10221343 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) 8146775 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 "median" 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 0.021846544593924034 9667 loss "deviance" 9667 max_depth 1 9667 max_features 0.6960212653554464 9667 max_leaf_nodes null 9667 min_impurity_decrease 0.6902292427380671 9667 min_impurity_split null 9667 min_samples_leaf 12 9667 min_samples_split 9 9667 min_weight_fraction_leaf 0.014735703480293905 9667 n_estimators 1279 9667 n_iter_no_change 1533 9667 presort "auto" 9667 random_state 40849 9667 subsample 0.03368464591675924 9667 tol 0.00010111245107729654 9667 validation_fraction 0.23433103814569078 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 21363602 description https://api.openml.org/data/download/21363602/description.xml -1 21363603 predictions https://api.openml.org/data/download/21363603/predictions.arff area_under_roc_curve 0.49982662345980805 [0.497917,0.499343,0.500567,0.499834,0.503906,0.496429] average_cost 0 kappa 0 kb_relative_information_score 14.034281744193121 mean_absolute_error 0.2727087607992781 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 0.9993725782597319 root_mean_prior_squared_error 0.3693707377543301 root_mean_squared_error 0.3694001403511115 root_relative_squared_error 1.0000796018573648 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 1.056259655954159 kb_relative_information_score 1.056259655954159 kb_relative_information_score 1.056259655954159 kb_relative_information_score 1.056259655954159 kb_relative_information_score 1.058686756964996 kb_relative_information_score 1.0761589159726497 kb_relative_information_score 1.9185993618597181 kb_relative_information_score 1.9185993618597181 kb_relative_information_score 1.9185993618597181 kb_relative_information_score 1.9185993618597181 mean_absolute_error 0.2726882442555952 mean_absolute_error 0.2726882442555952 mean_absolute_error 0.2726882442555952 mean_absolute_error 0.2726882442555952 mean_absolute_error 0.2725862670655605 mean_absolute_error 0.27265962314146647 mean_absolute_error 0.27277241251840195 mean_absolute_error 0.27277241251840195 mean_absolute_error 0.27277241251840195 mean_absolute_error 0.27277241251840195 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 0.9992058093716649 relative_absolute_error 0.9992058093716649 relative_absolute_error 0.9992058093716649 relative_absolute_error 0.9992058093716649 relative_absolute_error 0.9992008102658958 relative_absolute_error 0.9992051583081232 relative_absolute_error 0.9996250535132869 relative_absolute_error 0.9996250535132869 relative_absolute_error 0.9996250535132869 relative_absolute_error 0.9996250535132869 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 0.3694234874300641 root_mean_squared_error 0.3694234874300641 root_mean_squared_error 0.3694234874300641 root_mean_squared_error 0.3694234874300641 root_mean_squared_error 0.369285439565326 root_mean_squared_error 0.36938941740918024 root_mean_squared_error 0.36940817257497766 root_mean_squared_error 0.36940817257497766 root_mean_squared_error 0.36940817257497766 root_mean_squared_error 0.36940817257497766 root_relative_squared_error 1.0000511491082742 root_relative_squared_error 1.0000511491082742 root_relative_squared_error 1.0000511491082742 root_relative_squared_error 1.0000511491082742 root_relative_squared_error 1.0000464796547746 root_relative_squared_error 1.0000632336313657 root_relative_squared_error 1.0001205742205395 root_relative_squared_error 1.0001205742205395 root_relative_squared_error 1.0001205742205395 root_relative_squared_error 1.0001205742205395 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 9309.638238002663 usercpu_time_millis 9173.626429997967 usercpu_time_millis 9210.090864999074 usercpu_time_millis 9235.882835000666 usercpu_time_millis 9198.62216200272 usercpu_time_millis 9187.327315998118 usercpu_time_millis 9167.31104399878 usercpu_time_millis 9182.931585000915 usercpu_time_millis 9174.123163000331 usercpu_time_millis 9228.50409399689 usercpu_time_millis_testing 10.476864001248032 usercpu_time_millis_testing 7.948754999233643 usercpu_time_millis_testing 8.17748500048765 usercpu_time_millis_testing 7.889705000707181 usercpu_time_millis_testing 8.126010001433315 usercpu_time_millis_testing 7.986847998836311 usercpu_time_millis_testing 8.154557999660028 usercpu_time_millis_testing 8.944552999309963 usercpu_time_millis_testing 8.196411999961128 usercpu_time_millis_testing 7.981407998158829 usercpu_time_millis_training 9299.161374001415 usercpu_time_millis_training 9165.677674998733 usercpu_time_millis_training 9201.913379998587 usercpu_time_millis_training 9227.993129999959 usercpu_time_millis_training 9190.496152001288 usercpu_time_millis_training 9179.340467999282 usercpu_time_millis_training 9159.15648599912 usercpu_time_millis_training 9173.987032001605 usercpu_time_millis_training 9165.92675100037 usercpu_time_millis_training 9220.52268599873