6023320 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) 4058005 bootstrap true 6902 class_weight null 6902 criterion "gini" 6902 max_depth null 6902 max_features 0.4687052575337566 6902 max_leaf_nodes null 6902 min_impurity_split 1e-07 6902 min_samples_leaf 17 6902 min_samples_split 5 6902 min_weight_fraction_leaf 0.0 6902 n_estimators 100 6902 n_jobs 1 6902 oob_score false 6902 random_state 350 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 "most_frequent" 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 12969759 description https://api.openml.org/data/download/12969759/description.xml -1 12969760 predictions https://api.openml.org/data/download/12969760/predictions.arff area_under_roc_curve 0.997237255141364 [0.997237,0.997237] average_cost 0 f_measure 0.9810385547813432 [0.98906,0.93702] kappa 0.9261019097492549 kb_relative_information_score 5281.976083365127 mean_absolute_error 0.05643137983955737 mean_prior_absolute_error 0.26083092213436454 number_of_instances 6598 [5581,1017] precision 0.9813037123375578 [0.981985,0.977564] predictive_accuracy 0.9813579872688694 prior_entropy 0.6203559250859288 recall 0.9813579872688694 [0.996237,0.899705] relative_absolute_error 0.2163523380501921 root_mean_prior_squared_error 0.36108063272361846 root_mean_squared_error 0.1326358495777128 root_relative_squared_error 0.36733027904943355 total_cost 0 area_under_roc_curve 0.9972723569315787 [0.997272,0.997272] area_under_roc_curve 0.9955372830135638 [0.995537,0.995537] area_under_roc_curve 0.9979970482816782 [0.997997,0.997997] area_under_roc_curve 0.9980146180335934 [0.998015,0.998015] area_under_roc_curve 0.9980673272893386 [0.998067,0.998067] area_under_roc_curve 0.994518237402488 [0.994518,0.994518] area_under_roc_curve 0.9966441773842153 [0.996644,0.996644] area_under_roc_curve 0.9975929439876309 [0.997593,0.997593] area_under_roc_curve 0.9991660456368218 [0.999166,0.999166] area_under_roc_curve 0.9979772170765463 [0.997977,0.997977] 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 0.9814252901353966 [0.989362,0.9375] f_measure 0.9748973077895715 [0.985866,0.914894] f_measure 0.9832312966001094 [0.99017,0.945274] f_measure 0.9797461160887999 [0.988485,0.931937] f_measure 0.9832312966001094 [0.99017,0.945274] f_measure 0.9785231999135743 [0.987522,0.929293] f_measure 0.9785231999135743 [0.987522,0.929293] f_measure 0.9893290069273423 [0.993744,0.965174] f_measure 0.9813124164170152 [0.989362,0.936842] f_measure 0.9798920958903031 [0.988444,0.932642] kappa 0.9268954568110912 kappa 0.9008785762559133 kappa 0.9354460093896712 kappa 0.92048487544484 kappa 0.9354460093896712 kappa 0.9168286887016633 kappa 0.9168286887016633 kappa 0.9589201877934271 kappa 0.926253357206804 kappa 0.9211163595849102 kb_relative_information_score 519.5490570735259 kb_relative_information_score 513.9550197399197 kb_relative_information_score 533.6101696378257 kb_relative_information_score 539.6241186057563 kb_relative_information_score 539.9895124715645 kb_relative_information_score 518.6568089964214 kb_relative_information_score 506.5471950831745 kb_relative_information_score 536.7367344555219 kb_relative_information_score 544.5077838543398 kb_relative_information_score 528.7996834470921 mean_absolute_error 0.0585733796934367 mean_absolute_error 0.06246350907309935 mean_absolute_error 0.054787124115659475 mean_absolute_error 0.05217075794201182 mean_absolute_error 0.05267900326120076 mean_absolute_error 0.059698573455763265 mean_absolute_error 0.0628185213430982 mean_absolute_error 0.05359118213453664 mean_absolute_error 0.0515367339319219 mean_absolute_error 0.055986923896586376 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 0.9819445931923964 [0.980668,0.989011] precision 0.9764333227747861 [0.972125,1] precision 0.9832063955058606 [0.987522,0.959596] precision 0.9807514726954307 [0.977233,1] precision 