5968633 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) 4003366 bootstrap true 6902 class_weight null 6902 criterion "entropy" 6902 max_depth null 6902 max_features 0.33594864984655637 6902 max_leaf_nodes null 6902 min_impurity_split 1e-07 6902 min_samples_leaf 17 6902 min_samples_split 15 6902 min_weight_fraction_leaf 0.0 6902 n_estimators 100 6902 n_jobs 1 6902 oob_score false 6902 random_state 8896 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 12860641 description https://api.openml.org/data/download/12860641/description.xml -1 12860642 predictions https://api.openml.org/data/download/12860642/predictions.arff area_under_roc_curve 0.9975411729323944 [0.997541,0.997541] average_cost 0 f_measure 0.9821526657038221 [0.989674,0.940877] kappa 0.9305671901651307 kb_relative_information_score 5141.278114215237 mean_absolute_error 0.06138317317763977 mean_prior_absolute_error 0.26083092213436454 number_of_instances 6598 [5581,1017] precision 0.982346324632788 [0.983372,0.97672] predictive_accuracy 0.9824189148226735 prior_entropy 0.6203559250859288 recall 0.9824189148226735 [0.996058,0.907571] relative_absolute_error 0.23533702474900126 root_mean_prior_squared_error 0.36108063272361846 root_mean_squared_error 0.13665314501015444 root_relative_squared_error 0.3784560362027301 total_cost 0 area_under_roc_curve 0.9985653305938823 [0.998565,0.998565] area_under_roc_curve 0.9949750509522806 [0.994975,0.994975] area_under_roc_curve 0.9991039426523297 [0.999104,0.999104] area_under_roc_curve 0.9977862112586969 [0.997786,0.997786] area_under_roc_curve 0.9988755358774334 [0.998876,0.998876] area_under_roc_curve 0.9971361304378382 [0.997136,0.997136] area_under_roc_curve 0.9961170848267622 [0.996117,0.996117] area_under_roc_curve 0.9973293977089043 [0.997329,0.997329] area_under_roc_curve 0.9981723978849497 [0.998172,0.998172] area_under_roc_curve 0.9969303381951097 [0.99693,0.99693] 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 0.9830112806555376 [0.99024,0.943005] f_measure 0.9767359728097345 [0.98669,0.92228] f_measure 0.9892385622432497 [0.993767,0.964467] f_measure 0.9845931902363015 [0.991103,0.94898] f_measure 0.9831611222929993 [0.990187,0.944724] f_measure 0.9768391608391608 [0.986667,0.923077] f_measure 0.9740847311092601 [0.984808,0.915423] f_measure 0.9815913142116351 [0.989305,0.939394] f_measure 0.9892202967179625 [0.993767,0.964103] f_measure 0.9830604662710839 [0.990205,0.94359] kappa 0.933269605500202 kappa 0.9090207322452581 kappa 0.9582429501084598 kappa 0.9401001960357221 kappa 0.934918244406196 kappa 0.9097769028871392 kappa 0.9002347417840375 kappa 0.9287103046014258 kappa 0.9578786855008812 kappa 0.9338093629299562 kb_relative_information_score 518.7738455820174 kb_relative_information_score 491.0837543633988 kb_relative_information_score 525.1584602099102 kb_relative_information_score 530.431053249885 kb_relative_information_score 531.4007286403626 kb_relative_information_score 496.5018740292669 kb_relative_information_score 493.1203228675432 kb_relative_information_score 523.1512448381766 kb_relative_information_score 518.3056677383319 kb_relative_information_score 513.3511626963639 mean_absolute_error 0.06045267888067632 mean_absolute_error 0.06814836788434002 mean_absolute_error 0.05867414461593738 mean_absolute_error 0.05626589808634337 mean_absolute_error 0.05742660075371966 mean_absolute_error 0.06802348865061329 mean_absolute_error 0.06730358963996887 mean_absolute_error 0.05870215012879815 mean_absolute_error 0.058680454382161316 mean_absolute_error 0.06014839284607293 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 0.9834251888140438 [0.982394,0.98913] precision 0.9772872119093561 [0.977153,0.978022] precision 0.9895253419147225 [0.987611,1] precision 0.9849122759054343 [0.984099,0.989362] precision 0.9832066799728991 [0.98579,0.969072] precision 