10222384 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) 8147816 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 "mse" 9667 init null 9667 learning_rate 0.023503906351582508 9667 loss "deviance" 9667 max_depth 29 9667 max_features 0.19861324918548495 9667 max_leaf_nodes null 9667 min_impurity_decrease 0.20609753455585833 9667 min_impurity_split null 9667 min_samples_leaf 19 9667 min_samples_split 12 9667 min_weight_fraction_leaf 0.03482656129792244 9667 n_estimators 304 9667 n_iter_no_change 1676 9667 presort "auto" 9667 random_state 22395 9667 subsample 0.26416656948148587 9667 tol 1.0369286858116113e-05 9667 validation_fraction 0.9530297906089256 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 21365684 description https://api.openml.org/data/download/21365684/description.xml -1 21365685 predictions https://api.openml.org/data/download/21365685/predictions.arff area_under_roc_curve 0.5 [0.5,0.5] average_cost 0 kappa 0 kb_relative_information_score -7.56959243591206 mean_absolute_error 0.4974240280469988 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 1.007029937892753 root_mean_prior_squared_error 0.49695779405224244 root_mean_squared_error 0.49796685144508923 root_relative_squared_error 1.0020304689954027 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 -0.6971993033076886 kb_relative_information_score -0.6971993033076886 kb_relative_information_score -0.6971993033076886 kb_relative_information_score -0.6971993033076886 kb_relative_information_score -0.6971993033076886 kb_relative_information_score -0.6971993033076886 kb_relative_information_score -0.6971993033076886 kb_relative_information_score -0.8963991042527439 kb_relative_information_score -0.8963991042527439 kb_relative_information_score -0.8963991042527439 mean_absolute_error 0.4976273942538154 mean_absolute_error 0.4976273942538154 mean_absolute_error 0.4976273942538154 mean_absolute_error 0.4976273942538154 mean_absolute_error 0.4976273942538154 mean_absolute_error 0.4976273942538154 mean_absolute_error 0.4976273942538154 mean_absolute_error 0.4969495068977627 mean_absolute_error 0.4969495068977627 mean_absolute_error 0.4969495068977627 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 1.0064686894625214 relative_absolute_error 1.0064686894625214 relative_absolute_error 1.0064686894625214 relative_absolute_error 1.0064686894625214 relative_absolute_error 1.0064686894625214 relative_absolute_error 1.0064686894625214 relative_absolute_error 1.0064686894625214 relative_absolute_error 1.0083437470403878 relative_absolute_error 1.0083437470403878 relative_absolute_error 1.0083437470403878 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 0.4981710061263628 root_mean_squared_error 0.4981710061263628 root_mean_squared_error 0.4981710061263628 root_mean_squared_error 0.4981710061263628 root_mean_squared_error 0.4981710061263628 root_mean_squared_error 0.4981710061263628 root_mean_squared_error 0.4981710061263628 root_mean_squared_error 0.4974901647157458 root_mean_squared_error 0.4974901647157458 root_mean_squared_error 0.4974901647157458 root_relative_squared_error 1.0014735787011741 root_relative_squared_error 1.0014735787011741 root_relative_squared_error 1.0014735787011741 root_relative_squared_error 1.0014735787011741 root_relative_squared_error 1.0014735787011741 root_relative_squared_error 1.0014735787011741 root_relative_squared_error 1.0014735787011741 root_relative_squared_error 1.003337076967275 root_relative_squared_error 1.003337076967275 root_relative_squared_error 1.003337076967275 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 138.5630949989718 usercpu_time_millis 130.49739400230465 usercpu_time_millis 130.55987400002778 usercpu_time_millis 131.57491300080437 usercpu_time_millis 126.69701599952532 usercpu_time_millis 120.50744899897836 usercpu_time_millis 121.06067800414166 usercpu_time_millis 121.68811299852678 usercpu_time_millis 121.22875599743566 usercpu_time_millis 120.77001899888273 usercpu_time_millis_testing 0.8339960004377645 usercpu_time_millis_testing 0.8139480014506262 usercpu_time_millis_testing 0.8502769996994175 usercpu_time_millis_testing 0.8183489990187809 usercpu_time_millis_testing 0.7583509977848735 usercpu_time_millis_testing 0.760429997171741 usercpu_time_millis_testing 0.7538410027336795 usercpu_time_millis_testing 0.7669490005355328 usercpu_time_millis_testing 0.7878549986344296 usercpu_time_millis_testing 0.7625529979122803 usercpu_time_millis_training 137.72909899853403 usercpu_time_millis_training 129.68344600085402 usercpu_time_millis_training 129.70959700032836 usercpu_time_millis_training 130.7565640017856 usercpu_time_millis_training 125.93866500174045 usercpu_time_millis_training 119.74701900180662 usercpu_time_millis_training 120.30683700140798 usercpu_time_millis_training 120.92116399799124 usercpu_time_millis_training 120.44090099880123 usercpu_time_millis_training 120.00746600097045