257382487, 'classifier:extra_trees:max_leaf_nodes': 'None', 'classifier:extra_trees:min_impurity_decrease': 0.0, 'classifier:extra_trees:min_samples_leaf': 3, 'classifier:extra_trees:min_samples_split': 11, 'classifier:extra_trees:min_weight_fraction_leaf': 0.0, 'feature_preprocessor:polynomial:degree': 2, 'feature_preprocessor:polynomial:include_bias': 'False', 'feature_preprocessor:polynomial:interaction_only': 'False'}, dataset_properties={ 'task': 1, 'sparse': False, @@ -621,14 +557,14 @@ Next, we see the use of subsampling as a budget in Auto-sklearn auto-sklearn results: Dataset name: breast_cancer Metric: accuracy - Best validation score: 0.978723 + Best validation score: 0.985816 Number of target algorithm runs: 14 Number of successful target algorithm runs: 13 Number of crashed target algorithm runs: 0 Number of target algorithms that exceeded the time limit: 1 Number of target algorithms that exceeded the memory limit: 0 - Accuracy score 0.951048951048951 + Accuracy score 0.958041958041958 @@ -690,15 +626,7 @@ subsamples otherwise default_config = scenario.cs.get_default_configuration() /opt/hostedtoolcache/Python/3.8.7/x64/lib/python3.8/site-packages/smac/intensification/parallel_scheduling.py:149: UserWarning: SuccessiveHalving is intended to be used with more than 1 worker but num_workers=1 warnings.warn("{} is intended to be used " - [(0.240000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'extra_trees', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessing:numerical_transformer:imputation:strategy': 'median', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'none', 'feature_preprocessor:__choice__': 'polynomial', 'classifier:extra_trees:bootstrap': 'False', 'classifier:extra_trees:criterion': 'gini', 'classifier:extra_trees:max_depth': 'None', 'classifier:extra_trees:max_features': 0.5707983257382487, 'classifier:extra_trees:max_leaf_nodes': 'None', 'classifier:extra_trees:min_impurity_decrease': 0.0, 'classifier:extra_trees:min_samples_leaf': 3, 'classifier:extra_trees:min_samples_split': 11, 'classifier:extra_trees:min_weight_fraction_leaf': 0.0, 'feature_preprocessor:polynomial:degree': 2, 'feature_preprocessor:polynomial:include_bias': 'False', 'feature_preprocessor:polynomial:interaction_only': 'False'}, - dataset_properties={ - 'task': 1, - 'sparse': False, - 'multilabel': False, - 'multiclass': False, - 'target_type': 'classification', - 'signed': False})), - (0.220000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'extra_trees', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessing:numerical_transformer:imputation:strategy': 'median', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'normalize', 'feature_preprocessor:__choice__': 'extra_trees_preproc_for_classification', 'classifier:extra_trees:bootstrap': 'False', 'classifier:extra_trees:criterion': 'gini', 'classifier:extra_trees:max_depth': 'None', 'classifier:extra_trees:max_features': 0.9292309396985746, 'classifier:extra_trees:max_leaf_nodes': 'None', 'classifier:extra_trees:min_impurity_decrease': 0.0, 'classifier:extra_trees:min_samples_leaf': 1, 'classifier:extra_trees:min_samples_split': 10, 'classifier:extra_trees:min_weight_fraction_leaf': 0.0, 'data_preprocessing:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.032719158639429445, 'feature_preprocessor:extra_trees_preproc_for_classification:bootstrap': 'False', 'feature_preprocessor:extra_trees_preproc_for_classification:criterion': 'entropy', 'feature_preprocessor:extra_trees_preproc_for_classification:max_depth': 'None', 'feature_preprocessor:extra_trees_preproc_for_classification:max_features': 0.9929881254946676, 'feature_preprocessor:extra_trees_preproc_for_classification:max_leaf_nodes': 'None', 'feature_preprocessor:extra_trees_preproc_for_classification:min_impurity_decrease': 0.0, 'feature_preprocessor:extra_trees_preproc_for_classification:min_samples_leaf': 1, 'feature_preprocessor:extra_trees_preproc_for_classification:min_samples_split': 2, 'feature_preprocessor:extra_trees_preproc_for_classification:min_weight_fraction_leaf': 0.0, 'feature_preprocessor:extra_trees_preproc_for_classification:n_estimators': 100}, + [(0.280000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'extra_trees', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessing:numerical_transformer:imputation:strategy': 'median', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'none', 'feature_preprocessor:__choice__': 'polynomial', 'classifier:extra_trees:bootstrap': 'False', 'classifier:extra_trees:criterion': 'gini', 'classifier:extra_trees:max_depth': 'None', 'classifier:extra_trees:max_features': 0.5707983257382487, 'classifier:extra_trees:max_leaf_nodes': 'None', 'classifier:extra_trees:min_impurity_decrease': 0.0, 'classifier:extra_trees:min_samples_leaf': 3, 'classifier:extra_trees:min_samples_split': 11, 'classifier:extra_trees:min_weight_fraction_leaf': 0.0, 'feature_preprocessor:polynomial:degree': 2, 'feature_preprocessor:polynomial:include_bias': 'False', 'feature_preprocessor:polynomial:interaction_only': 'False'}, dataset_properties={ 'task': 1, 'sparse': False, @@ -706,7 +634,7 @@ subsamples otherwise 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.120000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'extra_trees', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessing:numerical_transformer:imputation:strategy': 'median', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'none', 'feature_preprocessor:__choice__': 'polynomial', 'classifier:extra_trees:bootstrap': 'False', 'classifier:extra_trees:criterion': 'gini', 'classifier:extra_trees:max_depth': 'None', 'classifier:extra_trees:max_features': 0.5707983257382487, 'classifier:extra_trees:max_leaf_nodes': 'None', 'classifier:extra_trees:min_impurity_decrease': 0.0, 'classifier:extra_trees:min_samples_leaf': 3, 'classifier:extra_trees:min_samples_split': 11, 'classifier:extra_trees:min_weight_fraction_leaf': 0.0, 'feature_preprocessor:polynomial:degree': 2, 'feature_preprocessor:polynomial:include_bias': 'False', 'feature_preprocessor:polynomial:interaction_only': 'False'}, + (0.180000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'extra_trees', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessing:numerical_transformer:imputation:strategy': 'median', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'none', 'feature_preprocessor:__choice__': 'polynomial', 'classifier:extra_trees:bootstrap': 'False', 'classifier:extra_trees:criterion': 'gini', 'classifier:extra_trees:max_depth': 'None', 'classifier:extra_trees:max_features': 