0.9771214448633804 [0.978836,0.967742] precision 0.9740020526116782 [0.982175,0.929293] precision 0.9816791586073502 [0.984043,0.96875] precision 0.9895094471376583 [0.987611,1] precision 0.9832512416609499 [0.984071,0.978723] predictive_accuracy 0.9833333333333333 predictive_accuracy 0.9772727272727273 predictive_accuracy 0.9893939393939394 predictive_accuracy 0.9848484848484849 predictive_accuracy 0.9833333333333333 predictive_accuracy 0.9772727272727273 predictive_accuracy 0.9742424242424242 predictive_accuracy 0.9818181818181819 predictive_accuracy 0.9893778452200302 predictive_accuracy 0.9833080424886191 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 0.9833333333333333 [0.998211,0.90099] recall 0.9772727272727273 [0.996416,0.872549] recall 0.9893939393939394 [1,0.931373] recall 0.9848484848484849 [0.998208,0.911765] recall 0.9833333333333333 [0.994624,0.921569] recall 0.9772727272727273 [0.994624,0.882353] recall 0.9742424242424242 [0.987455,0.901961] recall 0.9818181818181818 [0.994624,0.911765] recall 0.9893778452200304 [1,0.930693] recall 0.9833080424886191 [0.996416,0.910891] relative_absolute_error 0.23245201387324788 relative_absolute_error 0.26099191363537505 relative_absolute_error 0.2247079095162183 relative_absolute_error 0.21548490257155858 relative_absolute_error 0.21993011556381034 relative_absolute_error 0.26051365610411653 relative_absolute_error 0.25775661545523143 relative_absolute_error 0.22481516391747225 relative_absolute_error 0.2254982376175949 relative_absolute_error 0.23113925625026213 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 0.13407833777083922 root_mean_squared_error 0.15350432246677656 root_mean_squared_error 0.1296091851651953 root_mean_squared_error 0.13117881085083233 root_mean_squared_error 0.127230654938413 root_mean_squared_error 0.14332371511552464 root_mean_squared_error 0.14675795149313914 root_mean_squared_error 0.13416982247800088 root_mean_squared_error 0.128721134436574 root_mean_squared_error 0.13547047495260167 root_relative_squared_error 0.3724204327277533 root_relative_squared_error 0.42466572150929893 root_relative_squared_error 0.3585604447348549 root_relative_squared_error 0.3629027734300931 root_relative_squared_error 0.3519803026342519 root_relative_squared_error 0.3965013356682553 root_relative_squared_error 0.4060020614178432 root_relative_squared_error 0.37117732941837245 root_relative_squared_error 0.357318810962229 root_relative_squared_error 0.37605440040931026 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 10190.776302000075 usercpu_time_millis 9787.559929999928 usercpu_time_millis 10336.232848999998 usercpu_time_millis 10065.595916999997 usercpu_time_millis 10119.159695000006 usercpu_time_millis 9990.69160600004 usercpu_time_millis 10023.923147999994 usercpu_time_millis 10171.512079999957 usercpu_time_millis 9713.733941999977 usercpu_time_millis 10283.357506000015 usercpu_time_millis_testing 28.04157800005669 usercpu_time_millis_testing 28.441573000009157 usercpu_time_millis_testing 28.267486000004283 usercpu_time_millis_testing 29.482189999953334 usercpu_time_millis_testing 28.000769999948716 usercpu_time_millis_testing 30.824843000004876 usercpu_time_millis_testing 32.91776499997923 usercpu_time_millis_testing 28.302769999982047 usercpu_time_millis_testing 28.155652999998892 usercpu_time_millis_testing 28.42350200000965 usercpu_time_millis_training 10162.734724000018 usercpu_time_millis_training 9759.11835699992 usercpu_time_millis_training 10307.965362999994 usercpu_time_millis_training 10036.113727000044 usercpu_time_millis_training 10091.158925000058 usercpu_time_millis_training 9959.866763000036 usercpu_time_millis_training 9991.005383000014 usercpu_time_millis_training 10143.209309999975 usercpu_time_millis_training 9685.578288999977 usercpu_time_millis_training 10254.934004000006