6021403 1 Jan van Rijn 3950 Supervised Classification predictive_accuracy 6969 sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.ensemble.forest.RandomForestClassifier)(1) 4056088 bootstrap true 6902 class_weight null 6902 criterion "entropy" 6902 max_depth null 6902 max_features 0.8790420927816791 6902 max_leaf_nodes null 6902 min_impurity_split 1e-07 6902 min_samples_leaf 13 6902 min_samples_split 19 6902 min_weight_fraction_leaf 0.0 6902 n_estimators 100 6902 n_jobs 1 6902 oob_score false 6902 random_state 40113 6902 verbose 0 6902 warm_start false 6902 axis 0 6947 categorical_features [0] 6947 copy true 6947 fill_empty 0 6947 missing_values "NaN" 6947 strategy "median" 6947 strategy_nominal "most_frequent" 6947 verbose 0 6947 categorical_features [0] 6948 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 6948 handle_unknown "ignore" 6948 n_values "auto" 6948 sparse false 6948 threshold 0.0 6949 openml-pimp openml-python Sklearn_0.18.1. 1116 musk https://www.openml.org/data/download/53999/musk.arff -1 12965927 description https://api.openml.org/data/download/12965927/description.xml -1 12965928 predictions https://api.openml.org/data/download/12965928/predictions.arff area_under_roc_curve 0.9984393601200307 [0.998439,0.998439] average_cost 0 f_measure 0.986097143023772 [0.991876,0.954386] kappa 0.946265347790779 kb_relative_information_score 5673.654262863859 mean_absolute_error 0.03702286433676236 mean_prior_absolute_error 0.26083092213436454 number_of_instances 6598 [5581,1017] precision 0.9861191660805863 [0.988434,0.973415] predictive_accuracy 0.9862079418005456 prior_entropy 0.6203559250859288 recall 0.9862079418005456 [0.995341,0.936087] relative_absolute_error 0.1419420060850392 root_mean_prior_squared_error 0.36108063272361846 root_mean_squared_error 0.10986488558273239 root_relative_squared_error 0.3042669022540075 total_cost 0 area_under_roc_curve 0.9986007545298359 [0.998601,0.998601] area_under_roc_curve 0.9971537001897534 [0.997154,0.997154] area_under_roc_curve 0.9993499191791412 [0.99935,0.99935] area_under_roc_curve 0.9988931056293485 [0.998893,0.998893] area_under_roc_curve 0.99913908215616 [0.999139,0.999139] area_under_roc_curve 0.9974699557242253 [0.99747,0.99747] area_under_roc_curve 0.996767165647621 [0.996767,0.996767] area_under_roc_curve 0.9981551760489141 [0.998155,0.998155] area_under_roc_curve 0.9993257390255155 [0.999326,0.999326] area_under_roc_curve 0.9990773270875476 [0.999077,0.999077] 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 0.9892829557148752 [0.993767,0.964467] f_measure 0.978335367000654 [0.987567,0.927835] f_measure 0.9938896103896104 [0.996429,0.98] f_measure 0.9877275428077567 [0.99287,0.959596] f_measure 0.9863907808258676 [0.991928,0.956098] f_measure 0.9784304663308224 [0.987544,0.928571] f_measure 0.9741905117387475 [0.984781,0.916256] f_measure 0.9939393939393939 [0.996416,0.980392] f_measure 0.9923333823696536 [0.99554,0.974619] f_measure 0.9863150843527514 [0.991943,0.955224] kappa 0.9582384206529992 kappa 0.9154403689874807 kappa 0.9764302549817868 kappa 0.9524735364009507 kappa 0.9480260394792103 kappa 0.9161402744500108 kappa 0.9010372565622354 kappa 0.9768079274720639 kappa 0.9701623638289973 kappa 0.9471668195868483 kb_relative_information_score 563.3541981547716 kb_relative_information_score 547.294319926898 kb_relative_information_score 576.1067833842992 kb_relative_information_score 589.9678306743483 kb_relative_information_score 577.7030152683994 kb_relative_information_score 552.6894749483102 kb_relative_information_score 543.7760751411957 kb_relative_information_score 579.7907117749742 kb_relative_information_score 570.4512619772632 kb_relative_information_score 572.5205916135305 mean_absolute_error 0.03812101689736882 mean_absolute_error 0.04387804816527653 mean_absolute_error 0.034785831860705156 mean_absolute_error 0.029703058148493913 mean_absolute_error 0.033751218333876856 mean_absolute_error 0.043542545864419996 mean_absolute_error 0.0436047588972427 mean_absolute_error 0.03235818070065819 mean_absolute_error 0.03555844943385921 mean_absolute_error 0.03492013029459143 mean_prior_absolute_error 0.2600651974288342 mean_prior_absolute_error 0.26111294765840265 mean_prior_absolute_error 0.26111294765840265 mean_prior_absolute_error 0.26111294765840265 mean_prior_absolute_error 0.26111294765840265 mean_prior_absolute_error 0.26111294765840265 mean_prior_absolute_error 0.26111294765840265 mean_prior_absolute_error 0.26111294765840265 mean_prior_absolute_error 0.2602257782682673 mean_prior_absolute_error 0.2602257782682673 number_of_instances 660 [559,101] number_of_instances 660 [558,102] number_of_instances 660 [558,102] number_of_instances 660 [558,102] number_of_instances 660 [558,102] number_of_instances 660 [558,102] number_of_instances 660 [558,102] number_of_instances 660 [558,102] number_of_instances 