From af48d057b9376dd49828ae2b7adb070cec98691f Mon Sep 17 00:00:00 2001 From: Github Actions Date: Fri, 10 Sep 2021 14:17:42 +0000 Subject: [PATCH] Eddie Bergman: Extends github action `pytest` to allow for tests to run for 60m (up from 45m) (#1239) --- .../examples_python.zip | Bin 110135 -> 110135 bytes .../examples_jupyter.zip | Bin 157609 -> 157609 bytes ...hx_glr_example_inspect_predictions_001.png | Bin 15433 -> 16636 bytes ...hx_glr_example_inspect_predictions_002.png | Bin 276893 -> 273139 bytes ...hx_glr_example_inspect_predictions_003.png | Bin 42004 -> 39282 bytes ..._glr_example_inspect_predictions_thumb.png | Bin 13887 -> 14774 bytes ...sphx_glr_example_pandas_train_test_001.png | Bin 43894 -> 43264 bytes ...hx_glr_example_pandas_train_test_thumb.png | Bin 34018 -> 32938 bytes .../20_basic/example_classification.rst.txt | 88 ++++------ .../example_multilabel_classification.rst.txt | 4 +- .../example_multioutput_regression.rst.txt | 12 +- .../20_basic/example_regression.rst.txt | 12 +- .../20_basic/sg_execution_times.rst.txt | 10 +- .../example_calc_multiple_metrics.rst.txt | 2 +- .../40_advanced/example_debug_logging.rst.txt | 8 +- .../40_advanced/example_feature_types.rst.txt | 2 +- .../example_get_pipeline_components.rst.txt | 34 ++-- .../example_inspect_predictions.rst.txt | 16 +- .../example_interpretable_models.rst.txt | 2 +- .../40_advanced/example_metrics.rst.txt | 52 +++--- .../example_pandas_train_test.rst.txt | 4 +- .../40_advanced/example_resampling.rst.txt | 4 +- .../example_single_configuration.rst.txt | 61 +++---- .../40_advanced/sg_execution_times.rst.txt | 22 +-- ...ample_parallel_manual_spawning_cli.rst.txt | 8 +- ...le_parallel_manual_spawning_python.rst.txt | 10 +- .../60_search/example_parallel_n_jobs.rst.txt | 6 +- .../60_search/example_random_search.rst.txt | 144 +++++------------ .../60_search/example_sequential.rst.txt | 60 ++++--- .../example_successive_halving.rst.txt | 152 +++++++++--------- .../60_search/sg_execution_times.rst.txt | 14 +- .../example_extending_classification.rst.txt | 8 +- ...xample_extending_data_preprocessor.rst.txt | 4 +- .../example_extending_preprocessor.rst.txt | 4 +- .../example_extending_regression.rst.txt | 4 +- ...restrict_number_of_hyperparameters.rst.txt | 2 +- .../80_extending/sg_execution_times.rst.txt | 12 +- .../20_basic/example_classification.html | 86 ++++------ .../example_multilabel_classification.html | 4 +- .../example_multioutput_regression.html | 10 +- .../examples/20_basic/example_regression.html | 12 +- .../examples/20_basic/sg_execution_times.html | 16 +- .../example_calc_multiple_metrics.html | 2 +- .../40_advanced/example_debug_logging.html | 8 +- .../40_advanced/example_feature_types.html | 2 +- .../example_get_pipeline_components.html | 34 ++-- .../example_inspect_predictions.html | 16 +- .../example_interpretable_models.html | 2 +- .../examples/40_advanced/example_metrics.html | 52 +++--- .../example_pandas_train_test.html | 4 +- .../40_advanced/example_resampling.html | 4 +- .../example_single_configuration.html | 61 +++---- .../40_advanced/sg_execution_times.html | 26 +-- .../example_parallel_manual_spawning_cli.html | 8 +- ...ample_parallel_manual_spawning_python.html | 10 +- .../60_search/example_parallel_n_jobs.html | 6 +- .../60_search/example_random_search.html | 144 +++++------------ .../60_search/example_sequential.html | 60 ++++--- .../60_search/example_successive_halving.html | 152 +++++++++--------- .../60_search/sg_execution_times.html | 14 +- .../example_extending_classification.html | 8 +- .../example_extending_data_preprocessor.html | 4 +- .../example_extending_preprocessor.html | 4 +- .../example_extending_regression.html | 4 +- ...le_restrict_number_of_hyperparameters.html | 2 +- .../80_extending/sg_execution_times.html | 18 +-- development/searchindex.js | 2 +- 67 files changed, 691 insertions(+), 845 deletions(-) diff --git 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status=, starttime=1631282181.557564, endtime=1631282183.6159637, additional_info={'duration': 1.9398164749145508, 'num_run': 2, 'train_loss': 0.0, 'configuration_origin': 'Initial design'}) + RunValue(cost=0.07801418439716312, time=2.2497713565826416, status=, starttime=1631282346.1455958, endtime=1631282348.4175165, additional_info={'duration': 2.1327102184295654, '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=1.763808250427246, status=, starttime=1631282183.6753135, endtime=1631282185.4621637, additional_info={'duration': 1.6652922630310059, 'num_run': 3, 'train_loss': 0.06315789473684208, 'configuration_origin': 'Initial design'}) + RunValue(cost=0.07092198581560283, time=1.9583194255828857, status=, starttime=1631282348.4759932, endtime=1631282350.4595954, additional_info={'duration': 1.8516414165496826, '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=1.7897744178771973, status=, starttime=1631282185.5725982, endtime=1631282187.3866484, additional_info={'duration': 1.7171096801757812, 'num_run': 4, 'train_loss': 0.04210526315789476, 'configuration_origin': 'Initial design'}) + RunValue(cost=0.028368794326241176, time=1.9696462154388428, status=, starttime=1631282350.5766225, endtime=1631282352.5707958, additional_info={'duration': 1.8882865905761719, '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=0.8260533809661865, status=, starttime=1631282187.524149, endtime=1631282188.3726454, additional_info={'duration': 0.7510147094726562, 'num_run': 5, 'train_loss': 0.0, 'configuration_origin': 'Initial design'}) + RunValue(cost=0.1063829787234043, time=0.9009068012237549, status=, starttime=1631282352.7145653, endtime=1631282353.6379747, additional_info={'duration': 0.8192369937896729, '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=0.6848156452178955, status=, starttime=1631282188.528923, endtime=1631282189.2361732, additional_info={'duration': 0.6113417148590088, 'num_run': 6, 'train_loss': 0.09122807017543855, 'configuration_origin': 'Initial design'}) + RunValue(cost=0.11347517730496459, time=0.7428398132324219, status=, starttime=1631282353.804658, endtime=1631282354.5776129, additional_info={'duration': 0.666534423828125, '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=0.03546099290780147, time=0.9079265594482422, status=, starttime=1631282191.873163, endtime=1631282192.8069694, additional_info={'duration': 0.8317694664001465, 'num_run': 7, 'train_loss': 0.04561403508771933, 'configuration_origin': 'Random Search (sorted)'}) + RunValue(cost=0.03546099290780147, time=0.9998452663421631, status=, starttime=1631282357.558601, endtime=1631282358.5846424, additional_info={'duration': 0.9264123439788818, 'num_run': 7, 'train_loss': 0.04561403508771933, 'configuration_origin': 'Random Search (sorted)'}) ######### RunKey(config_id=7, instance_id='{"task_id": "breast_cancer"}', seed=0, budget=0.0) - RunValue(cost=0.05673758865248224, time=0.8366022109985352, status=, starttime=1631282195.5994413, endtime=1631282196.4592614, additional_info={'duration': 0.7641079425811768, 'num_run': 8, 'train_loss': 0.06315789473684208, 'configuration_origin': 'Random Search (sorted)'}) + RunValue(cost=0.05673758865248224, time=0.9400296211242676, status=, starttime=1631282361.897076, endtime=1631282362.8627753, additional_info={'duration': 0.8574907779693604, 'num_run': 8, 'train_loss': 0.06315789473684208, 'configuration_origin': 'Random Search (sorted)'}) ######### RunKey(config_id=8, instance_id='{"task_id": "breast_cancer"}', seed=0, budget=0.0) - RunValue(cost=0.028368794326241176, time=0.6892211437225342, status=, starttime=1631282196.690815, endtime=1631282197.4048796, additional_info={'duration': 0.6128628253936768, 'num_run': 9, 'train_loss': 0.007017543859649145, 'configuration_origin': 'Random Search'}) + RunValue(cost=0.028368794326241176, time=0.7487592697143555, status=, starttime=1631282363.1226318, endtime=1631282363.8961356, additional_info={'duration': 0.6748225688934326, 'num_run': 9, 'train_loss': 0.007017543859649145, 'configuration_origin': 'Random Search'}) ######### RunKey(config_id=9, instance_id='{"task_id": "breast_cancer"}', seed=0, budget=0.0) - RunValue(cost=1.0, time=0.0, status=, starttime=1631282200.7430394, endtime=1631282200.7430398, additional_info={}) + RunValue(cost=1.0, time=0.0, status=, starttime=1631282367.716324, endtime=1631282367.7163243, additional_info={}) @@ -522,11 +522,11 @@ The ``run_value`` contains all output from running the configuration: .. code-block:: none Cost: 0.07801418439716312 - Time: 2.037977695465088 + Time: 2.2497713565826416 Status: StatusType.SUCCESS - Additional information: {'duration': 1.9398164749145508, 'num_run': 2, 'train_loss': 0.0, 'configuration_origin': 'Initial design'} - Start time: 1631282181.557564 - End time 1631282183.6159637 + Additional information: {'duration': 2.1327102184295654, 'num_run': 2, 'train_loss': 0.0, 'configuration_origin': 'Initial design'} + Start time: 1631282346.1455958 + End time 1631282348.4175165 @@ -635,8 +635,8 @@ model_selection.GridSearchCV.html>`_. .. code-block:: none {'mean_test_score': array([0.92198582, 0.92907801, 0.97163121, 0.89361702, 0.88652482, - 0.96453901, 0.94326241, 0.97163121]), 'mean_fit_time': array([2.0379777 , 1.76380825, 1.78977442, 0.82605338, 0.68481565, - 0.90792656, 0.83660221, 0.68922114]), 'params': [{'balancing:strategy': 'none', 'classifier:__choice__': 'random_forest', 'data_preprocessor:__choice__': 'feature_type', '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_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'standardize', 'feature_preprocessor:pca:keep_variance': 0.9999, 'feature_preprocessor:pca:whiten': 'False', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.01}, {'balancing:strategy': 'none', 'classifier:__choice__': 'random_forest', 'data_preprocessor:__choice__': 'feature_type', '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_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'none', 'feature_preprocessor:pca:keep_variance': 0.9967857433838874, 'feature_preprocessor:pca:whiten': 'False', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.005069923784737444}, {'balancing:strategy': 'weighting', 'classifier:__choice__': 'mlp', 'data_preprocessor:__choice__': 'feature_type', '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_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'quantile_transformer', 'feature_preprocessor:pca:keep_variance': 0.7895711479212801, 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'feature_preprocessor:pca:keep_variance': 0.9290439925152777, 'feature_preprocessor:pca:whiten': 'False', 'classifier:libsvm_svc:coef0': 0.08087614244138486, 'classifier:libsvm_svc:degree': 3, 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.010000000000000004}, {'balancing:strategy': 'weighting', 'classifier:__choice__': 'liblinear_svc', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'pca', 'classifier:liblinear_svc:C': 10.369811497206404, 'classifier:liblinear_svc:dual': 'False', 'classifier:liblinear_svc:fit_intercept': 'True', 'classifier:liblinear_svc:intercept_scaling': 1, 'classifier:liblinear_svc:loss': 'squared_hinge', 'classifier:liblinear_svc:multi_class': 'ovr', 'classifier:liblinear_svc:penalty': 'l2', 'classifier:liblinear_svc:tol': 0.0015130257264171173, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'power_transformer', 'feature_preprocessor:pca:keep_variance': 0.6661824659281315, 'feature_preprocessor:pca:whiten': 'False'}, {'balancing:strategy': 'weighting', 'classifier:__choice__': 'decision_tree', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'pca', 'classifier:decision_tree:criterion': 'gini', 'classifier:decision_tree:max_depth_factor': 0.14069368736662313, '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': 5, 'classifier:decision_tree:min_samples_split': 19, 'classifier:decision_tree:min_weight_fraction_leaf': 0.0, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'quantile_transformer', 'feature_preprocessor:pca:keep_variance': 0.7772788812704434, 'feature_preprocessor:pca:whiten': 'True', 'data_preprocessor:feature_type:numerical_transformer:rescaling:quantile_transformer:n_quantiles': 526, 'data_preprocessor:feature_type:numerical_transformer:rescaling:quantile_transformer:output_distribution': 'uniform'}, {'balancing:strategy': 'none', 'classifier:__choice__': 'sgd', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'pca', 'classifier:sgd:alpha': 1.0333981795670597e-07, 'classifier:sgd:average': 'False', 'classifier:sgd:fit_intercept': 'True', 'classifier:sgd:learning_rate': 'constant', 'classifier:sgd:loss': 'modified_huber', 'classifier:sgd:penalty': 'l2', 'classifier:sgd:tol': 2.5846457091661748e-05, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'minmax', 'feature_preprocessor:pca:keep_variance': 0.9755563101648113, 'feature_preprocessor:pca:whiten': 'True', 'classifier:sgd:epsilon': 0.03457277874230573, 'classifier:sgd:eta0': 0.004635634934629576, 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.00015788887334393744}], 'rank_test_scores': array([6, 5, 1, 7, 8, 3, 4, 1]), 'status': ['Success', 'Success', 'Success', 'Success', 'Success', 'Success', 'Success', 'Success'], 'budgets': [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', 'weighting', 'weighting', 'none'], mask=[False, False, False, False, False, False, False, False], fill_value='N/A', @@ -1019,7 +1019,7 @@ The explained variance ratio per stage .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 26.563 seconds) + **Total running time of the script:** ( 0 minutes 28.847 seconds) .. _sphx_glr_download_examples_40_advanced_example_get_pipeline_components.py: diff --git a/development/_sources/examples/40_advanced/example_inspect_predictions.rst.txt b/development/_sources/examples/40_advanced/example_inspect_predictions.rst.txt index 79ee9b4287..e4c3f66bad 100644 --- a/development/_sources/examples/40_advanced/example_inspect_predictions.rst.txt +++ b/development/_sources/examples/40_advanced/example_inspect_predictions.rst.txt @@ -90,7 +90,7 @@ accelerometer and gyroscope data collected by a phone. For more information see .. code-block:: none - Train score 0.9954285714285714 + Train score 0.9951428571428571 Test score 0.982 @@ -143,12 +143,12 @@ in the `scikit-learn docs , 'balancing': Balancing(random_state=1), 'feature_preprocessor': , 'classifier': } + {'data_preprocessor': , 'balancing': Balancing(random_state=1, strategy='weighting'), 'feature_preprocessor': , 'classifier': } RunInfo(config=Configuration: - balancing:strategy, Value: 'none' + balancing:strategy, Value: 'weighting' classifier:__choice__, Value: 'random_forest' classifier:random_forest:bootstrap, Value: 'False' - classifier:random_forest:criterion, Value: 'entropy' + classifier:random_forest:criterion, Value: 'gini' classifier:random_forest:max_depth, Constant: 'None' - classifier:random_forest:max_features, Value: 0.7613645588909879 + classifier:random_forest:max_features, Value: 0.5617648009327952 classifier:random_forest:max_leaf_nodes, Constant: 'None' classifier:random_forest:min_impurity_decrease, Constant: 0.0 - classifier:random_forest:min_samples_leaf, Value: 7 + classifier:random_forest:min_samples_leaf, Value: 5 classifier:random_forest:min_samples_split, Value: 11 classifier:random_forest:min_weight_fraction_leaf, Constant: 0.0 data_preprocessor:__choice__, Value: 'feature_type' - data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__, Value: 'no_encoding' + data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__, Value: 'one_hot_encoding' data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__, Value: 'no_coalescense' - data_preprocessor:feature_type:numerical_transformer:imputation:strategy, Value: 'median' - data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__, Value: 'quantile_transformer' - data_preprocessor:feature_type:numerical_transformer:rescaling:quantile_transformer:n_quantiles, Value: 909 - data_preprocessor:feature_type:numerical_transformer:rescaling:quantile_transformer:output_distribution, Value: 'normal' - feature_preprocessor:__choice__, Value: 'feature_agglomeration' - feature_preprocessor:feature_agglomeration:affinity, Value: 'euclidean' - feature_preprocessor:feature_agglomeration:linkage, Value: 'ward' - feature_preprocessor:feature_agglomeration:n_clusters, Value: 212 - feature_preprocessor:feature_agglomeration:pooling_func, Value: 'max' + data_preprocessor:feature_type:numerical_transformer:imputation:strategy, Value: 'most_frequent' + data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__, Value: 'minmax' + feature_preprocessor:__choice__, Value: 'select_percentile_classification' + feature_preprocessor:select_percentile_classification:percentile, Value: 21.624077480994448 + feature_preprocessor:select_percentile_classification:score_func, Value: 'f_classif' , instance=None, instance_specific=None, seed=1, cutoff=60, capped=False, budget=0.0, source_id=0) - RunValue(cost=0.010426540284360186, time=2.7420847415924072, status=, starttime=1631281684.9311593, endtime=1631281687.6964247, additional_info={'duration': 2.6453771591186523, 'num_run': 2, 'train_loss': 0.006539000467071454, 'configuration_origin': None}) + RunValue(cost=0.05876777251184839, time=2.6265876293182373, status=, starttime=1631281825.237638, endtime=1631281827.8871558, additional_info={'duration': 2.538407802581787, 'num_run': 2, 'train_loss': 0.059318075665576786, 'configuration_origin': None}) Passed Configuration: Configuration: - balancing:strategy, Value: 'none' + balancing:strategy, Value: 'weighting' classifier:__choice__, Value: 'random_forest' classifier:random_forest:bootstrap, Value: 'False' - classifier:random_forest:criterion, Value: 'entropy' + classifier:random_forest:criterion, Value: 'gini' classifier:random_forest:max_depth, Constant: 'None' - classifier:random_forest:max_features, Value: 0.7613645588909879 + classifier:random_forest:max_features, Value: 0.5617648009327952 classifier:random_forest:max_leaf_nodes, Constant: 'None' classifier:random_forest:min_impurity_decrease, Constant: 0.0 - classifier:random_forest:min_samples_leaf, Value: 7 + classifier:random_forest:min_samples_leaf, Value: 5 classifier:random_forest:min_samples_split, Value: 11 classifier:random_forest:min_weight_fraction_leaf, Constant: 0.0 data_preprocessor:__choice__, Value: 'feature_type' - data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__, Value: 'no_encoding' + data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__, Value: 'one_hot_encoding' data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__, Value: 'no_coalescense' - data_preprocessor:feature_type:numerical_transformer:imputation:strategy, Value: 'median' - data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__, Value: 'quantile_transformer' - data_preprocessor:feature_type:numerical_transformer:rescaling:quantile_transformer:n_quantiles, Value: 909 - data_preprocessor:feature_type:numerical_transformer:rescaling:quantile_transformer:output_distribution, Value: 'normal' - feature_preprocessor:__choice__, Value: 'feature_agglomeration' - feature_preprocessor:feature_agglomeration:affinity, Value: 'euclidean' - feature_preprocessor:feature_agglomeration:linkage, Value: 'ward' - feature_preprocessor:feature_agglomeration:n_clusters, Value: 212 - feature_preprocessor:feature_agglomeration:pooling_func, Value: 'max' + data_preprocessor:feature_type:numerical_transformer:imputation:strategy, Value: 'most_frequent' + data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__, Value: 'minmax' + feature_preprocessor:__choice__, Value: 'select_percentile_classification' + feature_preprocessor:select_percentile_classification:percentile, Value: 21.624077480994448 + feature_preprocessor:select_percentile_classification:score_func, Value: 'f_classif' - Random Forest: RandomForestClassifier(bootstrap=False, criterion='entropy', max_features=15, - min_samples_leaf=7, min_samples_split=11, - n_estimators=512, n_jobs=1, random_state=1, - warm_start=True) + Random Forest: RandomForestClassifier(bootstrap=False, max_features=4, min_samples_leaf=5, + min_samples_split=11, n_estimators=512, n_jobs=1, + random_state=1, warm_start=True) @@ -224,7 +215,7 @@ Fit an user provided configuration .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 2 minutes 11.827 seconds) + **Total running time of the script:** ( 2 minutes 15.149 seconds) .. _sphx_glr_download_examples_40_advanced_example_single_configuration.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 60bfc5b2b9..77f9537fd2 100644 --- a/development/_sources/examples/40_advanced/sg_execution_times.rst.txt +++ b/development/_sources/examples/40_advanced/sg_execution_times.rst.txt @@ -5,26 +5,26 @@ Computation times ================= -**24:07.496** total execution time for **examples_40_advanced** files: +**24:45.170** total execution time for **examples_40_advanced** files: +------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_examples_40_advanced_example_resampling.py` (``example_resampling.py``) | 06:14.592 | 0.0 MB | +| :ref:`sphx_glr_examples_40_advanced_example_resampling.py` (``example_resampling.py``) | 06:31.489 | 0.0 MB | +------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_examples_40_advanced_example_metrics.py` (``example_metrics.py``) | 04:53.064 | 0.0 MB | +| :ref:`sphx_glr_examples_40_advanced_example_metrics.py` (``example_metrics.py``) | 04:51.133 | 0.0 MB | +------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_examples_40_advanced_example_inspect_predictions.py` (``example_inspect_predictions.py``) | 03:53.925 | 0.0 MB | +| :ref:`sphx_glr_examples_40_advanced_example_inspect_predictions.py` (``example_inspect_predictions.py``) | 03:58.328 | 0.0 MB | +------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_examples_40_advanced_example_single_configuration.py` (``example_single_configuration.py``) | 02:11.827 | 0.0 MB | +| :ref:`sphx_glr_examples_40_advanced_example_single_configuration.py` (``example_single_configuration.py``) | 02:15.149 | 0.0 MB | +------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_examples_40_advanced_example_calc_multiple_metrics.py` (``example_calc_multiple_metrics.py``) | 02:02.337 | 0.0 MB | +| :ref:`sphx_glr_examples_40_advanced_example_calc_multiple_metrics.py` (``example_calc_multiple_metrics.py``) | 02:12.088 | 0.0 MB | +------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_examples_40_advanced_example_pandas_train_test.py` (``example_pandas_train_test.py``) | 01:56.251 | 0.0 MB | +| :ref:`sphx_glr_examples_40_advanced_example_interpretable_models.py` (``example_interpretable_models.py``) | 01:56.130 | 0.0 MB | +------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_examples_40_advanced_example_interpretable_models.py` (``example_interpretable_models.py``) | 01:55.647 | 0.0 MB | +| :ref:`sphx_glr_examples_40_advanced_example_pandas_train_test.py` (``example_pandas_train_test.py``) | 01:55.822 | 0.0 MB | +------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_examples_40_advanced_example_get_pipeline_components.py` (``example_get_pipeline_components.py``) | 00:26.563 | 0.0 MB | +| :ref:`sphx_glr_examples_40_advanced_example_get_pipeline_components.py` (``example_get_pipeline_components.py``) | 00:28.847 | 0.0 MB | +------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_examples_40_advanced_example_debug_logging.py` (``example_debug_logging.py``) | 00:18.529 | 0.0 MB | +| :ref:`sphx_glr_examples_40_advanced_example_debug_logging.py` (``example_debug_logging.py``) | 00:20.726 | 0.0 MB | +------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_examples_40_advanced_example_feature_types.py` (``example_feature_types.py``) | 00:14.761 | 0.0 MB | +| :ref:`sphx_glr_examples_40_advanced_example_feature_types.py` (``example_feature_types.py``) | 00:15.459 | 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 e984ecade8..9ac656dcdd 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 @@ -301,11 +301,11 @@ Start Auto-sklearn .. code-block:: none auto-sklearn results: - Dataset name: 3436c512-1240-11ec-8642-6dc8225d4641 + Dataset name: 9ecad404-1240-11ec-8668-e1b8f8e61eaf Metric: accuracy Best validation score: 0.992908 - Number of target algorithm runs: 11 - Number of successful target algorithm runs: 10 + Number of target algorithm runs: 10 + Number of successful target algorithm runs: 9 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 @@ -342,7 +342,7 @@ line. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 40.073 seconds) + **Total running time of the script:** ( 0 minutes 37.914 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 48ffbd1025..72aa63b5b1 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 @@ -209,17 +209,17 @@ which means that it is automatically stopped once all computation is done. .. code-block:: none - [ERROR] [2021-09-10 14:06:38,556:asyncio] _GatheringFuture exception was never retrieved + [ERROR] [2021-09-10 14:09:35,202:asyncio] _GatheringFuture exception was never retrieved future: <_GatheringFuture finished exception=CancelledError()> asyncio.exceptions.CancelledError auto-sklearn results: - Dataset name: 4ba460d4-1240-11ec-8642-6dc8225d4641 + Dataset name: b4eb17db-1240-11ec-8668-e1b8f8e61eaf Metric: accuracy Best validation score: 0.992908 - Number of target algorithm runs: 13 + Number of target algorithm runs: 11 Number of successful target algorithm runs: 11 Number of crashed target algorithm runs: 0 - Number of target algorithms that exceeded the time limit: 2 + Number of target algorithms that exceeded the time limit: 0 Number of target algorithms that exceeded the memory limit: 0 Accuracy score 0.965034965034965 @@ -230,7 +230,7 @@ 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 35.962 seconds) + **Total running time of the script:** ( 0 minutes 35.972 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 bbc0821b91..4e6b74294e 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 @@ -113,8 +113,8 @@ To use ``n_jobs_`` we must guard the code Dataset name: breast_cancer Metric: accuracy Best validation score: 0.985816 - Number of target algorithm runs: 49 - Number of successful target algorithm runs: 48 + Number of target algorithm runs: 47 + Number of successful target algorithm runs: 46 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 @@ -126,7 +126,7 @@ To use ``n_jobs_`` we must guard the code .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 2 minutes 8.558 seconds) + **Total running time of the script:** ( 2 minutes 23.603 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 09795dae4b..ca82b822d4 100644 --- a/development/_sources/examples/60_search/example_random_search.rst.txt +++ b/development/_sources/examples/60_search/example_random_search.rst.txt @@ -152,7 +152,7 @@ Fit a classifier using ROAR 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.080000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'random_forest', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'select_rates_classification', 'classifier:random_forest:bootstrap': 'False', 'classifier:random_forest:criterion': 'entropy', 'classifier:random_forest:max_depth': 'None', 'classifier:random_forest:max_features': 0.13366756044911932, 'classifier:random_forest:max_leaf_nodes': 'None', 'classifier:random_forest:min_impurity_decrease': 0.0, 'classifier:random_forest:min_samples_leaf': 10, 'classifier:random_forest:min_samples_split': 18, 'classifier:random_forest:min_weight_fraction_leaf': 0.0, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'robust_scaler', 'feature_preprocessor:select_rates_classification:alpha': 0.06835899987255477, 'feature_preprocessor:select_rates_classification:score_func': 'chi2', 'data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_max': 0.791639810538127, 'data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_min': 0.2949722712387337, 'feature_preprocessor:select_rates_classification:mode': 'fwe'}, + (0.100000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'lda', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'liblinear_svc_preprocessor', 'classifier:lda:shrinkage': 'None', 'classifier:lda:tol': 1.3202262453017803e-05, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'minmax', 'feature_preprocessor:liblinear_svc_preprocessor:C': 6335.658297960351, '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': 0.00035301468680188074}, dataset_properties={ 'task': 1, 'sparse': False, @@ -160,7 +160,7 @@ Fit a classifier using ROAR 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.080000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'sgd', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'extra_trees_preproc_for_classification', 'classifier:sgd:alpha': 5.189696963506294e-05, 'classifier:sgd:average': 'False', 'classifier:sgd:fit_intercept': 'True', 'classifier:sgd:learning_rate': 'constant', 'classifier:sgd:loss': 'perceptron', 'classifier:sgd:penalty': 'l2', 'classifier:sgd:tol': 0.0005024616279807072, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'robust_scaler', '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': 0.477737759345916, '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': 16, '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, 'classifier:sgd:eta0': 0.007608275318572964, 'data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_max': 0.8953090913877264, 'data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_min': 0.26570274492806745}, + (0.080000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'adaboost', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'fast_ica', 'classifier:adaboost:algorithm': 'SAMME', 'classifier:adaboost:learning_rate': 1.6587261797143242, 'classifier:adaboost:max_depth': 8, 'classifier:adaboost:n_estimators': 368, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'median', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'normalize', 'feature_preprocessor:fast_ica:algorithm': 'parallel', 'feature_preprocessor:fast_ica:fun': 'cube', 'feature_preprocessor:fast_ica:whiten': 'True', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.00031132126574883666, 'feature_preprocessor:fast_ica:n_components': 530}, dataset_properties={ 'task': 1, 'sparse': False, @@ -168,7 +168,7 @@ Fit a classifier using ROAR 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.080000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'bernoulli_nb', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'select_percentile_classification', 'classifier:bernoulli_nb:alpha': 8.843515731149308, 'classifier:bernoulli_nb:fit_prior': 'True', 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'robust_scaler', 'feature_preprocessor:select_percentile_classification:percentile': 50.58615414999356, 'feature_preprocessor:select_percentile_classification:score_func': 'chi2', 'data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_max': 0.7852218490061461, 'data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_min': 0.15162626175424537}, + (0.060000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'lda', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'nystroem_sampler', 'classifier:lda:shrinkage': 'manual', 'classifier:lda:tol': 0.0001384744065375479, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'standardize', 'feature_preprocessor:nystroem_sampler:kernel': 'poly', 'feature_preprocessor:nystroem_sampler:n_components': 414, 'classifier:lda:shrinkage_factor': 0.2192999307296778, 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.0010364937923091088, 'feature_preprocessor:nystroem_sampler:coef0': 0.9586161969293623, 'feature_preprocessor:nystroem_sampler:degree': 4, 'feature_preprocessor:nystroem_sampler:gamma': 4.85086661900421e-05}, dataset_properties={ 'task': 1, 'sparse': False, @@ -176,7 +176,7 @@ Fit a classifier using ROAR 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.060000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'qda', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'select_percentile_classification', 'classifier:qda:reg_param': 0.23910875621465733, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'robust_scaler', 'feature_preprocessor:select_percentile_classification:percentile': 87.86214879612422, 'feature_preprocessor:select_percentile_classification:score_func': 'mutual_info', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.0015543757334360092, 'data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_max': 0.7530273530198002, 'data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_min': 0.0792482460648931}, + (0.060000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'random_forest', 'data_preprocessor:__choice__': 'feature_type', '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_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'standardize', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.01}, dataset_properties={ 'task': 1, 'sparse': False, @@ -184,7 +184,7 @@ Fit a classifier using ROAR 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.060000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'liblinear_svc', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'fast_ica', 'classifier:liblinear_svc:C': 64.64437157661465, 'classifier:liblinear_svc:dual': 'False', 'classifier:liblinear_svc:fit_intercept': 'True', 'classifier:liblinear_svc:intercept_scaling': 1, 'classifier:liblinear_svc:loss': 'squared_hinge', 'classifier:liblinear_svc:multi_class': 'ovr', 'classifier:liblinear_svc:penalty': 'l2', 'classifier:liblinear_svc:tol': 0.013399889539803811, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'none', 'feature_preprocessor:fast_ica:algorithm': 'deflation', 'feature_preprocessor:fast_ica:fun': 'exp', 'feature_preprocessor:fast_ica:whiten': 'True', 'feature_preprocessor:fast_ica:n_components': 43}, + (0.060000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'liblinear_svc', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'pca', 'classifier:liblinear_svc:C': 2.285306370007781, 'classifier:liblinear_svc:dual': 'False', 'classifier:liblinear_svc:fit_intercept': 'True', 'classifier:liblinear_svc:intercept_scaling': 1, 'classifier:liblinear_svc:loss': 'squared_hinge', 'classifier:liblinear_svc:multi_class': 'ovr', 'classifier:liblinear_svc:penalty': 'l2', 'classifier:liblinear_svc:tol': 0.005821344021856017, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'quantile_transformer', 'feature_preprocessor:pca:keep_variance': 0.7978382221839412, 'feature_preprocessor:pca:whiten': 'True', 'data_preprocessor:feature_type:numerical_transformer:rescaling:quantile_transformer:n_quantiles': 1644, 'data_preprocessor:feature_type:numerical_transformer:rescaling:quantile_transformer:output_distribution': 'normal'}, dataset_properties={ 'task': 1, 'sparse': False, @@ -192,7 +192,7 @@ Fit a classifier using ROAR 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.060000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'mlp', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'random_trees_embedding', 'classifier:mlp:activation': 'relu', 'classifier:mlp:alpha': 1.040063255316952e-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': 1, 'classifier:mlp:learning_rate_init': 0.0018475934154961247, 'classifier:mlp:n_iter_no_change': 32, 'classifier:mlp:num_nodes_per_layer': 35, 'classifier:mlp:shuffle': 'True', 'classifier:mlp:solver': 'adam', 'classifier:mlp:tol': 0.0001, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'none', 'feature_preprocessor:random_trees_embedding:bootstrap': 'True', 'feature_preprocessor:random_trees_embedding:max_depth': 9, 'feature_preprocessor:random_trees_embedding:max_leaf_nodes': 'None', 'feature_preprocessor:random_trees_embedding:min_samples_leaf': 6, 'feature_preprocessor:random_trees_embedding:min_samples_split': 17, 'feature_preprocessor:random_trees_embedding:min_weight_fraction_leaf': 1.0, 'feature_preprocessor:random_trees_embedding:n_estimators': 32, 'classifier:mlp:validation_fraction': 0.1}, + (0.060000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'bernoulli_nb', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'select_percentile_classification', 'classifier:bernoulli_nb:alpha': 8.843515731149308, 'classifier:bernoulli_nb:fit_prior': 'True', 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'robust_scaler', 'feature_preprocessor:select_percentile_classification:percentile': 50.58615414999356, 'feature_preprocessor:select_percentile_classification:score_func': 'chi2', 'data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_max': 0.7852218490061461, 'data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_min': 0.15162626175424537}, dataset_properties={ 'task': 1, 'sparse': False, @@ -200,7 +200,7 @@ Fit a classifier using ROAR 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.060000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'adaboost', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'fast_ica', 'classifier:adaboost:algorithm': 'SAMME', 'classifier:adaboost:learning_rate': 1.6587261797143242, 'classifier:adaboost:max_depth': 8, 'classifier:adaboost:n_estimators': 368, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'median', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'normalize', 'feature_preprocessor:fast_ica:algorithm': 'parallel', 'feature_preprocessor:fast_ica:fun': 'cube', 'feature_preprocessor:fast_ica:whiten': 'True', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.00031132126574883666, 'feature_preprocessor:fast_ica:n_components': 530}, + (0.060000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'passive_aggressive', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'kernel_pca', 'classifier:passive_aggressive:C': 0.114391364050916, 'classifier:passive_aggressive:average': 'False', 'classifier:passive_aggressive:fit_intercept': 'True', 'classifier:passive_aggressive:loss': 'hinge', 'classifier:passive_aggressive:tol': 1.3440590734654458e-05, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'normalize', 'feature_preprocessor:kernel_pca:kernel': 'sigmoid', 'feature_preprocessor:kernel_pca:n_components': 1117, 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.023878029144121318, 'feature_preprocessor:kernel_pca:coef0': -0.34481806774236556}, dataset_properties={ 'task': 1, 'sparse': False, @@ -208,7 +208,7 @@ Fit a classifier using ROAR 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.060000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'decision_tree', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'random_trees_embedding', 'classifier:decision_tree:criterion': 'gini', 'classifier:decision_tree:max_depth_factor': 0.6228726042266908, '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': 16, 'classifier:decision_tree:min_samples_split': 19, 'classifier:decision_tree:min_weight_fraction_leaf': 0.0, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'quantile_transformer', 'feature_preprocessor:random_trees_embedding:bootstrap': 'False', 'feature_preprocessor:random_trees_embedding:max_depth': 2, 'feature_preprocessor:random_trees_embedding:max_leaf_nodes': 'None', 'feature_preprocessor:random_trees_embedding:min_samples_leaf': 17, 'feature_preprocessor:random_trees_embedding:min_samples_split': 12, 'feature_preprocessor:random_trees_embedding:min_weight_fraction_leaf': 1.0, 'feature_preprocessor:random_trees_embedding:n_estimators': 38, 'data_preprocessor:feature_type:numerical_transformer:rescaling:quantile_transformer:n_quantiles': 606, 'data_preprocessor:feature_type:numerical_transformer:rescaling:quantile_transformer:output_distribution': 'uniform'}, + (0.040000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'qda', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'select_percentile_classification', 'classifier:qda:reg_param': 0.0995499108996053, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'quantile_transformer', 'feature_preprocessor:select_percentile_classification:percentile': 72.1351484889017, 'feature_preprocessor:select_percentile_classification:score_func': 'mutual_info', 'data_preprocessor:feature_type:numerical_transformer:rescaling:quantile_transformer:n_quantiles': 79, 'data_preprocessor:feature_type:numerical_transformer:rescaling:quantile_transformer:output_distribution': 'uniform'}, dataset_properties={ 'task': 1, 'sparse': False, @@ -216,23 +216,7 @@ Fit a classifier using ROAR 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.040000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'lda', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'nystroem_sampler', 'classifier:lda:shrinkage': 'manual', 'classifier:lda:tol': 0.0001384744065375479, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'standardize', 'feature_preprocessor:nystroem_sampler:kernel': 'poly', 'feature_preprocessor:nystroem_sampler:n_components': 414, 'classifier:lda:shrinkage_factor': 0.2192999307296778, 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.0010364937923091088, 'feature_preprocessor:nystroem_sampler:coef0': 0.9586161969293623, 'feature_preprocessor:nystroem_sampler:degree': 4, 'feature_preprocessor:nystroem_sampler:gamma': 4.85086661900421e-05}, - dataset_properties={ - 'task': 1, - 'sparse': False, - 'multilabel': False, - 'multiclass': False, - 'target_type': 'classification', - 'signed': False})), - (0.040000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'liblinear_svc', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'pca', 'classifier:liblinear_svc:C': 2.285306370007781, 'classifier:liblinear_svc:dual': 'False', 'classifier:liblinear_svc:fit_intercept': 'True', 'classifier:liblinear_svc:intercept_scaling': 1, 'classifier:liblinear_svc:loss': 'squared_hinge', 'classifier:liblinear_svc:multi_class': 'ovr', 'classifier:liblinear_svc:penalty': 'l2', 'classifier:liblinear_svc:tol': 0.005821344021856017, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'quantile_transformer', 'feature_preprocessor:pca:keep_variance': 0.7978382221839412, 'feature_preprocessor:pca:whiten': 'True', 'data_preprocessor:feature_type:numerical_transformer:rescaling:quantile_transformer:n_quantiles': 1644, 'data_preprocessor:feature_type:numerical_transformer:rescaling:quantile_transformer:output_distribution': 'normal'}, - dataset_properties={ - 'task': 1, - 'sparse': False, - 'multilabel': False, - 'multiclass': False, - 'target_type': 'classification', - 'signed': False})), - (0.040000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'passive_aggressive', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'extra_trees_preproc_for_classification', 'classifier:passive_aggressive:C': 1.4622203211010016e-05, 'classifier:passive_aggressive:average': 'True', 'classifier:passive_aggressive:fit_intercept': 'True', 'classifier:passive_aggressive:loss': 'hinge', 'classifier:passive_aggressive:tol': 0.0017964371726429177, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'power_transformer', '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': 0.10392737384710127, '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': 9, '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': 'none', 'classifier:__choice__': 'qda', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'select_percentile_classification', 'classifier:qda:reg_param': 0.23910875621465733, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'robust_scaler', 'feature_preprocessor:select_percentile_classification:percentile': 87.86214879612422, 'feature_preprocessor:select_percentile_classification:score_func': 'mutual_info', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.0015543757334360092, 'data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_max': 0.7530273530198002, 'data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_min': 0.0792482460648931}, dataset_properties={ 'task': 1, 'sparse': False, @@ -240,7 +224,7 @@ Fit a classifier using ROAR 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.020000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'random_forest', 'data_preprocessor:__choice__': 'feature_type', '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_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'standardize', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.01}, + (0.040000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'mlp', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'random_trees_embedding', 'classifier:mlp:activation': 'relu', 'classifier:mlp:alpha': 1.040063255316952e-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': 1, 'classifier:mlp:learning_rate_init': 0.0018475934154961247, 'classifier:mlp:n_iter_no_change': 32, 'classifier:mlp:num_nodes_per_layer': 35, 'classifier:mlp:shuffle': 'True', 'classifier:mlp:solver': 'adam', 'classifier:mlp:tol': 0.0001, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'none', 'feature_preprocessor:random_trees_embedding:bootstrap': 'True', 'feature_preprocessor:random_trees_embedding:max_depth': 9, 'feature_preprocessor:random_trees_embedding:max_leaf_nodes': 'None', 'feature_preprocessor:random_trees_embedding:min_samples_leaf': 6, 'feature_preprocessor:random_trees_embedding:min_samples_split': 17, 'feature_preprocessor:random_trees_embedding:min_weight_fraction_leaf': 1.0, 'feature_preprocessor:random_trees_embedding:n_estimators': 32, 'classifier:mlp:validation_fraction': 0.1}, dataset_properties={ 'task': 1, 'sparse': False, @@ -248,7 +232,7 @@ Fit a classifier using ROAR 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.020000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'qda', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'select_percentile_classification', 'classifier:qda:reg_param': 0.0995499108996053, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'quantile_transformer', 'feature_preprocessor:select_percentile_classification:percentile': 72.1351484889017, 'feature_preprocessor:select_percentile_classification:score_func': 'mutual_info', 'data_preprocessor:feature_type:numerical_transformer:rescaling:quantile_transformer:n_quantiles': 79, 'data_preprocessor:feature_type:numerical_transformer:rescaling:quantile_transformer:output_distribution': 'uniform'}, + (0.040000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'lda', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'liblinear_svc_preprocessor', 'classifier:lda:shrinkage': 'None', 'classifier:lda:tol': 0.035543606049804645, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'none', 'feature_preprocessor:liblinear_svc_preprocessor:C': 4.279105226196228, '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': 