0.5707983257382487, 'classifier:extra_trees:max_leaf_nodes': 'None', 'classifier:extra_trees:min_impurity_decrease': 0.0, 'classifier:extra_trees:min_samples_leaf': 3, 'classifier:extra_trees:min_samples_split': 11, 'classifier:extra_trees:min_weight_fraction_leaf': 0.0, 'feature_preprocessor:polynomial:degree': 2, 'feature_preprocessor:polynomial:include_bias': 'False', 'feature_preprocessor:polynomial:interaction_only': 'False'}, dataset_properties={ 'task': 1, 'sparse': False, @@ -714,7 +642,7 @@ subsamples otherwise 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.120000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'extra_trees', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessing:numerical_transformer:imputation:strategy': 'median', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'none', 'feature_preprocessor:__choice__': 'polynomial', 'classifier:extra_trees:bootstrap': 'False', 'classifier:extra_trees:criterion': 'gini', 'classifier:extra_trees:max_depth': 'None', 'classifier:extra_trees:max_features': 0.5707983257382487, 'classifier:extra_trees:max_leaf_nodes': 'None', 'classifier:extra_trees:min_impurity_decrease': 0.0, 'classifier:extra_trees:min_samples_leaf': 3, 'classifier:extra_trees:min_samples_split': 11, 'classifier:extra_trees:min_weight_fraction_leaf': 0.0, 'feature_preprocessor:polynomial:degree': 2, 'feature_preprocessor:polynomial:include_bias': 'False', 'feature_preprocessor:polynomial:interaction_only': 'False'}, + (0.140000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'extra_trees', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessing:numerical_transformer:imputation:strategy': 'median', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'none', 'feature_preprocessor:__choice__': 'polynomial', 'classifier:extra_trees:bootstrap': 'False', 'classifier:extra_trees:criterion': 'gini', 'classifier:extra_trees:max_depth': 'None', 'classifier:extra_trees:max_features': 0.5707983257382487, 'classifier:extra_trees:max_leaf_nodes': 'None', 'classifier:extra_trees:min_impurity_decrease': 0.0, 'classifier:extra_trees:min_samples_leaf': 3, 'classifier:extra_trees:min_samples_split': 11, 'classifier:extra_trees:min_weight_fraction_leaf': 0.0, 'feature_preprocessor:polynomial:degree': 2, 'feature_preprocessor:polynomial:include_bias': 'False', 'feature_preprocessor:polynomial:interaction_only': 'False'}, dataset_properties={ 'task': 1, 'sparse': False, @@ -722,7 +650,7 @@ subsamples otherwise 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.080000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'extra_trees', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessing:numerical_transformer:imputation:strategy': 'median', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'none', 'feature_preprocessor:__choice__': 'polynomial', 'classifier:extra_trees:bootstrap': 'False', 'classifier:extra_trees:criterion': 'gini', 'classifier:extra_trees:max_depth': 'None', 'classifier:extra_trees:max_features': 0.5707983257382487, 'classifier:extra_trees:max_leaf_nodes': 'None', 'classifier:extra_trees:min_impurity_decrease': 0.0, 'classifier:extra_trees:min_samples_leaf': 3, 'classifier:extra_trees:min_samples_split': 11, 'classifier:extra_trees:min_weight_fraction_leaf': 0.0, 'feature_preprocessor:polynomial:degree': 2, 'feature_preprocessor:polynomial:include_bias': 'False', 'feature_preprocessor:polynomial:interaction_only': 'False'}, + (0.140000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'extra_trees', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessing:numerical_transformer:imputation:strategy': 'median', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'normalize', 'feature_preprocessor:__choice__': 'extra_trees_preproc_for_classification', 'classifier:extra_trees:bootstrap': 'False', 'classifier:extra_trees:criterion': 'gini', 'classifier:extra_trees:max_depth': 'None', 'classifier:extra_trees:max_features': 0.9292309396985746, 'classifier:extra_trees:max_leaf_nodes': 'None', 'classifier:extra_trees:min_impurity_decrease': 0.0, 'classifier:extra_trees:min_samples_leaf': 1, 'classifier:extra_trees:min_samples_split': 10, 'classifier:extra_trees:min_weight_fraction_leaf': 0.0, 'data_preprocessing:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.032719158639429445, 'feature_preprocessor:extra_trees_preproc_for_classification:bootstrap': 'False', 'feature_preprocessor:extra_trees_preproc_for_classification:criterion': 'entropy', 'feature_preprocessor:extra_trees_preproc_for_classification:max_depth': 'None', 'feature_preprocessor:extra_trees_preproc_for_classification:max_features': 0.9929881254946676, 'feature_preprocessor:extra_trees_preproc_for_classification:max_leaf_nodes': 'None', 'feature_preprocessor:extra_trees_preproc_for_classification:min_impurity_decrease': 0.0, 'feature_preprocessor:extra_trees_preproc_for_classification:min_samples_leaf': 1, 'feature_preprocessor:extra_trees_preproc_for_classification:min_samples_split': 2, 'feature_preprocessor:extra_trees_preproc_for_classification:min_weight_fraction_leaf': 0.0, 'feature_preprocessor:extra_trees_preproc_for_classification:n_estimators': 100}, dataset_properties={ 'task': 1, 'sparse': False, @@ -730,7 +658,7 @@ subsamples otherwise 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.080000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'random_forest', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessing:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'standardize', 'feature_preprocessor:__choice__': 'no_preprocessing', 'classifier:random_forest:bootstrap': 'True', 'classifier:random_forest:criterion': 'gini', 'classifier:random_forest:max_depth': 'None', 'classifier:random_forest:max_features': 0.5, 'classifier:random_forest:max_leaf_nodes': 'None', 'classifier:random_forest:min_impurity_decrease': 0.0, 'classifier:random_forest:min_samples_leaf': 1, 'classifier:random_forest:min_samples_split': 2, 'classifier:random_forest:min_weight_fraction_leaf': 0.0, 'data_preprocessing:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.01}, + (0.100000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'random_forest', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessing:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'standardize', 'feature_preprocessor:__choice__': 'no_preprocessing', 'classifier:random_forest:bootstrap': 'True', 'classifier:random_forest:criterion': 'gini', 'classifier:random_forest:max_depth': 'None', 'classifier:random_forest:max_features': 0.5, 'classifier:random_forest:max_leaf_nodes': 