5968540 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) 4003273 bootstrap false 6902 class_weight null 6902 criterion "gini" 6902 max_depth null 6902 max_features 0.4979116169446586 6902 max_leaf_nodes null 6902 min_impurity_split 1e-07 6902 min_samples_leaf 18 6902 min_samples_split 20 6902 min_weight_fraction_leaf 0.0 6902 n_estimators 100 6902 n_jobs 1 6902 oob_score false 6902 random_state 64371 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 "mean" 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 12860456 description https://api.openml.org/data/download/12860456/description.xml -1 12860455 predictions https://api.openml.org/data/download/12860455/predictions.arff area_under_roc_curve 0.9978294103272498 [0.997829,0.997829] average_cost 0 f_measure 0.9869809429478078 [0.99242,0.957136] kappa 0.9495610662479236 kb_relative_information_score 5628.253871640257 mean_absolute_error 0.03990303090850054 mean_prior_absolute_error 0.26083092213436454 number_of_instances 6598 [5581,1017] precision 0.9870746061711888 [0.987926,0.982402] predictive_accuracy 0.9871173082752349 prior_entropy 0.6203559250859288 recall 0.9871173082752349 [0.996954,0.933137] relative_absolute_error 0.15298428032219613 root_mean_prior_squared_error 0.36108063272361846 root_mean_squared_error 0.11324821767165416 root_relative_squared_error 0.3136369204225296 total_cost 0 area_under_roc_curve 0.9981579553304167 [0.998158,0.998158] area_under_roc_curve 0.9957832595403754 [0.995783,0.995783] area_under_roc_curve 0.9987174081101974 [0.998717,0.998717] area_under_roc_curve 0.9983484433199802 [0.998348,0.998348] area_under_roc_curve 0.9983835828238105 [0.998384,0.998384] area_under_roc_curve 0.9951156089676014 [0.995116,0.995116] area_under_roc_curve 0.9966441773842153 [0.996644,0.996644] area_under_roc_curve 0.9982430248084897 [0.998243,0.998243] area_under_roc_curve 0.9994499449944996 [0.99945,0.99945] area_under_roc_curve 0.9989176336988537 [0.998918,0.998918] 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 0.987725611111478 [0.992883,0.959184] f_measure 0.9814303145719893 [0.989343,0.938144] f_measure 0.9877275428077567 [0.99287,0.959596] f_measure 0.9892843505500906 [0.993756,0.964824] f_measure 0.9862801517637259 [0.991957,0.955224] f_measure 0.9831611222929993 [0.990187,0.944724] f_measure 0.9786136363636363 [0.9875,0.93] f_measure 0.9908722178121211 [0.994633,0.970297] f_measure 0.9923333823696536 [0.99554,0.974619] f_measure 0.9923333823696536 [0.99554,0.974619] kappa 0.9520740673504585 kappa 0.9275203162749835 kappa 0.9524735364009507 kappa 0.9585843373493975 kappa 0.9471830985915491 kappa 0.934918244406196 kappa 0.9175058924362545 kappa 0.964930924548353 kappa 0.9701623638289973 kappa 0.9701623638289973 kb_relative_information_score 555.2073015048708 kb_relative_information_score 546.3198444576684 kb_relative_information_score 567.3225159342397 kb_relative_information_score 578.5513597989433 kb_relative_information_score 570.4446951979885 kb_relative_information_score 543.9163513581557 kb_relative_information_score 542.1333840913109 kb_relative_information_score 579.6827999740472 kb_relative_information_score 576.7948295814774 kb_relative_information_score 567.8807897416943 mean_absolute_error 0.041880132250013254 mean_absolute_error 0.04594222559358508 mean_absolute_error 0.038781239990255685 mean_absolute_error 0.035374729753329504 mean_absolute_error 0.03728270492677875 mean_absolute_error 0.04777559509569387 mean_absolute_error 0.0466076274745996 mean_absolute_error 0.033223332191584645 mean_absolute_error 0.03567864871776591 mean_absolute_error 0.036472474699884155 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 0.9878957248309834 [0.987611,0.989474] precision 0.981946918666147 [0.980634,0.98913] precision 0.9878969213410702 [0.987589,0.989583] precision 0.9893965751155693 [0.989343,0.989691] precision 