10218790 1 Jan van Rijn 14968 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) 8144222 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": [1, 14, 18, 19, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 35]}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "nominal", "step_name": "nominal", "argument_1": [0, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 15, 16, 17, 20, 34, 36]}}] 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 "most_frequent" 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 0.0040528741408369885 9667 loss "deviance" 9667 max_depth 32 9667 max_features 0.9268071512245074 9667 max_leaf_nodes null 9667 min_impurity_decrease 0.7226694773792343 9667 min_impurity_split null 9667 min_samples_leaf 14 9667 min_samples_split 17 9667 min_weight_fraction_leaf 0.07533321487218597 9667 n_estimators 216 9667 n_iter_no_change 1047 9667 presort "auto" 9667 random_state 22298 9667 subsample 0.16377098114999378 9667 tol 0.0002355910280297539 9667 validation_fraction 0.6324699801082774 9667 verbose 0 9667 warm_start false 9667 openml-python Sklearn_0.20.3. 6332 cylinder-bands https://www.openml.org/data/download/1854224/phpAz9Len -1 21358496 description https://api.openml.org/data/download/21358496/description.xml -1 21358497 predictions https://api.openml.org/data/download/21358497/predictions.arff area_under_roc_curve 0.5 [0.5,0.5] average_cost 0 kappa 0 kb_relative_information_score 1.2419496260310956 mean_absolute_error 0.4870367041381312 mean_prior_absolute_error 0.48794587945879536 number_of_instances 540 [228,312] predictive_accuracy 0.5777777777777778 prior_entropy 0.9826037155898315 recall 0.5777777777777777 [0,1] relative_absolute_error 0.9981367291764559 root_mean_prior_squared_error 0.49391365607219145 root_mean_squared_error 0.4939448403056296 root_relative_squared_error 1.0000631370140403 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 0.11828091676486661 kb_relative_information_score 0.11828091676486661 kb_relative_information_score 0.11828091676486661 kb_relative_information_score 0.11828091676486661 kb_relative_information_score 0.11828091676486661 kb_relative_information_score 0.11828091676486661 kb_relative_information_score 0.11828091676486661 kb_relative_information_score 0.11828091676486661 kb_relative_information_score 0.14785114595608248 kb_relative_information_score 0.14785114595608248 mean_absolute_error 0.4876540039410764 mean_absolute_error 0.4876540039410764 mean_absolute_error 0.4876540039410764 mean_absolute_error 0.4876540039410764 mean_absolute_error 0.4876540039410764 mean_absolute_error 0.4876540039410764 mean_absolute_error 0.4876540039410764 mean_absolute_error 0.4876540039410764 mean_absolute_error 0.48456750492634565 mean_absolute_error 0.48456750492634565 mean_prior_absolute_error 0.48851988519885264 mean_prior_absolute_error 0.48851988519885264 mean_prior_absolute_error 0.48851988519885264 mean_prior_absolute_error 0.48851988519885264 mean_prior_absolute_error 0.48851988519885264 mean_prior_absolute_error 0.48851988519885264 mean_prior_absolute_error 0.48851988519885264 mean_prior_absolute_error 0.48851988519885264 mean_prior_absolute_error 0.4856498564985656 mean_prior_absolute_error 0.4856498564985656 number_of_instances 54 [23,31] number_of_instances 54 [23,31] number_of_instances 54 [23,31] number_of_instances 54 [23,31] number_of_instances 54 [23,31] number_of_instances 54 [23,31] number_of_instances 54 [23,31] number_of_instances 54 [23,31] number_of_instances 54 [22,32] number_of_instances 54 [22,32] predictive_accuracy 0.5740740740740741 predictive_accuracy 0.5740740740740741 predictive_accuracy 0.5740740740740741 predictive_accuracy 0.5740740740740741 predictive_accuracy 0.5740740740740741 predictive_accuracy 0.5740740740740741 predictive_accuracy 0.5740740740740741 predictive_accuracy 0.5740740740740741 predictive_accuracy 