4.410651487451908e-05}, dataset_properties={ 'task': 1, 'sparse': False, @@ -256,7 +240,7 @@ Fit a classifier using ROAR 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.020000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'gradient_boosting', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'no_preprocessing', 'classifier:gradient_boosting:early_stop': 'valid', 'classifier:gradient_boosting:l2_regularization': 0.009193751229756878, 'classifier:gradient_boosting:learning_rate': 0.6836522210129492, 'classifier:gradient_boosting:loss': 'auto', 'classifier:gradient_boosting:max_bins': 255, 'classifier:gradient_boosting:max_depth': 'None', 'classifier:gradient_boosting:max_leaf_nodes': 828, 'classifier:gradient_boosting:min_samples_leaf': 3, 'classifier:gradient_boosting:scoring': 'loss', 'classifier:gradient_boosting:tol': 1e-07, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'normalize', 'classifier:gradient_boosting:n_iter_no_change': 6, 'classifier:gradient_boosting:validation_fraction': 0.28817393948552533, 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.00010868227587711292}, + (0.040000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'mlp', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'select_rates_classification', 'classifier:mlp:activation': 'tanh', 'classifier:mlp:alpha': 4.421745686388309e-05, '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': 0.0005485701552075972, 'classifier:mlp:n_iter_no_change': 32, 'classifier:mlp:num_nodes_per_layer': 36, 'classifier:mlp:shuffle': 'True', 'classifier:mlp:solver': 'adam', 'classifier:mlp:tol': 0.0001, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'minmax', 'feature_preprocessor:select_rates_classification:alpha': 0.44455023733729254, 'feature_preprocessor:select_rates_classification:score_func': 'mutual_info_classif'}, dataset_properties={ 'task': 1, 'sparse': False, @@ -264,7 +248,7 @@ Fit a classifier using ROAR 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.020000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'qda', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'no_preprocessing', 'classifier:qda:reg_param': 0.01667385805274091, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'median', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'robust_scaler', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.24966112905354662, 'data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_max': 0.8911872287672372, 'data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_min': 0.27951285357994865}, + (0.040000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'bernoulli_nb', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'no_preprocessing', 'classifier:bernoulli_nb:alpha': 0.04662763358613446, 'classifier:bernoulli_nb:fit_prior': 'False', 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'quantile_transformer', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.0007039340780305985, 'data_preprocessor:feature_type:numerical_transformer:rescaling:quantile_transformer:n_quantiles': 493, 'data_preprocessor:feature_type:numerical_transformer:rescaling:quantile_transformer:output_distribution': 'normal'}, dataset_properties={ 'task': 1, 'sparse': False, @@ -272,7 +256,7 @@ Fit a classifier using ROAR 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.020000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'lda', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'liblinear_svc_preprocessor', 'classifier:lda:shrinkage': 'None', 'classifier:lda:tol': 1.3202262453017803e-05, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'minmax', 'feature_preprocessor:liblinear_svc_preprocessor:C': 6335.658297960351, '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': 0.00035301468680188074}, + (0.040000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'bernoulli_nb', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'pca', 'classifier:bernoulli_nb:alpha': 0.010232681621243814, 'classifier:bernoulli_nb:fit_prior': 'True', 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'quantile_transformer', 'feature_preprocessor:pca:keep_variance': 0.7243940064641332, 'feature_preprocessor:pca:whiten': 'True', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.0032991588967262613, 'data_preprocessor:feature_type:numerical_transformer:rescaling:quantile_transformer:n_quantiles': 123, 'data_preprocessor:feature_type:numerical_transformer:rescaling:quantile_transformer:output_distribution': 'normal'}, dataset_properties={ 'task': 1, 'sparse': False, @@ -280,7 +264,7 @@ Fit a classifier using ROAR 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.020000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'lda', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'kernel_pca', 'classifier:lda:shrinkage': 'auto', 'classifier:lda:tol': 0.014034416932373166, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'median', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'power_transformer', 'feature_preprocessor:kernel_pca:kernel': 'cosine', 'feature_preprocessor:kernel_pca:n_components': 285, 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.0074025063474275335}, + (0.020000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'lda', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'no_preprocessing', 'classifier:lda:shrinkage': 'auto', 'classifier:lda:tol': 0.0004981675590462134, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'normalize', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.0012702067069091537}, dataset_properties={ 'task': 1, 'sparse': False, @@ -288,7 +272,7 @@ Fit a classifier using ROAR 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.020000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'lda', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'liblinear_svc_preprocessor', 'classifier:lda:shrinkage': 'None', 'classifier:lda:tol': 0.035543606049804645, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'none', 'feature_preprocessor:liblinear_svc_preprocessor:C': 4.279105226196228, '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': 4.410651487451908e-05}, + (0.020000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'gradient_boosting', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'no_preprocessing', 'classifier:gradient_boosting:early_stop': 'valid', 'classifier:gradient_boosting:l2_regularization': 0.009193751229756878, 'classifier:gradient_boosting:learning_rate': 0.6836522210129492, 'classifier:gradient_boosting:loss': 'auto', 'classifier:gradient_boosting:max_bins': 255, 'classifier:gradient_boosting:max_depth': 'None', 'classifier:gradient_boosting:max_leaf_nodes': 828, 'classifier:gradient_boosting:min_samples_leaf': 3, 'classifier:gradient_boosting:scoring': 'loss', 'classifier:gradient_boosting:tol': 1e-07, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'normalize', 'classifier:gradient_boosting:n_iter_no_change': 6, 'classifier:gradient_boosting:validation_fraction': 0.28817393948552533, 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.00010868227587711292}, dataset_properties={ 'task': 1, 'sparse': False, @@ -296,7 +280,7 @@ Fit a classifier using ROAR 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.020000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'mlp', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'select_rates_classification', 'classifier:mlp:activation': 'tanh', 'classifier:mlp:alpha': 4.421745686388309e-05, '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': 0.0005485701552075972, 'classifier:mlp:n_iter_no_change': 32, 'classifier:mlp:num_nodes_per_layer': 36, 'classifier:mlp:shuffle': 'True', 'classifier:mlp:solver': 'adam', 'classifier:mlp:tol': 0.0001, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'minmax', 'feature_preprocessor:select_rates_classification:alpha': 0.44455023733729254, 'feature_preprocessor:select_rates_classification:score_func': 'mutual_info_classif'}, + (0.020000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'qda', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'no_preprocessing', 'classifier:qda:reg_param': 0.01667385805274091, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'median', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'robust_scaler', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.24966112905354662, 'data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_max': 0.8911872287672372, 'data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_min': 0.27951285357994865}, dataset_properties={ 'task': 1, 'sparse': False, @@ -304,7 +288,7 @@ Fit a classifier using ROAR 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.020000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'sgd', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'fast_ica', 'classifier:sgd:alpha': 3.816570529036228e-06, 'classifier:sgd:average': 'False', 'classifier:sgd:fit_intercept': 'True', 'classifier:sgd:learning_rate': 'constant', 'classifier:sgd:loss': 'squared_hinge', 'classifier:sgd:penalty': 'elasticnet', 'classifier:sgd:tol': 0.000896391087588558, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'none', 'feature_preprocessor:fast_ica:algorithm': 'deflation', 'feature_preprocessor:fast_ica:fun': 'cube', 'feature_preprocessor:fast_ica:whiten': 'False', 'classifier:sgd:eta0': 0.043879389796003546, 'classifier:sgd:l1_ratio': 0.003142456770095119, 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.013637118017627287}, + (0.020000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'liblinear_svc', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'fast_ica', 'classifier:liblinear_svc:C': 64.64437157661465, 'classifier:liblinear_svc:dual': 'False', 'classifier:liblinear_svc:fit_intercept': 'True', 'classifier:liblinear_svc:intercept_scaling': 1, 'classifier:liblinear_svc:loss': 'squared_hinge', 'classifier:liblinear_svc:multi_class': 'ovr', 'classifier:liblinear_svc:penalty': 'l2', 'classifier:liblinear_svc:tol': 0.013399889539803811, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'none', 'feature_preprocessor:fast_ica:algorithm': 'deflation', 'feature_preprocessor:fast_ica:fun': 'exp', 'feature_preprocessor:fast_ica:whiten': 'True', 'feature_preprocessor:fast_ica:n_components': 43}, dataset_properties={ 'task': 1, 'sparse': False, @@ -312,7 +296,7 @@ Fit a classifier using ROAR 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.020000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'decision_tree', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'pca', 'classifier:decision_tree:criterion': 'entropy', 'classifier:decision_tree:max_depth_factor': 1.1387664107898294, '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': 9, 'classifier:decision_tree:min_weight_fraction_leaf': 0.0, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'none', 'feature_preprocessor:pca:keep_variance': 0.9503612101678187, 'feature_preprocessor:pca:whiten': 'True'}, + (0.020000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'lda', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'kernel_pca', 'classifier:lda:shrinkage': 'auto', 'classifier:lda:tol': 0.014034416932373166, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'median', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'power_transformer', 'feature_preprocessor:kernel_pca:kernel': 'cosine', 'feature_preprocessor:kernel_pca:n_components': 285, 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.0074025063474275335}, dataset_properties={ 'task': 1, 'sparse': False, @@ -320,7 +304,7 @@ Fit a classifier using ROAR 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.020000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'decision_tree', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'pca', 'classifier:decision_tree:criterion': 'entropy', 'classifier:decision_tree:max_depth_factor': 1.7056696489196201, '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': 18, 'classifier:decision_tree:min_samples_split': 8, 'classifier:decision_tree:min_weight_fraction_leaf': 0.0, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'median', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'robust_scaler', 'feature_preprocessor:pca:keep_variance': 0.927211764000264, 'feature_preprocessor:pca:whiten': 'False', 'data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_max': 0.9968675728600899, 'data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_min': 0.29662315421901003}, + (0.020000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'sgd', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'extra_trees_preproc_for_classification', 'classifier:sgd:alpha': 5.189696963506294e-05, 'classifier:sgd:average': 'False', 'classifier:sgd:fit_intercept': 'True', 'classifier:sgd:learning_rate': 'constant', 'classifier:sgd:loss': 'perceptron', 'classifier:sgd:penalty': 'l2', 'classifier:sgd:tol': 0.0005024616279807072, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'robust_scaler', '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': 0.477737759345916, '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': 16, '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, 'classifier:sgd:eta0': 0.007608275318572964, 'data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_max': 0.8953090913877264, 'data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_min': 0.26570274492806745}, dataset_properties={ 'task': 1, 'sparse': False, @@ -328,7 +312,7 @@ Fit a classifier using ROAR 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.020000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'bernoulli_nb', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'pca', 'classifier:bernoulli_nb:alpha': 0.010232681621243814, 'classifier:bernoulli_nb:fit_prior': 'True', 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'quantile_transformer', 'feature_preprocessor:pca:keep_variance': 0.7243940064641332, 'feature_preprocessor:pca:whiten': 'True', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.0032991588967262613, 'data_preprocessor:feature_type:numerical_transformer:rescaling:quantile_transformer:n_quantiles': 123, 'data_preprocessor:feature_type:numerical_transformer:rescaling:quantile_transformer:output_distribution': 'normal'}, + (0.020000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'sgd', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'fast_ica', 'classifier:sgd:alpha': 3.816570529036228e-06, 'classifier:sgd:average': 'False', 'classifier:sgd:fit_intercept': 'True', 'classifier:sgd:learning_rate': 'constant', 'classifier:sgd:loss': 'squared_hinge', 'classifier:sgd:penalty': 'elasticnet', 'classifier:sgd:tol': 0.000896391087588558, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'none', 'feature_preprocessor:fast_ica:algorithm': 'deflation', 'feature_preprocessor:fast_ica:fun': 'cube', 'feature_preprocessor:fast_ica:whiten': 'False', 'classifier:sgd:eta0': 0.043879389796003546, 'classifier:sgd:l1_ratio': 0.003142456770095119, 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.013637118017627287}, dataset_properties={ 'task': 1, 'sparse': False, @@ -341,10 +325,10 @@ Fit a classifier using ROAR Dataset name: breast_cancer Metric: accuracy Best validation score: 0.992908 - Number of target algorithm runs: 30 - Number of successful target algorithm runs: 28 + Number of target algorithm runs: 28 + Number of successful target algorithm runs: 27 Number of crashed target algorithm runs: 1 - 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 @@ -432,7 +416,7 @@ Fit a classifier using Random Search 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.100000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'liblinear_svc', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'pca', 'classifier:liblinear_svc:C': 2.285306370007781, 'classifier:liblinear_svc:dual': 'False', 'classifier:liblinear_svc:fit_intercept': 'True', 'classifier:liblinear_svc:intercept_scaling': 1, 'classifier:liblinear_svc:loss': 'squared_hinge', 'classifier:liblinear_svc:multi_class': 'ovr', 'classifier:liblinear_svc:penalty': 'l2', 'classifier:liblinear_svc:tol': 0.005821344021856017, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'quantile_transformer', 'feature_preprocessor:pca:keep_variance': 0.7978382221839412, 'feature_preprocessor:pca:whiten': 'True', 'data_preprocessor:feature_type:numerical_transformer:rescaling:quantile_transformer:n_quantiles': 1644, 'data_preprocessor:feature_type:numerical_transformer:rescaling:quantile_transformer:output_distribution': 'normal'}, + (0.100000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'qda', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'select_percentile_classification', 'classifier:qda:reg_param': 0.0995499108996053, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'quantile_transformer', 'feature_preprocessor:select_percentile_classification:percentile': 72.1351484889017, 'feature_preprocessor:select_percentile_classification:score_func': 'mutual_info', 'data_preprocessor:feature_type:numerical_transformer:rescaling:quantile_transformer:n_quantiles': 79, 'data_preprocessor:feature_type:numerical_transformer:rescaling:quantile_transformer:output_distribution': 'uniform'}, dataset_properties={ 'task': 1, 'sparse': False, @@ -440,7 +424,7 @@ Fit a classifier using Random Search 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.080000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'qda', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'select_percentile_classification', 'classifier:qda:reg_param': 0.0995499108996053, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'quantile_transformer', 'feature_preprocessor:select_percentile_classification:percentile': 72.1351484889017, 'feature_preprocessor:select_percentile_classification:score_func': 'mutual_info', 'data_preprocessor:feature_type:numerical_transformer:rescaling:quantile_transformer:n_quantiles': 79, 'data_preprocessor:feature_type:numerical_transformer:rescaling:quantile_transformer:output_distribution': 'uniform'}, + (0.100000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'passive_aggressive', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'kernel_pca', 'classifier:passive_aggressive:C': 0.114391364050916, 'classifier:passive_aggressive:average': 'False', 'classifier:passive_aggressive:fit_intercept': 'True', 'classifier:passive_aggressive:loss': 'hinge', 'classifier:passive_aggressive:tol': 1.3440590734654458e-05, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'normalize', 'feature_preprocessor:kernel_pca:kernel': 'sigmoid', 'feature_preprocessor:kernel_pca:n_components': 1117, 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.023878029144121318, 'feature_preprocessor:kernel_pca:coef0': -0.34481806774236556}, dataset_properties={ 'task': 1, 'sparse': False, @@ -448,7 +432,7 @@ Fit a classifier using Random Search 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.060000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'liblinear_svc', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'fast_ica', 'classifier:liblinear_svc:C': 64.64437157661465, 'classifier:liblinear_svc:dual': 'False', 'classifier:liblinear_svc:fit_intercept': 'True', 'classifier:liblinear_svc:intercept_scaling': 1, 'classifier:liblinear_svc:loss': 'squared_hinge', 'classifier:liblinear_svc:multi_class': 'ovr', 'classifier:liblinear_svc:penalty': 'l2', 'classifier:liblinear_svc:tol': 0.013399889539803811, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'none', 'feature_preprocessor:fast_ica:algorithm': 'deflation', 'feature_preprocessor:fast_ica:fun': 'exp', 'feature_preprocessor:fast_ica:whiten': 'True', 'feature_preprocessor:fast_ica:n_components': 43}, + (0.080000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'liblinear_svc', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'pca', 'classifier:liblinear_svc:C': 2.285306370007781, 'classifier:liblinear_svc:dual': 'False', 'classifier:liblinear_svc:fit_intercept': 'True', 'classifier:liblinear_svc:intercept_scaling': 1, 'classifier:liblinear_svc:loss': 'squared_hinge', 'classifier:liblinear_svc:multi_class': 'ovr', 'classifier:liblinear_svc:penalty': 'l2', 'classifier:liblinear_svc:tol': 0.005821344021856017, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'quantile_transformer', 'feature_preprocessor:pca:keep_variance': 0.7978382221839412, 'feature_preprocessor:pca:whiten': 'True', 'data_preprocessor:feature_type:numerical_transformer:rescaling:quantile_transformer:n_quantiles': 1644, 'data_preprocessor:feature_type:numerical_transformer:rescaling:quantile_transformer:output_distribution': 'normal'}, dataset_properties={ 'task': 1, 'sparse': False, @@ -456,7 +440,7 @@ Fit a classifier using Random Search 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.060000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'lda', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'liblinear_svc_preprocessor', 'classifier:lda:shrinkage': 'None', 'classifier:lda:tol': 0.035543606049804645, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'none', 'feature_preprocessor:liblinear_svc_preprocessor:C': 4.279105226196228, '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': 4.410651487451908e-05}, + (0.080000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'liblinear_svc', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'fast_ica', 'classifier:liblinear_svc:C': 64.64437157661465, 'classifier:liblinear_svc:dual': 'False', 'classifier:liblinear_svc:fit_intercept': 'True', 'classifier:liblinear_svc:intercept_scaling': 1, 'classifier:liblinear_svc:loss': 'squared_hinge', 'classifier:liblinear_svc:multi_class': 'ovr', 'classifier:liblinear_svc:penalty': 'l2', 'classifier:liblinear_svc:tol': 0.013399889539803811, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'none', 'feature_preprocessor:fast_ica:algorithm': 'deflation', 'feature_preprocessor:fast_ica:fun': 'exp', 'feature_preprocessor:fast_ica:whiten': 'True', 'feature_preprocessor:fast_ica:n_components': 43}, dataset_properties={ 'task': 1, 'sparse': False, @@ -464,7 +448,7 @@ Fit a classifier using Random Search 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.060000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'mlp', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'select_rates_classification', 'classifier:mlp:activation': 'tanh', 'classifier:mlp:alpha': 4.421745686388309e-05, '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': 0.0005485701552075972, 'classifier:mlp:n_iter_no_change': 32, 'classifier:mlp:num_nodes_per_layer': 36, 'classifier:mlp:shuffle': 'True', 'classifier:mlp:solver': 'adam', 'classifier:mlp:tol': 0.0001, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'minmax', 'feature_preprocessor:select_rates_classification:alpha': 0.44455023733729254, 'feature_preprocessor:select_rates_classification:score_func': 'mutual_info_classif'}, + (0.080000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'lda', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'liblinear_svc_preprocessor', 'classifier:lda:shrinkage': 'None', 'classifier:lda:tol': 1.3202262453017803e-05, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'minmax', 'feature_preprocessor:liblinear_svc_preprocessor:C': 