10218776 1 Jan van Rijn 3549 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) 8144208 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, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69]}}, {"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 "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 0.001961725911992663 9667 loss "deviance" 9667 max_depth 15 9667 max_features 0.5752209008375805 9667 max_leaf_nodes null 9667 min_impurity_decrease 0.3303712058135041 9667 min_impurity_split null 9667 min_samples_leaf 14 9667 min_samples_split 10 9667 min_weight_fraction_leaf 0.2154773030980005 9667 n_estimators 165 9667 n_iter_no_change 1111 9667 presort "auto" 9667 random_state 44006 9667 subsample 0.7206265237745242 9667 tol 0.008362548064994611 9667 validation_fraction 0.33930597660344397 9667 verbose 0 9667 warm_start false 9667 openml-python Sklearn_0.20.3. 458 analcatdata_authorship https://www.openml.org/data/download/52570/analcatdata_authorship.arff -1 21358468 description https://api.openml.org/data/download/21358468/description.xml -1 21358469 predictions https://api.openml.org/data/download/21358469/predictions.arff area_under_roc_curve 0.4933054020335243 [0.495548,0.49501,0.476278,0.491693] average_cost 0 kappa 0 kb_relative_information_score 10.423087800678529 mean_absolute_error 0.36133007912535364 mean_prior_absolute_error 0.3438742269346884 number_of_instances 841 [317,296,55,173] predictive_accuracy 0.3769322235434007 prior_entropy 1.789750013333858 recall 0.3769322235434007 [1,0,0,0] relative_absolute_error 1.0507623160545283 root_mean_prior_squared_error 0.41456416029192655 root_mean_squared_error 0.42051236008228815 root_relative_squared_error 1.014348080128714 total_cost 0 area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5] area_under_roc_curve 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 1.5000368220574982 kb_relative_information_score 0.570304797505126 kb_relative_information_score 0.570304797505126 kb_relative_information_score 0.570304797505126 kb_relative_information_score 0.570304797505126 kb_relative_information_score 0.570304797505126 kb_relative_information_score 1.4013971748986334 kb_relative_information_score 1.5567099387322636 kb_relative_information_score 1.5567099387322636 kb_relative_information_score 1.5567099387322636 mean_absolute_error 0.36165109384708716 mean_absolute_error 0.3609021839641618 mean_absolute_error 0.3609021839641618 mean_absolute_error 0.3609021839641618 mean_absolute_error 0.3609021839641618 mean_absolute_error 0.3609021839641618 mean_absolute_error 0.3614991380352424 mean_absolute_error 0.3618786059821863 mean_absolute_error 0.3618786059821863 mean_absolute_error 0.3618786059821863 mean_prior_absolute_error 0.3442046641141667 mean_prior_absolute_error 0.3427444350521277 mean_prior_absolute_error 0.3427444350521277 mean_prior_absolute_error 0.3427444350521277 mean_prior_absolute_error 0.3427444350521277 mean_prior_absolute_error 0.3427444350521277 mean_prior_absolute_error 0.34444209636517364 mean_prior_absolute_error 0.34545646661031304 mean_prior_absolute_error 0.34545646661031304 mean_prior_absolute_error 0.34545646661031304 number_of_instances 85 [32,30,6,17] number_of_instances 84 [32,30,5,17] number_of_instances 84 [32,30,5,17] number_of_instances 84 [32,30,5,17] number_of_instances 84 [32,30,5,17] number_of_instances 84 [32,30,5,17] number_of_instances 84 [32,29,6,17] number_of_instances 84 [31,29,6,18] number_of_instances 84 [31,29,6,18] number_of_instances 84 [31,29,6,18] predictive_accuracy 0.3764705882352941 predictive_accuracy 0.38095238095238093 predictive_accuracy 0.38095238095238093 predictive_accuracy 0.38095238095238093 predictive_accuracy 0.38095238095238093 predictive_accuracy 0.38095238095238093 predictive_accuracy 0.38095238095238093 predictive_accuracy 0.36904761904761907 predictive_accuracy 0.36904761904761907 