6024529 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) 4059214 bootstrap false 6902 class_weight null 6902 criterion "entropy" 6902 max_depth null 6902 max_features 0.40470004280585214 6902 max_leaf_nodes null 6902 min_impurity_split 1e-07 6902 min_samples_leaf 18 6902 min_samples_split 9 6902 min_weight_fraction_leaf 0.0 6902 n_estimators 100 6902 n_jobs 1 6902 oob_score false 6902 random_state 52259 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 true 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 12972173 description https://api.openml.org/data/download/12972173/description.xml -1 12972174 predictions https://api.openml.org/data/download/12972174/predictions.arff area_under_roc_curve 0.9991722865030374 [0.999172,0.999172] average_cost 0 f_measure 0.98977664075153 [0.994015,0.966517] kappa 0.9605338455668182 kb_relative_information_score 5636.791062000423 mean_absolute_error 0.04121093885981179 mean_prior_absolute_error 0.26083092213436454 number_of_instances 6598 [5581,1017] precision 0.9898035444279639 [0.991094,0.982724] predictive_accuracy 0.9898454076993027 prior_entropy 0.6203559250859288 recall 0.9898454076993028 [0.996954,0.950836] relative_absolute_error 0.1579986702595882 root_mean_prior_squared_error 0.36108063272361846 root_mean_squared_error 0.10574777910667564 root_relative_squared_error 0.2928647219570429 total_cost 0 area_under_roc_curve 0.9994863529286738 [0.999486,0.999486] area_under_roc_curve 0.998629559350622 [0.99863,0.99863] area_under_roc_curve 0.9998594419846792 [0.999859,0.999859] area_under_roc_curve 0.9996310352097828 [0.999631,0.999631] area_under_roc_curve 0.9994026284348865 [0.999403,0.999403] area_under_roc_curve 0.9985944198467919 [0.998594,0.998594] area_under_roc_curve 0.9979443390259329 [0.997944,0.997944] area_under_roc_curve 0.998998524140839 [0.998999,0.998999] area_under_roc_curve 0.9995386635437737 [0.999539,0.999539] area_under_roc_curve 0.999503176124064 [0.999503,0.999503] 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 0.9939145021645022 [0.996429,0.98] f_measure 0.9862227364215449 [0.991971,0.954774] f_measure 0.9954267172545752 [0.997319,0.985075] f_measure 0.9908344155844157 [0.994643,0.97] f_measure 0.992408974040808 [0.995524,0.975369] f_measure 0.9831611222929993 [0.990187,0.944724] f_measure 0.9817444356242423 [0.989267,0.940594] f_measure 0.9924393226810376 [0.995516,0.97561] f_measure 0.9876532948365425 [0.992883,0.958763] f_measure 0.9938797250633367 [0.996429,0.979798] kappa 0.9764289923394224 kappa 0.9467512908777967 kappa 0.9823943661971832 kappa 0.9646453824726807 kappa 0.9708933107535986 kappa 0.934918244406196 kappa 0.9298618490967057 kappa 0.9711255774884503 kappa 0.951659636897121 kappa 0.9762282663588486 kb_relative_information_score 560.0389077305712 kb_relative_information_score 550.8987446343222 kb_relative_information_score 579.275234783397 kb_relative_information_score 586.0101931438661 kb_relative_information_score 574.3444189024186 kb_relative_information_score 556.7990863366252 kb_relative_information_score 541.0479058811677 kb_relative_information_score 570.2163948890825 kb_relative_information_score 555.9218983398129 kb_relative_information_score 562.238277359251 mean_absolute_error 0.041725054218724314 mean_absolute_error 0.04644146390112464 mean_absolute_error 0.03681392883533689 mean_absolute_error 0.03485405655960623 mean_absolute_error 0.03804349439461004 mean_absolute_error 0.045117989064795944 mean_absolute_error 0.04760668452137457 mean_absolute_error 0.03807597424315514 mean_absolute_error 0.0429965895462822 mean_absolute_error 0.040435684216201626 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 0.9939249896469147 [0.994652,0.989899] precision 0.9863016275442343 [0.987567,0.979381] precision 0.995478852698104 [0.994652,1] precision 0.9909011679728508 [0.991103,0.989796] precision 