10222468 1 Jan van Rijn 14967 Supervised Classification 9666 sklearn.pipeline.Pipeline(columntransformer=sklearn.compose._column_transformer.ColumnTransformer(numeric=sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,standardscaler=sklearn.preprocessing.data.StandardScaler),nominal=sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder)),variancethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,gradientboostingclassifier=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier)(4) 8147900 copy true 9559 fill_value -1 9559 missing_values NaN 9559 strategy "constant" 9559 verbose 0 9559 n_jobs null 9606 remainder "passthrough" 9606 sparse_threshold 0.3 9606 transformer_weights null 9606 transformers [{"oml-python:serialized_object": "component_reference", "value": {"key": "numeric", "step_name": "numeric", "argument_1": [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32]}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "nominal", "step_name": "nominal", "argument_1": [0, 1]}}] 9606 memory null 9607 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "imputer", "step_name": "imputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}] 9607 axis 0 9608 copy true 9608 missing_values "NaN" 9608 strategy "mean" 9608 verbose 0 9608 copy true 9609 with_mean true 9609 with_std true 9609 memory null 9610 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "onehotencoder", "step_name": "onehotencoder"}}] 9610 categorical_features null 9611 categories null 9611 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 9611 handle_unknown "ignore" 9611 n_values null 9611 sparse true 9611 threshold 0.0 9612 memory null 9666 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "columntransformer", "step_name": "columntransformer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "variancethreshold", "step_name": "variancethreshold"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "gradientboostingclassifier", "step_name": "gradientboostingclassifier"}}] 9666 criterion "mae" 9667 init null 9667 learning_rate 4.552139985326971e-05 9667 loss "deviance" 9667 max_depth 27 9667 max_features 0.5037819401032936 9667 max_leaf_nodes null 9667 min_impurity_decrease 0.8111392479534325 9667 min_impurity_split null 9667 min_samples_leaf 7 9667 min_samples_split 17 9667 min_weight_fraction_leaf 0.4701059591969256 9667 n_estimators 222 9667 n_iter_no_change 1782 9667 presort "auto" 9667 random_state 5926 9667 subsample 0.8902337354798657 9667 tol 0.0005088330620682347 9667 validation_fraction 0.28274525150972596 9667 verbose 0 9667 warm_start false 9667 openml-python Sklearn_0.20.3. 23380 cjs https://www.openml.org/data/download/1910442/phpDAC5gS -1 21365852 description https://api.openml.org/data/download/21365852/description.xml -1 21365853 predictions https://api.openml.org/data/download/21365853/predictions.arff area_under_roc_curve 0.501059084930343 [0.502083,0.499343,0.500567,0.499354,0.503906,0.50114] average_cost 0 kappa 0 kb_relative_information_score 97.46660151749342 mean_absolute_error 0.2769247409236775 mean_prior_absolute_error 0.27287997162595995 number_of_instances 2796 [576,341,680,511,414,274] predictive_accuracy 0.24320457796852646 prior_entropy 2.5206634795042744 recall 0.24320457796852646 [0,0,1,0,0,0] relative_absolute_error 1.01482252168826 root_mean_prior_squared_error 0.3693707377543301 root_mean_squared_error 0.3716317832483809 root_relative_squared_error 1.0061213443918091 total_cost 0 area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5,0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5,0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5,0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5,0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5,0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5,0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5,0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5,0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5,0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5,0.5,0.5] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kb_relative_information_score 9.813073137798066 kb_relative_information_score 9.813073137798066 kb_relative_information_score 9.813073137798066 kb_relative_information_score 9.813073137798066 kb_relative_information_score 9.546741418714562 kb_relative_information_score 9.69711919038966 kb_relative_information_score 9.742612089298786 kb_relative_information_score 9.742612089298786 kb_relative_information_score 9.742612089298786 kb_relative_information_score 9.742612089298786 mean_absolute_error 0.27692881502423633 mean_absolute_error 0.27692881502423633 mean_absolute_error 0.27692881502423633 mean_absolute_error 0.27692881502423633 mean_absolute_error 0.2769151133604655 mean_absolute_error 0.27692594292121486 mean_absolute_error 0.27692276616181655 mean_absolute_error 0.27692276616181655 mean_absolute_error 0.27692276616181655 mean_absolute_error 0.27692276616181655 mean_prior_absolute_error 0.272904982835389 mean_prior_absolute_error 0.272904982835389 mean_prior_absolute_error 0.272904982835389 