5996223 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) 4030956 bootstrap false 6902 class_weight null 6902 criterion "gini" 6902 max_depth null 6902 max_features 0.3735405263873568 6902 max_leaf_nodes null 6902 min_impurity_split 1e-07 6902 min_samples_leaf 20 6902 min_samples_split 3 6902 min_weight_fraction_leaf 0.0 6902 n_estimators 100 6902 n_jobs 1 6902 oob_score false 6902 random_state 2255 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 12915582 description https://api.openml.org/data/download/12915582/description.xml -1 12915583 predictions https://api.openml.org/data/download/12915583/predictions.arff area_under_roc_curve 0.9981949925976198 [0.998195,0.998195] average_cost 0 f_measure 0.9866689552493089 [0.992243,0.956083] kappa 0.9483318514667417 kb_relative_information_score 5535.679857676467 mean_absolute_error 0.04514505234588602 mean_prior_absolute_error 0.26083092213436454 number_of_instances 6598 [5581,1017] precision 0.9867723332296949 [0.987575,0.982365] predictive_accuracy 0.9868141861170052 prior_entropy 0.6203559250859288 recall 0.9868141861170051 [0.996954,0.93117] relative_absolute_error 0.17308167289547816 root_mean_prior_squared_error 0.36108063272361846 root_mean_squared_error 0.1160482679593291 root_relative_squared_error 0.32139156033925476 total_cost 0 area_under_roc_curve 0.998281939106254 [0.998282,0.998282] area_under_roc_curve 0.9963982008574038 [0.996398,0.996398] area_under_roc_curve 0.9987349778621127 [0.998735,0.998735] area_under_roc_curve 0.9982430248084897 [0.998243,0.998243] area_under_roc_curve 0.9989809543889241 [0.998981,0.998981] area_under_roc_curve 0.9965387588727247 [0.996539,0.996539] area_under_roc_curve 0.9973118279569892 [0.997312,0.997312] area_under_roc_curve 0.9984011525757257 [0.998401,0.998401] area_under_roc_curve 0.9997161006423222 [0.999716,0.999716] area_under_roc_curve 0.9991660456368218 [0.999166,0.999166] 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 0.9845899066843565 [0.991119,0.948454] f_measure 0.9815118282835618 [0.989324,0.938776] f_measure 0.9892385622432497 [0.993767,0.964467] f_measure 0.9892843505500906 [0.993756,0.964824] f_measure 0.9832312966001094 [0.99017,0.945274] f_measure 0.9831611222929993 [0.990187,0.944724] f_measure 0.9815913142116351 [0.989305,0.939394] f_measure 0.9908722178121211 [0.994633,0.970297] f_measure 0.9923333823696536 [0.99554,0.974619] f_measure 0.9908195875950048 [0.994643,0.969697] kappa 0.9395903124828382 kappa 0.9281202352428665 kappa 0.9582429501084598 kappa 0.9585843373493975 kappa 0.9354460093896712 kappa 0.934918244406196 kappa 0.9287103046014258 kappa 0.964930924548353 kappa 0.9701623638289973 kappa 0.9643423995382728 kb_relative_information_score 546.7950064629143 kb_relative_information_score 539.2414605076654 kb_relative_information_score 556.081192639565 kb_relative_information_score 567.4086071389403 kb_relative_information_score 563.20405968269 kb_relative_information_score 535.701891322128 kb_relative_information_score 531.3766349362367 kb_relative_information_score 564.162590776849 kb_relative_information_score 568.9441489512318 kb_relative_information_score 562.7642652583477 mean_absolute_error 0.04652915989602713 mean_absolute_error 0.05110829434734734 mean_absolute_error 0.04389634092021309 mean_absolute_error 0.041745148035796605 mean_absolute_error 0.04161922731426596 mean_absolute_error 0.05176411436254699 mean_absolute_error 0.051933052103704073 mean_absolute_error 0.040746998467476925 mean_absolute_error 0.04084202727917338 mean_absolute_error 0.041253745077256765 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 0.9849105494266783 [0.984127,0.989247] precision 0.9817744393791307 [0.982332,0.978723] precision 0.9895253419147225 [0.987611,1] precision 0.9893965751155693 [0.989343,0.989691] precision 0.9832063955058606 [0.987522,0.959596] precision 