0.9924023708274227 [0.994633,0.980198] precision 0.9832066799728991 [0.98579,0.969072] precision 0.9817045454545454 [0.9875,0.95] precision 0.9924629326504838 [0.996409,0.970874] precision 0.9880319790666874 [0.985866,1] precision 0.993973398711517 [0.992883,1] predictive_accuracy 0.9939393939393939 predictive_accuracy 0.9863636363636364 predictive_accuracy 0.9954545454545455 predictive_accuracy 0.990909090909091 predictive_accuracy 0.9924242424242425 predictive_accuracy 0.9833333333333333 predictive_accuracy 0.9818181818181819 predictive_accuracy 0.9924242424242425 predictive_accuracy 0.9878603945371774 predictive_accuracy 0.9939301972685888 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 0.9939393939393939 [0.998211,0.970297] recall 0.9863636363636363 [0.996416,0.931373] recall 0.9954545454545455 [1,0.970588] recall 0.990909090909091 [0.998208,0.95098] recall 0.9924242424242424 [0.996416,0.970588] recall 0.9833333333333333 [0.994624,0.921569] recall 0.9818181818181818 [0.991039,0.931373] recall 0.9924242424242424 [0.994624,0.980392] recall 0.9878603945371776 [1,0.920792] recall 0.9939301972685888 [1,0.960396] relative_absolute_error 0.1604407457485433 relative_absolute_error 0.17785967458756982 relative_absolute_error 0.14098852303371104 relative_absolute_error 0.13348268200473754 relative_absolute_error 0.1456974643952927 relative_absolute_error 0.1727910832051918 relative_absolute_error 0.1823221902563612 relative_absolute_error 0.1458218544297064 relative_absolute_error 0.16522801788667116 relative_absolute_error 0.15538692778743998 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 0.1052919401445834 root_mean_squared_error 0.1165958805645863 root_mean_squared_error 0.09269809303094143 root_mean_squared_error 0.0940521316270459 root_mean_squared_error 0.10008287430103288 root_mean_squared_error 0.11352329109150992 root_mean_squared_error 0.12223516057520012 root_mean_squared_error 0.0996127503442811 root_mean_squared_error 0.10754315677184147 root_mean_squared_error 0.10184185372784904 root_relative_squared_error 0.2924623810477973 root_relative_squared_error 0.32255947552023245 root_relative_squared_error 0.2564468669476125 root_relative_squared_error 0.26019277955857883 root_relative_squared_error 0.2768766725443278 root_relative_squared_error 0.31405923653987233 root_relative_squared_error 0.33816039721426877 root_relative_squared_error 0.27557608682736207 root_relative_squared_error 0.2985305643322588 root_relative_squared_error 0.28270423687226803 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 30902.239142 usercpu_time_millis 31226.913690999994 usercpu_time_millis 31049.501257000004 usercpu_time_millis 30622.50227300001 usercpu_time_millis 30873.811794999994 usercpu_time_millis 30430.36884999998 usercpu_time_millis 30694.126661000042 usercpu_time_millis 30505.45050099998 usercpu_time_millis 30896.277063999947 usercpu_time_millis 31109.274852 usercpu_time_millis_testing 93.84889000000385 usercpu_time_millis_testing 98.57678999999564 usercpu_time_millis_testing 91.8242090000092 usercpu_time_millis_testing 96.75395100001083 usercpu_time_millis_testing 93.44167699998707 usercpu_time_millis_testing 96.10872599998288 usercpu_time_millis_testing 94.8389520000319 usercpu_time_millis_testing 95.47014399998943 usercpu_time_millis_testing 94.98964799996656 usercpu_time_millis_testing 94.14527699999553 usercpu_time_millis_training 30808.390251999994 usercpu_time_millis_training 31128.336901 usercpu_time_millis_training 30957.677047999994 usercpu_time_millis_training 30525.748322 usercpu_time_millis_training 30780.370118000006 usercpu_time_millis_training 30334.260123999997 usercpu_time_millis_training 30599.28770900001 usercpu_time_millis_training 30409.980356999993 usercpu_time_millis_training 30801.28741599998 usercpu_time_millis_training 31015.129575000003