mean_prior_absolute_error 0.272904982835389 mean_prior_absolute_error 0.272804289453111 mean_prior_absolute_error 0.27287651677373237 mean_prior_absolute_error 0.2728747259382053 mean_prior_absolute_error 0.2728747259382053 mean_prior_absolute_error 0.2728747259382053 mean_prior_absolute_error 0.2728747259382053 number_of_instances 280 [58,34,68,51,41,28] number_of_instances 280 [58,34,68,51,41,28] number_of_instances 280 [58,34,68,51,41,28] number_of_instances 280 [58,34,68,51,41,28] number_of_instances 280 [58,34,68,52,41,27] number_of_instances 280 [58,35,68,51,41,27] number_of_instances 279 [57,34,68,51,42,27] number_of_instances 279 [57,34,68,51,42,27] number_of_instances 279 [57,34,68,51,42,27] number_of_instances 279 [57,34,68,51,42,27] predictive_accuracy 0.24285714285714285 predictive_accuracy 0.24285714285714285 predictive_accuracy 0.24285714285714285 predictive_accuracy 0.24285714285714285 predictive_accuracy 0.24285714285714285 predictive_accuracy 0.24285714285714285 predictive_accuracy 0.24372759856630824 predictive_accuracy 0.24372759856630824 predictive_accuracy 0.24372759856630824 predictive_accuracy 0.24372759856630824 prior_entropy 2.5206634795042744 prior_entropy 2.5206634795042744 prior_entropy 2.5206634795042744 prior_entropy 2.5206634795042744 prior_entropy 2.5206634795042744 prior_entropy 2.5206634795042744 prior_entropy 2.5206634795042744 prior_entropy 2.5206634795042744 prior_entropy 2.5206634795042744 prior_entropy 2.5206634795042744 recall 0.24285714285714285 [0,0,1,0,0,0] recall 0.24285714285714285 [0,0,1,0,0,0] recall 0.24285714285714285 [0,0,1,0,0,0] recall 0.24285714285714285 [0,0,1,0,0,0] recall 0.24285714285714285 [0,0,1,0,0,0] recall 0.24285714285714285 [0,0,1,0,0,0] recall 0.24372759856630824 [0,0,1,0,0,0] recall 0.24372759856630824 [0,0,1,0,0,0] recall 0.24372759856630824 [0,0,1,0,0,0] recall 0.24372759856630824 [0,0,1,0,0,0] relative_absolute_error 1.0147444438245175 relative_absolute_error 1.0147444438245175 relative_absolute_error 1.0147444438245175 relative_absolute_error 1.0147444438245175 relative_absolute_error 1.0150687656546582 relative_absolute_error 1.0148397751311091 relative_absolute_error 1.0148347935474538 relative_absolute_error 1.0148347935474538 relative_absolute_error 1.0148347935474538 relative_absolute_error 1.0148347935474538 root_mean_prior_squared_error 0.36940459271455434 root_mean_prior_squared_error 0.36940459271455434 root_mean_prior_squared_error 0.36940459271455434 root_mean_prior_squared_error 0.36940459271455434 root_mean_prior_squared_error 0.36926827610333357 root_mean_prior_squared_error 0.36936606105183667 root_mean_prior_squared_error 0.3693636368423697 root_mean_prior_squared_error 0.3693636368423697 root_mean_prior_squared_error 0.3693636368423697 root_mean_prior_squared_error 0.3693636368423697 root_mean_squared_error 0.3716371685330624 root_mean_squared_error 0.3716371685330624 root_mean_squared_error 0.3716371685330624 root_mean_squared_error 0.3716371685330624 root_mean_squared_error 0.37161816642014184 root_mean_squared_error 0.3716331871913858 root_mean_squared_error 0.37162944271657383 root_mean_squared_error 0.37162944271657383 root_mean_squared_error 0.37162944271657383 root_mean_squared_error 0.37162944271657383 root_relative_squared_error 1.0060437142973835 root_relative_squared_error 1.0060437142973835 root_relative_squared_error 1.0060437142973835 root_relative_squared_error 1.0060437142973835 root_relative_squared_error 1.0063636398490692 root_relative_squared_error 1.0061378842796034 root_relative_squared_error 1.0061343501314155 root_relative_squared_error 1.0061343501314155 root_relative_squared_error 1.0061343501314155 root_relative_squared_error 1.0061343501314155 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 usercpu_time_millis 107722.98333900108 usercpu_time_millis 111162.09003500262 usercpu_time_millis 108715.46902200134 usercpu_time_millis 106899.20899299977 usercpu_time_millis 112495.75287800326 usercpu_time_millis 112013.53991400174 usercpu_time_millis 109464.23512199908 usercpu_time_millis 108312.08827099908 usercpu_time_millis 110813.20869599949 usercpu_time_millis 110537.79130800103 usercpu_time_millis_testing 6.519174999993993 usercpu_time_millis_testing 5.786240002635168 usercpu_time_millis_testing 6.8600720005633775 usercpu_time_millis_testing 5.793336000351701 usercpu_time_millis_testing 6.77676200211863 usercpu_time_millis_testing 5.673171999660553 usercpu_time_millis_testing 4.966617998434231 usercpu_time_millis_testing 5.909480998525396 usercpu_time_millis_testing 6.745360999047989 usercpu_time_millis_testing 5.875045000721002 usercpu_time_millis_training 107716.46416400108 usercpu_time_millis_training 111156.30379499999 usercpu_time_millis_training 108708.60895000078 usercpu_time_millis_training 106893.41565699942 usercpu_time_millis_training 112488.97611600114 usercpu_time_millis_training 112007.86674200208 usercpu_time_millis_training 109459.26850400065 usercpu_time_millis_training 108306.17879000056 usercpu_time_millis_training 110806.46333500044 usercpu_time_millis_training 110531.91626300031