0.9832066799728991 [0.98579,0.969072] precision 0.9816791586073502 [0.984043,0.96875] precision 0.9908701298701299 [0.992857,0.98] precision 0.9924801289428786 [0.991119,1] precision 0.9908867224206526 [0.991103,0.989691] predictive_accuracy 0.9848484848484849 predictive_accuracy 0.9818181818181819 predictive_accuracy 0.9893939393939394 predictive_accuracy 0.9893939393939394 predictive_accuracy 0.9833333333333333 predictive_accuracy 0.9833333333333333 predictive_accuracy 0.9818181818181819 predictive_accuracy 0.990909090909091 predictive_accuracy 0.992412746585736 predictive_accuracy 0.9908952959028832 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 0.9848484848484849 [0.998211,0.910891] recall 0.9818181818181818 [0.996416,0.901961] recall 0.9893939393939394 [1,0.931373] recall 0.9893939393939394 [0.998208,0.941176] recall 0.9833333333333333 [0.992832,0.931373] recall 0.9833333333333333 [0.994624,0.921569] recall 0.9818181818181818 [0.994624,0.911765] recall 0.990909090909091 [0.996416,0.960784] recall 0.992412746585736 [1,0.950495] recall 0.9908952959028832 [0.998208,0.950495] relative_absolute_error 0.17891344307521057 relative_absolute_error 0.19573251654379484 relative_absolute_error 0.1681124636440467 relative_absolute_error 0.15987391054391187 relative_absolute_error 0.15939166436401206 relative_absolute_error 0.19824415000004772 relative_absolute_error 0.19889114105381228 relative_absolute_error 0.1560512369565971 relative_absolute_error 0.15694842974806764 relative_absolute_error 0.15853058583123225 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 0.1251874504124747 root_mean_squared_error 0.12880927999776304 root_mean_squared_error 0.11346700524974725 root_mean_squared_error 0.10961512341259627 root_mean_squared_error 0.1095526518132818 root_mean_squared_error 0.12897724254595752 root_mean_squared_error 0.12949960412158087 root_mean_squared_error 0.10803492522348498 root_mean_squared_error 0.09940903184985458 root_mean_squared_error 0.10270064992174345 root_relative_squared_error 0.3477248094646197 root_relative_squared_error 0.3563475278631482 root_relative_squared_error 0.3139035232204115 root_relative_squared_error 0.3032473921535074 root_relative_squared_error 0.30307456609642697 root_relative_squared_error 0.3568121918906448 root_relative_squared_error 0.35825729162357794 root_relative_squared_error 0.2988758149019816 root_relative_squared_error 0.2759509323389226 root_relative_squared_error 0.2850881813286653 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 22757.53225399967 usercpu_time_millis 22408.649818000413 usercpu_time_millis 22446.58403700032 usercpu_time_millis 21873.372789000314 usercpu_time_millis 22191.177869000057 usercpu_time_millis 22223.923474000912 usercpu_time_millis 22318.661138999232 usercpu_time_millis 21843.50162100054 usercpu_time_millis 22512.980694999897 usercpu_time_millis 22984.79731700081 usercpu_time_millis_testing 32.679928000106884 usercpu_time_millis_testing 36.83731700039061 usercpu_time_millis_testing 33.82633999990503 usercpu_time_millis_testing 32.67481500006397 usercpu_time_millis_testing 34.28385300048831 usercpu_time_millis_testing 33.23669700057508 usercpu_time_millis_testing 32.69675100000313 usercpu_time_millis_testing 34.862918000726495 usercpu_time_millis_testing 32.67660399978922 usercpu_time_millis_testing 32.849265000550076 usercpu_time_millis_training 22724.852325999564 usercpu_time_millis_training 22371.812501000022 usercpu_time_millis_training 22412.757697000416 usercpu_time_millis_training 21840.69797400025 usercpu_time_millis_training 22156.89401599957 usercpu_time_millis_training 22190.686777000337 usercpu_time_millis_training 22285.96438799923 usercpu_time_millis_training 21808.638702999815 usercpu_time_millis_training 22480.304091000107 usercpu_time_millis_training 22951.94805200026