'None', 'classifier:random_forest:min_impurity_decrease': 0.0, 'classifier:random_forest:min_samples_leaf': 1, 'classifier:random_forest:min_samples_split': 2, 'classifier:random_forest:min_weight_fraction_leaf': 0.0, 'data_preprocessing:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.01}, dataset_properties={ 'task': 1, 'sparse': False, @@ -738,7 +666,7 @@ subsamples otherwise 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.060000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'random_forest', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessing:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'standardize', 'feature_preprocessor:__choice__': 'no_preprocessing', 'classifier:random_forest:bootstrap': 'True', 'classifier:random_forest:criterion': 'gini', 'classifier:random_forest:max_depth': 'None', 'classifier:random_forest:max_features': 0.5, 'classifier:random_forest:max_leaf_nodes': 'None', 'classifier:random_forest:min_impurity_decrease': 0.0, 'classifier:random_forest:min_samples_leaf': 1, 'classifier:random_forest:min_samples_split': 2, 'classifier:random_forest:min_weight_fraction_leaf': 0.0, 'data_preprocessing:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.01}, + (0.060000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'random_forest', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessing:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'robust_scaler', 'feature_preprocessor:__choice__': 'extra_trees_preproc_for_classification', 'classifier:random_forest:bootstrap': 'True', 'classifier:random_forest:criterion': 'entropy', 'classifier:random_forest:max_depth': 'None', 'classifier:random_forest:max_features': 0.4775492074518431, 'classifier:random_forest:max_leaf_nodes': 'None', 'classifier:random_forest:min_impurity_decrease': 0.0, 'classifier:random_forest:min_samples_leaf': 2, 'classifier:random_forest:min_samples_split': 2, 'classifier:random_forest:min_weight_fraction_leaf': 0.0, 'data_preprocessing:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.015996368052062886, 'data_preprocessing:numerical_transformer:rescaling:robust_scaler:q_max': 0.7845396961078424, 'data_preprocessing:numerical_transformer:rescaling:robust_scaler:q_min': 0.25545052141264185, 'feature_preprocessor:extra_trees_preproc_for_classification:bootstrap': 'False', 'feature_preprocessor:extra_trees_preproc_for_classification:criterion': 'entropy', 'feature_preprocessor:extra_trees_preproc_for_classification:max_depth': 'None', 'feature_preprocessor:extra_trees_preproc_for_classification:max_features': 0.5662900693317384, 'feature_preprocessor:extra_trees_preproc_for_classification:max_leaf_nodes': 'None', 'feature_preprocessor:extra_trees_preproc_for_classification:min_impurity_decrease': 0.0, 'feature_preprocessor:extra_trees_preproc_for_classification:min_samples_leaf': 1, 'feature_preprocessor:extra_trees_preproc_for_classification:min_samples_split': 7, 'feature_preprocessor:extra_trees_preproc_for_classification:min_weight_fraction_leaf': 0.0, 'feature_preprocessor:extra_trees_preproc_for_classification:n_estimators': 100}, dataset_properties={ 'task': 1, 'sparse': False, @@ -746,7 +674,7 @@ subsamples otherwise 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.020000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'random_forest', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessing:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'standardize', 'feature_preprocessor:__choice__': 'no_preprocessing', 'classifier:random_forest:bootstrap': 'True', 'classifier:random_forest:criterion': 'gini', 'classifier:random_forest:max_depth': 'None', 'classifier:random_forest:max_features': 0.5, 'classifier:random_forest:max_leaf_nodes': 'None', 'classifier:random_forest:min_impurity_decrease': 0.0, 'classifier:random_forest:min_samples_leaf': 1, 'classifier:random_forest:min_samples_split': 2, 'classifier:random_forest:min_weight_fraction_leaf': 0.0, 'data_preprocessing:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.01}, + (0.040000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'random_forest', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessing:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'standardize', 'feature_preprocessor:__choice__': 'no_preprocessing', 'classifier:random_forest:bootstrap': 'True', 'classifier:random_forest:criterion': 'gini', 'classifier:random_forest:max_depth': 'None', 'classifier:random_forest:max_features': 0.5, 'classifier:random_forest:max_leaf_nodes': 'None', 'classifier:random_forest:min_impurity_decrease': 0.0, 'classifier:random_forest:min_samples_leaf': 1, 'classifier:random_forest:min_samples_split': 2, 'classifier:random_forest:min_weight_fraction_leaf': 0.0, 'data_preprocessing:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.01}, dataset_properties={ 'task': 1, 'sparse': False, @@ -754,15 +682,7 @@ subsamples otherwise 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.020000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'random_forest', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessing:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'standardize', 'feature_preprocessor:__choice__': 'no_preprocessing', 'classifier:random_forest:bootstrap': 'True', 'classifier:random_forest:criterion': 'entropy', 'classifier:random_forest:max_depth': 'None', 'classifier:random_forest:max_features': 0.926283631486858, 'classifier:random_forest:max_leaf_nodes': 'None', 'classifier:random_forest:min_impurity_decrease': 0.0, 'classifier:random_forest:min_samples_leaf': 7, 'classifier:random_forest:min_samples_split': 2, 'classifier:random_forest:min_weight_fraction_leaf': 0.0, 'data_preprocessing:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.16265262021972576}, - dataset_properties={ - 'task': 1, - 'sparse': False, - 'multilabel': False, - 'multiclass': False, - 'target_type': 'classification', - 'signed': False})), - (0.020000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'random_forest', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessing:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'standardize', 'feature_preprocessor:__choice__': 'no_preprocessing', 'classifier:random_forest:bootstrap': 'True', 'classifier:random_forest:criterion': 'entropy', 'classifier:random_forest:max_depth': 'None', 'classifier:random_forest:max_features': 0.926283631486858, 'classifier:random_forest:max_leaf_nodes': 'None', 'classifier:random_forest:min_impurity_decrease': 0.0, 'classifier:random_forest:min_samples_leaf': 7, 'classifier:random_forest:min_samples_split': 