10150809 1 Jan van Rijn 146606 Supervised Classification 8815 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,decisiontreeclassifier=sklearn.tree.tree.DecisionTreeClassifier)(1) 8076454 axis 0 8778 copy true 8778 missing_values "NaN" 8778 strategy "median" 8778 verbose 0 8778 copy true 8779 with_mean true 8779 with_std true 8779 memory null 8780 copy true 8781 fill_value -1 8781 missing_values NaN 8781 strategy "constant" 8781 verbose 0 8781 categorical_features null 8782 categories null 8782 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 8782 handle_unknown "ignore" 8782 n_values null 8782 sparse true 8782 class_weight null 8783 criterion "gini" 8783 max_depth null 8783 max_features 1.0 8783 max_leaf_nodes null 8783 min_impurity_decrease 0.0 8783 min_impurity_split null 8783 min_samples_leaf 7 8783 min_samples_split 19 8783 min_weight_fraction_leaf 0.0 8783 presort false 8783 random_state 7343 8783 splitter "best" 8783 n_jobs null 8812 remainder "passthrough" 8812 sparse_threshold 0.3 8812 transformer_weights null 8812 memory null 8813 memory null 8815 threshold 0.0 8816 openml-python Sklearn_0.20.0. 23512 higgs https://www.openml.org/data/download/2063675/phpZLgL9q -1 21222157 description https://api.openml.org/data/download/21222157/description.xml -1 21222158 predictions https://api.openml.org/data/download/21222158/predictions.arff area_under_roc_curve 0.6917516711989554 [0.691752,0.691752] average_cost 0 f_measure 0.641954799740053 [0.623517,0.658399] kappa 0.28196885403692923 kb_relative_information_score 25551.262150790546 mean_absolute_error 0.36974539314329113 mean_prior_absolute_error 0.4983667141368659 number_of_instances 98050 [46223,51827] precision 0.6421987560666564 [0.617946,0.663829] predictive_accuracy 0.6418052014278429 prior_entropy 0.9976424301660018 recall 0.6418052014278429 [0.629189,0.653057] relative_absolute_error 0.7419143025706737 root_mean_prior_squared_error 0.4991826723867985 root_mean_squared_error 0.5226680536572428 root_relative_squared_error 1.0470476692593336 total_cost 0 area_under_roc_curve 0.6925224447460481 [0.692522,0.692522] area_under_roc_curve 0.6895020601187508 [0.689502,0.689502] area_under_roc_curve 0.6876141710189508 [0.687614,0.687614] area_under_roc_curve 0.6888187658400925 [0.688819,0.688819] area_under_roc_curve 0.7007785705239302 [0.700779,0.700779] area_under_roc_curve 0.690044981124842 [0.690045,0.690045] area_under_roc_curve 0.6977279347412191 [0.697728,0.697728] area_under_roc_curve 0.6865828170566942 [0.686583,0.686583] area_under_roc_curve 0.6909117431392264 [0.690912,0.690912] area_under_roc_curve 0.6930890214347022 [0.693089,0.693089] 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 0.6388763790071463 [0.617396,0.65804] f_measure 0.634982307166029 [0.617782,0.650327] f_measure 0.6373889241634579 [0.622933,0.650285] f_measure 0.6433555785939234 [0.621905,0.662484] f_measure 0.6508702976013546 [0.633886,0.666017] f_measure 0.6451716843678328 [0.628217,0.660291] f_measure 0.6467133016679217 [0.630254,0.661391] f_measure 0.6371750489615126 [0.618501,0.653827] f_measure 0.6409178906714577 [0.621697,0.658058] f_measure 0.6439633844392525 [0.622472,0.663128] kappa 0.27543620895974724 kappa 0.2682245494927851 kappa 0.27349167876986646 kappa 0.2843895736938019 kappa 0.2999921019592249 kappa 0.2886132681634662 kappa 0.291769802225223 kappa 0.27238370705583353 kappa 0.2797880684009681 kappa 0.28560065793792067 kb_relative_information_score 2555.717120539021 kb_relative_information_score 2515.7962964459857 kb_relative_information_score 2506.866407315903 kb_relative_information_score 2532.9113911879945 kb_relative_information_score 2688.9029252530913 kb_relative_information_score 2530.013666451428 kb_relative_information_score 2640.2262515765447 kb_relative_information_score 2475.729099606943 kb_relative_information_score 2525.8395959337 kb_relative_information_score 2579.259396475952 mean_absolute_error 0.3693928452419027 mean_absolute_error 0.3714721594743804 mean_absolute_error 0.37216179086600737 mean_absolute_error 0.371196021701018 mean_absolute_error 0.36310413204697467 mean_absolute_error 0.3713035851937087 mean_absolute_error 0.36562343421943977 mean_absolute_error 0.37358632695758276 mean_absolute_error 0.3708816725797869 mean_absolute_error 0.36873196315205253 mean_prior_absolute_error 0.4983707944371693 mean_prior_absolute_error 0.4983707944371693 mean_prior_absolute_error 0.4983707944371693 mean_prior_absolute_error 0.49836496543694453 mean_prior_absolute_error 0.49836496543694453 mean_prior_absolute_error 0.49836496543694453 mean_prior_absolute_error 0.49836496543694453 mean_prior_absolute_error 0.49836496543694453 mean_prior_absolute_error 0.49836496543694453 mean_prior_absolute_error 0.49836496543694453 number_of_instances 9805 [4623,5182] number_of_instances 9805 [4623,5182] number_of_instances 9805 [4623,5182] number_of_instances 9805 [4622,5183] number_of_instances 9805 [4622,5183] number_of_instances 9805 [4622,5183] number_of_instances 9805 [4622,5183] number_of_instances 9805 [4622,5183] number_of_instances 9805 [4622,5183] number_of_instances 9805 [4622,5183] precision 0.6388961083541689 [0.616796,0.658612] precision 0.6353860389998066 [0.609777,0.658233] precision 0.638131999603731 [0.610638,0.66266] precision 0.6433662596227812 [0.621569,0.662804] precision 0.6512188225675367 [0.626453,0.673304] precision 0.6455561621115931 [0.620333,0.668049] precision 0.6471468219805654 [0.621633,0.669899] precision 0.6374238351214189 [0.612917,0.659278] precision 0.6410982933736621 [0.617321,0.662302] precision 0.6439697246893575 [0.62227,0.66332] predictive_accuracy 0.6388577256501784 predictive_accuracy 0.634778174400816 predictive_accuracy 0.6371239163691994 predictive_accuracy 0.6433452320244772 predictive_accuracy 0.65068842427333 predictive_accuracy 0.6449770525242223 predictive_accuracy 0.6465068842427333 predictive_accuracy 0.6370219275879654 predictive_accuracy 0.6407955124936257 predictive_accuracy 0.6439571647118817 prior_entropy 0.9976424301660018 prior_entropy 0.9976424301660018 prior_entropy 0.9976424301660018 prior_entropy 0.9976424301660018 prior_entropy 0.9976424301660018 prior_entropy 0.9976424301660018 prior_entropy 0.9976424301660018 prior_entropy 0.9976424301660018 prior_entropy 0.9976424301660018 prior_entropy 0.9976424301660018 recall 0.6388577256501785 [0.617997,0.657468] recall 0.634778174400816 [0.626,0.642609] recall 0.6371239163691994 [0.635734,0.638364] recall 0.6433452320244774 [0.622241,0.662165] recall 0.65068842427333 [0.641497,0.658885] recall 0.6449770525242223 [0.636305,0.652711] recall 0.6465068842427333 [0.639117,0.653097] recall 0.6370219275879653 [0.624189,0.648466] recall 0.6407955124936257 [0.626136,0.653868] recall 0.6439571647118817 [0.622674,0.662937] relative_absolute_error 0.741200827506502 relative_absolute_error 0.7453730507902239 relative_absolute_error 0.7467568224705162 relative_absolute_error 0.7448276814072787 relative_absolute_error 0.7285908063955117 relative_absolute_error 0.7450435141807492 relative_absolute_error 0.7336459413812871 relative_absolute_error 0.7496239761357194 relative_absolute_error 0.7441969205331561 relative_absolute_error 0.739883396154793 root_mean_prior_squared_error 0.4991867593509677 root_mean_prior_squared_error 0.4991867593509677 root_mean_prior_squared_error 0.4991867593509677 root_mean_prior_squared_error 0.4991809208203937 root_mean_prior_squared_error 0.4991809208203937 root_mean_prior_squared_error 0.4991809208203937 root_mean_prior_squared_error 0.4991809208203937 root_mean_prior_squared_error 0.4991809208203937 root_mean_prior_squared_error 0.4991809208203937 root_mean_prior_squared_error 0.4991809208203937 root_mean_squared_error 0.5228929508365479 root_mean_squared_error 0.5234295311251933 root_mean_squared_error 0.5252600810278271 root_mean_squared_error 0.5237605048688899 root_mean_squared_error 0.5176851746426451 root_mean_squared_error 0.5236815492385571 root_mean_squared_error 0.5178463214330931 root_mean_squared_error 0.5258817356931917 root_mean_squared_error 0.5249492231581286 root_mean_squared_error 0.5212214571164284 root_relative_squared_error 1.0474896239563776 root_relative_squared_error 1.0485645328528859 root_relative_squared_error 1.0522315970695204 root_relative_squared_error 1.049239830737321 root_relative_squared_error 1.0370692329182774 root_relative_squared_error 1.0490816603685436 root_relative_squared_error 1.0373920553334113 root_relative_squared_error 1.0534892536135312 root_relative_squared_error 1.0516211683238719 root_relative_squared_error 1.044153402858049 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 3899.544584000978 usercpu_time_millis 3893.091251000442 usercpu_time_millis 3809.5248399986303 usercpu_time_millis 3875.0741880030546 usercpu_time_millis 3999.290233001375 usercpu_time_millis 3849.335983999481 usercpu_time_millis 3890.011825998954 usercpu_time_millis 3950.723972997366 usercpu_time_millis 3951.2161189995822 usercpu_time_millis 3939.788449999469 usercpu_time_millis_testing 14.415931000257842 usercpu_time_millis_testing 12.769979999575298 usercpu_time_millis_testing 14.11969000037061 usercpu_time_millis_testing 13.098329000058584 usercpu_time_millis_testing 14.599232999898959 usercpu_time_millis_testing 13.670647000253666 usercpu_time_millis_testing 14.62491699930979 usercpu_time_millis_testing 13.412841999524971 usercpu_time_millis_testing 13.577449000877095 usercpu_time_millis_testing 14.37825999892084 usercpu_time_millis_training 3885.12865300072 usercpu_time_millis_training 3880.3212710008665 usercpu_time_millis_training 3795.4051499982597 usercpu_time_millis_training 3861.975859002996 usercpu_time_millis_training 3984.691000001476 usercpu_time_millis_training 3835.6653369992273 usercpu_time_millis_training 3875.386908999644 usercpu_time_millis_training 3937.3111309978412 usercpu_time_millis_training 3937.638669998705 usercpu_time_millis_training 3925.410190000548