6335.658297960351, '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': 0.00035301468680188074}, dataset_properties={ 'task': 1, 'sparse': False, @@ -472,7 +456,7 @@ Fit a classifier using Random Search 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.060000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'adaboost', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'fast_ica', 'classifier:adaboost:algorithm': 'SAMME', 'classifier:adaboost:learning_rate': 1.6587261797143242, 'classifier:adaboost:max_depth': 8, 'classifier:adaboost:n_estimators': 368, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'median', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'normalize', 'feature_preprocessor:fast_ica:algorithm': 'parallel', 'feature_preprocessor:fast_ica:fun': 'cube', 'feature_preprocessor:fast_ica:whiten': 'True', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.00031132126574883666, 'feature_preprocessor:fast_ica:n_components': 530}, + (0.080000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'lda', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'liblinear_svc_preprocessor', 'classifier:lda:shrinkage': 'None', 'classifier:lda:tol': 0.035543606049804645, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'none', 'feature_preprocessor:liblinear_svc_preprocessor:C': 4.279105226196228, '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': 4.410651487451908e-05}, dataset_properties={ 'task': 1, 'sparse': False, @@ -480,7 +464,7 @@ Fit a classifier using Random Search 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.060000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'bernoulli_nb', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'pca', 'classifier:bernoulli_nb:alpha': 0.010232681621243814, 'classifier:bernoulli_nb:fit_prior': 'True', 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'quantile_transformer', 'feature_preprocessor:pca:keep_variance': 0.7243940064641332, 'feature_preprocessor:pca:whiten': 'True', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.0032991588967262613, 'data_preprocessor:feature_type:numerical_transformer:rescaling:quantile_transformer:n_quantiles': 123, 'data_preprocessor:feature_type:numerical_transformer:rescaling:quantile_transformer:output_distribution': 'normal'}, + (0.060000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'passive_aggressive', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'extra_trees_preproc_for_classification', 'classifier:passive_aggressive:C': 1.4622203211010016e-05, 'classifier:passive_aggressive:average': 'True', 'classifier:passive_aggressive:fit_intercept': 'True', 'classifier:passive_aggressive:loss': 'hinge', 'classifier:passive_aggressive:tol': 0.0017964371726429177, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'power_transformer', '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': 0.10392737384710127, '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': 9, '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, @@ -488,7 +472,7 @@ Fit a classifier using Random Search 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.040000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'gradient_boosting', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'no_preprocessing', 'classifier:gradient_boosting:early_stop': 'valid', 'classifier:gradient_boosting:l2_regularization': 0.009193751229756878, 'classifier:gradient_boosting:learning_rate': 0.6836522210129492, 'classifier:gradient_boosting:loss': 'auto', 'classifier:gradient_boosting:max_bins': 255, 'classifier:gradient_boosting:max_depth': 'None', 'classifier:gradient_boosting:max_leaf_nodes': 828, 'classifier:gradient_boosting:min_samples_leaf': 3, 'classifier:gradient_boosting:scoring': 'loss', 'classifier:gradient_boosting:tol': 1e-07, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'normalize', 'classifier:gradient_boosting:n_iter_no_change': 6, 'classifier:gradient_boosting:validation_fraction': 0.28817393948552533, 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.00010868227587711292}, + (0.040000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'lda', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'nystroem_sampler', 'classifier:lda:shrinkage': 'manual', 'classifier:lda:tol': 0.0001384744065375479, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'standardize', 'feature_preprocessor:nystroem_sampler:kernel': 'poly', 'feature_preprocessor:nystroem_sampler:n_components': 414, 'classifier:lda:shrinkage_factor': 0.2192999307296778, 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.0010364937923091088, 'feature_preprocessor:nystroem_sampler:coef0': 0.9586161969293623, 'feature_preprocessor:nystroem_sampler:degree': 4, 'feature_preprocessor:nystroem_sampler:gamma': 4.85086661900421e-05}, dataset_properties={ 'task': 1, 'sparse': False, @@ -496,7 +480,7 @@ Fit a classifier using 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'feature_preprocessor:__choice__': 'no_preprocessing', 'classifier:lda:shrinkage': 'auto', 'classifier:lda:tol': 0.0004981675590462134, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'normalize', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.0012702067069091537}, + (0.020000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'random_forest', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'select_rates_classification', 'classifier:random_forest:bootstrap': 'False', 'classifier:random_forest:criterion': 'entropy', 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'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'select_rates_classification', 'classifier:lda:shrinkage': 'None', 'classifier:lda:tol': 0.018038793247120707, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'power_transformer', 'feature_preprocessor:select_rates_classification:alpha': 0.3720251865973017, 'feature_preprocessor:select_rates_classification:score_func': 'mutual_info_classif'}, - dataset_properties={ - 'task': 1, - 'sparse': False, - 'multilabel': False, - 'multiclass': False, - 'target_type': 'classification', - 'signed': False})), - (0.020000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'mlp', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'random_trees_embedding', 'classifier:mlp:activation': 'relu', 'classifier:mlp:alpha': 1.040063255316952e-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': 1, 'classifier:mlp:learning_rate_init': 0.0018475934154961247, 'classifier:mlp:n_iter_no_change': 32, 'classifier:mlp:num_nodes_per_layer': 35, 'classifier:mlp:shuffle': 'True', 'classifier:mlp:solver': 'adam', 'classifier:mlp:tol': 0.0001, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'most_frequent', 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0.999, 'classifier:mlp:early_stopping': 'train', 'classifier:mlp:epsilon': 1e-08, 'classifier:mlp:hidden_layer_depth': 3, 'classifier:mlp:learning_rate_init': 0.0005485701552075972, 'classifier:mlp:n_iter_no_change': 32, 'classifier:mlp:num_nodes_per_layer': 36, 'classifier:mlp:shuffle': 'True', 'classifier:mlp:solver': 'adam', 'classifier:mlp:tol': 0.0001, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'minmax', 'feature_preprocessor:select_rates_classification:alpha': 0.44455023733729254, 'feature_preprocessor:select_rates_classification:score_func': 'mutual_info_classif'}, dataset_properties={ 'task': 1, 'sparse': False, @@ -584,15 +544,7 @@ Fit a classifier using Random Search 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.020000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'sgd', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'fast_ica', 'classifier:sgd:alpha': 3.816570529036228e-06, 'classifier:sgd:average': 'False', 'classifier:sgd:fit_intercept': 'True', 'classifier:sgd:learning_rate': 'constant', 'classifier:sgd:loss': 'squared_hinge', 'classifier:sgd:penalty': 'elasticnet', 'classifier:sgd:tol': 0.000896391087588558, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'none', 'feature_preprocessor:fast_ica:algorithm': 'deflation', 'feature_preprocessor:fast_ica:fun': 'cube', 'feature_preprocessor:fast_ica:whiten': 'False', 'classifier:sgd:eta0': 0.043879389796003546, 'classifier:sgd:l1_ratio': 0.003142456770095119, 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.013637118017627287}, - dataset_properties={ - 'task': 1, - 'sparse': False, - 'multilabel': False, - 'multiclass': False, - 'target_type': 'classification', - 'signed': False})), - (0.020000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'passive_aggressive', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'extra_trees_preproc_for_classification', 'classifier:passive_aggressive:C': 1.4622203211010016e-05, 'classifier:passive_aggressive:average': 'True', 'classifier:passive_aggressive:fit_intercept': 'True', 'classifier:passive_aggressive:loss': 'hinge', 'classifier:passive_aggressive:tol': 0.0017964371726429177, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'power_transformer', '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': 0.10392737384710127, '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': 9, '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': 'weighting', 'classifier:__choice__': 'bernoulli_nb', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'no_preprocessing', 'classifier:bernoulli_nb:alpha': 0.04662763358613446, 'classifier:bernoulli_nb:fit_prior': 'False', 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'quantile_transformer', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.0007039340780305985, 'data_preprocessor:feature_type:numerical_transformer:rescaling:quantile_transformer:n_quantiles': 493, 'data_preprocessor:feature_type:numerical_transformer:rescaling:quantile_transformer:output_distribution': 'normal'}, dataset_properties={ 'task': 1, 'sparse': False, @@ -608,15 +560,7 @@ Fit a classifier using Random Search 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.020000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'bernoulli_nb', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'select_percentile_classification', 'classifier:bernoulli_nb:alpha': 8.843515731149308, 'classifier:bernoulli_nb:fit_prior': 'True', 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'robust_scaler', 'feature_preprocessor:select_percentile_classification:percentile': 50.58615414999356, 'feature_preprocessor:select_percentile_classification:score_func': 'chi2', 'data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_max': 0.7852218490061461, 'data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_min': 0.15162626175424537}, - dataset_properties={ - 'task': 1, - 'sparse': False, - 'multilabel': False, - 'multiclass': False, - 'target_type': 'classification', - 'signed': False})), - (0.020000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'passive_aggressive', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'kernel_pca', 'classifier:passive_aggressive:C': 0.114391364050916, 'classifier:passive_aggressive:average': 'False', 'classifier:passive_aggressive:fit_intercept': 'True', 'classifier:passive_aggressive:loss': 'hinge', 'classifier:passive_aggressive:tol': 1.3440590734654458e-05, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'normalize', 'feature_preprocessor:kernel_pca:kernel': 'sigmoid', 'feature_preprocessor:kernel_pca:n_components': 1117, 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.023878029144121318, 'feature_preprocessor:kernel_pca:coef0': -0.34481806774236556}, + (0.020000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'bernoulli_nb', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'pca', 'classifier:bernoulli_nb:alpha': 0.010232681621243814, 'classifier:bernoulli_nb:fit_prior': 'True', 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'quantile_transformer', 'feature_preprocessor:pca:keep_variance': 0.7243940064641332, 'feature_preprocessor:pca:whiten': 'True', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.0032991588967262613, 'data_preprocessor:feature_type:numerical_transformer:rescaling:quantile_transformer:n_quantiles': 123, 'data_preprocessor:feature_type:numerical_transformer:rescaling:quantile_transformer:output_distribution': 'normal'}, dataset_properties={ 'task': 1, 'sparse': False, @@ -629,13 +573,13 @@ Fit a classifier using Random Search Dataset name: breast_cancer Metric: accuracy Best validation score: 0.992908 - Number of target algorithm runs: 31 - Number of successful target algorithm runs: 29 + Number of target algorithm runs: 29 + Number of successful target algorithm runs: 27 Number of crashed target algorithm runs: 1 Number of target algorithms that exceeded the time limit: 1 Number of target algorithms that exceeded the memory limit: 0 - Accuracy score 0.9440559440559441 + Accuracy score 0.951048951048951 @@ -643,7 +587,7 @@ Fit a classifier using Random Search .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 1 minutes 54.708 seconds) + **Total running time of the script:** ( 1 minutes 55.955 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 c8ef28614b..070d96c975 100644 --- a/development/_sources/examples/60_search/example_sequential.rst.txt +++ b/development/_sources/examples/60_search/example_sequential.rst.txt @@ -132,7 +132,7 @@ Print the final ensemble constructed by auto-sklearn .. code-block:: none - [(0.120000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'extra_trees', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'feature_agglomeration', 'classifier:extra_trees:bootstrap': 'True', 'classifier:extra_trees:criterion': 'entropy', 'classifier:extra_trees:max_depth': 'None', 'classifier:extra_trees:max_features': 0.3871420537981852, 'classifier:extra_trees:max_leaf_nodes': 'None', 'classifier:extra_trees:min_impurity_decrease': 0.0, 'classifier:extra_trees:min_samples_leaf': 5, 'classifier:extra_trees:min_samples_split': 14, 'classifier:extra_trees:min_weight_fraction_leaf': 0.0, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'robust_scaler', 'feature_preprocessor:feature_agglomeration:affinity': 'manhattan', 'feature_preprocessor:feature_agglomeration:linkage': 'complete', 'feature_preprocessor:feature_agglomeration:n_clusters': 355, 'feature_preprocessor:feature_agglomeration:pooling_func': 'mean', 'data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_max': 0.726182961545702, 'data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_min': 0.02260942170772907}, + [(0.140000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'extra_trees', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'feature_agglomeration', 'classifier:extra_trees:bootstrap': 'True', 'classifier:extra_trees:criterion': 'entropy', 'classifier:extra_trees:max_depth': 'None', 'classifier:extra_trees:max_features': 0.3871420537981852, 'classifier:extra_trees:max_leaf_nodes': 'None', 'classifier:extra_trees:min_impurity_decrease': 0.0, 'classifier:extra_trees:min_samples_leaf': 5, 'classifier:extra_trees:min_samples_split': 14, 'classifier:extra_trees:min_weight_fraction_leaf': 0.0, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'robust_scaler', 'feature_preprocessor:feature_agglomeration:affinity': 'manhattan', 'feature_preprocessor:feature_agglomeration:linkage': 'complete', 'feature_preprocessor:feature_agglomeration:n_clusters': 355, 'feature_preprocessor:feature_agglomeration:pooling_func': 'mean', 'data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_max': 0.726182961545702, 'data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_min': 0.02260942170772907}, dataset_properties={ 'task': 1, 'sparse': False, @@ -140,7 +140,7 @@ Print the final ensemble constructed by auto-sklearn 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.120000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'libsvm_svc', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'feature_agglomeration', 'classifier:libsvm_svc:C': 0.07563955664363409, 'classifier:libsvm_svc:gamma': 1.9836355993007913, 'classifier:libsvm_svc:kernel': 'rbf', 'classifier:libsvm_svc:max_iter': -1, 'classifier:libsvm_svc:shrinking': 'True', 'classifier:libsvm_svc:tol': 0.005003173341372008, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'minmax', 'feature_preprocessor:feature_agglomeration:affinity': 'cosine', 'feature_preprocessor:feature_agglomeration:linkage': 'complete', 'feature_preprocessor:feature_agglomeration:n_clusters': 58, 'feature_preprocessor:feature_agglomeration:pooling_func': 'mean', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.15890408760884822}, + (0.120000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'extra_trees', 'data_preprocessor:__choice__': 'feature_type', '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': 0.4791448484072812, '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': 6, 'classifier:extra_trees:min_weight_fraction_leaf': 0.0, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'none', 'feature_preprocessor:polynomial:degree': 3, 'feature_preprocessor:polynomial:include_bias': 'True', 'feature_preprocessor:polynomial:interaction_only': 'True', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.17184142431776436}, dataset_properties={ 'task': 1, 'sparse': False, @@ -148,7 +148,7 @@ Print the final ensemble constructed by auto-sklearn 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.120000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'libsvm_svc', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'select_percentile_classification', 'classifier:libsvm_svc:C': 5121.989374401993, 'classifier:libsvm_svc:gamma': 0.0024386428371511353, 'classifier:libsvm_svc:kernel': 'rbf', 'classifier:libsvm_svc:max_iter': -1, 'classifier:libsvm_svc:shrinking': 'True', 'classifier:libsvm_svc:tol': 0.0706216214952021, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'median', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'robust_scaler', 'feature_preprocessor:select_percentile_classification:percentile': 90.1749860017522, 'feature_preprocessor:select_percentile_classification:score_func': 'chi2', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.00017888891850981892, 'data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_max': 0.7393440007191528, 'data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_min': 0.04986510953238}, + (0.100000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'mlp', 'data_preprocessor:__choice__': 'feature_type', '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, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'median', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'standardize', '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, @@ -156,7 +156,7 @@ Print the final ensemble constructed by auto-sklearn 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.080000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'extra_trees', 'data_preprocessor:__choice__': 'feature_type', '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': 0.4791448484072812, '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': 6, 'classifier:extra_trees:min_weight_fraction_leaf': 0.0, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'none', 'feature_preprocessor:polynomial:degree': 3, 'feature_preprocessor:polynomial:include_bias': 'True', 'feature_preprocessor:polynomial:interaction_only': 'True', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.17184142431776436}, + (0.080000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'extra_trees', 'data_preprocessor:__choice__': 'feature_type', '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, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'median', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'none', 'feature_preprocessor:polynomial:degree': 2, 'feature_preprocessor:polynomial:include_bias': 'False', 'feature_preprocessor:polynomial:interaction_only': 'False'}, dataset_properties={ 'task': 1, 'sparse': False, @@ -164,7 +164,7 @@ Print the final ensemble constructed by auto-sklearn 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.080000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'mlp', 'data_preprocessor:__choice__': 'feature_type', '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, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'median', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'standardize', '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}, + (0.080000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'liblinear_svc', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'select_percentile_classification', 'classifier:liblinear_svc:C': 140.23434217313954, 'classifier:liblinear_svc:dual': 'False', 'classifier:liblinear_svc:fit_intercept': 'True', 'classifier:liblinear_svc:intercept_scaling': 1, 'classifier:liblinear_svc:loss': 'squared_hinge', 'classifier:liblinear_svc:multi_class': 'ovr', 'classifier:liblinear_svc:penalty': 'l2', 'classifier:liblinear_svc:tol': 0.0002944604673080368, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'quantile_transformer', 'feature_preprocessor:select_percentile_classification:percentile': 29.807816607300627, 'feature_preprocessor:select_percentile_classification:score_func': 'chi2', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.034330895903523305, 'data_preprocessor:feature_type:numerical_transformer:rescaling:quantile_transformer:n_quantiles': 1450, 'data_preprocessor:feature_type:numerical_transformer:rescaling:quantile_transformer:output_distribution': 'uniform'}, dataset_properties={ 'task': 1, 'sparse': False, @@ -172,7 +172,7 @@ Print the final ensemble constructed by auto-sklearn 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.060000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'extra_trees', 'data_preprocessor:__choice__': 'feature_type', '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, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'median', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'none', 'feature_preprocessor:polynomial:degree': 2, 'feature_preprocessor:polynomial:include_bias': 'False', 'feature_preprocessor:polynomial:interaction_only': 'False'}, + (0.060000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'gradient_boosting', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'select_percentile_classification', 'classifier:gradient_boosting:early_stop': 'train', 'classifier:gradient_boosting:l2_regularization': 3.387912939529945e-10, 'classifier:gradient_boosting:learning_rate': 0.30755227194768237, 'classifier:gradient_boosting:loss': 'auto', 'classifier:gradient_boosting:max_bins': 255, 'classifier:gradient_boosting:max_depth': 'None', 'classifier:gradient_boosting:max_leaf_nodes': 60, 'classifier:gradient_boosting:min_samples_leaf': 39, 'classifier:gradient_boosting:scoring': 'loss', 'classifier:gradient_boosting:tol': 1e-07, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'none', 'feature_preprocessor:select_percentile_classification:percentile': 93.39844669585806, 'feature_preprocessor:select_percentile_classification:score_func': 'f_classif', 'classifier:gradient_boosting:n_iter_no_change': 18, 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.010000000000000004}, dataset_properties={ 'task': 1, 'sparse': False, @@ -180,7 +180,7 @@ Print the final ensemble constructed by auto-sklearn 