10226851 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) 8152283 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 "mae" 9667 init null 9667 learning_rate 0.014309879880553983 9667 loss "deviance" 9667 max_depth 20 9667 max_features 0.5300270250423468 9667 max_leaf_nodes null 9667 min_impurity_decrease 0.9674659008585845 9667 min_impurity_split null 9667 min_samples_leaf 7 9667 min_samples_split 18 9667 min_weight_fraction_leaf 0.20317480375646368 9667 n_estimators 224 9667 n_iter_no_change 952 9667 presort "auto" 9667 random_state 35407 9667 subsample 0.05282358311195767 9667 tol 0.00899272539971997 9667 validation_fraction 0.44316721819121063 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 21374618 description https://api.openml.org/data/download/21374618/description.xml -1 21374619 predictions https://api.openml.org/data/download/21374619/predictions.arff area_under_roc_curve 0.5 [0.5,0.5] average_cost 0 kappa 0 kb_relative_information_score -4.091570232401004 mean_absolute_error 0.4901628511395504 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 1.004543478639914 root_mean_prior_squared_error 0.49391365607219145 root_mean_squared_error 0.4941275126409087 root_relative_squared_error 1.0004329837130197 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 -0.3896733554667632 kb_relative_information_score -0.3896733554667632 kb_relative_information_score -0.3896733554667632 kb_relative_information_score -0.3896733554667632 kb_relative_information_score -0.3896733554667632 kb_relative_information_score -0.3896733554667632 kb_relative_information_score -0.3896733554667632 kb_relative_information_score -0.3896733554667632 kb_relative_information_score -0.48709169433345395 kb_relative_information_score -0.48709169433345395 mean_absolute_error 0.490631286799571 mean_absolute_error 0.490631286799571 mean_absolute_error 0.490631286799571 mean_absolute_error 0.490631286799571 mean_absolute_error 0.490631286799571 mean_absolute_error 0.490631286799571 mean_absolute_error 0.490631286799571 mean_absolute_error 0.490631286799571 mean_absolute_error 0.48828910849946383 mean_absolute_error 0.48828910849946383 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 1.004322038190644 relative_absolute_error 1.004322038190644 relative_absolute_error 1.004322038190644 relative_absolute_error 1.004322038190644 relative_absolute_error 1.004322038190644 relative_absolute_error 1.004322038190644 relative_absolute_error 1.004322038190644 relative_absolute_error 1.004322038190644 relative_absolute_error 1.0054344749938293 relative_absolute_error 1.0054344749938293 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 0.49460128832091804 root_mean_squared_error 0.49460128832091804 root_mean_squared_error 0.49460128832091804 root_mean_squared_error 0.49460128832091804 root_mean_squared_error 0.49460128832091804 root_mean_squared_error 0.49460128832091804 root_mean_squared_error 0.49460128832091804 root_mean_squared_error 0.49460128832091804 root_mean_squared_error 0.4922278497897134 root_mean_squared_error 0.4922278497897134 root_relative_squared_error 1.0002161695429195 root_relative_squared_error 1.0002161695429195 root_relative_squared_error 1.0002161695429195 root_relative_squared_error 1.0002161695429195 root_relative_squared_error 1.0002161695429195 root_relative_squared_error 1.0002161695429195 root_relative_squared_error 1.0002161695429195 root_relative_squared_error 1.0002161695429195 root_relative_squared_error 1.0013100608702612 root_relative_squared_error 1.0013100608702612 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 183.73940299352398 usercpu_time_millis 184.02502900426043 usercpu_time_millis 170.82124599255621 usercpu_time_millis 164.39197800355032 usercpu_time_millis 162.51539700169815 usercpu_time_millis 164.44711700023618 usercpu_time_millis 162.48625500156777 usercpu_time_millis 163.4029529959662 usercpu_time_millis 163.72848799801432 usercpu_time_millis 163.70904900395544 usercpu_time_millis_testing 5.16337099543307 usercpu_time_millis_testing 4.978652999852784 usercpu_time_millis_testing 4.445720995136071 usercpu_time_millis_testing 4.487575002713129 usercpu_time_millis_testing 4.401177000545431 usercpu_time_millis_testing 4.381241000373848 usercpu_time_millis_testing 4.3641320007736795 usercpu_time_millis_testing 4.425585000717547 usercpu_time_millis_testing 4.382742001325823 usercpu_time_millis_testing 4.518002999247983 usercpu_time_millis_training 178.5760319980909 usercpu_time_millis_training 179.04637600440765 usercpu_time_millis_training 166.37552499742014 usercpu_time_millis_training 159.9044030008372 usercpu_time_millis_training 158.11422000115272 usercpu_time_millis_training 160.06587599986233 usercpu_time_millis_training 158.1221230007941 usercpu_time_millis_training 158.97736799524864 usercpu_time_millis_training 159.3457459966885 usercpu_time_millis_training 159.19104600470746