10151023 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) 8076672 axis 0 8778 copy true 8778 missing_values "NaN" 8778 strategy "mean" 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 10 8783 min_samples_split 7 8783 min_weight_fraction_leaf 0.0 8783 presort false 8783 random_state 6281 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 21222585 description https://api.openml.org/data/download/21222585/description.xml -1 21222586 predictions https://api.openml.org/data/download/21222586/predictions.arff area_under_roc_curve 0.6979299186431053 [0.69793,0.69793] average_cost 0 f_measure 0.6456728239814012 [0.628505,0.660984] kappa 0.28958258065187314 kb_relative_information_score 25720.430060362494 mean_absolute_error 0.3696397001986329 mean_prior_absolute_error 0.4983667141368659 number_of_instances 98050 [46223,51827] precision 0.6460275569460505 [0.621058,0.668297] predictive_accuracy 0.6454869964303928 prior_entropy 0.9976424301660018 recall 0.6454869964303926 [0.636134,0.653829] relative_absolute_error 0.7417022239112043 root_mean_prior_squared_error 0.4991826723867985 root_mean_squared_error 0.5136281240289226 root_relative_squared_error 1.0289382072760145 total_cost 0 area_under_roc_curve 0.7004686975739997 [0.700469,0.700469] area_under_roc_curve 0.6965280364074949 [0.696528,0.696528] area_under_roc_curve 0.6984513649095485 [0.698451,0.698451] area_under_roc_curve 0.6948008597157117 [0.694801,0.694801] area_under_roc_curve 0.70715434733914 [0.707154,0.707154] area_under_roc_curve 0.6946272485031407 [0.694627,0.694627] area_under_roc_curve 0.7046520124165203 [0.704652,0.704652] area_under_roc_curve 0.6924432286325672 [0.692443,0.692443] area_under_roc_curve 0.6923238839687682 [0.692324,0.692324] area_under_roc_curve 0.6976695982012893 [0.69767,0.69767] 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 0.6466543250080974 [0.626173,0.664926] f_measure 0.6437364575937539 [0.626563,0.659058] f_measure 0.6492799980512762 [0.633741,0.663142] f_measure 0.6421088236054605 [0.624853,0.657497] f_measure 0.6536188596128641 [0.636655,0.668746] f_measure 0.643254281202701 [0.626866,0.657869] f_measure 0.6506404706659284 [0.63671,0.663063] f_measure 0.6369325860721372 [0.620175,0.651876] f_measure 0.6430370039625893 [0.626174,0.658075] f_measure 0.6473777046489815 [0.627049,0.665506] kappa 0.29110320075298346 kappa 0.2857153874570333 kappa 0.2970464056603975 kappa 0.2824488250593259 kappa 0.3054860477642904 kappa 0.2848725267435897 kappa 0.30004195807341394 kappa 0.2721875374712217 kappa 0.28436348924545807 kappa 0.2925608671122297 kb_relative_information_score 2607.0228630556658 kb_relative_information_score 2565.449662695999 kb_relative_information_score 2600.927582670336 kb_relative_information_score 2530.2597663747924 kb_relative_information_score 2702.0764137961482 kb_relative_information_score 2512.4613088533506 kb_relative_information_score 2678.0075030934254 kb_relative_information_score 2469.888592511998 kb_relative_information_score 2493.0636682091103 kb_relative_information_score 2561.2726990981687 mean_absolute_error 0.3677504754114061 mean_absolute_error 0.3700825983725088 mean_absolute_error 0.36837695896635964 mean_absolute_error 0.37156516679006163 mean_absolute_error 0.36322184983745204 mean_absolute_error 0.37272864849650633 mean_absolute_error 0.36443944432056735 mean_absolute_error 0.3742694137013301 mean_absolute_error 0.3734406882571198 mean_absolute_error 0.3705217578330778 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 0.6467068895864577 [0.624623,0.666408] precision 0.6440945114231358 [0.619088,0.666404] precision 0.649802911123613 [0.623847,0.672958] precision 0.6424767110520793 [0.617268,0.664957] precision 0.6539540356035795 [0.629387,0.675862] precision 0.643716505858949 [0.617907,0.666733] precision 