10227818 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) 8153250 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 0.0031665260277629064 9667 loss "deviance" 9667 max_depth 27 9667 max_features 0.6446533377644299 9667 max_leaf_nodes null 9667 min_impurity_decrease 0.7703439918656337 9667 min_impurity_split null 9667 min_samples_leaf 2 9667 min_samples_split 2 9667 min_weight_fraction_leaf 0.47711939187241875 9667 n_estimators 503 9667 n_iter_no_change 227 9667 presort "auto" 9667 random_state 16083 9667 subsample 0.24847659642758368 9667 tol 0.0010661355826670877 9667 validation_fraction 0.07265805329752462 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 21376552 description https://api.openml.org/data/download/21376552/description.xml -1 21376553 predictions https://api.openml.org/data/download/21376553/predictions.arff area_under_roc_curve 0.49845910589854364 [0.497917,0.498985,0.500567,0.499354,0.496094,0.495618] average_cost 0 kappa 0 kb_relative_information_score 23.767785879050994 mean_absolute_error 0.27364394750501037 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 1.0027996773618022 root_mean_prior_squared_error 0.3693707377543301 root_mean_squared_error 0.36945784300368845 root_relative_squared_error 1.0002358206551172 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 2.3850465462117905 kb_relative_information_score 2.3850465462117905 kb_relative_information_score 2.3850465462117905 kb_relative_information_score 2.3850465462117905 kb_relative_information_score 2.362637148277459 kb_relative_information_score 2.3615641356642767 kb_relative_information_score 2.3758496025657068 kb_relative_information_score 2.3758496025657068 kb_relative_information_score 2.3758496025657068 kb_relative_information_score 2.3758496025657068 mean_absolute_error 0.2736667127654437 mean_absolute_error 0.2736667127654437 mean_absolute_error 0.2736667127654437 mean_absolute_error 0.2736667127654437 mean_absolute_error 0.2735966536134014 mean_absolute_error 0.27364499134665227 mean_absolute_error 0.2736327046038527 mean_absolute_error 0.2736327046038527 mean_absolute_error 0.2736327046038527 mean_absolute_error 0.2736327046038527 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 1.0027911909930725 relative_absolute_error 1.0027911909930725 relative_absolute_error 1.0027911909930725 relative_absolute_error 1.0027911909930725 relative_absolute_error 1.0029045150348583 relative_absolute_error 1.0028161989972817 relative_absolute_error 1.002777753282358 relative_absolute_error 1.002777753282358 relative_absolute_error 1.002777753282358 relative_absolute_error 1.002777753282358 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 0.36948418753487866 root_mean_squared_error 0.36948418753487866 root_mean_squared_error 0.36948418753487866 root_mean_squared_error 0.36948418753487866 root_mean_squared_error 0.3693776351466216 root_mean_squared_error 0.3694507481593006 root_mean_squared_error 0.36945330477925664 root_mean_squared_error 0.36945330477925664 root_mean_squared_error 0.36945330477925664 root_mean_squared_error 0.36945330477925664 root_relative_squared_error 1.0002154678688193 root_relative_squared_error 1.0002154678688193 root_relative_squared_error 1.0002154678688193 root_relative_squared_error 1.0002154678688193 root_relative_squared_error 1.0002961506589247 root_relative_squared_error 1.000229276905471 root_relative_squared_error 1.0002427633040802 root_relative_squared_error 1.0002427633040802 root_relative_squared_error 1.0002427633040802 root_relative_squared_error 1.0002427633040802 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 5632.55498700164 usercpu_time_millis 5577.311576998909 usercpu_time_millis 5587.668528991344 usercpu_time_millis 5652.225183992414 usercpu_time_millis 5573.209044989198 usercpu_time_millis 5633.590838995588 usercpu_time_millis 5587.0921590030775 usercpu_time_millis 5590.922597999452 usercpu_time_millis 5619.4753180025145 usercpu_time_millis 5583.946428996569 usercpu_time_millis_testing 4.910160998406354 usercpu_time_millis_testing 4.547807002381887 usercpu_time_millis_testing 4.920775994833093 usercpu_time_millis_testing 4.641606996301562 usercpu_time_millis_testing 4.970102992956527 usercpu_time_millis_testing 5.561055993894115 usercpu_time_millis_testing 4.9593389994697645 usercpu_time_millis_testing 4.621400999894831 usercpu_time_millis_testing 4.856603001826443 usercpu_time_millis_testing 4.597469000145793 usercpu_time_millis_training 5627.644826003234 usercpu_time_millis_training 5572.763769996527 usercpu_time_millis_training 5582.747752996511 usercpu_time_millis_training 5647.583576996112 usercpu_time_millis_training 5568.238941996242 usercpu_time_millis_training 5628.029783001693 usercpu_time_millis_training 5582.132820003608 usercpu_time_millis_training 5586.301196999557 usercpu_time_millis_training 5614.618715000688 usercpu_time_millis_training 5579.348959996423