2, 'classifier:random_forest:min_weight_fraction_leaf': 0.0, 'data_preprocessing:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.16265262021972576}, + (0.040000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'random_forest', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessing:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'standardize', 'feature_preprocessor:__choice__': 'extra_trees_preproc_for_classification', 'classifier:random_forest:bootstrap': 'True', 'classifier:random_forest:criterion': 'gini', 'classifier:random_forest:max_depth': 'None', 'classifier:random_forest:max_features': 0.43999367631975456, 'classifier:random_forest:max_leaf_nodes': 'None', 'classifier:random_forest:min_impurity_decrease': 0.0, 'classifier:random_forest:min_samples_leaf': 2, 'classifier:random_forest:min_samples_split': 2, 'classifier:random_forest:min_weight_fraction_leaf': 0.0, 'feature_preprocessor:extra_trees_preproc_for_classification:bootstrap': 'True', 'feature_preprocessor:extra_trees_preproc_for_classification:criterion': 'entropy', 'feature_preprocessor:extra_trees_preproc_for_classification:max_depth': 'None', 'feature_preprocessor:extra_trees_preproc_for_classification:max_features': 0.8134515743047006, 'feature_preprocessor:extra_trees_preproc_for_classification:max_leaf_nodes': 'None', 'feature_preprocessor:extra_trees_preproc_for_classification:min_impurity_decrease': 0.0, 'feature_preprocessor:extra_trees_preproc_for_classification:min_samples_leaf': 9, 'feature_preprocessor:extra_trees_preproc_for_classification:min_samples_split': 20, 'feature_preprocessor:extra_trees_preproc_for_classification:min_weight_fraction_leaf': 0.0, 'feature_preprocessor:extra_trees_preproc_for_classification:n_estimators': 100}, dataset_properties={ 'task': 1, 'sparse': False, @@ -783,8 +703,8 @@ subsamples otherwise Dataset name: breast_cancer Metric: accuracy Best validation score: 0.985816 - Number of target algorithm runs: 16 - Number of successful target algorithm runs: 14 + Number of target algorithm runs: 14 + Number of successful target algorithm runs: 12 Number of crashed target algorithm runs: 0 Number of target algorithms that exceeded the time limit: 2 Number of target algorithms that exceeded the memory limit: 0 @@ -797,7 +717,7 @@ subsamples otherwise .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 3 minutes 2.950 seconds) + **Total running time of the script:** ( 3 minutes 1.959 seconds) .. _sphx_glr_download_examples_60_search_example_successive_halving.py: diff --git a/development/_sources/examples/60_search/sg_execution_times.rst.txt b/development/_sources/examples/60_search/sg_execution_times.rst.txt index 5cc88c03cd..aae7978da3 100644 --- a/development/_sources/examples/60_search/sg_execution_times.rst.txt +++ b/development/_sources/examples/60_search/sg_execution_times.rst.txt @@ -5,18 +5,18 @@ Computation times ================= -**10:20.925** total execution time for **examples_60_search** files: +**10:30.234** total execution time for **examples_60_search** files: +--------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_examples_60_search_example_successive_halving.py` (``example_successive_halving.py``) | 03:02.950 | 0.0 MB | +| :ref:`sphx_glr_examples_60_search_example_successive_halving.py` (``example_successive_halving.py``) | 03:01.959 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_examples_60_search_example_parallel_n_jobs.py` (``example_parallel_n_jobs.py``) | 02:04.370 | 0.0 MB | +| :ref:`sphx_glr_examples_60_search_example_parallel_n_jobs.py` (``example_parallel_n_jobs.py``) | 02:07.258 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_examples_60_search_example_sequential.py` (``example_sequential.py``) | 01:56.654 | 0.0 MB | +| :ref:`sphx_glr_examples_60_search_example_sequential.py` (``example_sequential.py``) | 01:56.808 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_examples_60_search_example_random_search.py` (``example_random_search.py``) | 01:51.580 | 0.0 MB | +| :ref:`sphx_glr_examples_60_search_example_random_search.py` (``example_random_search.py``) | 01:56.661 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_examples_60_search_example_parallel_manual_spawning_python.py` (``example_parallel_manual_spawning_python.py``) | 00:46.828 | 0.0 MB | +| :ref:`sphx_glr_examples_60_search_example_parallel_manual_spawning_python.py` (``example_parallel_manual_spawning_python.py``) | 00:46.835 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_examples_60_search_example_parallel_manual_spawning_cli.py` (``example_parallel_manual_spawning_cli.py``) | 00:38.542 | 0.0 MB | +| :ref:`sphx_glr_examples_60_search_example_parallel_manual_spawning_cli.py` (``example_parallel_manual_spawning_cli.py``) | 00:40.713 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ diff --git a/development/_sources/examples/80_extending/example_extending_classification.rst.txt b/development/_sources/examples/80_extending/example_extending_classification.rst.txt index 0a3bc37ca6..c1dde1a4ad 100644 --- a/development/_sources/examples/80_extending/example_extending_classification.rst.txt +++ b/development/_sources/examples/80_extending/example_extending_classification.rst.txt @@ -295,8 +295,8 @@ Print test accuracy and statistics .. code-block:: none - accuracy: 0.972027972027972 - [(0.500000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'MLPClassifier', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessing:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'standardize', 'feature_preprocessor:__choice__': 'no_preprocessing', 'classifier:MLPClassifier:activation': 'relu', 'classifier:MLPClassifier:alpha': 0.0001, 'classifier:MLPClassifier:hidden_layer_depth': 1, 'classifier:MLPClassifier:num_nodes_per_layer': 32, 'classifier:MLPClassifier:solver': 'adam', 'data_preprocessing:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.01}, + accuracy: 0.951048951048951 + [(0.460000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'MLPClassifier', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessing:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'minmax', 'feature_preprocessor:__choice__': 'extra_trees_preproc_for_classification', 'classifier:MLPClassifier:activation': 'tanh', 'classifier:MLPClassifier:alpha': 0.9264398101836582, 'classifier:MLPClassifier:hidden_layer_depth': 1, 'classifier:MLPClassifier:num_nodes_per_layer': 144, 'classifier:MLPClassifier:solver': 'adam', 'feature_preprocessor:extra_trees_preproc_for_classification:bootstrap': 'True', 'feature_preprocessor:extra_trees_preproc_for_classification:criterion': 