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.060000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'extra_trees', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'no_preprocessing', 'classifier:extra_trees:bootstrap': 'False', 'classifier:extra_trees:criterion': 'gini', 'classifier:extra_trees:max_depth': 'None', 'classifier:extra_trees:max_features': 0.661377361743419, 'classifier:extra_trees:max_leaf_nodes': 'None', 'classifier:extra_trees:min_impurity_decrease': 0.0, 'classifier:extra_trees:min_samples_leaf': 2, 'classifier:extra_trees:min_samples_split': 13, 'classifier:extra_trees:min_weight_fraction_leaf': 0.0, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'none'}, + (0.060000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'gradient_boosting', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'extra_trees_preproc_for_classification', 'classifier:gradient_boosting:early_stop': 'valid', 'classifier:gradient_boosting:l2_regularization': 8.057778875694463e-05, 'classifier:gradient_boosting:learning_rate': 0.09179220974965213, 'classifier:gradient_boosting:loss': 'auto', 'classifier:gradient_boosting:max_bins': 255, 'classifier:gradient_boosting:max_depth': 'None', 'classifier:gradient_boosting:max_leaf_nodes': 200, 'classifier:gradient_boosting:min_samples_leaf': 20, 'classifier:gradient_boosting:scoring': 'loss', 'classifier:gradient_boosting:tol': 1e-07, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'quantile_transformer', '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': 0.9984367650965825, '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': 18, 'feature_preprocessor:extra_trees_preproc_for_classification:min_weight_fraction_leaf': 0.0, 'feature_preprocessor:extra_trees_preproc_for_classification:n_estimators': 100, 'classifier:gradient_boosting:n_iter_no_change': 18, 'classifier:gradient_boosting:validation_fraction': 0.14295295806077554, 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.008542188583124829, 'data_preprocessor:feature_type:numerical_transformer:rescaling:quantile_transformer:n_quantiles': 1102, 'data_preprocessor:feature_type:numerical_transformer:rescaling:quantile_transformer:output_distribution': 'uniform'}, dataset_properties={ 'task': 1, 'sparse': False, @@ -188,7 +188,7 @@ Print the final ensemble constructed by auto-sklearn 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.060000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'extra_trees', 'data_preprocessor:__choice__': 'feature_type', '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_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'median', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'normalize', '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, 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.032719158639429445}, + (0.060000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'bernoulli_nb', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'select_rates_classification', 'classifier:bernoulli_nb:alpha': 39.87397441278958, 'classifier:bernoulli_nb:fit_prior': 'False', 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'median', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'standardize', 'feature_preprocessor:select_rates_classification:alpha': 0.3094962987325228, 'feature_preprocessor:select_rates_classification:score_func': 'mutual_info_classif', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.09580337973953734}, dataset_properties={ 'task': 1, 'sparse': False, @@ -196,7 +196,7 @@ Print the final ensemble constructed by auto-sklearn 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.040000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'random_forest', 'data_preprocessor:__choice__': 'feature_type', '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_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'minmax', 'feature_preprocessor:select_percentile_classification:percentile': 56.97947373958566, 'feature_preprocessor:select_percentile_classification:score_func': 'mutual_info', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.42693600390988135}, + (0.040000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'extra_trees', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'no_preprocessing', 'classifier:extra_trees:bootstrap': 'False', 'classifier:extra_trees:criterion': 'gini', 'classifier:extra_trees:max_depth': 'None', 'classifier:extra_trees:max_features': 0.661377361743419, 'classifier:extra_trees:max_leaf_nodes': 'None', 'classifier:extra_trees:min_impurity_decrease': 0.0, 'classifier:extra_trees:min_samples_leaf': 2, 'classifier:extra_trees:min_samples_split': 13, 'classifier:extra_trees:min_weight_fraction_leaf': 0.0, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'none'}, dataset_properties={ 'task': 1, 'sparse': False, @@ -204,7 +204,7 @@ Print the final ensemble constructed by auto-sklearn 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.040000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'gradient_boosting', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'extra_trees_preproc_for_classification', 'classifier:gradient_boosting:early_stop': 'valid', 'classifier:gradient_boosting:l2_regularization': 8.057778875694463e-05, 'classifier:gradient_boosting:learning_rate': 0.09179220974965213, 'classifier:gradient_boosting:loss': 'auto', 'classifier:gradient_boosting:max_bins': 255, 'classifier:gradient_boosting:max_depth': 'None', 'classifier:gradient_boosting:max_leaf_nodes': 200, 'classifier:gradient_boosting:min_samples_leaf': 20, 'classifier:gradient_boosting:scoring': 'loss', 'classifier:gradient_boosting:tol': 1e-07, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'quantile_transformer', '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': 0.9984367650965825, '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': 18, 'feature_preprocessor:extra_trees_preproc_for_classification:min_weight_fraction_leaf': 0.0, 'feature_preprocessor:extra_trees_preproc_for_classification:n_estimators': 100, 'classifier:gradient_boosting:n_iter_no_change': 18, 'classifier:gradient_boosting:validation_fraction': 0.14295295806077554, 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.008542188583124829, 'data_preprocessor:feature_type:numerical_transformer:rescaling:quantile_transformer:n_quantiles': 1102, 'data_preprocessor:feature_type:numerical_transformer:rescaling:quantile_transformer:output_distribution': 'uniform'}, + (0.040000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'gradient_boosting', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'extra_trees_preproc_for_classification', 'classifier:gradient_boosting:early_stop': 'train', 'classifier:gradient_boosting:l2_regularization': 0.4635442279519353, 'classifier:gradient_boosting:learning_rate': 0.09809681787962342, 'classifier:gradient_boosting:loss': 'auto', 'classifier:gradient_boosting:max_bins': 255, 'classifier:gradient_boosting:max_depth': 'None', 'classifier:gradient_boosting:max_leaf_nodes': 328, 'classifier:gradient_boosting:min_samples_leaf': 2, 'classifier:gradient_boosting:scoring': 'loss', 'classifier:gradient_boosting:tol': 1e-07, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'median', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'standardize', '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': 0.989729761503726, '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': 5, 'feature_preprocessor:extra_trees_preproc_for_classification:min_weight_fraction_leaf': 0.0, 'feature_preprocessor:extra_trees_preproc_for_classification:n_estimators': 100, 'classifier:gradient_boosting:n_iter_no_change': 2, 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.0208475757765491}, dataset_properties={ 'task': 1, 'sparse': False, @@ -212,7 +212,7 @@ Print the final ensemble constructed by auto-sklearn 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.040000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'random_forest', 'data_preprocessor:__choice__': 'feature_type', '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_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'robust_scaler', '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, 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.015996368052062886, 'data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_max': 0.7845396961078424, 'data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_min': 0.25545052141264185}, + (0.020000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'random_forest', 'data_preprocessor:__choice__': 'feature_type', '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_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'standardize', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.01}, dataset_properties={ 'task': 1, 'sparse': False, @@ -220,7 +220,7 @@ Print the final ensemble constructed by auto-sklearn 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.040000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'extra_trees', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'polynomial', 'classifier:extra_trees:bootstrap': 'True', 'classifier:extra_trees:criterion': 'entropy', 'classifier:extra_trees:max_depth': 'None', 'classifier:extra_trees:max_features': 0.3793256905143867, 'classifier:extra_trees:max_leaf_nodes': 'None', 'classifier:extra_trees:min_impurity_decrease': 0.0, 'classifier:extra_trees:min_samples_leaf': 20, 'classifier:extra_trees:min_samples_split': 5, 'classifier:extra_trees:min_weight_fraction_leaf': 0.0, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'none', 'feature_preprocessor:polynomial:degree': 3, 'feature_preprocessor:polynomial:include_bias': 'False', 'feature_preprocessor:polynomial:interaction_only': 'True', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.00010083678209087315}, + (0.020000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'random_forest', 'data_preprocessor:__choice__': 'feature_type', '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_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'minmax', 'feature_preprocessor:select_percentile_classification:percentile': 56.97947373958566, 'feature_preprocessor:select_percentile_classification:score_func': 'mutual_info', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.42693600390988135}, dataset_properties={ 'task': 1, 'sparse': False, @@ -228,7 +228,7 @@ Print the final ensemble constructed by auto-sklearn 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.020000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'gradient_boosting', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'select_percentile_classification', 'classifier:gradient_boosting:early_stop': 'train', 'classifier:gradient_boosting:l2_regularization': 3.387912939529945e-10, 'classifier:gradient_boosting:learning_rate': 0.30755227194768237, 'classifier:gradient_boosting:loss': 'auto', 'classifier:gradient_boosting:max_bins': 255, 'classifier:gradient_boosting:max_depth': 'None', 'classifier:gradient_boosting:max_leaf_nodes': 60, 'classifier:gradient_boosting:min_samples_leaf': 39, 'classifier:gradient_boosting:scoring': 'loss', 'classifier:gradient_boosting:tol': 1e-07, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'none', 'feature_preprocessor:select_percentile_classification:percentile': 93.39844669585806, 'feature_preprocessor:select_percentile_classification:score_func': 'f_classif', 'classifier:gradient_boosting:n_iter_no_change': 18, 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.010000000000000004}, + (0.020000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'mlp', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'extra_trees_preproc_for_classification', 'classifier:mlp:activation': 'tanh', 'classifier:mlp:alpha': 2.5550223982458062e-06, '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': 0.00027271287919467994, 'classifier:mlp:n_iter_no_change': 32, 'classifier:mlp:num_nodes_per_layer': 54, 'classifier:mlp:shuffle': 'True', 'classifier:mlp:solver': 'adam', 'classifier:mlp:tol': 0.0001, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'standardize', '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': 0.7171678618990129, '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': 4, 'feature_preprocessor:extra_trees_preproc_for_classification:min_samples_split': 17, 'feature_preprocessor:extra_trees_preproc_for_classification:min_weight_fraction_leaf': 0.0, 'feature_preprocessor:extra_trees_preproc_for_classification:n_estimators': 100, 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.017116661677715188}, dataset_properties={ 'task': 1, 'sparse': False, @@ -236,7 +236,7 @@ Print the final ensemble constructed by auto-sklearn 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.020000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'mlp', 'data_preprocessor:__choice__': 'feature_type', '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, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'standardize', 'feature_preprocessor:fast_ica:algorithm': 'parallel', 'feature_preprocessor:fast_ica:fun': 'exp', 'feature_preprocessor:fast_ica:whiten': 'False', 'classifier:mlp:validation_fraction': 0.1}, + (0.020000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'extra_trees', 'data_preprocessor:__choice__': 'feature_type', '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': 0.993803313878608, 'classifier:extra_trees:max_leaf_nodes': 'None', 'classifier:extra_trees:min_impurity_decrease': 0.0, 'classifier:extra_trees:min_samples_leaf': 2, 'classifier:extra_trees:min_samples_split': 20, 'classifier:extra_trees:min_weight_fraction_leaf': 0.0, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'median', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'robust_scaler', 'feature_preprocessor:polynomial:degree': 2, 'feature_preprocessor:polynomial:include_bias': 'True', 'feature_preprocessor:polynomial:interaction_only': 'True', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.41826215858914706, 'data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_max': 0.7305615609807856, 'data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_min': 0.25595970768123566}, dataset_properties={ 'task': 1, 'sparse': False, @@ -252,7 +252,7 @@ Print the final ensemble constructed by auto-sklearn 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.020000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'liblinear_svc', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'select_percentile_classification', 'classifier:liblinear_svc:C': 140.23434217313954, 'classifier:liblinear_svc:dual': 'False', 'classifier:liblinear_svc:fit_intercept': 'True', 'classifier:liblinear_svc:intercept_scaling': 1, 'classifier:liblinear_svc:loss': 'squared_hinge', 'classifier:liblinear_svc:multi_class': 'ovr', 'classifier:liblinear_svc:penalty': 'l2', 'classifier:liblinear_svc:tol': 0.0002944604673080368, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'quantile_transformer', 'feature_preprocessor:select_percentile_classification:percentile': 29.807816607300627, 'feature_preprocessor:select_percentile_classification:score_func': 'chi2', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.034330895903523305, 'data_preprocessor:feature_type:numerical_transformer:rescaling:quantile_transformer:n_quantiles': 1450, 'data_preprocessor:feature_type:numerical_transformer:rescaling:quantile_transformer:output_distribution': 'uniform'}, + (0.020000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'random_forest', 'data_preprocessor:__choice__': 'feature_type', '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_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'robust_scaler', '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, 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.015996368052062886, 'data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_max': 0.7845396961078424, 'data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_min': 0.25545052141264185}, dataset_properties={ 'task': 1, 'sparse': False, @@ -260,7 +260,15 @@ Print the final ensemble constructed by auto-sklearn 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.020000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'random_forest', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'select_rates_classification', 'classifier:random_forest:bootstrap': 'True', 'classifier:random_forest:criterion': 'gini', 'classifier:random_forest:max_depth': 'None', 'classifier:random_forest:max_features': 0.5561389303694175, 'classifier:random_forest:max_leaf_nodes': 'None', 'classifier:random_forest:min_impurity_decrease': 0.0, 'classifier:random_forest:min_samples_leaf': 16, 'classifier:random_forest:min_samples_split': 4, 'classifier:random_forest:min_weight_fraction_leaf': 0.0, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'quantile_transformer', 'feature_preprocessor:select_rates_classification:alpha': 0.48507733455436836, 'feature_preprocessor:select_rates_classification:score_func': 'f_classif', 'data_preprocessor:feature_type:numerical_transformer:rescaling:quantile_transformer:n_quantiles': 1567, 'data_preprocessor:feature_type:numerical_transformer:rescaling:quantile_transformer:output_distribution': 'normal', 'feature_preprocessor:select_rates_classification:mode': 'fpr'}, + (0.020000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'random_forest', 'data_preprocessor:__choice__': 'feature_type', '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, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'standardize', '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': 'none', 'classifier:__choice__': 'gradient_boosting', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'liblinear_svc_preprocessor', 'classifier:gradient_boosting:early_stop': 'train', 'classifier:gradient_boosting:l2_regularization': 0.005326508887463406, 'classifier:gradient_boosting:learning_rate': 0.060800813211425456, 'classifier:gradient_boosting:loss': 'auto', 'classifier:gradient_boosting:max_bins': 255, 'classifier:gradient_boosting:max_depth': 'None', 'classifier:gradient_boosting:max_leaf_nodes': 6, 'classifier:gradient_boosting:min_samples_leaf': 5, 'classifier:gradient_boosting:scoring': 'loss', 'classifier:gradient_boosting:tol': 1e-07, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'median', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'minmax', 'feature_preprocessor:liblinear_svc_preprocessor:C': 13.550960330919455, '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': 1.2958033930435781e-05, 'classifier:gradient_boosting:n_iter_no_change': 5}, dataset_properties={ 'task': 1, 'sparse': False, @@ -268,7 +276,7 @@ Print the final ensemble constructed by auto-sklearn 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.020000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'passive_aggressive', 'data_preprocessor:__choice__': 'feature_type', '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_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'none', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.0070580904199417415}, + (0.020000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'extra_trees', 'data_preprocessor:__choice__': 'feature_type', '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_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'median', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'normalize', '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, 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.032719158639429445}, dataset_properties={ 'task': 1, 'sparse': False, @@ -276,7 +284,15 @@ Print the final ensemble constructed by auto-sklearn 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.020000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'extra_trees', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'pca', 'classifier:extra_trees:bootstrap': 'False', 'classifier:extra_trees:criterion': 'gini', 'classifier:extra_trees:max_depth': 'None', 'classifier:extra_trees:max_features': 0.5137138356508442, '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': 15, 'classifier:extra_trees:min_weight_fraction_leaf': 0.0, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'none', 'feature_preprocessor:pca:keep_variance': 0.9694955791292086, 'feature_preprocessor:pca:whiten': 'True', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.00014078218950356456}, + (0.020000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'extra_trees', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'polynomial', 'classifier:extra_trees:bootstrap': 'True', 'classifier:extra_trees:criterion': 'entropy', 'classifier:extra_trees:max_depth': 'None', 'classifier:extra_trees:max_features': 0.3793256905143867, 'classifier:extra_trees:max_leaf_nodes': 'None', 'classifier:extra_trees:min_impurity_decrease': 0.0, 'classifier:extra_trees:min_samples_leaf': 20, 'classifier:extra_trees:min_samples_split': 5, 'classifier:extra_trees:min_weight_fraction_leaf': 0.0, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'none', 'feature_preprocessor:polynomial:degree': 3, 'feature_preprocessor:polynomial:include_bias': 'False', 'feature_preprocessor:polynomial:interaction_only': 'True', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.00010083678209087315}, + 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_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'select_rates_classification', 'classifier:random_forest:bootstrap': 'True', 'classifier:random_forest:criterion': 'gini', 'classifier:random_forest:max_depth': 'None', 'classifier:random_forest:max_features': 0.5561389303694175, 'classifier:random_forest:max_leaf_nodes': 'None', 'classifier:random_forest:min_impurity_decrease': 0.0, 'classifier:random_forest:min_samples_leaf': 16, 'classifier:random_forest:min_samples_split': 4, 'classifier:random_forest:min_weight_fraction_leaf': 0.0, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'quantile_transformer', 'feature_preprocessor:select_rates_classification:alpha': 0.48507733455436836, 'feature_preprocessor:select_rates_classification:score_func': 'f_classif', 'data_preprocessor:feature_type:numerical_transformer:rescaling:quantile_transformer:n_quantiles': 1567, 'data_preprocessor:feature_type:numerical_transformer:rescaling:quantile_transformer:output_distribution': 'normal', 'feature_preprocessor:select_rates_classification:mode': 'fpr'}, dataset_properties={ 'task': 1, 'sparse': False, @@ -316,10 +332,10 @@ Get the Score of the final ensemble Dataset name: breast_cancer Metric: accuracy Best validation score: 0.985816 - Number of target algorithm runs: 39 - Number of successful target algorithm runs: 39 + Number of target algorithm runs: 35 + Number of successful target algorithm runs: 34 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: 1 Number of target algorithms that exceeded the memory limit: 0 Accuracy score 0.9440559440559441 @@ -330,7 +346,7 @@ Get the Score of the final ensemble .