0.65139685972635 [0.624013,0.675816] precision 0.6373868311666608 [0.611438,0.660527] precision 0.6434441648311143 [0.617994,0.66614] precision 0.6474431673571569 [0.625161,0.667313] predictive_accuracy 0.6466088730239673 predictive_accuracy 0.6435492095869455 predictive_accuracy 0.6490566037735849 predictive_accuracy 0.6419173890872004 predictive_accuracy 0.6534421213666497 predictive_accuracy 0.6430392656807752 predictive_accuracy 0.6503824579296277 predictive_accuracy 0.6367159612442631 predictive_accuracy 0.6428352881183069 predictive_accuracy 0.6473227944926059 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 0.6466088730239674 [0.627731,0.66345] recall 0.6435492095869454 [0.63422,0.651872] recall 0.6490566037735849 [0.643954,0.653609] recall 0.6419173890872004 [0.632627,0.650203] recall 0.6534421213666497 [0.644093,0.661779] recall 0.6430392656807751 [0.636088,0.649238] recall 0.6503824579296278 [0.649935,0.650781] recall 0.6367159612442631 [0.629165,0.64345] recall 0.642835288118307 [0.634574,0.650203] recall 0.6473227944926058 [0.628949,0.663708] relative_absolute_error 0.737905349824365 relative_absolute_error 0.7425848434606973 relative_absolute_error 0.739162412962788 relative_absolute_error 0.7455683937659815 relative_absolute_error 0.7288270143929461 relative_absolute_error 0.7479029914747602 relative_absolute_error 0.7312701927211974 relative_absolute_error 0.7509946317618597 relative_absolute_error 0.749331743112607 relative_absolute_error 0.7434747294248916 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 0.5128449172372813 root_mean_squared_error 0.5143556363806984 root_mean_squared_error 0.5133800049204834 root_mean_squared_error 0.5163721834179577 root_mean_squared_error 0.5075157187610889 root_mean_squared_error 0.5154688924982931 root_mean_squared_error 0.5090062864906446 root_mean_squared_error 0.5171429172828897 root_mean_squared_error 0.5173269351529091 root_mean_squared_error 0.5127727259921305 root_relative_squared_error 1.0273608176308036 root_relative_squared_error 1.0303871782365641 root_relative_squared_error 1.0284327364531254 root_relative_squared_error 1.03443894163525 root_relative_squared_error 1.016696948126537 root_relative_squared_error 1.0326293954727483 root_relative_squared_error 1.019682975170812 root_relative_squared_error 1.0359829386767745 root_relative_squared_error 1.0363515783069046 root_relative_squared_error 1.0272282144706153 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 3638.9315630003694 usercpu_time_millis 3397.613168001044 usercpu_time_millis 3421.159039999111 usercpu_time_millis 3455.712068001958 usercpu_time_millis 3525.624842999605 usercpu_time_millis 3501.169301000118 usercpu_time_millis 3492.872962000547 usercpu_time_millis 3517.0120440016035 usercpu_time_millis 3515.5242979999457 usercpu_time_millis 3474.139511998146 usercpu_time_millis_testing 13.507207000657218 usercpu_time_millis_testing 14.671613000245998 usercpu_time_millis_testing 14.058725999348098 usercpu_time_millis_testing 13.786851000986644 usercpu_time_millis_testing 13.873982999939471 usercpu_time_millis_testing 13.694716999452794 usercpu_time_millis_testing 14.283370999692124 usercpu_time_millis_testing 13.611086000310024 usercpu_time_millis_testing 13.320342000952223 usercpu_time_millis_testing 13.240975998996873 usercpu_time_millis_training 3625.424355999712 usercpu_time_millis_training 3382.941555000798 usercpu_time_millis_training 3407.100313999763 usercpu_time_millis_training 3441.9252170009713 usercpu_time_millis_training 3511.7508599996654 usercpu_time_millis_training 3487.4745840006653 usercpu_time_millis_training 3478.589591000855 usercpu_time_millis_training 3503.4009580012935 usercpu_time_millis_training 3502.2039559989935 usercpu_time_millis_training 3460.8985359991493