659 [558,101] number_of_instances 659 [558,101] precision 0.9893956184182249 [0.989362,0.989583] precision 0.9787786004564938 [0.978873,0.978261] precision 0.9939825299255904 [0.992883,1] precision 0.9878969213410702 [0.987589,0.989583] precision 0.9864263066072342 [0.992819,0.951456] precision 0.978636602852827 [0.980565,0.968085] precision 0.9741468064516647 [0.9839,0.920792] precision 0.9939393939393939 [0.996416,0.980392] precision 0.9924801289428786 [0.991119,1] precision 0.9862958187311508 [0.991055,0.96] predictive_accuracy 0.9893939393939394 predictive_accuracy 0.9787878787878788 predictive_accuracy 0.9939393939393939 predictive_accuracy 0.9878787878787878 predictive_accuracy 0.9863636363636364 predictive_accuracy 0.9787878787878788 predictive_accuracy 0.9742424242424242 predictive_accuracy 0.9939393939393939 predictive_accuracy 0.992412746585736 predictive_accuracy 0.9863429438543246 prior_entropy 0.6203559250859288 prior_entropy 0.6203559250859288 prior_entropy 0.6203559250859288 prior_entropy 0.6203559250859288 prior_entropy 0.6203559250859288 prior_entropy 0.6203559250859288 prior_entropy 0.6203559250859288 prior_entropy 0.6203559250859288 prior_entropy 0.6203559250859288 prior_entropy 0.6203559250859288 recall 0.9893939393939394 [0.998211,0.940594] recall 0.9787878787878788 [0.996416,0.882353] recall 0.9939393939393939 [1,0.960784] recall 0.9878787878787879 [0.998208,0.931373] recall 0.9863636363636363 [0.991039,0.960784] recall 0.9787878787878788 [0.994624,0.892157] recall 0.9742424242424242 [0.985663,0.911765] recall 0.9939393939393939 [0.996416,0.980392] recall 0.992412746585736 [1,0.950495] recall 0.9863429438543247 [0.992832,0.950495] relative_absolute_error 0.14658253881817646 relative_absolute_error 0.1680424067774662 relative_absolute_error 0.1332213977616048 relative_absolute_error 0.11375559279945215 relative_absolute_error 0.12925907595371874 relative_absolute_error 0.1667575133860613 relative_absolute_error 0.1669957743891276 relative_absolute_error 0.12392407573365656 relative_absolute_error 0.13664460788816213 relative_absolute_error 0.13419166435768015 root_mean_prior_squared_error 0.360018747598774 root_mean_prior_squared_error 0.36147095160214215 root_mean_prior_squared_error 0.36147095160214215 root_mean_prior_squared_error 0.36147095160214215 root_mean_prior_squared_error 0.36147095160214215 root_mean_prior_squared_error 0.36147095160214215 root_mean_prior_squared_error 0.36147095160214215 root_mean_prior_squared_error 0.36147095160214215 root_mean_prior_squared_error 0.3602416958959955 root_mean_prior_squared_error 0.3602416958959955 root_mean_squared_error 0.11365690784241399 root_mean_squared_error 0.12692946702071048 root_mean_squared_error 0.09772298514652851 root_mean_squared_error 0.09992878866000718 root_mean_squared_error 0.10257198933368268 root_mean_squared_error 0.12502407567601492 root_mean_squared_error 0.12796184779865355 root_mean_squared_error 0.09775353798021973 root_mean_squared_error 0.09894326802251228 root_mean_squared_error 0.10129370599963082 root_relative_squared_error 0.31569719243921124 root_relative_squared_error 0.3511470740819503 root_relative_squared_error 0.27034810048606234 root_relative_squared_error 0.2764503986201224 root_relative_squared_error 0.28376274463841267 root_relative_squared_error 0.3458758584109529 root_relative_squared_error 0.3540031286926106 root_relative_squared_error 0.27043262410699453 root_relative_squared_error 0.2746580119672709 root_relative_squared_error 0.2811826258692583 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 36425.077428000805 usercpu_time_millis 35164.217444000315 usercpu_time_millis 34143.54037500016 usercpu_time_millis 35735.50511299982 usercpu_time_millis 35031.077034999726 usercpu_time_millis 35367.49052399955 usercpu_time_millis 33736.18336299933 usercpu_time_millis 33714.16351000062 usercpu_time_millis 35422.82605499986 usercpu_time_millis 33963.42432399979 usercpu_time_millis_testing 31.686623000496184 usercpu_time_millis_testing 32.73806299966964 usercpu_time_millis_testing 33.0389840000862 usercpu_time_millis_testing 31.6496619998361 usercpu_time_millis_testing 32.43758299959154 usercpu_time_millis_testing 31.92453999963618 usercpu_time_millis_testing 32.74121499998728 usercpu_time_millis_testing 32.49264500027493 usercpu_time_millis_testing 31.890027999907034 usercpu_time_millis_testing 32.96974499971839 usercpu_time_millis_training 36393.39080500031 usercpu_time_millis_training 35131.479381000645 usercpu_time_millis_training 34110.50139100007 usercpu_time_millis_training 35703.85545099998 usercpu_time_millis_training 34998.639452000134 usercpu_time_millis_training 35335.56598399991 usercpu_time_millis_training 33703.44214799934 usercpu_time_millis_training 33681.67086500034 usercpu_time_millis_training 35390.93602699995 usercpu_time_millis_training 33930.45457900007