'entropy', 'feature_preprocessor:extra_trees_preproc_for_classification:max_depth': 'None', 'feature_preprocessor:extra_trees_preproc_for_classification:max_features': 0.9063863139348133, 'feature_preprocessor:extra_trees_preproc_for_classification:max_leaf_nodes': 'None', 'feature_preprocessor:extra_trees_preproc_for_classification:min_impurity_decrease': 0.0, 'feature_preprocessor:extra_trees_preproc_for_classification:min_samples_leaf': 17, 'feature_preprocessor:extra_trees_preproc_for_classification:min_samples_split': 14, 'feature_preprocessor:extra_trees_preproc_for_classification:min_weight_fraction_leaf': 0.0, 'feature_preprocessor:extra_trees_preproc_for_classification:n_estimators': 100}, dataset_properties={ 'task': 1, 'sparse': False, @@ -304,7 +304,7 @@ Print test accuracy and statistics 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.220000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'MLPClassifier', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessing:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'minmax', 'feature_preprocessor:__choice__': 'extra_trees_preproc_for_classification', 'classifier:MLPClassifier:activation': 'tanh', 'classifier:MLPClassifier:alpha': 0.9264398101836582, 'classifier:MLPClassifier:hidden_layer_depth': 1, 'classifier:MLPClassifier:num_nodes_per_layer': 144, 'classifier:MLPClassifier:solver': 'adam', 'feature_preprocessor:extra_trees_preproc_for_classification:bootstrap': 'True', 'feature_preprocessor:extra_trees_preproc_for_classification:criterion': 'entropy', 'feature_preprocessor:extra_trees_preproc_for_classification:max_depth': 'None', 'feature_preprocessor:extra_trees_preproc_for_classification:max_features': 0.9063863139348133, 'feature_preprocessor:extra_trees_preproc_for_classification:max_leaf_nodes': 'None', 'feature_preprocessor:extra_trees_preproc_for_classification:min_impurity_decrease': 0.0, 'feature_preprocessor:extra_trees_preproc_for_classification:min_samples_leaf': 17, 'feature_preprocessor:extra_trees_preproc_for_classification:min_samples_split': 14, 'feature_preprocessor:extra_trees_preproc_for_classification:min_weight_fraction_leaf': 0.0, 'feature_preprocessor:extra_trees_preproc_for_classification:n_estimators': 100}, + (0.300000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'MLPClassifier', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessing:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'standardize', 'feature_preprocessor:__choice__': 'no_preprocessing', 'classifier:MLPClassifier:activation': 'relu', 'classifier:MLPClassifier:alpha': 0.0001, 'classifier:MLPClassifier:hidden_layer_depth': 1, 'classifier:MLPClassifier:num_nodes_per_layer': 32, 'classifier:MLPClassifier:solver': 'adam', 'data_preprocessing:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.01}, dataset_properties={ 'task': 1, 'sparse': False, @@ -312,7 +312,7 @@ Print test accuracy and statistics 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.220000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'MLPClassifier', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessing:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'normalize', 'feature_preprocessor:__choice__': 'liblinear_svc_preprocessor', 'classifier:MLPClassifier:activation': 'relu', 'classifier:MLPClassifier:alpha': 0.12457759510694098, 'classifier:MLPClassifier:hidden_layer_depth': 3, 'classifier:MLPClassifier:num_nodes_per_layer': 99, 'classifier:MLPClassifier:solver': 'lbfgs', 'feature_preprocessor:liblinear_svc_preprocessor:C': 134.08608166517868, 'feature_preprocessor:liblinear_svc_preprocessor:dual': 'False', 'feature_preprocessor:liblinear_svc_preprocessor:fit_intercept': 'True', 'feature_preprocessor:liblinear_svc_preprocessor:intercept_scaling': 1, 'feature_preprocessor:liblinear_svc_preprocessor:loss': 'squared_hinge', 'feature_preprocessor:liblinear_svc_preprocessor:multi_class': 'ovr', 'feature_preprocessor:liblinear_svc_preprocessor:penalty': 'l1', 'feature_preprocessor:liblinear_svc_preprocessor:tol': 0.005053273024538863}, + (0.160000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'MLPClassifier', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessing:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'normalize', 'feature_preprocessor:__choice__': 'liblinear_svc_preprocessor', 'classifier:MLPClassifier:activation': 'relu', 'classifier:MLPClassifier:alpha': 0.12457759510694098, 'classifier:MLPClassifier:hidden_layer_depth': 3, 'classifier:MLPClassifier:num_nodes_per_layer': 99, 'classifier:MLPClassifier:solver': 'lbfgs', 'feature_preprocessor:liblinear_svc_preprocessor:C': 134.08608166517868, 'feature_preprocessor:liblinear_svc_preprocessor:dual': 'False', 'feature_preprocessor:liblinear_svc_preprocessor:fit_intercept': 'True', 'feature_preprocessor:liblinear_svc_preprocessor:intercept_scaling': 1, 'feature_preprocessor:liblinear_svc_preprocessor:loss': 'squared_hinge', 'feature_preprocessor:liblinear_svc_preprocessor:multi_class': 'ovr', 'feature_preprocessor:liblinear_svc_preprocessor:penalty': 'l1', 'feature_preprocessor:liblinear_svc_preprocessor:tol': 0.005053273024538863}, dataset_properties={ 'task': 1, 'sparse': False, @@ -320,7 +320,15 @@ Print test accuracy and statistics 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.060000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'MLPClassifier', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessing:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'none', 'feature_preprocessor:__choice__': 'no_preprocessing', 'classifier:MLPClassifier:activation': 'logistic', 'classifier:MLPClassifier:alpha': 0.9521869738098419, 'classifier:MLPClassifier:hidden_layer_depth': 1, 'classifier:MLPClassifier:num_nodes_per_layer': 172, 'classifier:MLPClassifier:solver': 'lbfgs', 'data_preprocessing:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.007836973936351303}, + (0.040000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'MLPClassifier', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessing:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'robust_scaler', 'feature_preprocessor:__choice__': 'extra_trees_preproc_for_classification', 'classifier:MLPClassifier:activation': 'logistic', 'classifier:MLPClassifier:alpha': 0.8085399362082959, 'classifier:MLPClassifier:hidden_layer_depth': 2, 'classifier:MLPClassifier:num_nodes_per_layer': 87, 'classifier:MLPClassifier:solver': 'lbfgs', 'data_preprocessing:numerical_transformer:rescaling:robust_scaler:q_max': 0.8956544191280793, 