10226870 1 Jan van Rijn 125923 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) 8152302 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": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13]}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "nominal", "step_name": "nominal", "argument_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 "median" 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 1.1450236597814275e-05 9667 loss "deviance" 9667 max_depth 19 9667 max_features 0.232106500258761 9667 max_leaf_nodes null 9667 min_impurity_decrease 0.6384629514930232 9667 min_impurity_split null 9667 min_samples_leaf 1 9667 min_samples_split 13 9667 min_weight_fraction_leaf 0.0867998090239801 9667 n_estimators 561 9667 n_iter_no_change 631 9667 presort "auto" 9667 random_state 35443 9667 subsample 0.12585887571413867 9667 tol 0.011908580392895983 9667 validation_fraction 0.4516125172765211 9667 verbose 0 9667 warm_start false 9667 openml-python Sklearn_0.20.3. 40509 Australian https://www.openml.org/data/download/4599631/phpjP8PU3 -1 21374656 description https://api.openml.org/data/download/21374656/description.xml -1 21374657 predictions https://api.openml.org/data/download/21374657/predictions.arff area_under_roc_curve 0.5 [0.5,0.5] average_cost 0 kappa 0 kb_relative_information_score -2.6564823153911363 mean_absolute_error 0.4951432342942287 mean_prior_absolute_error 0.49395157912373167 number_of_instances 690 [383,307] predictive_accuracy 0.5550724637681159 prior_entropy 0.9912816166382369 recall 0.5550724637681159 [1,0] relative_absolute_error 1.002412493897906 root_mean_prior_squared_error 0.49695779405224244 root_mean_squared_error 0.49707901119459597 root_relative_squared_error 1.0002439183846281 total_cost 0 area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 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 -0.24467600273339404 kb_relative_information_score -0.24467600273339404 kb_relative_information_score -0.24467600273339404 kb_relative_information_score -0.24467600273339404 kb_relative_information_score -0.24467600273339404 kb_relative_information_score -0.24467600273339404 kb_relative_information_score -0.24467600273339404 kb_relative_information_score -0.3145834320857946 kb_relative_information_score -0.3145834320857946 kb_relative_information_score -0.3145834320857946 mean_absolute_error 0.4955266631657372 mean_absolute_error 0.4955266631657372 mean_absolute_error 0.4955266631657372 mean_absolute_error 0.4955266631657372 mean_absolute_error 0.4955266631657372 mean_absolute_error 0.4955266631657372 mean_absolute_error 0.4955266631657372 mean_absolute_error 0.4942485669273764 mean_absolute_error 0.4942485669273764 mean_absolute_error 0.4942485669273764 mean_prior_absolute_error 0.49442908603501656 mean_prior_absolute_error 0.49442908603501656 mean_prior_absolute_error 0.49442908603501656 mean_prior_absolute_error 0.49442908603501656 mean_prior_absolute_error 0.49442908603501656 mean_prior_absolute_error 0.49442908603501656 mean_prior_absolute_error 0.49442908603501656 mean_prior_absolute_error 0.4928373963307357 mean_prior_absolute_error 0.4928373963307357 mean_prior_absolute_error 0.4928373963307357 number_of_instances 69 [38,31] number_of_instances 69 [38,31] number_of_instances 69 [38,31] number_of_instances 69 [38,31] number_of_instances 69 [38,31] number_of_instances 69 [38,31] number_of_instances 69 [38,31] number_of_instances 69 [39,30] number_of_instances 69 [39,30] number_of_instances 69 [39,30] predictive_accuracy 0.5507246376811594 predictive_accuracy 0.5507246376811594 predictive_accuracy 0.5507246376811594 predictive_accuracy 0.5507246376811594 predictive_accuracy 0.5507246376811594 predictive_accuracy 0.5507246376811594 predictive_accuracy 0.5507246376811594 predictive_accuracy 0.5652173913043478 predictive_accuracy 0.5652173913043478 