predictive_accuracy 0.36904761904761907 prior_entropy 1.789750013333858 prior_entropy 1.789750013333858 prior_entropy 1.789750013333858 prior_entropy 1.789750013333858 prior_entropy 1.789750013333858 prior_entropy 1.789750013333858 prior_entropy 1.789750013333858 prior_entropy 1.789750013333858 prior_entropy 1.789750013333858 prior_entropy 1.789750013333858 recall 0.3764705882352941 [1,0,0,0] recall 0.38095238095238093 [1,0,0,0] recall 0.38095238095238093 [1,0,0,0] recall 0.38095238095238093 [1,0,0,0] recall 0.38095238095238093 [1,0,0,0] recall 0.38095238095238093 [1,0,0,0] recall 0.38095238095238093 [1,0,0,0] recall 0.36904761904761907 [1,0,0,0] recall 0.36904761904761907 [1,0,0,0] recall 0.36904761904761907 [1,0,0,0] relative_absolute_error 1.0506862095486706 relative_absolute_error 1.0529775163505497 relative_absolute_error 1.0529775163505497 relative_absolute_error 1.0529775163505497 relative_absolute_error 1.0529775163505497 relative_absolute_error 1.0529775163505497 relative_absolute_error 1.049520781141644 relative_absolute_error 1.0475375074984425 relative_absolute_error 1.0475375074984425 relative_absolute_error 1.0475375074984425 root_mean_prior_squared_error 0.4149625045447236 root_mean_prior_squared_error 0.41319928740982936 root_mean_prior_squared_error 0.41319928740982936 root_mean_prior_squared_error 0.41319928740982936 root_mean_prior_squared_error 0.41319928740982936 root_mean_prior_squared_error 0.41319928740982936 root_mean_prior_squared_error 0.4152484947944263 root_mean_prior_squared_error 0.416468105230372 root_mean_prior_squared_error 0.416468105230372 root_mean_prior_squared_error 0.416468105230372 root_mean_squared_error 0.42084131788058093 root_mean_squared_error 0.4199654622217756 root_mean_squared_error 0.4199654622217756 root_mean_squared_error 0.4199654622217756 root_mean_squared_error 0.4199654622217756 root_mean_squared_error 0.4199654622217756 root_mean_squared_error 0.4207401692502181 root_mean_squared_error 0.4212356833526174 root_mean_squared_error 0.4212356833526174 root_mean_squared_error 0.4212356833526174 root_relative_squared_error 1.0141670952711914 root_relative_squared_error 1.0163750882881732 root_relative_squared_error 1.0163750882881732 root_relative_squared_error 1.0163750882881732 root_relative_squared_error 1.0163750882881732 root_relative_squared_error 1.0163750882881732 root_relative_squared_error 1.0132250315765996 root_relative_squared_error 1.011447642838359 root_relative_squared_error 1.011447642838359 root_relative_squared_error 1.011447642838359 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 659.1092769958777 usercpu_time_millis 608.3751369988022 usercpu_time_millis 606.0549750000064 usercpu_time_millis 605.1224830043793 usercpu_time_millis 605.3513969964115 usercpu_time_millis 605.9508130019822 usercpu_time_millis 606.4549369984888 usercpu_time_millis 606.5806330007035 usercpu_time_millis 605.4917740002566 usercpu_time_millis 604.9297450008453 usercpu_time_millis_testing 1.5224669987219386 usercpu_time_millis_testing 1.3967829981993418 usercpu_time_millis_testing 1.3736619985138532 usercpu_time_millis_testing 1.4108550021774136 usercpu_time_millis_testing 1.4387779992830474 usercpu_time_millis_testing 1.4224760016077198 usercpu_time_millis_testing 1.3839509992976673 usercpu_time_millis_testing 1.4211440029612277 usercpu_time_millis_testing 1.436467999155866 usercpu_time_millis_testing 1.4330869998957496 usercpu_time_millis_training 657.5868099971558 usercpu_time_millis_training 606.9783540006028 usercpu_time_millis_training 604.6813130014925 usercpu_time_millis_training 603.7116280022019 usercpu_time_millis_training 603.9126189971284 usercpu_time_millis_training 604.5283370003744 usercpu_time_millis_training 605.0709859991912 usercpu_time_millis_training 605.1594889977423 usercpu_time_millis_training 604.0553060011007 usercpu_time_millis_training 603.4966580009495