10226483 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) 8151915 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 0.07568873798579343 9667 loss "deviance" 9667 max_depth 7 9667 max_features 0.7942529250409778 9667 max_leaf_nodes null 9667 min_impurity_decrease 0.8226668120874591 9667 min_impurity_split null 9667 min_samples_leaf 4 9667 min_samples_split 12 9667 min_weight_fraction_leaf 0.2206719760310844 9667 n_estimators 197 9667 n_iter_no_change 1429 9667 presort "auto" 9667 random_state 4183 9667 subsample 0.00661058966372563 9667 tol 3.334982442687098e-05 9667 validation_fraction 0.14295927635125372 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 21373882 description https://api.openml.org/data/download/21373882/description.xml -1 21373883 predictions https://api.openml.org/data/download/21373883/predictions.arff area_under_roc_curve 0.49985863553133725 [0.502083,0.498985,0.500567,0.499354,0.496094,0.50114] average_cost 0 kappa 0 kb_relative_information_score 47.7609063436032 mean_absolute_error 0.27360299673028554 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 1.0026496085440695 root_mean_prior_squared_error 0.3693707377543301 root_mean_squared_error 0.36988282213869805 root_relative_squared_error 1.0013863696606864 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 3.5202983587674415 kb_relative_information_score 3.5202983587674415 kb_relative_information_score 3.5202983587674415 kb_relative_information_score 3.5202983587674415 kb_relative_information_score 3.356020421117153 kb_relative_information_score 3.374952978337288 kb_relative_information_score 6.737184877270085 kb_relative_information_score 6.737184877270085 kb_relative_information_score 6.737184877270085 kb_relative_information_score 6.737184877270085 mean_absolute_error 0.2743700903285648 mean_absolute_error 0.2743700903285648 mean_absolute_error 0.2743700903285648 mean_absolute_error 0.2743700903285648 mean_absolute_error 0.2743388147794529 mean_absolute_error 0.27439755641692276 mean_absolute_error 0.2724491879524181 mean_absolute_error 0.2724491879524181 mean_absolute_error 0.2724491879524181 mean_absolute_error 0.2724491879524181 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 1.005368562632876 relative_absolute_error 1.005368562632876 relative_absolute_error 1.005368562632876 relative_absolute_error 1.005368562632876 relative_absolute_error 1.0056250043920427 relative_absolute_error 1.0055740950565255 relative_absolute_error 0.99844053719404 relative_absolute_error 0.99844053719404 relative_absolute_error 0.99844053719404 relative_absolute_error 0.99844053719404 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 0.36979787760781174 root_mean_squared_error 0.36979787760781174 root_mean_squared_error 0.36979787760781174 root_mean_squared_error 0.36979787760781174 root_mean_squared_error 0.36971451928609633 root_mean_squared_error 0.369804718711261 root_mean_squared_error 0.37002984281098983 root_mean_squared_error 0.37002984281098983 root_mean_squared_error 0.37002984281098983 root_mean_squared_error 0.37002984281098983 root_relative_squared_error 1.001064645380739 root_relative_squared_error 1.001064645380739 root_relative_squared_error 1.001064645380739 root_relative_squared_error 1.001064645380739 root_relative_squared_error 1.0012084525306957 root_relative_squared_error 1.0011875960075358 root_relative_squared_error 1.0018036587854597 root_relative_squared_error 1.0018036587854597 root_relative_squared_error 1.0018036587854597 root_relative_squared_error 1.0018036587854597 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 1461.94341500086 usercpu_time_millis 1371.0860530045466 usercpu_time_millis 1368.450717003725 usercpu_time_millis 1361.1367639969103 usercpu_time_millis 1350.2524779978557 usercpu_time_millis 1352.9342519977945 usercpu_time_millis 1365.1223950073472 usercpu_time_millis 1377.7101510058856 usercpu_time_millis 1365.456727995479 usercpu_time_millis 1377.4757020073594 usercpu_time_millis_testing 3.364197000337299 usercpu_time_millis_testing 3.288389001681935 usercpu_time_millis_testing 4.291845005354844 usercpu_time_millis_testing 3.3063230002881028 usercpu_time_millis_testing 3.275630995631218 usercpu_time_millis_testing 3.236776996345725 usercpu_time_millis_testing 3.365567004948389 usercpu_time_millis_testing 3.2949310043477453 usercpu_time_millis_testing 3.422146000957582 usercpu_time_millis_testing 3.3068350021494552 usercpu_time_millis_training 1458.5792180005228 usercpu_time_millis_training 1367.7976640028646 usercpu_time_millis_training 1364.1588719983702 usercpu_time_millis_training 1357.8304409966222 usercpu_time_millis_training 1346.9768470022245 usercpu_time_millis_training 1349.6974750014488 usercpu_time_millis_training 1361.7568280023988 usercpu_time_millis_training 1374.4152200015378 usercpu_time_millis_training 1362.0345819945214 usercpu_time_millis_training 1374.16886700521