'data_preprocessing:numerical_transformer:rescaling:robust_scaler:q_min': 0.03433346125068971, 'feature_preprocessor:extra_trees_preproc_for_classification:bootstrap': 'False', 'feature_preprocessor:extra_trees_preproc_for_classification:criterion': 'gini', 'feature_preprocessor:extra_trees_preproc_for_classification:max_depth': 'None', 'feature_preprocessor:extra_trees_preproc_for_classification:max_features': 0.8562110947570252, 'feature_preprocessor:extra_trees_preproc_for_classification:max_leaf_nodes': 'None', 'feature_preprocessor:extra_trees_preproc_for_classification:min_impurity_decrease': 0.0, 'feature_preprocessor:extra_trees_preproc_for_classification:min_samples_leaf': 19, 'feature_preprocessor:extra_trees_preproc_for_classification:min_samples_split': 4, 'feature_preprocessor:extra_trees_preproc_for_classification:min_weight_fraction_leaf': 0.0, 'feature_preprocessor:extra_trees_preproc_for_classification:n_estimators': 100}, + dataset_properties={ + 'task': 1, + 'sparse': False, + 'multilabel': False, + 'multiclass': False, + 'target_type': 'classification', + 'signed': False})), + (0.040000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'MLPClassifier', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessing:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'none', 'feature_preprocessor:__choice__': 'no_preprocessing', 'classifier:MLPClassifier:activation': 'logistic', 'classifier:MLPClassifier:alpha': 0.9521869738098419, 'classifier:MLPClassifier:hidden_layer_depth': 1, 'classifier:MLPClassifier:num_nodes_per_layer': 172, 'classifier:MLPClassifier:solver': 'lbfgs', 'data_preprocessing:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.007836973936351303}, dataset_properties={ 'task': 1, 'sparse': False, @@ -336,7 +344,7 @@ Print test accuracy and statistics .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 18.686 seconds) + **Total running time of the script:** ( 0 minutes 16.745 seconds) .. _sphx_glr_download_examples_80_extending_example_extending_classification.py: diff --git a/development/_sources/examples/80_extending/example_extending_preprocessor.rst.txt b/development/_sources/examples/80_extending/example_extending_preprocessor.rst.txt index 64015b0330..2a9920aabf 100644 --- a/development/_sources/examples/80_extending/example_extending_preprocessor.rst.txt +++ b/development/_sources/examples/80_extending/example_extending_preprocessor.rst.txt @@ -258,8 +258,8 @@ Print prediction score and statistics .. code-block:: none - accuracy: 0.958041958041958 - [(0.400000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'adaboost', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessing:numerical_transformer:imputation:strategy': 'median', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'quantile_transformer', 'feature_preprocessor:__choice__': 'LDA', 'classifier:adaboost:algorithm': 'SAMME.R', 'classifier:adaboost:learning_rate': 1.3647174429059878, 'classifier:adaboost:max_depth': 6, 'classifier:adaboost:n_estimators': 324, 'data_preprocessing:numerical_transformer:rescaling:quantile_transformer:n_quantiles': 1761, 'data_preprocessing:numerical_transformer:rescaling:quantile_transformer:output_distribution': 'normal', 'feature_preprocessor:LDA:solver': 'svd', 'feature_preprocessor:LDA:tol': 0.1377409740593341}, + accuracy: 0.965034965034965 + [(0.400000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'adaboost', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessing:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'minmax', 'feature_preprocessor:__choice__': 'LDA', 'classifier:adaboost:algorithm': 'SAMME.R', 'classifier:adaboost:learning_rate': 1.4861471145659388, 'classifier:adaboost:max_depth': 10, 'classifier:adaboost:n_estimators': 84, 'feature_preprocessor:LDA:solver': 'eigen', 'feature_preprocessor:LDA:tol': 0.8734817422890115, 'feature_preprocessor:LDA:shrinkage': 0.7525111817759726}, dataset_properties={ 'task': 1, 'sparse': False, @@ -275,7 +275,7 @@ Print prediction score and statistics 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.200000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'decision_tree', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessing:numerical_transformer:imputation:strategy': 'median', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'standardize', 'feature_preprocessor:__choice__': 'LDA', 'classifier:decision_tree:criterion': 'entropy', 'classifier:decision_tree:max_depth_factor': 0.24444152309162437, 'classifier:decision_tree:max_features': 1.0, 'classifier:decision_tree:max_leaf_nodes': 'None', 'classifier:decision_tree:min_impurity_decrease': 0.0, 'classifier:decision_tree:min_samples_leaf': 8, 'classifier:decision_tree:min_samples_split': 18, 'classifier:decision_tree:min_weight_fraction_leaf': 0.0, 'feature_preprocessor:LDA:solver': 'svd', 'feature_preprocessor:LDA:tol': 0.8460086013393683}, + (0.180000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'decision_tree', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessing:numerical_transformer:imputation:strategy': 'median', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'standardize', 'feature_preprocessor:__choice__': 'LDA', 'classifier:decision_tree:criterion': 'entropy', 'classifier:decision_tree:max_depth_factor': 0.24444152309162437, 'classifier:decision_tree:max_features': 1.0, 'classifier:decision_tree:max_leaf_nodes': 'None', 'classifier:decision_tree:min_impurity_decrease': 0.0, 'classifier:decision_tree:min_samples_leaf': 8, 'classifier:decision_tree:min_samples_split': 18, 'classifier:decision_tree:min_weight_fraction_leaf': 0.0, 'feature_preprocessor:LDA:solver': 'svd', 'feature_preprocessor:LDA:tol': 0.8460086013393683}, dataset_properties={ 'task': 1, 'sparse': False, @@ -283,7 +283,7 @@ Print prediction score and statistics 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.140000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'adaboost', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessing:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'minmax', 'feature_preprocessor:__choice__': 'LDA', 'classifier:adaboost:algorithm': 'SAMME.R', 'classifier:adaboost:learning_rate': 1.4861471145659388, 'classifier:adaboost:max_depth': 10, 'classifier:adaboost:n_estimators': 84, 'feature_preprocessor:LDA:solver': 'eigen', 'feature_preprocessor:LDA:tol': 0.8734817422890115, 'feature_preprocessor:LDA:shrinkage': 0.7525111817759726}, + (0.160000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'adaboost', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessing:numerical_transformer:imputation:strategy': 'median', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'quantile_transformer', 'feature_preprocessor:__choice__': 'LDA', 'classifier:adaboost:algorithm': 'SAMME.R', 'classifier:adaboost:learning_rate': 1.3647174429059878, 'classifier:adaboost:max_depth': 6, 'classifier:adaboost:n_estimators': 324, 'data_preprocessing:numerical_transformer:rescaling:quantile_transformer:n_quantiles': 1761, 'data_preprocessing:numerical_transformer:rescaling:quantile_transformer:output_distribution': 'normal', 'feature_preprocessor:LDA:solver': 'svd', 'feature_preprocessor:LDA:tol': 0.1377409740593341}, dataset_properties={ 'task': 1, 'sparse': False, @@ -299,7 +299,7 @@ Print prediction score and statistics .