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 1 minutes 59.586 seconds) + **Total running time of the script:** ( 1 minutes 58.345 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 7988a0f793..3086f7ca8d 100644 --- a/development/_sources/examples/60_search/example_successive_halving.rst.txt +++ b/development/_sources/examples/60_search/example_successive_halving.rst.txt @@ -190,7 +190,7 @@ Build and fit a classifier /opt/hostedtoolcache/Python/3.8.11/x64/lib/python3.8/site-packages/smac/intensification/parallel_scheduling.py:152: UserWarning: SuccessiveHalving is intended to be used with more than 1 worker but num_workers=1 warnings.warn("{} is intended to be used " - [(0.100000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'random_forest', 'data_preprocessor:__choice__': 'feature_type', '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_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'median', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'standardize', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.011283688651384545}, + [(0.100000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'gradient_boosting', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'no_preprocessing', 'classifier:gradient_boosting:early_stop': 'off', 'classifier:gradient_boosting:l2_regularization': 1.0945814167023392e-10, 'classifier:gradient_boosting:learning_rate': 0.11042628136263043, 'classifier:gradient_boosting:loss': 'auto', 'classifier:gradient_boosting:max_bins': 255, 'classifier:gradient_boosting:max_depth': 'None', 'classifier:gradient_boosting:max_leaf_nodes': 30, 'classifier:gradient_boosting:min_samples_leaf': 22, 'classifier:gradient_boosting:scoring': 'loss', 'classifier:gradient_boosting:tol': 1e-07, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'standardize', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.05141281638752715}, dataset_properties={ 'task': 1, 'sparse': False, @@ -198,7 +198,7 @@ Build and fit a classifier 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.100000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'sgd', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'no_preprocessing', 'classifier:sgd:alpha': 9.410144741041167e-05, 'classifier:sgd:average': 'True', 'classifier:sgd:fit_intercept': 'True', 'classifier:sgd:learning_rate': 'constant', 'classifier:sgd:loss': 'log', 'classifier:sgd:penalty': 'l1', 'classifier:sgd:tol': 0.05082904256838701, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'normalize', 'classifier:sgd:eta0': 0.0018055343233337954}, + (0.100000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'sgd', 'data_preprocessor:__choice__': 'feature_type', '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, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'standardize'}, dataset_properties={ 'task': 1, 'sparse': False, @@ -206,7 +206,7 @@ Build and fit a classifier 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.080000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'gradient_boosting', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'no_preprocessing', 'classifier:gradient_boosting:early_stop': 'off', 'classifier:gradient_boosting:l2_regularization': 1e-10, 'classifier:gradient_boosting:learning_rate': 0.16262682406125173, 'classifier:gradient_boosting:loss': 'auto', 'classifier:gradient_boosting:max_bins': 255, 'classifier:gradient_boosting:max_depth': 'None', 'classifier:gradient_boosting:max_leaf_nodes': 66, 'classifier:gradient_boosting:min_samples_leaf': 20, 'classifier:gradient_boosting:scoring': 'loss', 'classifier:gradient_boosting:tol': 1e-07, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'robust_scaler', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.005428587241449129, 'data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_max': 0.75, 'data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_min': 0.23746960178084334}, + (0.080000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'random_forest', 'data_preprocessor:__choice__': 'feature_type', '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_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'median', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'standardize', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.011283688651384545}, dataset_properties={ 'task': 1, 'sparse': False, @@ -214,7 +214,7 @@ Build and fit a classifier 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.080000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'sgd', 'data_preprocessor:__choice__': 'feature_type', '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, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'standardize'}, + (0.080000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'extra_trees', 'data_preprocessor:__choice__': 'feature_type', '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_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'robust_scaler', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.08125391652261632, 'data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_max': 0.8601586365248128, 'data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_min': 0.052862156055921525}, dataset_properties={ 'task': 1, 'sparse': False, @@ -222,7 +222,7 @@ Build and fit a classifier 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.060000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'extra_trees', 'data_preprocessor:__choice__': 'feature_type', '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_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'robust_scaler', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.08125391652261632, 'data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_max': 0.8601586365248128, 'data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_min': 0.052862156055921525}, + (0.080000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'random_forest', 'data_preprocessor:__choice__': 'feature_type', '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': 0.7323115919225983, 'classifier:random_forest:max_leaf_nodes': 'None', 'classifier:random_forest:min_impurity_decrease': 0.0, 'classifier:random_forest:min_samples_leaf': 15, 'classifier:random_forest:min_samples_split': 6, 'classifier:random_forest:min_weight_fraction_leaf': 0.0, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'robust_scaler', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.011901034843417571, 'data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_max': 0.7818500358383581, 'data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_min': 0.20068746139723115}, dataset_properties={ 'task': 1, 'sparse': False, @@ -230,7 +230,7 @@ Build and fit a classifier 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.060000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'random_forest', 'data_preprocessor:__choice__': 'feature_type', '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_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'median', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'standardize', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.011283688651384545}, + (0.080000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'passive_aggressive', 'data_preprocessor:__choice__': 'feature_type', '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_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'none', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.0070580904199417415}, dataset_properties={ 'task': 1, 'sparse': False, @@ -238,7 +238,7 @@ Build and fit a classifier 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.060000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'random_forest', 'data_preprocessor:__choice__': 'feature_type', '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_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'median', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'standardize', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.011283688651384545}, + (0.080000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'sgd', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'no_preprocessing', 'classifier:sgd:alpha': 9.410144741041167e-05, 'classifier:sgd:average': 'True', 'classifier:sgd:fit_intercept': 'True', 'classifier:sgd:learning_rate': 'constant', 'classifier:sgd:loss': 'log', 'classifier:sgd:penalty': 'l1', 'classifier:sgd:tol': 0.05082904256838701, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'normalize', 'classifier:sgd:eta0': 0.0018055343233337954}, dataset_properties={ 'task': 1, 'sparse': False, @@ -246,7 +246,7 @@ Build and fit a classifier 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.060000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'gradient_boosting', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'no_preprocessing', 'classifier:gradient_boosting:early_stop': 'off', 'classifier:gradient_boosting:l2_regularization': 1.0945814167023392e-10, 'classifier:gradient_boosting:learning_rate': 0.11042628136263043, 'classifier:gradient_boosting:loss': 'auto', 'classifier:gradient_boosting:max_bins': 255, 'classifier:gradient_boosting:max_depth': 'None', 'classifier:gradient_boosting:max_leaf_nodes': 30, 'classifier:gradient_boosting:min_samples_leaf': 22, 'classifier:gradient_boosting:scoring': 'loss', 'classifier:gradient_boosting:tol': 1e-07, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'standardize', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.05141281638752715}, + (0.060000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'extra_trees', 'data_preprocessor:__choice__': 'feature_type', '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_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 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'classifier:gradient_boosting:l2_regularization': 0.0005657707133726288, 'classifier:gradient_boosting:learning_rate': 0.09546265146045475, 'classifier:gradient_boosting:loss': 'auto', 'classifier:gradient_boosting:max_bins': 255, 'classifier:gradient_boosting:max_depth': 'None', 'classifier:gradient_boosting:max_leaf_nodes': 109, 'classifier:gradient_boosting:min_samples_leaf': 2, 'classifier:gradient_boosting:scoring': 'loss', 'classifier:gradient_boosting:tol': 1e-07, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'quantile_transformer', 'data_preprocessor:feature_type:numerical_transformer:rescaling:quantile_transformer:n_quantiles': 1283, 'data_preprocessor:feature_type:numerical_transformer:rescaling:quantile_transformer:output_distribution': 'uniform'}, - dataset_properties={ - 'task': 1, - 'sparse': False, - 'multilabel': False, - 'multiclass': False, - 'target_type': 'classification', - 'signed': False})), - (0.060000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'passive_aggressive', 'data_preprocessor:__choice__': 'feature_type', '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_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'none', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.0070580904199417415}, dataset_properties={ 'task': 1, 'sparse': False, @@ -286,7 +278,7 @@ Build and fit a classifier 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.040000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'random_forest', 'data_preprocessor:__choice__': 'feature_type', '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': 0.7323115919225983, 'classifier:random_forest:max_leaf_nodes': 'None', 'classifier:random_forest:min_impurity_decrease': 0.0, 'classifier:random_forest:min_samples_leaf': 15, 'classifier:random_forest:min_samples_split': 6, 'classifier:random_forest:min_weight_fraction_leaf': 0.0, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'robust_scaler', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.011901034843417571, 'data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_max': 0.7818500358383581, 'data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_min': 0.20068746139723115}, + (0.040000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'gradient_boosting', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'no_preprocessing', 'classifier:gradient_boosting:early_stop': 'off', 'classifier:gradient_boosting:l2_regularization': 1e-10, 'classifier:gradient_boosting:learning_rate': 0.16262682406125173, 'classifier:gradient_boosting:loss': 'auto', 'classifier:gradient_boosting:max_bins': 255, 'classifier:gradient_boosting:max_depth': 'None', 'classifier:gradient_boosting:max_leaf_nodes': 66, 'classifier:gradient_boosting:min_samples_leaf': 20, 'classifier:gradient_boosting:scoring': 'loss', 'classifier:gradient_boosting:tol': 1e-07, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'robust_scaler', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.005428587241449129, 'data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_max': 0.75, 'data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_min': 0.23746960178084334}, dataset_properties={ 'task': 1, 'sparse': False, @@ -294,7 +286,7 @@ Build and fit a classifier 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.020000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'random_forest', 'data_preprocessor:__choice__': 'feature_type', '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_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'standardize', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.01}, + (0.040000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'gradient_boosting', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'no_preprocessing', 'classifier:gradient_boosting:early_stop': 'train', 'classifier:gradient_boosting:l2_regularization': 3.609412172481434e-10, 'classifier:gradient_boosting:learning_rate': 0.05972079854295879, 'classifier:gradient_boosting:loss': 'auto', 'classifier:gradient_boosting:max_bins': 255, 'classifier:gradient_boosting:max_depth': 'None', 'classifier:gradient_boosting:max_leaf_nodes': 4, 'classifier:gradient_boosting:min_samples_leaf': 2, 'classifier:gradient_boosting:scoring': 'loss', 'classifier:gradient_boosting:tol': 1e-07, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'minmax', 'classifier:gradient_boosting:n_iter_no_change': 14}, dataset_properties={ 'task': 1, 'sparse': False, @@ -302,7 +294,7 @@ Build and fit a classifier 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.020000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'random_forest', 'data_preprocessor:__choice__': 'feature_type', '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_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'median', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'standardize', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.011283688651384545}, + (0.040000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'gradient_boosting', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'no_preprocessing', 'classifier:gradient_boosting:early_stop': 'valid', 'classifier:gradient_boosting:l2_regularization': 5.027708640006448e-08, 'classifier:gradient_boosting:learning_rate': 0.09750328007832798, 'classifier:gradient_boosting:loss': 'auto', 'classifier:gradient_boosting:max_bins': 255, 'classifier:gradient_boosting:max_depth': 'None', 'classifier:gradient_boosting:max_leaf_nodes': 1234, 'classifier:gradient_boosting:min_samples_leaf': 25, 'classifier:gradient_boosting:scoring': 'loss', 'classifier:gradient_boosting:tol': 1e-07, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'minmax', 'classifier:gradient_boosting:n_iter_no_change': 1, 'classifier:gradient_boosting:validation_fraction': 0.08300813783286698}, dataset_properties={ 'task': 1, 'sparse': False, @@ -310,7 +302,7 @@ Build and fit a classifier 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.020000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'gradient_boosting', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'no_preprocessing', 'classifier:gradient_boosting:early_stop': 'off', 'classifier:gradient_boosting:l2_regularization': 1.0945814167023392e-10, 'classifier:gradient_boosting:learning_rate': 0.11042628136263043, 'classifier:gradient_boosting:loss': 'auto', 'classifier:gradient_boosting:max_bins': 255, 'classifier:gradient_boosting:max_depth': 'None', 'classifier:gradient_boosting:max_leaf_nodes': 30, 'classifier:gradient_boosting:min_samples_leaf': 22, 'classifier:gradient_boosting:scoring': 'loss', 'classifier:gradient_boosting:tol': 1e-07, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'standardize', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.05141281638752715}, + (0.020000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'extra_trees', 'data_preprocessor:__choice__': 'feature_type', '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_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'robust_scaler', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.08125391652261632, 'data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_max': 0.8601586365248128, 'data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_min': 0.052862156055921525}, dataset_properties={ 'task': 1, 'sparse': False, @@ -318,15 +310,7 @@ Build and fit a classifier 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.020000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'gradient_boosting', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'no_preprocessing', 'classifier:gradient_boosting:early_stop': 'train', 'classifier:gradient_boosting:l2_regularization': 3.609412172481434e-10, 'classifier:gradient_boosting:learning_rate': 0.05972079854295879, 'classifier:gradient_boosting:loss': 'auto', 'classifier:gradient_boosting:max_bins': 255, 'classifier:gradient_boosting:max_depth': 'None', 'classifier:gradient_boosting:max_leaf_nodes': 4, 'classifier:gradient_boosting:min_samples_leaf': 2, 'classifier:gradient_boosting:scoring': 'loss', 'classifier:gradient_boosting:tol': 1e-07, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'minmax', 'classifier:gradient_boosting:n_iter_no_change': 14}, - dataset_properties={ - 'task': 1, - 'sparse': False, - 'multilabel': False, - 'multiclass': False, - 'target_type': 'classification', - 'signed': False})), - (0.020000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'gradient_boosting', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'no_preprocessing', 'classifier:gradient_boosting:early_stop': 'valid', 'classifier:gradient_boosting:l2_regularization': 5.027708640006448e-08, 'classifier:gradient_boosting:learning_rate': 0.09750328007832798, 'classifier:gradient_boosting:loss': 'auto', 'classifier:gradient_boosting:max_bins': 255, 'classifier:gradient_boosting:max_depth': 'None', 'classifier:gradient_boosting:max_leaf_nodes': 1234, 'classifier:gradient_boosting:min_samples_leaf': 25, 'classifier:gradient_boosting:scoring': 'loss', 'classifier:gradient_boosting:tol': 1e-07, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'minmax', 'classifier:gradient_boosting:n_iter_no_change': 1, 'classifier:gradient_boosting:validation_fraction': 0.08300813783286698}, + (0.020000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'random_forest', 'data_preprocessor:__choice__': 'feature_type', '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_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'standardize', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.01}, dataset_properties={ 'task': 1, 'sparse': False, @@ -334,7 +318,7 @@ Build and fit a classifier 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.020000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'gradient_boosting', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'no_preprocessing', 'classifier:gradient_boosting:early_stop': 'train', 'classifier:gradient_boosting:l2_regularization': 2.506856350040198e-06, 'classifier:gradient_boosting:learning_rate': 0.04634380160611007, 'classifier:gradient_boosting:loss': 'auto', 'classifier:gradient_boosting:max_bins': 255, 'classifier:gradient_boosting:max_depth': 'None', 'classifier:gradient_boosting:max_leaf_nodes': 11, 'classifier:gradient_boosting:min_samples_leaf': 41, 'classifier:gradient_boosting:scoring': 'loss', 'classifier:gradient_boosting:tol': 1e-07, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'robust_scaler', 'classifier:gradient_boosting:n_iter_no_change': 17, 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.05410260260701887, 'data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_max': 0.7310641872341862, 'data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_min': 0.2836388190241387}, + (0.020000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'extra_trees', 'data_preprocessor:__choice__': 'feature_type', '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_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'robust_scaler', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.08125391652261632, 'data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_max': 0.8601586365248128, 'data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_min': 0.052862156055921525}, dataset_properties={ 'task': 1, 'sparse': False, @@ -343,14 +327,6 @@ Build and fit a classifier 'target_type': 'classification', 'signed': False})), (0.020000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'extra_trees', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'no_preprocessing', 'classifier:extra_trees:bootstrap': 'True', 'classifier:extra_trees:criterion': 'gini', 'classifier:extra_trees:max_depth': 'None', 'classifier:extra_trees:max_features': 0.37705188916038523, 'classifier:extra_trees:max_leaf_nodes': 'None', 'classifier:extra_trees:min_impurity_decrease': 0.0, 'classifier:extra_trees:min_samples_leaf': 2, 'classifier:extra_trees:min_samples_split': 3, 'classifier:extra_trees:min_weight_fraction_leaf': 0.0, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'quantile_transformer', 'data_preprocessor:feature_type:numerical_transformer:rescaling:quantile_transformer:n_quantiles': 521, 'data_preprocessor:feature_type:numerical_transformer:rescaling:quantile_transformer:output_distribution': 'uniform'}, - 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_preprocessor:__choice__': 'feature_type', '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': 0.09884140378258977, 'classifier:random_forest:max_leaf_nodes': 'None', 'classifier:random_forest:min_impurity_decrease': 0.0, 'classifier:random_forest:min_samples_leaf': 6, 'classifier:random_forest:min_samples_split': 13, 'classifier:random_forest:min_weight_fraction_leaf': 0.0, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'standardize', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.022834561782884507}, dataset_properties={ 'task': 1, 'sparse': False, @@ -363,10 +339,10 @@ Build and fit a classifier Dataset name: breast_cancer Metric: accuracy Best validation score: 0.985816 - Number of target algorithm runs: 22 + Number of target algorithm runs: 21 Number of successful target algorithm runs: 21 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 @@ -426,7 +402,7 @@ We can also use cross-validation with successive halving /opt/hostedtoolcache/Python/3.8.11/x64/lib/python3.8/site-packages/smac/intensification/parallel_scheduling.py:152: 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__': 'passive_aggressive', 'data_preprocessor:__choice__': 'feature_type', '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_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'none', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.0070580904199417415}, + [(0.300000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'passive_aggressive', 