10219453 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) 8144885 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 "most_frequent" 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 "mse" 9667 init null 9667 learning_rate 0.00011591404593899206 9667 loss "deviance" 9667 max_depth 9 9667 max_features 0.9146232144744453 9667 max_leaf_nodes null 9667 min_impurity_decrease 0.25321967748470375 9667 min_impurity_split null 9667 min_samples_leaf 5 9667 min_samples_split 5 9667 min_weight_fraction_leaf 0.26443321825041594 9667 n_estimators 1567 9667 n_iter_no_change 1794 9667 presort "auto" 9667 random_state 18764 9667 subsample 0.9915732676178105 9667 tol 0.041762330199177494 9667 validation_fraction 0.43796233498487325 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 21359822 description https://api.openml.org/data/download/21359822/description.xml -1 21359823 predictions https://api.openml.org/data/download/21359823/predictions.arff area_under_roc_curve 0.49964337434352174 [0.502083,0.498985,0.500567,0.499834,0.496094,0.498049] average_cost 0 kappa 0 kb_relative_information_score 82.44253185696166 mean_absolute_error 0.27628126778334067 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 1.0124644404538525 root_mean_prior_squared_error 0.3693707377543301 root_mean_squared_error 0.37097561878056906 root_relative_squared_error 1.0043449057063811 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 8.31708747776031 kb_relative_information_score 8.31708747776031 kb_relative_information_score 8.31708747776031 kb_relative_information_score 8.31708747776031 kb_relative_information_score 8.084112487009062 kb_relative_information_score 8.204472096020098 kb_relative_information_score 8.221399340722828 kb_relative_information_score 8.221399340722828 kb_relative_information_score 8.221399340722828 kb_relative_information_score 8.221399340722828 mean_absolute_error 0.27627654625192083 mean_absolute_error 0.27627654625192083 mean_absolute_error 0.27627654625192083 mean_absolute_error 0.27627654625192083 mean_absolute_error 0.2762445006686238 mean_absolute_error 0.2762623910415846 mean_absolute_error 0.2762999670620264 mean_absolute_error 0.2762999670620264 mean_absolute_error 0.2762999670620264 mean_absolute_error 0.2762999670620264 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 1.0123543490540277 relative_absolute_error 1.0123543490540277 relative_absolute_error 1.0123543490540277 relative_absolute_error 1.0123543490540277 relative_absolute_error 1.0126105466391653 relative_absolute_error 1.0124080822633037 relative_absolute_error 1.012552430834495 relative_absolute_error 1.012552430834495 relative_absolute_error 1.012552430834495 relative_absolute_error 1.012552430834495 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 0.3709733960513406 root_mean_squared_error 0.3709733960513406 root_mean_squared_error 0.3709733960513406 root_mean_squared_error 0.3709733960513406 root_mean_squared_error 0.37093020232190294 root_mean_squared_error 0.37095609276000135 root_mean_squared_error 0.37099414199301733 root_mean_squared_error 0.37099414199301733 root_mean_squared_error 0.37099414199301733 root_mean_squared_error 0.37099414199301733 root_relative_squared_error 1.0042468430759293 root_relative_squared_error 1.0042468430759293 root_relative_squared_error 1.0042468430759293 root_relative_squared_error 1.0042468430759293 root_relative_squared_error 1.004500593000045 root_relative_squared_error 1.0043047585466751 root_relative_squared_error 1.0044143629421307 root_relative_squared_error 1.0044143629421307 root_relative_squared_error 1.0044143629421307 root_relative_squared_error 1.0044143629421307 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 13042.349249000836 usercpu_time_millis 12882.815541997843 usercpu_time_millis 12887.044933999277 usercpu_time_millis 12956.958090002445 usercpu_time_millis 12897.982947000855 usercpu_time_millis 12893.609773000207 usercpu_time_millis 12912.876314996538 usercpu_time_millis 12874.093489001098 usercpu_time_millis 12974.279924001166 usercpu_time_millis 12844.844216997444 usercpu_time_millis_testing 9.056836999661755 usercpu_time_millis_testing 8.764059999521123 usercpu_time_millis_testing 9.041588997206418 usercpu_time_millis_testing 8.756718001677655 usercpu_time_millis_testing 10.863755000173114 usercpu_time_millis_testing 8.770864002144663 usercpu_time_millis_testing 8.910337997804163 usercpu_time_millis_testing 8.78727600138518 usercpu_time_millis_testing 11.971154999628197 usercpu_time_millis_testing 8.80141299785464 usercpu_time_millis_training 13033.292412001174 usercpu_time_millis_training 12874.051481998322 usercpu_time_millis_training 12878.003345002071 usercpu_time_millis_training 12948.201372000767 usercpu_time_millis_training 12887.119192000682 usercpu_time_millis_training 12884.838908998063 usercpu_time_millis_training 12903.965976998734 usercpu_time_millis_training 12865.306212999712 usercpu_time_millis_training 12962.308769001538 usercpu_time_millis_training 12836.04280399959