9865473 6892 Scikit-learn Bot 3561 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) 7794875 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 "most_frequent" 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 "friedman_mse" 8843 init null 8843 learning_rate 0.048889864719939675 8843 loss "deviance" 8843 max_depth 1 8843 max_features 0.8285585049585015 8843 max_leaf_nodes null 8843 min_impurity_decrease 0.14689475791275197 8843 min_impurity_split null 8843 min_samples_leaf 16 8843 min_samples_split 2 8843 min_weight_fraction_leaf 0.12678664630862146 8843 n_estimators 271 8843 n_iter_no_change 147 8843 presort "auto" 8843 random_state 17329 8843 subsample 0.15620247582143165 8843 tol 0.004223457765412561 8843 validation_fraction 0.20048632668378463 8843 verbose 0 8843 warm_start false 8843 openml-python Sklearn_0.20.1. 470 profb https://www.openml.org/data/download/52582/profb.arff -1 20651392 description https://api.openml.org/data/download/20651392/description.xml -1 20651393 predictions https://api.openml.org/data/download/20651393/predictions.arff area_under_roc_curve 0.6414471061862245 [0.641447,0.641447] average_cost 0 f_measure 0.6274573613597029 [0.777007,0.328358] kappa 0.13793103448275842 kb_relative_information_score 28.683226846562466 mean_absolute_error 0.41924766824895 mean_prior_absolute_error 0.4446092977250259 number_of_instances 672 [448,224] precision 0.6309999839411604 [0.698752,0.495495] predictive_accuracy 0.6651785714285714 prior_entropy 0.918789600139413 recall 0.6651785714285714 [0.875,0.245536] relative_absolute_error 0.942957491879171 root_mean_prior_squared_error 0.47140478021723453 root_mean_squared_error 0.4606649732032766 root_relative_squared_error 0.9772174414332225 total_cost 0 area_under_roc_curve 0.6705314009661836 [0.670531,0.670531] area_under_roc_curve 0.6376811594202898 [0.637681,0.637681] area_under_roc_curve 0.5858585858585859 [0.585859,0.585859] area_under_roc_curve 0.5883838383838383 [0.588384,0.588384] area_under_roc_curve 0.6525252525252524 [0.652525,0.652525] area_under_roc_curve 0.6707070707070706 [0.670707,0.670707] area_under_roc_curve 0.6424242424242425 [0.642424,0.642424] area_under_roc_curve 0.7212121212121212 [0.721212,0.721212] area_under_roc_curve 0.6274703557312252 [0.62747,0.62747] area_under_roc_curve 0.6175889328063242 [0.617589,0.617589] 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 f_measure 0.6164875482408321 [0.776699,0.30303] f_measure 0.6251919394892989 [0.803738,0.275862] f_measure 0.5734354141801441 [0.721649,0.27027] f_measure 0.5853425181783392 [0.796296,0.153846] f_measure 0.6366301676349376 [0.762887,0.378378] f_measure 0.6397717295873575 [0.78,0.352941] f_measure 0.6805090195282092 [0.795918,0.444444] f_measure 0.6748531068428605 [0.815534,0.387097] f_measure 0.6190102120974078 [0.75,0.368421] f_measure 0.6000702370500439 [0.76,0.294118] kappa 0.12331838565022422 kappa 0.15801886792452816 kappa 0.005497526113248842 kappa 0.05874840357598997 kappa 0.1528312259483232 kappa 0.15771428571428592 kappa 0.25389755011135856 kappa 0.24271267102914917 kappa 0.1336206896551724 kappa 0.09255079006771999 kb_relative_information_score 4.375217287139627 kb_relative_information_score 2.7995546924860553 kb_relative_information_score -0.616536046697748 kb_relative_information_score 3.9513305272674604 kb_relative_information_score 2.9949223319051903 kb_relative_information_score 2.4646819362528056 kb_relative_information_score 2.501305361733971 kb_relative_information_score 6.73480211464817 kb_relative_information_score 1.0606677332670922 kb_relative_information_score 2.417280908559823 mean_absolute_error 0.4140161430726722 mean_absolute_error 0.42476779986109825 mean_absolute_error 0.43324265418583874 mean_absolute_error 0.41225507087898994 mean_absolute_error 0.413795663369774 mean_absolute_error 0.419763283233715 mean_absolute_error 0.41939445931718194 mean_absolute_error 0.3996681465320768 mean_absolute_error 0.43072276497171436 mean_absolute_error 0.42484638950769377 mean_prior_absolute_error 0.4462384360272305 mean_prior_absolute_error 0.4462384360272305 mean_prior_absolute_error 0.44295584392577236 mean_prior_absolute_error 0.44295584392577236 mean_prior_absolute_error 0.44295584392577236 mean_prior_absolute_error 0.44295584392577236 mean_prior_absolute_error 0.44295584392577236 mean_prior_absolute_error 0.44295584392577236 mean_prior_absolute_error 0.4479162053235314 mean_prior_absolute_error 0.4479162053235314 number_of_instances 68 [45,23] number_of_instances 68 [45,23] number_of_instances 67 [45,22] number_of_instances 67 [45,22] number_of_instances 67 [45,22] number_of_instances 67 [45,22] number_of_instances 67 [45,22] number_of_instances 67 [45,22] number_of_instances 67 [44,23] number_of_instances 67 [44,23] precision 0.6255070993914807 [0.689655,0.5] precision 0.6844560404807085 [0.693548,0.666667] precision 0.5615193264446996 [0.673077,0.333333] precision 0.6226012793176973 [0.68254,0.5] precision 0.6311327975507081 [0.711538,0.466667] precision 0.6404341926729986 [0.709091,0.5] precision 0.6818602405760952 [0.735849,0.571429] precision 0.7052667696002745 [0.724138,0.666667] precision 0.6148488327592805 [0.692308,0.466667] precision 0.6016669897266913 [0.678571,0.454545] predictive_accuracy 0.6617647058823529 predictive_accuracy 0.6911764705882354 predictive_accuracy 0.5970149253731344 predictive_accuracy 0.6716417910447761 predictive_accuracy 0.6567164179104478 predictive_accuracy 0.6716417910447761 predictive_accuracy 0.7014925373134328 predictive_accuracy 0.7164179104477612 predictive_accuracy 0.6417910447761195 predictive_accuracy 0.6417910447761195 prior_entropy 0.918789600139413 prior_entropy 0.918789600139413 prior_entropy 0.918789600139413 prior_entropy 0.918789600139413 prior_entropy 0.918789600139413 prior_entropy 0.918789600139413 prior_entropy 0.918789600139413 prior_entropy 0.918789600139413 prior_entropy 0.918789600139413 prior_entropy 0.918789600139413 recall 0.6617647058823529 [0.888889,0.217391] recall 0.6911764705882353 [0.955556,0.173913] recall 0.5970149253731343 [0.777778,0.227273] recall 0.6716417910447762 [0.955556,0.090909] recall 0.6567164179104478 [0.822222,0.318182] recall 0.6716417910447762 [0.866667,0.272727] recall 0.7014925373134329 [0.866667,0.363636] recall 0.7164179104477612 [0.933333,0.272727] recall 0.6417910447761194 [0.818182,0.304348] recall 0.6417910447761194 [0.863636,0.217391] relative_absolute_error 0.9277913098624431 relative_absolute_error 0.9518852827710653 relative_absolute_error 0.9780718781044883 relative_absolute_error 0.9306911208695396 relative_absolute_error 0.9341691029571679 relative_absolute_error 0.9476413710077526 relative_absolute_error 0.9468087283830064 relative_absolute_error 0.9022753667497624 relative_absolute_error 0.9616146052599323 relative_absolute_error 0.9484952418741489 root_mean_prior_squared_error 0.47312958596336424 root_mean_prior_squared_error 0.47312958596336424 root_mean_prior_squared_error 0.4696477541864821 root_mean_prior_squared_error 0.4696477541864821 root_mean_prior_squared_error 0.4696477541864821 root_mean_prior_squared_error 0.4696477541864821 root_mean_prior_squared_error 0.4696477541864821 root_mean_prior_squared_error 0.4696477541864821 root_mean_prior_squared_error 0.47489933081671665 root_mean_prior_squared_error 0.47489933081671665 root_mean_squared_error 0.45589497855556554 root_mean_squared_error 0.45963360910394047 root_mean_squared_error 0.4736495278058663 root_mean_squared_error 0.46630437684614967 root_mean_squared_error 0.45802392031426264 root_mean_squared_error 0.45303333911485516 root_mean_squared_error 0.4591038891781697 root_mean_squared_error 0.4386853756272709 root_mean_squared_error 0.46903764425522726 root_mean_squared_error 0.4723049786369813 root_relative_squared_error 0.963573177583671 root_relative_squared_error 0.9714750942240403 root_relative_squared_error 1.0085207979463588 root_relative_squared_error 0.9928810958627413 root_relative_squared_error 0.9752498893721868 root_relative_squared_error 0.964623667581662 root_relative_squared_error 0.977549418869092 root_relative_squared_error 0.9340731893568962 root_relative_squared_error 0.987656991321911 root_relative_squared_error 0.9945370481460277 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 246.53588199998921 usercpu_time_millis 216.67505799996434 usercpu_time_millis 184.88542699998334 usercpu_time_millis 172.7102099999911 usercpu_time_millis 147.35450300003095 usercpu_time_millis 147.87142299996958 usercpu_time_millis 181.56046900003275 usercpu_time_millis 146.22605899995733 usercpu_time_millis 143.24846900001376 usercpu_time_millis 155.06468199998835 usercpu_time_millis_testing 6.755961999999727 usercpu_time_millis_testing 6.811638999977276 usercpu_time_millis_testing 6.70463500000551 usercpu_time_millis_testing 6.6656390000048305 usercpu_time_millis_testing 6.473232000018925 usercpu_time_millis_testing 6.482022999989567 usercpu_time_millis_testing 6.793055000002823 usercpu_time_millis_testing 6.678212999986499 usercpu_time_millis_testing 6.426923999981682 usercpu_time_millis_testing 6.742642000006072 usercpu_time_millis_training 239.7799199999895 usercpu_time_millis_training 209.86341899998706 usercpu_time_millis_training 178.18079199997783 usercpu_time_millis_training 166.04457099998626 usercpu_time_millis_training 140.88127100001202 usercpu_time_millis_training 141.38939999998001 usercpu_time_millis_training 174.76741400002993 usercpu_time_millis_training 139.54784599997083 usercpu_time_millis_training 136.82154500003207 usercpu_time_millis_training 148.32203999998228