0.9832063955058606 [0.987522,0.959596] precision 0.9785702772404901 [0.98227,0.958333] precision 0.9785702772404901 [0.98227,0.958333] precision 0.9893426241019825 [0.991087,0.979798] precision 0.9821739477677502 [0.978947,1] precision 0.9802412003045374 [0.9806,0.978261] predictive_accuracy 0.9818181818181819 predictive_accuracy 0.9757575757575758 predictive_accuracy 0.9833333333333333 predictive_accuracy 0.9803030303030303 predictive_accuracy 0.9833333333333333 predictive_accuracy 0.9787878787878788 predictive_accuracy 0.9787878787878788 predictive_accuracy 0.9893939393939394 predictive_accuracy 0.9817905918057663 predictive_accuracy 0.9802731411229135 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 0.9818181818181818 [0.998211,0.891089] recall 0.9757575757575757 [1,0.843137] recall 0.9833333333333333 [0.992832,0.931373] recall 0.9803030303030303 [1,0.872549] recall 0.9833333333333333 [0.992832,0.931373] recall 0.9787878787878788 [0.992832,0.901961] recall 0.9787878787878788 [0.992832,0.901961] recall 0.9893939393939394 [0.996416,0.95098] recall 0.9817905918057663 [1,0.881188] recall 0.9802731411229135 [0.996416,0.891089] relative_absolute_error 0.22522575212881016 relative_absolute_error 0.239220267065486 relative_absolute_error 0.2098215527302536 relative_absolute_error 0.1998014974357514 relative_absolute_error 0.2017479551803663 relative_absolute_error 0.22863122641418415 relative_absolute_error 0.24057987896210975 relative_absolute_error 0.20524138161331837 relative_absolute_error 0.19804622845163547 relative_absolute_error 0.2151474933389164 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 0.1402601384543671 root_mean_squared_error 0.14511671866804027 root_mean_squared_error 0.12791755518714026 root_mean_squared_error 0.12865689319921625 root_mean_squared_error 0.12631914139990869 root_mean_squared_error 0.14049492384400436 root_mean_squared_error 0.14018330406607324 root_mean_squared_error 0.12570297814641912 root_mean_squared_error 0.11907164929378314 root_mean_squared_error 0.13016627727725044 root_relative_squared_error 0.38959120709647377 root_relative_squared_error 0.4014616334309622 root_relative_squared_error 0.35388059433316355 root_relative_squared_error 0.3559259537425408 root_relative_squared_error 0.34945862410250755 root_relative_squared_error 0.38867555808092147 root_relative_squared_error 0.38781347005821887 root_relative_squared_error 0.3477540244638407 root_relative_squared_error 0.3305326691781954 root_relative_squared_error 0.3613304033379591 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 19809.117166000022 usercpu_time_millis 19112.81085500002 usercpu_time_millis 20159.48091499996 usercpu_time_millis 20781.941144000026 usercpu_time_millis 19826.620655 usercpu_time_millis 19591.190415000026 usercpu_time_millis 19047.20804899995 usercpu_time_millis 19875.832134999993 usercpu_time_millis 19130.971067000017 usercpu_time_millis 19106.69254700002 usercpu_time_millis_testing 32.112759000028746 usercpu_time_millis_testing 31.918474000008246 usercpu_time_millis_testing 32.76519100000996 usercpu_time_millis_testing 32.14885900001718 usercpu_time_millis_testing 32.46696100001145 usercpu_time_millis_testing 33.10041400004593 usercpu_time_millis_testing 37.05764699998326 usercpu_time_millis_testing 31.364677999988544 usercpu_time_millis_testing 32.7375520000146 usercpu_time_millis_testing 32.81575599999087 usercpu_time_millis_training 19777.004406999993 usercpu_time_millis_training 19080.892381000012 usercpu_time_millis_training 20126.71572399995 usercpu_time_millis_training 20749.79228500001 usercpu_time_millis_training 19794.153693999986 usercpu_time_millis_training 19558.090000999982 usercpu_time_millis_training 19010.150401999967 usercpu_time_millis_training 19844.467457000006 usercpu_time_millis_training 19098.233515000004 usercpu_time_millis_training 19073.87679100003