predictive_accuracy 0.5652173913043478 prior_entropy 0.9912816166382369 prior_entropy 0.9912816166382369 prior_entropy 0.9912816166382369 prior_entropy 0.9912816166382369 prior_entropy 0.9912816166382369 prior_entropy 0.9912816166382369 prior_entropy 0.9912816166382369 prior_entropy 0.9912816166382369 prior_entropy 0.9912816166382369 prior_entropy 0.9912816166382369 recall 0.5507246376811594 [1,0] recall 0.5507246376811594 [1,0] recall 0.5507246376811594 [1,0] recall 0.5507246376811594 [1,0] recall 0.5507246376811594 [1,0] recall 0.5507246376811594 [1,0] recall 0.5507246376811594 [1,0] recall 0.5652173913043478 [1,0] recall 0.5652173913043478 [1,0] recall 0.5652173913043478 [1,0] relative_absolute_error 1.002219887870114 relative_absolute_error 1.002219887870114 relative_absolute_error 1.002219887870114 relative_absolute_error 1.002219887870114 relative_absolute_error 1.002219887870114 relative_absolute_error 1.002219887870114 relative_absolute_error 1.002219887870114 relative_absolute_error 1.0028633594105218 relative_absolute_error 1.0028633594105218 relative_absolute_error 1.0028633594105218 root_mean_prior_squared_error 0.4974379920960552 root_mean_prior_squared_error 0.4974379920960552 root_mean_prior_squared_error 0.4974379920960552 root_mean_prior_squared_error 0.4974379920960552 root_mean_prior_squared_error 0.4974379920960552 root_mean_prior_squared_error 0.4974379920960552 root_mean_prior_squared_error 0.4974379920960552 root_mean_prior_squared_error 0.4958355234110141 root_mean_prior_squared_error 0.4958355234110141 root_mean_prior_squared_error 0.4958355234110141 root_mean_squared_error 0.49746454370307097 root_mean_squared_error 0.49746454370307097 root_mean_squared_error 0.49746454370307097 root_mean_squared_error 0.49746454370307097 root_mean_squared_error 0.49746454370307097 root_mean_squared_error 0.49746454370307097 root_mean_squared_error 0.49746454370307097 root_mean_squared_error 0.49617827038610207 root_mean_squared_error 0.49617827038610207 root_mean_squared_error 0.49617827038610207 root_relative_squared_error 1.0000533767171742 root_relative_squared_error 1.0000533767171742 root_relative_squared_error 1.0000533767171742 root_relative_squared_error 1.0000533767171742 root_relative_squared_error 1.0000533767171742 root_relative_squared_error 1.0000533767171742 root_relative_squared_error 1.0000533767171742 root_relative_squared_error 1.0006912513503068 root_relative_squared_error 1.0006912513503068 root_relative_squared_error 1.0006912513503068 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 346.84630099945934 usercpu_time_millis 337.8920469986042 usercpu_time_millis 284.1603210035828 usercpu_time_millis 256.4971870087902 usercpu_time_millis 255.8580830009305 usercpu_time_millis 268.7443690010696 usercpu_time_millis 258.4027669945499 usercpu_time_millis 255.6635599976289 usercpu_time_millis 258.81344500521664 usercpu_time_millis 256.2246980087366 usercpu_time_millis_testing 0.9149300021817908 usercpu_time_millis_testing 0.9136779990512878 usercpu_time_millis_testing 0.8707450033398345 usercpu_time_millis_testing 0.7002830025157891 usercpu_time_millis_testing 0.7157040017773397 usercpu_time_millis_testing 0.7646459998795763 usercpu_time_millis_testing 0.6828529949416406 usercpu_time_millis_testing 0.6916999991517514 usercpu_time_millis_testing 1.0034529987024143 usercpu_time_millis_testing 0.7818260055501014 usercpu_time_millis_training 345.93137099727755 usercpu_time_millis_training 336.9783689995529 usercpu_time_millis_training 283.28957600024296 usercpu_time_millis_training 255.79690400627442 usercpu_time_millis_training 255.14237899915315 usercpu_time_millis_training 267.97972300119 usercpu_time_millis_training 257.71991399960825 usercpu_time_millis_training 254.97185999847716 usercpu_time_millis_training 257.8099920065142 usercpu_time_millis_training 255.4428720031865