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 11.507 seconds) + **Total running time of the script:** ( 0 minutes 15.712 seconds) .. _sphx_glr_download_examples_80_extending_example_extending_preprocessor.py: diff --git a/development/_sources/examples/80_extending/example_extending_regression.rst.txt b/development/_sources/examples/80_extending/example_extending_regression.rst.txt index 9835e9df60..68f0b3c404 100644 --- a/development/_sources/examples/80_extending/example_extending_regression.rst.txt +++ b/development/_sources/examples/80_extending/example_extending_regression.rst.txt @@ -264,22 +264,22 @@ Print prediction score and statistics .. code-block:: none - r2 score: -0.8480555450533547 - [(0.500000, SimpleRegressionPipeline({'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessing:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'standardize', 'feature_preprocessor:__choice__': 'no_preprocessing', 'regressor:__choice__': 'KernelRidgeRegression', 'data_preprocessing:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.01, 'regressor:KernelRidgeRegression:alpha': 1.0, 'regressor:KernelRidgeRegression:gamma': 0.1, 'regressor:KernelRidgeRegression:kernel': 'polynomial', 'regressor:KernelRidgeRegression:coef0': 1.0, 'regressor:KernelRidgeRegression:degree': 3}, + r2 score: -0.7012809946394014 + [(0.820000, SimpleRegressionPipeline({'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessing:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'standardize', 'feature_preprocessor:__choice__': 'no_preprocessing', 'regressor:__choice__': 'KernelRidgeRegression', 'data_preprocessing:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.01, 'regressor:KernelRidgeRegression:alpha': 1.0, 'regressor:KernelRidgeRegression:gamma': 0.1, 'regressor:KernelRidgeRegression:kernel': 'polynomial', 'regressor:KernelRidgeRegression:coef0': 1.0, 'regressor:KernelRidgeRegression:degree': 3}, dataset_properties={ 'task': 4, 'sparse': False, 'multioutput': False, 'target_type': 'regression', 'signed': False})), - (0.260000, SimpleRegressionPipeline({'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessing:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'minmax', 'feature_preprocessor:__choice__': 'kitchen_sinks', 'regressor:__choice__': 'KernelRidgeRegression', 'feature_preprocessor:kitchen_sinks:gamma': 0.00473238660746417, 'feature_preprocessor:kitchen_sinks:n_components': 212, 'regressor:KernelRidgeRegression:alpha': 0.00504200052385338, 'regressor:KernelRidgeRegression:gamma': 0.00031588355920827163, 'regressor:KernelRidgeRegression:kernel': 'polynomial', 'regressor:KernelRidgeRegression:coef0': 0.0809011782758673, 'regressor:KernelRidgeRegression:degree': 2}, + (0.160000, SimpleRegressionPipeline({'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessing:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'minmax', 'feature_preprocessor:__choice__': 'kitchen_sinks', 'regressor:__choice__': 'KernelRidgeRegression', 'feature_preprocessor:kitchen_sinks:gamma': 0.00473238660746417, 'feature_preprocessor:kitchen_sinks:n_components': 212, 'regressor:KernelRidgeRegression:alpha': 0.00504200052385338, 'regressor:KernelRidgeRegression:gamma': 0.00031588355920827163, 'regressor:KernelRidgeRegression:kernel': 'polynomial', 'regressor:KernelRidgeRegression:coef0': 0.0809011782758673, 'regressor:KernelRidgeRegression:degree': 2}, dataset_properties={ 'task': 4, 'sparse': False, 'multioutput': False, 'target_type': 'regression', 'signed': False})), - (0.240000, SimpleRegressionPipeline({'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessing:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'quantile_transformer', 'feature_preprocessor:__choice__': 'random_trees_embedding', 'regressor:__choice__': 'KernelRidgeRegression', 'data_preprocessing:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.001818729822644953, 'data_preprocessing:numerical_transformer:rescaling:quantile_transformer:n_quantiles': 1701, 'data_preprocessing:numerical_transformer:rescaling:quantile_transformer:output_distribution': 'normal', 'feature_preprocessor:random_trees_embedding:bootstrap': 'True', 'feature_preprocessor:random_trees_embedding:max_depth': 6, 'feature_preprocessor:random_trees_embedding:max_leaf_nodes': 'None', 'feature_preprocessor:random_trees_embedding:min_samples_leaf': 12, 'feature_preprocessor:random_trees_embedding:min_samples_split': 16, 'feature_preprocessor:random_trees_embedding:min_weight_fraction_leaf': 1.0, 'feature_preprocessor:random_trees_embedding:n_estimators': 100, 'regressor:KernelRidgeRegression:alpha': 0.02351257718197114, 'regressor:KernelRidgeRegression:gamma': 0.011972301608556113, 'regressor:KernelRidgeRegression:kernel': 'polynomial', 'regressor:KernelRidgeRegression:coef0': 0.010474650948262332, 'regressor:KernelRidgeRegression:degree': 3}, + (0.020000, SimpleRegressionPipeline({'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessing:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'quantile_transformer', 'feature_preprocessor:__choice__': 'random_trees_embedding', 'regressor:__choice__': 'KernelRidgeRegression', 'data_preprocessing:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.001818729822644953, 'data_preprocessing:numerical_transformer:rescaling:quantile_transformer:n_quantiles': 1701, 'data_preprocessing:numerical_transformer:rescaling:quantile_transformer:output_distribution': 'normal', 'feature_preprocessor:random_trees_embedding:bootstrap': 'True', 'feature_preprocessor:random_trees_embedding:max_depth': 6, 'feature_preprocessor:random_trees_embedding:max_leaf_nodes': 'None', 'feature_preprocessor:random_trees_embedding:min_samples_leaf': 12, 'feature_preprocessor:random_trees_embedding:min_samples_split': 16, 'feature_preprocessor:random_trees_embedding:min_weight_fraction_leaf': 1.0, 'feature_preprocessor:random_trees_embedding:n_estimators': 100, 'regressor:KernelRidgeRegression:alpha': 0.02351257718197114, 'regressor:KernelRidgeRegression:gamma': 0.011972301608556113, 'regressor:KernelRidgeRegression:kernel': 'polynomial', 'regressor:KernelRidgeRegression:coef0': 0.010474650948262332, 'regressor:KernelRidgeRegression:degree': 3}, dataset_properties={ 'task': 4, 'sparse': False, @@ -294,7 +294,7 @@ Print prediction score and statistics .