10226833 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) 8152265 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 6.746636881243836e-05 9667 loss "deviance" 9667 max_depth 3 9667 max_features 0.619361557409823 9667 max_leaf_nodes null 9667 min_impurity_decrease 0.676788465550458 9667 min_impurity_split null 9667 min_samples_leaf 2 9667 min_samples_split 9 9667 min_weight_fraction_leaf 0.11087689771149256 9667 n_estimators 520 9667 n_iter_no_change 1825 9667 presort "auto" 9667 random_state 29980 9667 subsample 0.49881748868280196 9667 tol 0.0006378339054705481 9667 validation_fraction 0.5261499847726988 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 21374582 description https://api.openml.org/data/download/21374582/description.xml -1 21374583 predictions https://api.openml.org/data/download/21374583/predictions.arff area_under_roc_curve 0.498664580660995 [0.497917,0.50049,0.500567,0.499474,0.496094,0.495618] average_cost 0 kappa 0 kb_relative_information_score 94.56682717911153 mean_absolute_error 0.2767781959431383 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 1.0142854907743897 root_mean_prior_squared_error 0.3693707377543301 root_mean_squared_error 0.37147414572102677 root_relative_squared_error 1.0056945712036767 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 9.551109315554505 kb_relative_information_score 9.551109315554505 kb_relative_information_score 9.551109315554505 kb_relative_information_score 9.551109315554505 kb_relative_information_score 9.301024667568578 kb_relative_information_score 9.45241031608574 kb_relative_information_score 9.40223873331026 kb_relative_information_score 9.40223873331026 kb_relative_information_score 9.40223873331026 kb_relative_information_score 9.40223873331026 mean_absolute_error 0.27677822850939976 mean_absolute_error 0.27677822850939976 mean_absolute_error 0.27677822850939976 mean_absolute_error 0.27677822850939976 mean_absolute_error 0.2767602821453571 mean_absolute_error 0.2767776914436343 mean_absolute_error 0.27678278433834624 mean_absolute_error 0.27678278433834624 mean_absolute_error 0.27678278433834624 mean_absolute_error 0.27678278433834624 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 1.014192652819194 relative_absolute_error 1.014192652819194 relative_absolute_error 1.014192652819194 relative_absolute_error 1.014192652819194 relative_absolute_error 1.0145012114735315 relative_absolute_error 1.0142964836843646 relative_absolute_error 1.014321804215118 relative_absolute_error 1.014321804215118 relative_absolute_error 1.014321804215118 relative_absolute_error 1.014321804215118 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 0.37147619594831527 root_mean_squared_error 0.37147619594831527 root_mean_squared_error 0.37147619594831527 root_mean_squared_error 0.37147619594831527 root_mean_squared_error 0.37145072555626424 root_mean_squared_error 0.37147415901318404 root_mean_squared_error 0.3714779606267897 root_mean_squared_error 0.3714779606267897 root_mean_squared_error 0.3714779606267897 root_mean_squared_error 0.3714779606267897 root_relative_squared_error 1.005607952025008 root_relative_squared_error 1.005607952025008 root_relative_squared_error 1.005607952025008 root_relative_squared_error 1.005607952025008 root_relative_squared_error 1.005910200236968 root_relative_squared_error 1.0057073407214083 root_relative_squared_error 1.0057242337185517 root_relative_squared_error 1.0057242337185517 root_relative_squared_error 1.0057242337185517 root_relative_squared_error 1.0057242337185517 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 4948.232686008851 usercpu_time_millis 4908.660738998151 usercpu_time_millis 4922.903332000715 usercpu_time_millis 4931.599244002427 usercpu_time_millis 4916.384751995793 usercpu_time_millis 4905.250077994424 usercpu_time_millis 4961.228349005978 usercpu_time_millis 4967.918735994317 usercpu_time_millis 4908.814074005932 usercpu_time_millis 4940.3453250051825 usercpu_time_millis_testing 4.977701006282587 usercpu_time_millis_testing 4.703678998339456 usercpu_time_millis_testing 5.092583996884059 usercpu_time_millis_testing 5.64808800118044 usercpu_time_millis_testing 5.019298994739074 usercpu_time_millis_testing 4.758662995300256 usercpu_time_millis_testing 5.0167170047643594 usercpu_time_millis_testing 4.72569099656539 usercpu_time_millis_testing 4.937625002639834 usercpu_time_millis_testing 4.738518000522163 usercpu_time_millis_training 4943.254985002568 usercpu_time_millis_training 4903.9570599998115 usercpu_time_millis_training 4917.810748003831 usercpu_time_millis_training 4925.951156001247 usercpu_time_millis_training 4911.3654530010535 usercpu_time_millis_training 4900.491414999124 usercpu_time_millis_training 4956.211632001214 usercpu_time_millis_training 4963.193044997752 usercpu_time_millis_training 4903.876449003292 usercpu_time_millis_training 4935.60680700466