10439996 8323 Heinrich Peters 31 Supervised Classification 17651 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,columntransformer=sklearn.compose._column_transformer.ColumnTransformer(num=sklearn.pipeline.Pipeline(standardscaler=sklearn.preprocessing.data.StandardScaler),cat=sklearn.pipeline.Pipeline(onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder)),randomforestclassifier=sklearn.ensemble.forest.RandomForestClassifier)(1) 8262316 add_indicator false 12737 copy true 12737 fill_value null 12737 missing_values NaN 12737 strategy "most_frequent" 12737 verbose 0 12737 copy true 13294 with_mean true 13294 with_std true 13294 categorical_features null 16348 categories null 16348 drop null 16348 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 16348 handle_unknown "ignore" 16348 n_values null 16348 sparse true 16348 n_jobs null 16375 remainder "drop" 16375 sparse_threshold 0.3 16375 transformer_weights null 16375 transformers [{"oml-python:serialized_object": "component_reference", "value": {"key": "num", "step_name": "num", "argument_1": [false, true, false, false, true, false, false, true, false, false, true, false, true, false, false, true, false, true, false, false]}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "cat", "step_name": "cat", "argument_1": [true, false, true, true, false, true, true, false, true, true, false, true, false, true, true, false, true, false, true, true]}}] 16375 verbose false 16375 memory null 16376 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}] 16376 verbose false 16376 memory null 16377 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "onehotencoder", "step_name": "onehotencoder"}}] 16377 verbose false 16377 bootstrap false 17650 class_weight null 17650 criterion "entropy" 17650 max_depth 12 17650 max_features 0.1 17650 max_leaf_nodes null 17650 min_impurity_decrease 1e-07 17650 min_impurity_split null 17650 min_samples_leaf 1 17650 min_samples_split 4 17650 min_weight_fraction_leaf 0.0 17650 n_estimators 512 17650 n_jobs -1 17650 oob_score false 17650 random_state 1 17650 verbose 0 17650 warm_start false 17650 memory null 17651 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "columntransformer", "step_name": "columntransformer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "randomforestclassifier", "step_name": "randomforestclassifier"}}] 17651 verbose false 17651 openml-python Sklearn_0.21.2. 31 credit-g https://www.openml.org/data/download/31/dataset_31_credit-g.arff -1 21804420 description https://api.openml.org/data/download/21804420/description.xml -1 21804421 predictions https://api.openml.org/data/download/21804421/predictions.arff area_under_roc_curve 0.7917857142857143 [0.791786,0.791786] average_cost 0 f_measure 0.7407055060839116 [0.847105,0.492441] kappa 0.35651697699890467 kb_relative_information_score 0.1868248151469449 mean_absolute_error 0.340294951238828 mean_prior_absolute_error 0.42015968063872167 weighted_recall 0.765 [0.93,0.38] number_of_instances 1000 [700,300] precision 0.7542603953646899 [0.777778,0.699387] predictive_accuracy 0.765 prior_entropy 0.8812914463598482 relative_absolute_error 0.8099181499793501 root_mean_prior_squared_error 0.45825774337365466 root_mean_squared_error 0.4037728187371396 root_relative_squared_error 0.8811041920745264 total_cost 0 unweighted_recall 0.655 [0.93,0.38] area_under_roc_curve 0.8476190476190476 [0.847619,0.847619] area_under_roc_curve 0.7523809523809524 [0.752381,0.752381] area_under_roc_curve 0.7447619047619048 [0.744762,0.744762] area_under_roc_curve 0.78 [0.78,0.78] area_under_roc_curve 0.7985714285714286 [0.798571,0.798571] area_under_roc_curve 0.829047619047619 [0.829048,0.829048] area_under_roc_curve 0.8161904761904762 [0.81619,0.81619] area_under_roc_curve 0.8042857142857142 [0.804286,0.804286] area_under_roc_curve 0.789047619047619 [0.789048,0.789048] area_under_roc_curve 0.7966666666666665 [0.796667,0.796667] 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 0.7698790154359617 [0.862745,0.553191] f_measure 0.6990958408679927 [0.835443,0.380952] f_measure 0.7095283146371132 [0.821192,0.44898] f_measure 0.7811320754716982 [0.857143,0.603774] f_measure 0.706060606060606 [0.833333,0.409091] f_measure 0.7611842105263159 [0.855263,0.541667] f_measure 0.7698790154359617 [0.862745,0.553191] f_measure 0.7304494554379505 [0.855346,0.439024] f_measure 0.7479627311917676 [0.849673,0.510638] f_measure 0.7204301075268817 [0.83871,0.444444] kappa 0.4293478260869566 kappa 0.2528735632183907 kappa 0.2819148936170212 kappa 0.4642857142857144 kappa 0.26966292134831454 kappa 0.4086021505376345 kappa 0.4293478260869566 kappa 0.3313953488372093 kappa 0.37500000000000006 kappa 0.3055555555555555 kb_relative_information_score 0.21765669745909022 kb_relative_information_score 0.1636462178879249 kb_relative_information_score 0.14444830428353173 kb_relative_information_score 0.15899264907271757 kb_relative_information_score 0.1743449326415199 kb_relative_information_score 