9865476 6892 Scikit-learn Bot 3560 Supervised Classification 8834 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)(1) 7794878 memory null 8834 n_jobs null 8835 remainder "passthrough" 8835 sparse_threshold 0.3 8835 transformer_weights null 8835 memory null 8836 axis 0 8837 copy true 8837 missing_values "NaN" 8837 strategy "median" 8837 verbose 0 8837 copy true 8838 with_mean true 8838 with_std true 8838 memory null 8839 copy true 8840 fill_value -1 8840 missing_values NaN 8840 strategy "constant" 8840 verbose 0 8840 categorical_features null 8841 categories null 8841 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 8841 handle_unknown "ignore" 8841 n_values null 8841 sparse true 8841 threshold 0.0 8842 criterion "mse" 8843 init null 8843 learning_rate 0.2452279455728584 8843 loss "deviance" 8843 max_depth 4 8843 max_features 0.6801820779298406 8843 max_leaf_nodes null 8843 min_impurity_decrease 0.41531706310516847 8843 min_impurity_split null 8843 min_samples_leaf 11 8843 min_samples_split 17 8843 min_weight_fraction_leaf 0.4953852341056555 8843 n_estimators 475 8843 n_iter_no_change 115 8843 presort "auto" 8843 random_state 61406 8843 subsample 0.8130077397412072 8843 tol 0.03824099921780036 8843 validation_fraction 0.4075816292882247 8843 verbose 0 8843 warm_start false 8843 openml-python Sklearn_0.20.1. 469 analcatdata_dmft https://www.openml.org/data/download/52581/analcatdata_dmft.arff -1 20651398 description https://api.openml.org/data/download/20651398/description.xml -1 20651399 predictions https://api.openml.org/data/download/20651399/predictions.arff area_under_roc_curve 0.5003699162518067 [0.508268,0.493581,0.499641,0.500352,0.490066,0.511652] average_cost 0 kappa 0 kb_relative_information_score 14.315672213535118 mean_absolute_error 0.27723855954284893 mean_prior_absolute_error 0.2774075468769606 number_of_instances 797 [127,132,124,155,136,123] predictive_accuracy 0.1944792973651192 prior_entropy 2.580328302672365 recall 0.1944792973651192 [0,0,0,1,0,0] relative_absolute_error 0.9993908336812961 root_mean_prior_squared_error 0.37242769802946113 root_mean_squared_error 0.37274733252707537 root_relative_squared_error 1.0008582457730868 total_cost 0 area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5,0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5,0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5,0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5,0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5,0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5,0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5,0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5,0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5,0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5,0.5,0.5] 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 1.5425402812045856 kb_relative_information_score 1.5425402812045856 kb_relative_information_score 1.5425402812045856 kb_relative_information_score 1.5425402812045856 kb_relative_information_score 1.5425402812045856 kb_relative_information_score 1.4706650579217777 kb_relative_information_score 1.4706650579217777 kb_relative_information_score 1.2450052412258439 kb_relative_information_score 1.2450052412258439 kb_relative_information_score 1.1716302092169544 mean_absolute_error 0.2771087680918226 mean_absolute_error 0.2771087680918226 mean_absolute_error 0.2771087680918226 mean_absolute_error 0.2771087680918226 mean_absolute_error 0.2771087680918226 mean_absolute_error 0.27730224193948233 mean_absolute_error 0.27730224193948233 mean_absolute_error 0.2774468081874364 mean_absolute_error 0.2774468081874364 mean_absolute_error 0.2773502571517651 mean_prior_absolute_error 0.27731942714819413 mean_prior_absolute_error 0.27731942714819413 mean_prior_absolute_error 0.27731942714819413 mean_prior_absolute_error 0.27731942714819413 mean_prior_absolute_error 0.27731942714819413 mean_prior_absolute_error 0.27750103777501023 mean_prior_absolute_error 0.27750103777501023 mean_prior_absolute_error 0.27751417416754665 mean_prior_absolute_error 0.27751417416754665 mean_prior_absolute_error 0.27745111948337176 number_of_instances 80 [13,13,12,16,14,12] number_of_instances 80 [13,13,12,16,14,12] number_of_instances 80 [13,13,12,16,14,12] number_of_instances 80 [13,13,12,16,14,12] number_of_instances 