10222574 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) 8148006 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 "mse" 9667 init null 9667 learning_rate 0.00016163361975917055 9667 loss "deviance" 9667 max_depth 7 9667 max_features 0.9107516675220252 9667 max_leaf_nodes null 9667 min_impurity_decrease 0.4259705969932486 9667 min_impurity_split null 9667 min_samples_leaf 9 9667 min_samples_split 10 9667 min_weight_fraction_leaf 0.06466071432885956 9667 n_estimators 839 9667 n_iter_no_change 1736 9667 presort "auto" 9667 random_state 9492 9667 subsample 0.6869610525131652 9667 tol 0.00010819687552213621 9667 validation_fraction 0.3773263257918048 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 21366064 description https://api.openml.org/data/download/21366064/description.xml -1 21366065 predictions https://api.openml.org/data/download/21366065/predictions.arff area_under_roc_curve 0.5000299308720907 [0.497917,0.500179,0.500567,0.499954,0.503906,0.497239] average_cost 0 kappa 0 kb_relative_information_score 91.51324116006215 mean_absolute_error 0.2765586008302069 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 1.0134807592595667 root_mean_prior_squared_error 0.3693707377543301 root_mean_squared_error 0.37124519480143114 root_relative_squared_error 1.0050747307664305 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 9.251661251593902 kb_relative_information_score 9.251661251593902 kb_relative_information_score 9.251661251593902 kb_relative_information_score 9.251661251593902 kb_relative_information_score 9.001836081148241 kb_relative_information_score 9.151217256675853 kb_relative_information_score 9.088385703965734 kb_relative_information_score 9.088385703965734 kb_relative_information_score 9.088385703965734 kb_relative_information_score 9.088385703965734 mean_absolute_error 0.2765850597977001 mean_absolute_error 0.2765850597977001 mean_absolute_error 0.2765850597977001 mean_absolute_error 0.2765850597977001 mean_absolute_error 0.2765616078669421 mean_absolute_error 0.2765773318263068 mean_absolute_error 0.2765265930409795 mean_absolute_error 0.2765265930409795 mean_absolute_error 0.2765265930409795 mean_absolute_error 0.2765265930409795 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 1.0134848287637563 relative_absolute_error 1.0134848287637563 relative_absolute_error 1.0134848287637563 relative_absolute_error 1.0134848287637563 relative_absolute_error 1.0137729447779702 relative_absolute_error 1.0135622335565178 relative_absolute_error 1.0133829437307478 relative_absolute_error 1.0133829437307478 relative_absolute_error 1.0133829437307478 relative_absolute_error 1.0133829437307478 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 0.3712729024617849 root_mean_squared_error 0.3712729024617849 root_mean_squared_error 0.3712729024617849 root_mean_squared_error 0.3712729024617849 root_mean_squared_error 0.3712413179747643 root_mean_squared_error 0.3712624949156657 root_mean_squared_error 0.3712140175274912 root_mean_squared_error 0.3712140175274912 root_mean_squared_error 0.3712140175274912 root_mean_squared_error 0.3712140175274912 root_relative_squared_error 1.0050576245777059 root_relative_squared_error 1.0050576245777059 root_relative_squared_error 1.0050576245777059 root_relative_squared_error 1.0050576245777059 root_relative_squared_error 1.0053431123091618 root_relative_squared_error 1.0051342937638303 root_relative_squared_error 1.0050096449692234 root_relative_squared_error 1.0050096449692234 root_relative_squared_error 1.0050096449692234 root_relative_squared_error 1.0050096449692234 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 9537.77796400027 usercpu_time_millis 9484.441240001615 usercpu_time_millis 9513.49752600072 usercpu_time_millis 9553.003166998678 usercpu_time_millis 9485.388668999803 usercpu_time_millis 9469.051960997604 usercpu_time_millis 9451.074198001152 usercpu_time_millis 9496.287228004803 usercpu_time_millis 9484.34123300467 usercpu_time_millis 9458.406911999191 usercpu_time_millis_testing 6.354443998134229 usercpu_time_millis_testing 6.043460001819767 usercpu_time_millis_testing 6.327864000923 usercpu_time_millis_testing 6.079816997953458 usercpu_time_millis_testing 7.316275998164201 usercpu_time_millis_testing 6.071986997994827 usercpu_time_millis_testing 6.354575998557266 usercpu_time_millis_testing 6.10762600263115 usercpu_time_millis_testing 6.33097000172711 usercpu_time_millis_testing 6.117547000030754 usercpu_time_millis_training 9531.423520002136 usercpu_time_millis_training 9478.397779999796 usercpu_time_millis_training 9507.169661999797 usercpu_time_millis_training 9546.923350000725 usercpu_time_millis_training 9478.07239300164 usercpu_time_millis_training 9462.979973999609 usercpu_time_millis_training 9444.719622002594 usercpu_time_millis_training 9490.179602002172 usercpu_time_millis_training 9478.010263002943 usercpu_time_millis_training 9452.28936499916