0.2248898622067866 kb_relative_information_score 0.21895966247219675 kb_relative_information_score 0.19225406553919933 kb_relative_information_score 0.20032142964928507 kb_relative_information_score 0.1727343302571712 mean_absolute_error 0.3298137932606188 mean_absolute_error 0.34464520399611237 mean_absolute_error 0.35361003453407464 mean_absolute_error 0.34792612431372855 mean_absolute_error 0.3453980643694015 mean_absolute_error 0.3289543077385466 mean_absolute_error 0.3258744859957716 mean_absolute_error 0.3399198844862731 mean_absolute_error 0.3415343379701746 mean_absolute_error 0.34527327572357747 mean_prior_absolute_error 0.4201596806387232 mean_prior_absolute_error 0.4201596806387232 mean_prior_absolute_error 0.4201596806387232 mean_prior_absolute_error 0.4201596806387232 mean_prior_absolute_error 0.4201596806387232 mean_prior_absolute_error 0.4201596806387232 mean_prior_absolute_error 0.4201596806387232 mean_prior_absolute_error 0.4201596806387232 mean_prior_absolute_error 0.4201596806387232 mean_prior_absolute_error 0.4201596806387232 number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] precision 0.7860382707299788 [0.795181,0.764706] precision 0.725 [0.75,0.666667] precision 0.7094866796621183 [0.765432,0.578947] precision 0.7814229249011858 [0.818182,0.695652] precision 0.7219269102990034 [0.755814,0.642857] precision 0.7715447154471545 [0.792683,0.722222] precision 0.7860382707299788 [0.795181,0.764706] precision 0.7802860061287028 [0.764045,0.818182] precision 0.7599574769666902 [0.783133,0.705882] precision 0.7352941176470589 [0.764706,0.666667] predictive_accuracy 0.79 predictive_accuracy 0.74 predictive_accuracy 0.73 predictive_accuracy 0.79 predictive_accuracy 0.74 predictive_accuracy 0.78 predictive_accuracy 0.79 predictive_accuracy 0.77 predictive_accuracy 0.77 predictive_accuracy 0.75 prior_entropy 0.8812914463598627 prior_entropy 0.8812914463598627 prior_entropy 0.8812914463598627 prior_entropy 0.8812914463598627 prior_entropy 0.8812914463598627 prior_entropy 0.8812914463598627 prior_entropy 0.8812914463598627 prior_entropy 0.8812914463598627 prior_entropy 0.8812914463598627 prior_entropy 0.8812914463598627 relative_absolute_error 0.7849724960739657 relative_absolute_error 0.8202719582045228 relative_absolute_error 0.8416086807675588 relative_absolute_error 0.8280807044236471 relative_absolute_error 0.8220638016582893 relative_absolute_error 0.7829268797007677 relative_absolute_error 0.7755967576431417 relative_absolute_error 0.8090254732903684 relative_absolute_error 0.8128679492781814 relative_absolute_error 0.8217667987530264 root_mean_prior_squared_error 0.4582577433736552 root_mean_prior_squared_error 0.4582577433736552 root_mean_prior_squared_error 0.4582577433736552 root_mean_prior_squared_error 0.4582577433736552 root_mean_prior_squared_error 0.4582577433736552 root_mean_prior_squared_error 0.4582577433736552 root_mean_prior_squared_error 0.4582577433736552 root_mean_prior_squared_error 0.4582577433736552 root_mean_prior_squared_error 0.4582577433736552 root_mean_prior_squared_error 0.4582577433736552 root_mean_squared_error 0.38550569280264 root_mean_squared_error 0.4186820461778767 root_mean_squared_error 0.42141943172784196 root_mean_squared_error 0.40294687045692124 root_mean_squared_error 0.40667716906174894 root_mean_squared_error 0.3941180301941032 root_mean_squared_error 0.3928220966723391 root_mean_squared_error 0.40281028442966266 root_mean_squared_error 0.40657827638900007 root_mean_squared_error 0.40480676552844597 root_relative_squared_error 0.8412420703785152 root_relative_squared_error 0.9136387813014886 root_relative_squared_error 0.9196122440297185 root_relative_squared_error 0.8793018258468696 root_relative_squared_error 0.8874420016731754 root_relative_squared_error 0.8600357242032381 root_relative_squared_error 0.857207766486204 root_relative_squared_error 0.8790037708129208 root_relative_squared_error 0.8872262002509872 root_relative_squared_error 0.8833604480925787 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 unweighted_recall 0.6880952380952381 [0.942857,0.433333] unweighted_recall 0.6047619047619047 [0.942857,0.266667] unweighted_recall 0.6261904761904762 [0.885714,0.366667] unweighted_recall 0.7166666666666667 [0.9,0.533333] unweighted_recall 0.6142857142857143 [0.928571,0.3] unweighted_recall 0.680952380952381 [0.928571,0.433333] unweighted_recall 0.6880952380952381 [0.942857,0.433333] unweighted_recall 0.6357142857142857 [0.971429,0.3] unweighted_recall 0.6642857142857144 [0.928571,0.4] unweighted_recall 0.6309523809523809 [0.928571,0.333333] weighted_recall 0.79 [0.942857,0.433333] weighted_recall 0.74 [0.942857,0.266667] weighted_recall 0.73 [0.885714,0.366667] weighted_recall 0.79 [0.9,0.533333] weighted_recall 0.74 [0.928571,0.3] weighted_recall 0.78 [0.928571,0.433333] weighted_recall 0.79 [0.942857,0.433333] weighted_recall 0.77 [0.971429,0.3] weighted_recall 0.77 [0.928571,0.4] weighted_recall 0.75 [0.928571,0.333333]