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 12.703 seconds) + **Total running time of the script:** ( 0 minutes 16.283 seconds) .. _sphx_glr_download_examples_80_extending_example_extending_regression.py: diff --git a/development/_sources/examples/80_extending/example_restrict_number_of_hyperparameters.rst.txt b/development/_sources/examples/80_extending/example_restrict_number_of_hyperparameters.rst.txt index bee2bb61c2..f59f5c7917 100644 --- a/development/_sources/examples/80_extending/example_restrict_number_of_hyperparameters.rst.txt +++ b/development/_sources/examples/80_extending/example_restrict_number_of_hyperparameters.rst.txt @@ -643,7 +643,7 @@ Print the configuration space .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 6.262 seconds) + **Total running time of the script:** ( 0 minutes 7.248 seconds) .. _sphx_glr_download_examples_80_extending_example_restrict_number_of_hyperparameters.py: diff --git a/development/_sources/examples/80_extending/sg_execution_times.rst.txt b/development/_sources/examples/80_extending/sg_execution_times.rst.txt index abe78c9f08..12241242f9 100644 --- a/development/_sources/examples/80_extending/sg_execution_times.rst.txt +++ b/development/_sources/examples/80_extending/sg_execution_times.rst.txt @@ -5,14 +5,14 @@ Computation times ================= -**00:49.157** total execution time for **examples_80_extending** files: +**00:55.988** total execution time for **examples_80_extending** files: +-----------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_examples_80_extending_example_extending_classification.py` (``example_extending_classification.py``) | 00:18.686 | 0.0 MB | +| :ref:`sphx_glr_examples_80_extending_example_extending_classification.py` (``example_extending_classification.py``) | 00:16.745 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_examples_80_extending_example_extending_regression.py` (``example_extending_regression.py``) | 00:12.703 | 0.0 MB | +| :ref:`sphx_glr_examples_80_extending_example_extending_regression.py` (``example_extending_regression.py``) | 00:16.283 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_examples_80_extending_example_extending_preprocessor.py` (``example_extending_preprocessor.py``) | 00:11.507 | 0.0 MB | +| :ref:`sphx_glr_examples_80_extending_example_extending_preprocessor.py` (``example_extending_preprocessor.py``) | 00:15.712 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_examples_80_extending_example_restrict_number_of_hyperparameters.py` (``example_restrict_number_of_hyperparameters.py``) | 00:06.262 | 0.0 MB | +| :ref:`sphx_glr_examples_80_extending_example_restrict_number_of_hyperparameters.py` (``example_restrict_number_of_hyperparameters.py``) | 00:07.248 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ diff --git a/development/examples/20_basic/example_classification.html b/development/examples/20_basic/example_classification.html index db69206de8..f2a57c239f 100644 --- a/development/examples/20_basic/example_classification.html +++ b/development/examples/20_basic/example_classification.html @@ -165,7 +165,7 @@

Print the final ensemble constructed by auto-sklearn

Out:

-
[(0.120000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'extra_trees', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessing:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'none', 'feature_preprocessor:__choice__': 'polynomial', 'classifier:extra_trees:bootstrap': 'False', 'classifier:extra_trees:criterion': 'entropy', 'classifier:extra_trees:max_depth': 'None', 'classifier:extra_trees:max_features': 0.07893369909771941, 'classifier:extra_trees:max_leaf_nodes': 'None', 'classifier:extra_trees:min_impurity_decrease': 0.0, 'classifier:extra_trees:min_samples_leaf': 14, 'classifier:extra_trees:min_samples_split': 20, 'classifier:extra_trees:min_weight_fraction_leaf': 0.0, 'feature_preprocessor:polynomial:degree': 3, 'feature_preprocessor:polynomial:include_bias': 'True', 'feature_preprocessor:polynomial:interaction_only': 'False'},
+
[(0.200000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'passive_aggressive', 'data_preprocessing:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessing:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessing:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessing:numerical_transformer:rescaling:__choice__': 'quantile_transformer', 'feature_preprocessor:__choice__': 'nystroem_sampler', 'classifier:passive_aggressive:C': 0.7397480291494921, 'classifier:passive_aggressive:average': 'True', 'classifier:passive_aggressive:fit_intercept': 'True', 'classifier:passive_aggressive:loss': 'squared_hinge', 'classifier:passive_aggressive:tol': 0.01303593402273202, 'data_preprocessing:numerical_transformer:rescaling:quantile_transformer:n_quantiles': 554, 'data_preprocessing:numerical_transformer:rescaling:quantile_transformer:output_distribution': 'normal', 'feature_preprocessor:nystroem_sampler:kernel': 'sigmoid', 'feature_preprocessor:nystroem_sampler:n_components': 7450, 'feature_preprocessor:nystroem_sampler:coef0': -0.7620489267210873, 'feature_preprocessor:nystroem_sampler:gamma': 3.161875832155603},
 dataset_properties={
   'task': 1,
   'sparse': False,
@@ -173,7 +173,7 @@ 
Print the final ensemble constructed by auto-sklearnPrint the final ensemble constructed by auto-sklearnPrint the final ensemble constructed by auto-sklearnPrint the final ensemble constructed by auto-sklearnPrint the final ensemble constructed by auto-sklearnPrint the final ensemble constructed by auto-sklearnPrint the final ensemble constructed by auto-sklearnPrint the final ensemble constructed by auto-sklearnPrint the final ensemble constructed by auto-sklearnPrint the final ensemble constructed by auto-sklearnPrint the final ensemble constructed by auto-sklearnPrint the final ensemble constructed by auto-sklearnPrint the final ensemble constructed by auto-sklearnGet the Score of the final ensembleOut:

-
Accuracy score: 0.9440559440559441
+
Accuracy score: 0.951048951048951
 

 

-
Total running time of the script: ( 2 minutes  4.826 seconds)

+
Total running time of the script: ( 2 minutes  6.174 seconds)