80 [13,13,12,16,14,12] number_of_instances 80 [13,14,13,15,13,12] number_of_instances 80 [13,14,13,15,13,12] number_of_instances 79 [12,13,13,15,13,13] number_of_instances 79 [12,13,13,15,13,13] number_of_instances 79 [12,13,12,15,14,13] predictive_accuracy 0.2 predictive_accuracy 0.2 predictive_accuracy 0.2 predictive_accuracy 0.2 predictive_accuracy 0.2 predictive_accuracy 0.1875 predictive_accuracy 0.1875 predictive_accuracy 0.189873417721519 predictive_accuracy 0.189873417721519 predictive_accuracy 0.189873417721519 prior_entropy 2.580328302672365 prior_entropy 2.580328302672365 prior_entropy 2.580328302672365 prior_entropy 2.580328302672365 prior_entropy 2.580328302672365 prior_entropy 2.580328302672365 prior_entropy 2.580328302672365 prior_entropy 2.580328302672365 prior_entropy 2.580328302672365 prior_entropy 2.580328302672365 recall 0.2 [0,0,0,1,0,0] recall 0.2 [0,0,0,1,0,0] recall 0.2 [0,0,0,1,0,0] recall 0.2 [0,0,0,1,0,0] recall 0.2 [0,0,0,1,0,0] recall 0.1875 [0,0,0,1,0,0] recall 0.1875 [0,0,0,1,0,0] recall 0.189873417721519 [0,0,0,1,0,0] recall 0.189873417721519 [0,0,0,1,0,0] recall 0.189873417721519 [0,0,0,1,0,0] relative_absolute_error 0.9992403739668084 relative_absolute_error 0.9992403739668084 relative_absolute_error 0.9992403739668084 relative_absolute_error 0.9992403739668084 relative_absolute_error 0.9992403739668084 relative_absolute_error 0.999283621289773 relative_absolute_error 0.999283621289773 relative_absolute_error 0.9997572521104108 relative_absolute_error 0.9997572521104108 relative_absolute_error 0.9996364681036628 root_mean_prior_squared_error 0.37230937475539966 root_mean_prior_squared_error 0.37230937475539966 root_mean_prior_squared_error 0.37230937475539966 root_mean_prior_squared_error 0.37230937475539966 root_mean_prior_squared_error 0.37230937475539966 root_mean_prior_squared_error 0.37255319238676876 root_mean_prior_squared_error 0.37255319238676876 root_mean_prior_squared_error 0.3725708221937262 root_mean_prior_squared_error 0.3725708221937262 root_mean_prior_squared_error 0.372486191510416 root_mean_squared_error 0.37267366915125233 root_mean_squared_error 0.37267366915125233 root_mean_squared_error 0.37267366915125233 root_mean_squared_error 0.37267366915125233 root_mean_squared_error 0.37267366915125233 root_mean_squared_error 0.37298024609152125 root_mean_squared_error 0.37298024609152125 root_mean_squared_error 0.37269915449964275 root_mean_squared_error 0.37269915449964275 root_mean_squared_error 0.37274475355485115 root_relative_squared_error 1.0009784722613875 root_relative_squared_error 1.0009784722613875 root_relative_squared_error 1.0009784722613875 root_relative_squared_error 1.0009784722613875 root_relative_squared_error 1.0009784722613875 root_relative_squared_error 1.0011462892104521 root_relative_squared_error 1.0011462892104521 root_relative_squared_error 1.000344450768208 root_relative_squared_error 1.000344450768208 root_relative_squared_error 1.000694152025842 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 958.3204260000002 usercpu_time_millis 929.2208150000079 usercpu_time_millis 932.1489730000394 usercpu_time_millis 929.9665109999751 usercpu_time_millis 929.2361299999357 usercpu_time_millis 823.5695690000284 usercpu_time_millis 825.7998560000033 usercpu_time_millis 1265.2184820001366 usercpu_time_millis 1269.822199000032 usercpu_time_millis 828.4310599999571 usercpu_time_millis_testing 5.575098000008438 usercpu_time_millis_testing 5.527903000029255 usercpu_time_millis_testing 5.665163999992728 usercpu_time_millis_testing 5.559168999980102 usercpu_time_millis_testing 5.672139000012066 usercpu_time_millis_testing 5.434141000023374 usercpu_time_millis_testing 5.480927000007796 usercpu_time_millis_testing 6.096900000102323 usercpu_time_millis_testing 5.944676000012805 usercpu_time_millis_testing 5.434402999981103 usercpu_time_millis_training 952.7453279999918 usercpu_time_millis_training 923.6929119999786 usercpu_time_millis_training 926.4838090000467 usercpu_time_millis_training 924.407341999995 usercpu_time_millis_training 923.5639909999236 usercpu_time_millis_training 818.135428000005 usercpu_time_millis_training 820.3189289999955 usercpu_time_millis_training 1259.1215820000343 usercpu_time_millis_training 1263.8775230000192 usercpu_time_millis_training 822.996656999976