'data_preprocessor:__choice__': 'feature_type', '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_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'none', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.0070580904199417415}, dataset_properties={ 'task': 1, 'sparse': False, @@ -434,7 +410,7 @@ We can also use cross-validation with successive halving 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.200000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'extra_trees', 'data_preprocessor:__choice__': 'feature_type', '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_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'robust_scaler', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.08125391652261632, 'data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_max': 0.8601586365248128, 'data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_min': 0.052862156055921525}, + (0.200000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'random_forest', 'data_preprocessor:__choice__': 'feature_type', '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_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'median', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'standardize', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.011283688651384545}, dataset_properties={ 'task': 1, 'sparse': False, @@ -442,7 +418,7 @@ We can also use cross-validation with successive halving 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.160000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'random_forest', 'data_preprocessor:__choice__': 'feature_type', '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_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'standardize', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.01}, + (0.160000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'extra_trees', 'data_preprocessor:__choice__': 'feature_type', '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_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'robust_scaler', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.08125391652261632, 'data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_max': 0.8601586365248128, 'data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_min': 0.052862156055921525}, dataset_properties={ 'task': 1, 'sparse': False, @@ -450,7 +426,7 @@ We can also use cross-validation with successive halving 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.140000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'extra_trees', 'data_preprocessor:__choice__': 'feature_type', '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_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'robust_scaler', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.08125391652261632, 'data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_max': 0.8601586365248128, 'data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_min': 0.052862156055921525}, + (0.140000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'sgd', 'data_preprocessor:__choice__': 'feature_type', '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, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'standardize'}, dataset_properties={ 'task': 1, 'sparse': False, @@ -458,7 +434,7 @@ We can also use cross-validation with successive halving 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.120000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'sgd', 'data_preprocessor:__choice__': 'feature_type', '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, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'standardize'}, + (0.060000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'gradient_boosting', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'no_preprocessing', 'classifier:gradient_boosting:early_stop': 'train', 'classifier:gradient_boosting:l2_regularization': 3.609412172481434e-10, 'classifier:gradient_boosting:learning_rate': 0.05972079854295879, 'classifier:gradient_boosting:loss': 'auto', 'classifier:gradient_boosting:max_bins': 255, 'classifier:gradient_boosting:max_depth': 'None', 'classifier:gradient_boosting:max_leaf_nodes': 4, 'classifier:gradient_boosting:min_samples_leaf': 2, 'classifier:gradient_boosting:scoring': 'loss', 'classifier:gradient_boosting:tol': 1e-07, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'minmax', 'classifier:gradient_boosting:n_iter_no_change': 14}, dataset_properties={ 'task': 1, 'sparse': False, @@ -474,15 +450,7 @@ We can also use cross-validation with successive halving 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.040000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'random_forest', 'data_preprocessor:__choice__': 'feature_type', '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_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'median', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'standardize', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.011283688651384545}, - dataset_properties={ - 'task': 1, - 'sparse': False, - 'multilabel': False, - 'multiclass': False, - 'target_type': 'classification', - 'signed': False})), - (0.020000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'gradient_boosting', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'no_preprocessing', 'classifier:gradient_boosting:early_stop': 'off', 'classifier:gradient_boosting:l2_regularization': 1e-10, 'classifier:gradient_boosting:learning_rate': 0.16262682406125173, 'classifier:gradient_boosting:loss': 'auto', 'classifier:gradient_boosting:max_bins': 255, 'classifier:gradient_boosting:max_depth': 'None', 'classifier:gradient_boosting:max_leaf_nodes': 66, 'classifier:gradient_boosting:min_samples_leaf': 20, 'classifier:gradient_boosting:scoring': 'loss', 'classifier:gradient_boosting:tol': 1e-07, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'robust_scaler', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.005428587241449129, 'data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_max': 0.75, 'data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_min': 0.23746960178084334}, + (0.040000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'gradient_boosting', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'no_preprocessing', 'classifier:gradient_boosting:early_stop': 'off', 'classifier:gradient_boosting:l2_regularization': 1e-10, 'classifier:gradient_boosting:learning_rate': 0.16262682406125173, 'classifier:gradient_boosting:loss': 'auto', 'classifier:gradient_boosting:max_bins': 255, 'classifier:gradient_boosting:max_depth': 'None', 'classifier:gradient_boosting:max_leaf_nodes': 66, 'classifier:gradient_boosting:min_samples_leaf': 20, 'classifier:gradient_boosting:scoring': 'loss', 'classifier:gradient_boosting:tol': 1e-07, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'robust_scaler', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.005428587241449129, 'data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_max': 0.75, 'data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_min': 0.23746960178084334}, dataset_properties={ 'task': 1, 'sparse': False, @@ -490,7 +458,7 @@ We can also use cross-validation with successive halving 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.020000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'gradient_boosting', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'no_preprocessing', 'classifier:gradient_boosting:early_stop': 'train', 'classifier:gradient_boosting:l2_regularization': 3.609412172481434e-10, 'classifier:gradient_boosting:learning_rate': 0.05972079854295879, 'classifier:gradient_boosting:loss': 'auto', 'classifier:gradient_boosting:max_bins': 255, 'classifier:gradient_boosting:max_depth': 'None', 'classifier:gradient_boosting:max_leaf_nodes': 4, 'classifier:gradient_boosting:min_samples_leaf': 2, 'classifier:gradient_boosting:scoring': 'loss', 'classifier:gradient_boosting:tol': 1e-07, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'minmax', 'classifier:gradient_boosting:n_iter_no_change': 14}, + (0.040000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'random_forest', 'data_preprocessor:__choice__': 'feature_type', '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_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'standardize', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.01}, dataset_properties={ 'task': 1, 'sparse': False, @@ -503,13 +471,13 @@ We can also use cross-validation with successive halving Dataset name: breast_cancer Metric: accuracy Best validation score: 0.971831 - Number of target algorithm runs: 10 - Number of successful target algorithm runs: 9 + Number of target algorithm runs: 9 + Number of successful target algorithm runs: 8 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 0.958041958041958 + Accuracy score 0.965034965034965 @@ -686,7 +654,7 @@ Next, we see the use of subsampling as a budget in Auto-sklearn 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.300000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'mlp', 'data_preprocessor:__choice__': 'feature_type', '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, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'median', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'standardize', '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}, + (0.260000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'mlp', 'data_preprocessor:__choice__': 'feature_type', '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, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'median', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'standardize', '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, @@ -694,7 +662,7 @@ Next, we see the use of subsampling as a budget in Auto-sklearn 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.120000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'random_forest', 'data_preprocessor:__choice__': 'feature_type', '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_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'minmax', 'feature_preprocessor:select_percentile_classification:percentile': 56.97947373958566, 'feature_preprocessor:select_percentile_classification:score_func': 'mutual_info', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.42693600390988135}, + (0.140000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'random_forest', 'data_preprocessor:__choice__': 'feature_type', '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, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'standardize', '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, @@ -702,7 +670,7 @@ 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_preprocessor:__choice__': 'feature_type', '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_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'standardize', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.01}, + (0.080000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'random_forest', 'data_preprocessor:__choice__': 'feature_type', '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, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'standardize', '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, @@ -710,7 +678,7 @@ 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': 'none', 'classifier:__choice__': 'random_forest', 'data_preprocessor:__choice__': 'feature_type', '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_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'standardize', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.01}, + (0.060000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'random_forest', 'data_preprocessor:__choice__': 'feature_type', '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_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'robust_scaler', '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, 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.015996368052062886, 'data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_max': 0.7845396961078424, 'data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_min': 0.25545052141264185}, dataset_properties={ 'task': 1, 'sparse': False, @@ -726,7 +694,7 @@ 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': 'none', 'classifier:__choice__': 'extra_trees', 'data_preprocessor:__choice__': 'feature_type', '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, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'median', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'none', 'feature_preprocessor:polynomial:degree': 2, 'feature_preprocessor:polynomial:include_bias': 'False', 'feature_preprocessor:polynomial:interaction_only': 'False'}, + (0.040000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'random_forest', 'data_preprocessor:__choice__': 'feature_type', '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, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'standardize', '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, @@ -734,7 +702,7 @@ 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_preprocessor:__choice__': 'feature_type', '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, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'standardize', '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}, + (0.020000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'mlp', 'data_preprocessor:__choice__': 'feature_type', '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, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'standardize', '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'}, dataset_properties={ 'task': 1, 'sparse': False, @@ -742,7 +710,7 @@ Next, we see the use of subsampling as a budget in Auto-sklearn 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.020000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'random_forest', 'data_preprocessor:__choice__': 'feature_type', '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_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'standardize', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.01}, + (0.020000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'extra_trees', 'data_preprocessor:__choice__': 'feature_type', '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, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'median', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'none', 'feature_preprocessor:polynomial:degree': 2, 'feature_preprocessor:polynomial:include_bias': 'False', 'feature_preprocessor:polynomial:interaction_only': 'False'}, dataset_properties={ 'task': 1, 'sparse': False, @@ -750,7 +718,7 @@ Next, we see the use of subsampling as a budget in Auto-sklearn 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.020000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'random_forest', 'data_preprocessor:__choice__': 'feature_type', '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_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'standardize', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.16265262021972576}, + (0.020000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'extra_trees', 'data_preprocessor:__choice__': 'feature_type', '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_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'median', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'normalize', '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, 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.032719158639429445}, dataset_properties={ 'task': 1, 'sparse': False, @@ -763,10 +731,10 @@ Next, we see the use of subsampling as a budget in Auto-sklearn Dataset name: breast_cancer 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: 12 + Number of successful target algorithm runs: 11 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: 1 Number of target algorithms that exceeded the memory limit: 0 Accuracy score 0.951048951048951 @@ -828,7 +796,7 @@ subsamples otherwise /opt/hostedtoolcache/Python/3.8.11/x64/lib/python3.8/site-packages/smac/intensification/parallel_scheduling.py:152: UserWarning: SuccessiveHalving is intended to be used with more than 1 worker but num_workers=1 warnings.warn("{} is intended to be used " - [(0.300000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'gradient_boosting', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'select_percentile_classification', 'classifier:gradient_boosting:early_stop': 'train', 'classifier:gradient_boosting:l2_regularization': 3.387912939529945e-10, 'classifier:gradient_boosting:learning_rate': 0.30755227194768237, 'classifier:gradient_boosting:loss': 'auto', 'classifier:gradient_boosting:max_bins': 255, 'classifier:gradient_boosting:max_depth': 'None', 'classifier:gradient_boosting:max_leaf_nodes': 60, 'classifier:gradient_boosting:min_samples_leaf': 39, 'classifier:gradient_boosting:scoring': 'loss', 'classifier:gradient_boosting:tol': 1e-07, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'none', 'feature_preprocessor:select_percentile_classification:percentile': 93.39844669585806, 'feature_preprocessor:select_percentile_classification:score_func': 'f_classif', 'classifier:gradient_boosting:n_iter_no_change': 18, 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.010000000000000004}, + [(0.280000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'gradient_boosting', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'select_percentile_classification', 'classifier:gradient_boosting:early_stop': 'train', 'classifier:gradient_boosting:l2_regularization': 3.387912939529945e-10, 'classifier:gradient_boosting:learning_rate': 0.30755227194768237, 'classifier:gradient_boosting:loss': 'auto', 'classifier:gradient_boosting:max_bins': 255, 'classifier:gradient_boosting:max_depth': 'None', 'classifier:gradient_boosting:max_leaf_nodes': 60, 'classifier:gradient_boosting:min_samples_leaf': 39, 'classifier:gradient_boosting:scoring': 'loss', 'classifier:gradient_boosting:tol': 1e-07, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'none', 'feature_preprocessor:select_percentile_classification:percentile': 93.39844669585806, 'feature_preprocessor:select_percentile_classification:score_func': 'f_classif', 'classifier:gradient_boosting:n_iter_no_change': 18, 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.010000000000000004}, dataset_properties={ 'task': 1, 'sparse': False, @@ -836,7 +804,7 @@ subsamples otherwise 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.120000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'extra_trees', 'data_preprocessor:__choice__': 'feature_type', '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, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'median', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'none', '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_preprocessor:__choice__': 'feature_type', '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, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'median', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'none', 'feature_preprocessor:polynomial:degree': 2, 'feature_preprocessor:polynomial:include_bias': 'False', 'feature_preprocessor:polynomial:interaction_only': 'False'}, dataset_properties={ 'task': 1, 'sparse': False, @@ -852,7 +820,7 @@ subsamples otherwise 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.120000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'extra_trees', 'data_preprocessor:__choice__': 'feature_type', '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_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'median', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'normalize', '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, 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.032719158639429445}, + (0.100000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'extra_trees', 'data_preprocessor:__choice__': 'feature_type', '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, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'median', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'none', 'feature_preprocessor:polynomial:degree': 2, 'feature_preprocessor:polynomial:include_bias': 'False', 'feature_preprocessor:polynomial:interaction_only': 'False'}, dataset_properties={ 'task': 1, 'sparse': False, @@ -876,7 +844,7 @@ subsamples otherwise 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.060000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'extra_trees', 'data_preprocessor:__choice__': 'feature_type', '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, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'median', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'none', 'feature_preprocessor:polynomial:degree': 2, 'feature_preprocessor:polynomial:include_bias': 'False', 'feature_preprocessor:polynomial:interaction_only': 'False'}, + (0.060000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'extra_trees', 'data_preprocessor:__choice__': 'feature_type', '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_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'median', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'normalize', '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, 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.032719158639429445}, dataset_properties={ 'task': 1, 'sparse': False, @@ -884,7 +852,7 @@ subsamples otherwise 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.060000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'extra_trees', 'data_preprocessor:__choice__': 'feature_type', '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': 0.993803313878608, 'classifier:extra_trees:max_leaf_nodes': 'None', 'classifier:extra_trees:min_impurity_decrease': 0.0, 'classifier:extra_trees:min_samples_leaf': 2, 'classifier:extra_trees:min_samples_split': 20, 'classifier:extra_trees:min_weight_fraction_leaf': 0.0, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'median', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'robust_scaler', 'feature_preprocessor:polynomial:degree': 2, 'feature_preprocessor:polynomial:include_bias': 'True', 'feature_preprocessor:polynomial:interaction_only': 'True', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.41826215858914706, 'data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_max': 0.7305615609807856, 'data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_min': 0.25595970768123566}, + (0.040000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'gradient_boosting', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'liblinear_svc_preprocessor', 'classifier:gradient_boosting:early_stop': 'train', 'classifier:gradient_boosting:l2_regularization': 0.005326508887463406, 'classifier:gradient_boosting:learning_rate': 0.060800813211425456, 'classifier:gradient_boosting:loss': 'auto', 'classifier:gradient_boosting:max_bins': 255, 'classifier:gradient_boosting:max_depth': 'None', 'classifier:gradient_boosting:max_leaf_nodes': 6, 'classifier:gradient_boosting:min_samples_leaf': 5, 'classifier:gradient_boosting:scoring': 'loss', 'classifier:gradient_boosting:tol': 