10223768 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) 8149200 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 "mae" 9667 init null 9667 learning_rate 0.0012430606723375 9667 loss "deviance" 9667 max_depth 26 9667 max_features 0.021630790671188893 9667 max_leaf_nodes null 9667 min_impurity_decrease 0.940332423450485 9667 min_impurity_split null 9667 min_samples_leaf 16 9667 min_samples_split 20 9667 min_weight_fraction_leaf 0.20336578904753644 9667 n_estimators 613 9667 n_iter_no_change 839 9667 presort "auto" 9667 random_state 24232 9667 subsample 0.26070378685749496 9667 tol 0.00020442007586509928 9667 validation_fraction 0.9587342919002688 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 21368452 description https://api.openml.org/data/download/21368452/description.xml -1 21368453 predictions https://api.openml.org/data/download/21368453/predictions.arff area_under_roc_curve 0.5000137742755015 [0.502083,0.500179,0.499433,0.500046,0.496094,0.502761] average_cost 0 kappa 0 kb_relative_information_score 65.12100856295108 mean_absolute_error 0.2750694397703534 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 1.0080235575053291 root_mean_prior_squared_error 0.3693707377543301 root_mean_squared_error 0.37038749204921106 root_relative_squared_error 1.002752666064081 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 6.597188645799015 kb_relative_information_score 6.597188645799015 kb_relative_information_score 6.597188645799015 kb_relative_information_score 6.597188645799015 kb_relative_information_score 6.344720726674931 kb_relative_information_score 6.360046882318169 kb_relative_information_score 6.50687159269076 kb_relative_information_score 6.50687159269076 kb_relative_information_score 6.50687159269076 kb_relative_information_score 6.50687159269076 mean_absolute_error 0.27511600784792706 mean_absolute_error 0.27511600784792706 mean_absolute_error 0.27511600784792706 mean_absolute_error 0.27511600784792706 mean_absolute_error 0.27510193257541715 mean_absolute_error 0.2751477676779144 mean_absolute_error 0.2749949003022472 mean_absolute_error 0.2749949003022472 mean_absolute_error 0.2749949003022472 mean_absolute_error 0.2749949003022472 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 1.0081018125413699 relative_absolute_error 1.0081018125413699 relative_absolute_error 1.0081018125413699 relative_absolute_error 1.0081018125413699 relative_absolute_error 1.0084223130322187 relative_absolute_error 1.00832336520209 relative_absolute_error 1.0077697718495267 relative_absolute_error 1.0077697718495267 relative_absolute_error 1.0077697718495267 relative_absolute_error 1.0077697718495267 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 0.3704117026801016 root_mean_squared_error 0.3704117026801016 root_mean_squared_error 0.3704117026801016 root_mean_squared_error 0.3704117026801016 root_mean_squared_error 0.3703927026952098 root_mean_squared_error 0.37045457118567093 root_mean_squared_error 0.37034505266178885 root_mean_squared_error 0.37034505266178885 root_mean_squared_error 0.37034505266178885 root_mean_squared_error 0.37034505266178885 root_relative_squared_error 1.002726306021662 root_relative_squared_error 1.002726306021662 root_relative_squared_error 1.002726306021662 root_relative_squared_error 1.002726306021662 root_relative_squared_error 1.0030450127038846 root_relative_squared_error 1.0029469684646568 root_relative_squared_error 1.0026570450405163 root_relative_squared_error 1.0026570450405163 root_relative_squared_error 1.0026570450405163 root_relative_squared_error 1.0026570450405163 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 2124.4336150011804 usercpu_time_millis 2102.4426839976513 usercpu_time_millis 2079.4650560019363 usercpu_time_millis 2076.4965630005463 usercpu_time_millis 2062.7952409995487 usercpu_time_millis 2064.9913079978433 usercpu_time_millis 2068.055314000958 usercpu_time_millis 2069.610032001947 usercpu_time_millis 2062.8236019983888 usercpu_time_millis 2070.675046998076 usercpu_time_millis_testing 5.41888000225299 usercpu_time_millis_testing 5.185369998798706 usercpu_time_millis_testing 7.011308000073768 usercpu_time_millis_testing 5.041106000135187 usercpu_time_millis_testing 5.428704000223661 usercpu_time_millis_testing 5.196615999011556 usercpu_time_millis_testing 5.462396002258174 usercpu_time_millis_testing 5.216108002059627 usercpu_time_millis_testing 5.422401998657733 usercpu_time_millis_testing 5.233358999248594 usercpu_time_millis_training 2119.0147349989275 usercpu_time_millis_training 2097.2573139988526 usercpu_time_millis_training 2072.4537480018626 usercpu_time_millis_training 2071.455457000411 usercpu_time_millis_training 2057.366536999325 usercpu_time_millis_training 2059.7946919988317 usercpu_time_millis_training 2062.5929179986997 usercpu_time_millis_training 2064.393923999887 usercpu_time_millis_training 2057.401199999731 usercpu_time_millis_training 2065.4416879988275