0.9862745098039215 [0.989305,0.969697] precision 0.9832066799728991 [0.98579,0.969072] precision 0.9785757201618921 [0.983986,0.94898] precision 0.9908701298701299 [0.992857,0.98] precision 0.9924801289428786 [0.991119,1] precision 0.9924801289428786 [0.991119,1] predictive_accuracy 0.9878787878787878 predictive_accuracy 0.9818181818181819 predictive_accuracy 0.9878787878787878 predictive_accuracy 0.9893939393939394 predictive_accuracy 0.9863636363636364 predictive_accuracy 0.9833333333333333 predictive_accuracy 0.9787878787878788 predictive_accuracy 0.990909090909091 predictive_accuracy 0.992412746585736 predictive_accuracy 0.992412746585736 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 0.9878787878787879 [0.998211,0.930693] recall 0.9818181818181818 [0.998208,0.892157] recall 0.9878787878787879 [0.998208,0.931373] recall 0.9893939393939394 [0.998208,0.941176] recall 0.9863636363636363 [0.994624,0.941176] recall 0.9833333333333333 [0.994624,0.921569] recall 0.9787878787878788 [0.991039,0.911765] recall 0.990909090909091 [0.996416,0.960784] recall 0.992412746585736 [1,0.950495] recall 0.992412746585736 [1,0.950495] relative_absolute_error 0.16103705018613104 relative_absolute_error 0.17594771153856514 relative_absolute_error 0.1485228531868542 relative_absolute_error 0.13547673552982137 relative_absolute_error 0.14278382309694318 relative_absolute_error 0.18296907726764902 relative_absolute_error 0.17849604124408788 relative_absolute_error 0.12723739856458058 relative_absolute_error 0.13710651171916072 relative_absolute_error 0.14015703956233191 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 0.12010948495784692 root_mean_squared_error 0.12873475210087304 root_mean_squared_error 0.10912163854135312 root_mean_squared_error 0.10491667511850881 root_mean_squared_error 0.10779603527463051 root_mean_squared_error 0.13017083788522454 root_mean_squared_error 0.12720710159835139 root_mean_squared_error 0.09949076176394196 root_mean_squared_error 0.09742774550137269 root_mean_squared_error 0.10095507222440765 root_relative_squared_error 0.3336200843954492 root_relative_squared_error 0.35614134837193406 root_relative_squared_error 0.30188217907329745 root_relative_squared_error 0.2902492569693035 root_relative_squared_error 0.29821493206258426 root_relative_squared_error 0.3601142423983735 root_relative_squared_error 0.3519151429306651 root_relative_squared_error 0.275238608587967 root_relative_squared_error 0.2704510516447847 root_relative_squared_error 0.28024260760074304 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 26156.329778000003 usercpu_time_millis 26372.377316 usercpu_time_millis 26486.017077999997 usercpu_time_millis 26425.34253000001 usercpu_time_millis 27430.425598999987 usercpu_time_millis 27222.173684999972 usercpu_time_millis 27735.078946000016 usercpu_time_millis 27162.606133999987 usercpu_time_millis 26802.43493500001 usercpu_time_millis 27556.746320000002 usercpu_time_millis_testing 33.836271000005524 usercpu_time_millis_testing 36.02096000000188 usercpu_time_millis_testing 30.03643899999986 usercpu_time_millis_testing 35.74947699999598 usercpu_time_millis_testing 32.23604199999386 usercpu_time_millis_testing 32.1788019999758 usercpu_time_millis_testing 29.631158000000823 usercpu_time_millis_testing 31.291149999987056 usercpu_time_millis_testing 35.325800999999046 usercpu_time_millis_testing 34.08829299996796 usercpu_time_millis_training 26122.493507 usercpu_time_millis_training 26336.356355999997 usercpu_time_millis_training 26455.980638999998 usercpu_time_millis_training 26389.59305300001 usercpu_time_millis_training 27398.189556999994 usercpu_time_millis_training 27189.994882999996 usercpu_time_millis_training 27705.447788000016 usercpu_time_millis_training 27131.314984 usercpu_time_millis_training 26767.10913400001 usercpu_time_millis_training 27522.658027000034