1e-07, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'median', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'minmax', 'feature_preprocessor:liblinear_svc_preprocessor:C': 13.550960330919455, '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': 1.2958033930435781e-05, 'classifier:gradient_boosting:n_iter_no_change': 5}, dataset_properties={ 'task': 1, 'sparse': False, @@ -892,7 +860,31 @@ subsamples otherwise 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.040000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'gradient_boosting', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'liblinear_svc_preprocessor', 'classifier:gradient_boosting:early_stop': 'train', 'classifier:gradient_boosting:l2_regularization': 0.005326508887463406, 'classifier:gradient_boosting:learning_rate': 0.060800813211425456, 'classifier:gradient_boosting:loss': 'auto', 'classifier:gradient_boosting:max_bins': 255, 'classifier:gradient_boosting:max_depth': 'None', 'classifier:gradient_boosting:max_leaf_nodes': 6, 'classifier:gradient_boosting:min_samples_leaf': 5, 'classifier:gradient_boosting:scoring': 'loss', 'classifier:gradient_boosting:tol': 1e-07, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'median', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'minmax', 'feature_preprocessor:liblinear_svc_preprocessor:C': 13.550960330919455, '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': 1.2958033930435781e-05, 'classifier:gradient_boosting:n_iter_no_change': 5}, + (0.020000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'extra_trees', 'data_preprocessor:__choice__': 'feature_type', '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': 0.562561668029056, 'classifier:extra_trees:max_leaf_nodes': 'None', 'classifier:extra_trees:min_impurity_decrease': 0.0, 'classifier:extra_trees:min_samples_leaf': 2, 'classifier:extra_trees:min_samples_split': 15, 'classifier:extra_trees:min_weight_fraction_leaf': 0.0, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'median', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'none', 'feature_preprocessor:select_rates_classification:alpha': 0.32106218519214325, 'feature_preprocessor:select_rates_classification:score_func': 'chi2', 'feature_preprocessor:select_rates_classification:mode': 'fwe'}, + dataset_properties={ + 'task': 1, + 'sparse': False, + 'multilabel': False, + 'multiclass': False, + 'target_type': 'classification', + 'signed': False})), + (0.020000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'extra_trees', 'data_preprocessor:__choice__': 'feature_type', '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': 0.993803313878608, 'classifier:extra_trees:max_leaf_nodes': 'None', 'classifier:extra_trees:min_impurity_decrease': 0.0, 'classifier:extra_trees:min_samples_leaf': 2, 'classifier:extra_trees:min_samples_split': 20, 'classifier:extra_trees:min_weight_fraction_leaf': 0.0, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'median', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'robust_scaler', 'feature_preprocessor:polynomial:degree': 2, 'feature_preprocessor:polynomial:include_bias': 'True', 'feature_preprocessor:polynomial:interaction_only': 'True', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.41826215858914706, 'data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_max': 0.7305615609807856, 'data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_min': 0.25595970768123566}, + dataset_properties={ + 'task': 1, + 'sparse': False, + 'multilabel': False, + 'multiclass': False, + 'target_type': 'classification', + 'signed': False})), + (0.020000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'gradient_boosting', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'extra_trees_preproc_for_classification', 'classifier:gradient_boosting:early_stop': 'valid', 'classifier:gradient_boosting:l2_regularization': 8.057778875694463e-05, 'classifier:gradient_boosting:learning_rate': 0.09179220974965213, 'classifier:gradient_boosting:loss': 'auto', 'classifier:gradient_boosting:max_bins': 255, 'classifier:gradient_boosting:max_depth': 'None', 'classifier:gradient_boosting:max_leaf_nodes': 200, 'classifier:gradient_boosting:min_samples_leaf': 20, 'classifier:gradient_boosting:scoring': 'loss', 'classifier:gradient_boosting:tol': 1e-07, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'quantile_transformer', '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': 0.9984367650965825, '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': 18, 'feature_preprocessor:extra_trees_preproc_for_classification:min_weight_fraction_leaf': 0.0, 'feature_preprocessor:extra_trees_preproc_for_classification:n_estimators': 100, 'classifier:gradient_boosting:n_iter_no_change': 18, 'classifier:gradient_boosting:validation_fraction': 0.14295295806077554, 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.008542188583124829, 'data_preprocessor:feature_type:numerical_transformer:rescaling:quantile_transformer:n_quantiles': 1102, 'data_preprocessor:feature_type:numerical_transformer:rescaling:quantile_transformer:output_distribution': 'uniform'}, + 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_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'random_trees_embedding', 'classifier:random_forest:bootstrap': 'True', 'classifier:random_forest:criterion': 'entropy', '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_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'median', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'quantile_transformer', 'feature_preprocessor:random_trees_embedding:bootstrap': 'True', 'feature_preprocessor:random_trees_embedding:max_depth': 5, 'feature_preprocessor:random_trees_embedding:max_leaf_nodes': 'None', 'feature_preprocessor:random_trees_embedding:min_samples_leaf': 1, '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': 10, 'data_preprocessor:feature_type:numerical_transformer:rescaling:quantile_transformer:n_quantiles': 937, 'data_preprocessor:feature_type:numerical_transformer:rescaling:quantile_transformer:output_distribution': 'uniform'}, dataset_properties={ 'task': 1, 'sparse': False, @@ -905,13 +897,13 @@ subsamples otherwise Dataset name: breast_cancer Metric: accuracy Best validation score: 0.985816 - Number of target algorithm runs: 17 - Number of successful target algorithm runs: 16 + Number of target algorithm runs: 19 + Number of successful target algorithm runs: 19 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 0.9440559440559441 @@ -919,7 +911,7 @@ subsamples otherwise .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 3 minutes 11.022 seconds) + **Total running time of the script:** ( 3 minutes 10.764 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 d029e1991b..d66fec5bdc 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 ================= -**10:29.908** total execution time for **examples_60_search** files: +**10:42.553** total execution time for **examples_60_search** files: +--------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_examples_60_search_example_successive_halving.py` (``example_successive_halving.py``) | 03:11.022 | 0.0 MB | +| :ref:`sphx_glr_examples_60_search_example_successive_halving.py` (``example_successive_halving.py``) | 03:10.764 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_examples_60_search_example_parallel_n_jobs.py` (``example_parallel_n_jobs.py``) | 02:08.558 | 0.0 MB | +| :ref:`sphx_glr_examples_60_search_example_parallel_n_jobs.py` (``example_parallel_n_jobs.py``) | 02:23.603 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_examples_60_search_example_sequential.py` (``example_sequential.py``) | 01:59.586 | 0.0 MB | +| :ref:`sphx_glr_examples_60_search_example_sequential.py` (``example_sequential.py``) | 01:58.345 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_examples_60_search_example_random_search.py` (``example_random_search.py``) | 01:54.708 | 0.0 MB | +| :ref:`sphx_glr_examples_60_search_example_random_search.py` (``example_random_search.py``) | 01:55.955 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_examples_60_search_example_parallel_manual_spawning_cli.py` (``example_parallel_manual_spawning_cli.py``) | 00:40.073 | 0.0 MB | +| :ref:`sphx_glr_examples_60_search_example_parallel_manual_spawning_cli.py` (``example_parallel_manual_spawning_cli.py``) | 00:37.914 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_examples_60_search_example_parallel_manual_spawning_python.py` (``example_parallel_manual_spawning_python.py``) | 00:35.962 | 0.0 MB | +| :ref:`sphx_glr_examples_60_search_example_parallel_manual_spawning_python.py` (``example_parallel_manual_spawning_python.py``) | 00:35.972 | 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 c9404f7a7e..9d113a6e96 100644 --- a/development/_sources/examples/80_extending/example_extending_classification.rst.txt +++ b/development/_sources/examples/80_extending/example_extending_classification.rst.txt @@ -262,8 +262,8 @@ Print test accuracy and statistics .. code-block:: none - accuracy: 0.965034965034965 - [(0.820000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'MLPClassifier', 'data_preprocessor:__choice__': 'feature_type', '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_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'standardize', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.01}, + accuracy: 0.958041958041958 + [(0.540000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'MLPClassifier', 'data_preprocessor:__choice__': 'feature_type', '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_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'standardize', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.01}, dataset_properties={ 'task': 1, 'sparse': False, @@ -271,7 +271,7 @@ Print test accuracy and statistics 'multiclass': False, 'target_type': 'classification', 'signed': False})), - (0.180000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'MLPClassifier', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'select_rates_classification', 'classifier:MLPClassifier:activation': 'relu', 'classifier:MLPClassifier:alpha': 0.054648061621061846, 'classifier:MLPClassifier:hidden_layer_depth': 1, 'classifier:MLPClassifier:num_nodes_per_layer': 187, 'classifier:MLPClassifier:solver': 'adam', 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'robust_scaler', 'feature_preprocessor:select_rates_classification:alpha': 0.17677801820619737, 'feature_preprocessor:select_rates_classification:score_func': 'mutual_info_classif', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.06846183238648647, 'data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_max': 0.8465036896999549, 'data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_min': 0.14555017892884228}, + (0.460000, SimpleClassificationPipeline({'balancing:strategy': 'weighting', 'classifier:__choice__': 'MLPClassifier', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'select_rates_classification', 'classifier:MLPClassifier:activation': 'relu', 'classifier:MLPClassifier:alpha': 0.054648061621061846, 'classifier:MLPClassifier:hidden_layer_depth': 1, 'classifier:MLPClassifier:num_nodes_per_layer': 187, 'classifier:MLPClassifier:solver': 'adam', 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'robust_scaler', 'feature_preprocessor:select_rates_classification:alpha': 0.17677801820619737, 'feature_preprocessor:select_rates_classification:score_func': 'mutual_info_classif', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.06846183238648647, 'data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_max': 0.8465036896999549, 'data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_min': 0.14555017892884228}, dataset_properties={ 'task': 1, 'sparse': False, @@ -287,7 +287,7 @@ Print test accuracy and statistics .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 19.314 seconds) + **Total running time of the script:** ( 0 minutes 21.890 seconds) .. _sphx_glr_download_examples_80_extending_example_extending_classification.py: diff --git a/development/_sources/examples/80_extending/example_extending_data_preprocessor.rst.txt b/development/_sources/examples/80_extending/example_extending_data_preprocessor.rst.txt index 2d45b891ca..6bf2a58376 100644 --- a/development/_sources/examples/80_extending/example_extending_data_preprocessor.rst.txt +++ b/development/_sources/examples/80_extending/example_extending_data_preprocessor.rst.txt @@ -186,7 +186,7 @@ Print prediction score and statistics .. code-block:: none - accuracy: 0.4195804195804196 + accuracy: 0.32167832167832167 [(1.000000, MyDummyClassifier(config=1, init_params={'data_preprocessor:feat_type': {0: 'numerical', 1: 'numerical', @@ -228,7 +228,7 @@ Print prediction score and statistics .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 22.960 seconds) + **Total running time of the script:** ( 0 minutes 16.212 seconds) .. _sphx_glr_download_examples_80_extending_example_extending_data_preprocessor.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 85e6a30886..5d29916c5a 100644 --- a/development/_sources/examples/80_extending/example_extending_preprocessor.rst.txt +++ b/development/_sources/examples/80_extending/example_extending_preprocessor.rst.txt @@ -256,7 +256,7 @@ Print prediction score and statistics .. code-block:: none - accuracy: 0.9230769230769231 + accuracy: 0.9440559440559441 [(1.000000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'random_forest', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'LDA', '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_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'standardize', 'feature_preprocessor:LDA:solver': 'svd', 'feature_preprocessor:LDA:tol': 0.0001, 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.01}, dataset_properties={ 'task': 1, @@ -273,7 +273,7 @@ Print prediction score and statistics .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 19.502 seconds) + **Total running time of the script:** ( 0 minutes 20.218 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 67cd1ef5bd..8ddd45d521 100644 --- a/development/_sources/examples/80_extending/example_extending_regression.rst.txt +++ b/development/_sources/examples/80_extending/example_extending_regression.rst.txt @@ -253,7 +253,7 @@ Print prediction score and statistics .. code-block:: none - r2 score: -0.2590000668320658 + r2 score: -0.1181707880517584 [(1.000000, SimpleRegressionPipeline({'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'no_preprocessing', 'regressor:__choice__': 'KernelRidgeRegression', 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'standardize', 'regressor:KernelRidgeRegression:alpha': 1.0, 'regressor:KernelRidgeRegression:gamma': 0.1, 'regressor:KernelRidgeRegression:kernel': 'polynomial', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.01, 'regressor:KernelRidgeRegression:coef0': 1.0, 'regressor:KernelRidgeRegression:degree': 3}, dataset_properties={ 'task': 4, @@ -269,7 +269,7 @@ Print prediction score and statistics .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 18.018 seconds) + **Total running time of the script:** ( 0 minutes 16.649 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 1139382d5c..abe3abac9c 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 @@ -628,7 +628,7 @@ Print the configuration space .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 7.356 seconds) + **Total running time of the script:** ( 0 minutes 8.164 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 2fc45840d3..7499fae20c 100644 --- a/development/_sources/examples/80_extending/sg_execution_times.rst.txt +++ b/development/_sources/examples/80_extending/sg_execution_times.rst.txt @@ -5,16 +5,16 @@ Computation times ================= -**01:27.149** total execution time for **examples_80_extending** files: +**01:23.131** total execution time for **examples_80_extending** files: +-----------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_examples_80_extending_example_extending_data_preprocessor.py` (``example_extending_data_preprocessor.py``) | 00:22.960 | 0.0 MB | +| :ref:`sphx_glr_examples_80_extending_example_extending_classification.py` (``example_extending_classification.py``) | 00:21.890 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_examples_80_extending_example_extending_preprocessor.py` (``example_extending_preprocessor.py``) | 00:19.502 | 0.0 MB | +| :ref:`sphx_glr_examples_80_extending_example_extending_preprocessor.py` (``example_extending_preprocessor.py``) | 00:20.218 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_examples_80_extending_example_extending_classification.py` (``example_extending_classification.py``) | 00:19.314 | 0.0 MB | +| :ref:`sphx_glr_examples_80_extending_example_extending_regression.py` (``example_extending_regression.py``) | 00:16.649 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_examples_80_extending_example_extending_regression.py` (``example_extending_regression.py``) | 00:18.018 | 0.0 MB | +| :ref:`sphx_glr_examples_80_extending_example_extending_data_preprocessor.py` (``example_extending_data_preprocessor.py``) | 00:16.212 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_examples_80_extending_example_restrict_number_of_hyperparameters.py` (``example_restrict_number_of_hyperparameters.py``) | 00:07.356 | 0.0 MB | +| :ref:`sphx_glr_examples_80_extending_example_restrict_number_of_hyperparameters.py` (``example_restrict_number_of_hyperparameters.py``) | 00:08.164 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ diff --git a/development/examples/20_basic/example_classification.html b/development/examples/20_basic/example_classification.html index f577ea23de..c28a5b173b 100644 --- a/development/examples/20_basic/example_classification.html +++ b/development/examples/20_basic/example_classification.html @@ -166,29 +166,27 @@

    View the models found by auto-sklearnOut:

    -
              rank  ensemble_weight               type      cost  duration
+
              rank  ensemble_weight                type      cost  duration
 model_id
-34           1             0.12        extra_trees  0.014184  2.009784
-7            2             0.08        extra_trees  0.014184  1.810611
-29           3             0.04        extra_trees  0.021277  2.039354
-16           4             0.06  gradient_boosting  0.021277  1.180642
-26           5             0.02        extra_trees  0.028369  2.675360
-22           6             0.06  gradient_boosting  0.028369  1.307391
-19           7             0.02        extra_trees  0.028369  3.295428
-14           8             0.02                mlp  0.028369  2.446468
-2            9             0.02      random_forest  0.028369  2.046710
-10          10             0.02      random_forest  0.028369  2.250306
-3           11             0.10                mlp  0.028369  1.233877
-8           12             0.02      random_forest  0.035461  2.323116
-5           13             0.02      random_forest  0.035461  2.383382
-12          14             0.02  gradient_boosting  0.035461  1.501771
-17          15             0.04  gradient_boosting  0.035461  1.969007
-9           16             0.02        extra_trees  0.042553  2.181164
-27          17             0.02        extra_trees  0.042553  2.232793
-30          18             0.08      liblinear_svc  0.042553  1.122427
-32          19             0.14        extra_trees  0.049645  2.035171
-33          20             0.02      random_forest  0.056738  2.228689
-28          21             0.06       bernoulli_nb  0.070922  1.066545
+34           1             0.16         extra_trees  0.014184  2.225328
+7            2             0.10         extra_trees  0.014184  2.073506
+29           3             0.06         extra_trees  0.021277  2.226427
+16           4             0.04   gradient_boosting  0.021277  1.327736
+26           5             0.02         extra_trees  0.028369  2.959632
+22           6             0.04   gradient_boosting  0.028369  1.435956
+2            7             0.04       random_forest  0.028369  2.323596
+3            8             0.10                 mlp  0.028369  1.409992
+14           9             0.02                 mlp  0.028369  2.771760
+19          10             0.02         extra_trees  0.028369  3.601704
+17          11             0.02   gradient_boosting  0.035461  2.215647
+8           12             0.02       random_forest  0.035461  2.665524
+5           13             0.02       random_forest  0.035461  2.771111
+9           14             0.02         extra_trees  0.042553  2.479754
+30          15             0.08       liblinear_svc  0.042553  1.217465
+32          16             0.16         extra_trees  0.049645  2.258368
+33          17             0.02       random_forest  0.056738  2.478173
+28          18             0.04        bernoulli_nb  0.070922  1.208415
+20          19             0.02  passive_aggressive  0.078014  0.912231
 
    
 
    
 
@@ -198,7 +196,7 @@ 
    Print the final ensemble constructed by auto-sklearn

    Out:

    -
    [(0.140000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'extra_trees', 'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'feature_agglomeration', 'classifier:extra_trees:bootstrap': 'True', 'classifier:extra_trees:criterion': 'entropy', 'classifier:extra_trees:max_depth': 'None', 'classifier:extra_trees:max_features': 0.3871420537981852, 'classifier:extra_trees:max_leaf_nodes': 'None', 'classifier:extra_trees:min_impurity_decrease': 0.0, 'classifier:extra_trees:min_samples_leaf': 5, 'classifier:extra_trees:min_samples_split': 14, 'classifier:extra_trees:min_weight_fraction_leaf': 0.0, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'robust_scaler', 'feature_preprocessor:feature_agglomeration:affinity': 'manhattan', 'feature_preprocessor:feature_agglomeration:linkage': 'complete', 'feature_preprocessor:feature_agglomeration:n_clusters': 355, 'feature_preprocessor:feature_agglomeration:pooling_func': 'mean', 'data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_max': 0.726182961545702, 'data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_min': 0.02260942170772907},
+
    [(0.160000, SimpleClassificationPipeline({'balancing:strategy': 'none', 'classifier:__choice__': 'extra_trees', 'data_preprocessor:__choice__': 'feature_type', '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': 0.4791448484072812, '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': 6, 'classifier:extra_trees:min_weight_fraction_leaf': 0.0, 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'none', 'feature_preprocessor:polynomial:degree': 3, 'feature_preprocessor:polynomial:include_bias': 'True', 'feature_preprocessor:polynomial:interaction_only': 'True', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.17184142431776436},
 dataset_properties={
   'task': 1,
   'sparse': False,
@@ -206,7 +204,7 @@ 
    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-sklearnGet the Score of the final ensembleOut:
    
-
    Accuracy score: 0.9440559440559441
+
    Accuracy score: 0.951048951048951
 
    
 
    
-
    Total running time of the script: ( 1 minutes  57.393 seconds)
    
+
    Total running time of the script: ( 2 minutes  2.438 seconds)

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