0.5925925925925926 predictive_accuracy 0.5925925925925926 prior_entropy 0.9826037155898315 prior_entropy 0.9826037155898315 prior_entropy 0.9826037155898315 prior_entropy 0.9826037155898315 prior_entropy 0.9826037155898315 prior_entropy 0.9826037155898315 prior_entropy 0.9826037155898315 prior_entropy 0.9826037155898315 prior_entropy 0.9826037155898315 prior_entropy 0.9826037155898315 recall 0.5740740740740741 [0,1] recall 0.5740740740740741 [0,1] recall 0.5740740740740741 [0,1] recall 0.5740740740740741 [0,1] recall 0.5740740740740741 [0,1] recall 0.5740740740740741 [0,1] recall 0.5740740740740741 [0,1] recall 0.5740740740740741 [0,1] recall 0.5925925925925926 [0,1] recall 0.5925925925925926 [0,1] relative_absolute_error 0.9982275414286896 relative_absolute_error 0.9982275414286896 relative_absolute_error 0.9982275414286896 relative_absolute_error 0.9982275414286896 relative_absolute_error 0.9982275414286896 relative_absolute_error 0.9982275414286896 relative_absolute_error 0.9982275414286896 relative_absolute_error 0.9982275414286896 relative_absolute_error 0.9977713334870033 relative_absolute_error 0.9977713334870033 root_mean_prior_squared_error 0.49449439369385695 root_mean_prior_squared_error 0.49449439369385695 root_mean_prior_squared_error 0.49449439369385695 root_mean_prior_squared_error 0.49449439369385695 root_mean_prior_squared_error 0.49449439369385695 root_mean_prior_squared_error 0.49449439369385695 root_mean_prior_squared_error 0.49449439369385695 root_mean_prior_squared_error 0.49449439369385695 root_mean_prior_squared_error 0.4915838450298872 root_mean_prior_squared_error 0.4915838450298872 root_mean_squared_error 0.4945693127029826 root_mean_squared_error 0.4945693127029826 root_mean_squared_error 0.4945693127029826 root_mean_squared_error 0.4945693127029826 root_mean_squared_error 0.4945693127029826 root_mean_squared_error 0.4945693127029826 root_mean_squared_error 0.4945693127029826 root_mean_squared_error 0.4945693127029826 root_mean_squared_error 0.49143901559885317 root_mean_squared_error 0.49143901559885317 root_relative_squared_error 1.0001515062861805 root_relative_squared_error 1.0001515062861805 root_relative_squared_error 1.0001515062861805 root_relative_squared_error 1.0001515062861805 root_relative_squared_error 1.0001515062861805 root_relative_squared_error 1.0001515062861805 root_relative_squared_error 1.0001515062861805 root_relative_squared_error 1.0001515062861805 root_relative_squared_error 0.9997053820370658 root_relative_squared_error 0.9997053820370658 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 193.38583699936862 usercpu_time_millis 194.32442700053798 usercpu_time_millis 178.58686999898055 usercpu_time_millis 178.51258800146752 usercpu_time_millis 177.61489999611513 usercpu_time_millis 177.9674099998374 usercpu_time_millis 177.88060499879066 usercpu_time_millis 179.13856300219777 usercpu_time_millis 177.9555920002167 usercpu_time_millis 178.50122199888574 usercpu_time_millis_testing 5.240498001512606 usercpu_time_millis_testing 5.25338700026623 usercpu_time_millis_testing 4.87243699899409 usercpu_time_millis_testing 4.948614001477836 usercpu_time_millis_testing 4.813289997400716 usercpu_time_millis_testing 4.880388998572016 usercpu_time_millis_testing 4.8939939988486 usercpu_time_millis_testing 4.920105002383934 usercpu_time_millis_testing 4.790065999259241 usercpu_time_millis_testing 4.909740997391054 usercpu_time_millis_training 188.14533899785602 usercpu_time_millis_training 189.07104000027175 usercpu_time_millis_training 173.71443299998646 usercpu_time_millis_training 173.56397399998968 usercpu_time_millis_training 172.8016099987144 usercpu_time_millis_training 173.08702100126538 usercpu_time_millis_training 172.98661099994206 usercpu_time_millis_training 174.21845799981384 usercpu_time_millis_training 173.16552600095747 usercpu_time_millis_training 173.59148100149469