6030267 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) 4064951 bootstrap false 6902 class_weight null 6902 criterion "entropy" 6902 max_depth null 6902 max_features 0.7438505118904808 6902 max_leaf_nodes null 6902 min_impurity_split 1e-07 6902 min_samples_leaf 16 6902 min_samples_split 14 6902 min_weight_fraction_leaf 0.0 6902 n_estimators 100 6902 n_jobs 1 6902 oob_score false 6902 random_state 35791 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 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 12983615 description https://api.openml.org/data/download/12983615/description.xml -1 12983616 predictions https://api.openml.org/data/download/12983616/predictions.arff area_under_roc_curve 0.9986044447404341 [0.998604,0.998604] average_cost 0 f_measure 0.9890159878294951 [0.993568,0.964036] kappa 0.957605884002311 kb_relative_information_score 5807.699850500373 mean_absolute_error 0.030839520742853083 mean_prior_absolute_error 0.26083092213436454 number_of_instances 6598 [5581,1017] precision 0.9890340570575834 [0.990736,0.979695] predictive_accuracy 0.9890876023037284 prior_entropy 0.6203559250859288 recall 0.9890876023037284 [0.996416,0.948869] relative_absolute_error 0.11823567731346822 root_mean_prior_squared_error 0.36108063272361846 root_mean_squared_error 0.101827647094361 root_relative_squared_error 0.2820080554481104 total_cost 0 area_under_roc_curve 0.9989372819213942 [0.998937,0.998937] area_under_roc_curve 0.9953967249982432 [0.995397,0.995397] area_under_roc_curve 0.9998594419846792 [0.999859,0.999859] area_under_roc_curve 0.9992269309157353 [0.999227,0.999227] area_under_roc_curve 0.9991215124042448 [0.999122,0.999122] area_under_roc_curve 0.9984538618314709 [0.998454,0.998454] area_under_roc_curve 0.9972591187012441 [0.997259,0.997259] area_under_roc_curve 0.9987701173659427 [0.99877,0.99877] area_under_roc_curve 0.9992015330565315 [0.999202,0.999202] area_under_roc_curve 0.9992370204762412 [0.999237,0.999237] 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 0.9863911194538181 [0.991943,0.955665] f_measure 0.9830153846153846 [0.990222,0.94359] f_measure 0.9969574059373737 [0.998211,0.990099] f_measure 0.992345964678636 [0.99554,0.974874] f_measure 0.9893725636571312 [0.993733,0.965517] f_measure 0.9862227364215449 [0.991971,0.954774] f_measure 0.9801824414364928 [0.988382,0.935323] f_measure 0.9939393939393939 [0.996416,0.980392] f_measure 0.9923333823696536 [0.99554,0.974619] f_measure 0.9893120175400919 [0.993744,0.964824] kappa 0.9476079593564775 kappa 0.9338363954505685 kappa 0.9883103081827842 kappa 0.9704173838209983 kappa 0.959250635055038 kappa 0.9467512908777967 kappa 0.9237089201877936 kappa 0.9768079274720639 kappa 0.9701623638289973 kappa 0.9585702097085635 kb_relative_information_score 575.5371783906753 kb_relative_information_score 561.7120528845614 kb_relative_information_score 596.0877717176938 kb_relative_information_score 604.6463213135689 kb_relative_information_score 584.2884859603207 kb_relative_information_score 573.3764130987312 kb_relative_information_score 559.8988099920048 kb_relative_information_score 594.945967450237 kb_relative_information_score 577.9063661306033 kb_relative_information_score 579.300483562141 mean_absolute_error 0.03239439387270867 mean_absolute_error 0.03812422633813912 mean_absolute_error 0.027643758427029385 mean_absolute_error 0.02476612932404503 mean_absolute_error 0.028703886967415507 mean_absolute_error 0.035123454640112385 mean_absolute_error 0.036243539094931124 mean_absolute_error 0.024908473889489222 mean_absolute_error 0.030948032583961168 mean_absolute_error 0.029537503949861686 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 0.9864270471955481 [0.992832,0.95098] precision 0.983427206007851 [0.982363,0.989247] precision 0.9969805194805195 [0.996429,1] precision 0.9924915226869045 [0.991119,1] precision 0.9893597767647961 [0.992844,0.970297] precision 0.9863016275442343 [0.987567,0.979381] precision 0.9801382812077999 [0.98574,0.949495] precision 0.9939393939393939 [0.996416,0.980392] precision 0.9924801289428786 [0.991119,1] precision 0.989325513623852 [0.991087,0.979592] predictive_accuracy 0.9863636363636364 predictive_accuracy 0.9833333333333333 predictive_accuracy 0.9969696969696971 predictive_accuracy 0.9924242424242425 predictive_accuracy 0.9893939393939394 predictive_accuracy 0.9863636363636364 predictive_accuracy 0.9803030303030303 predictive_accuracy 0.9939393939393939 predictive_accuracy 0.992412746585736 predictive_accuracy 0.9893778452200302 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 0.9863636363636363 [0.991055,0.960396] recall 0.9833333333333333 [0.998208,0.901961] recall 0.996969696969697 [1,0.980392] recall 0.9924242424242424 [1,0.95098] recall 0.9893939393939394 [0.994624,0.960784] recall 0.9863636363636363 [0.996416,0.931373] recall 0.9803030303030303 [0.991039,0.921569] recall 0.9939393939393939 [0.996416,0.980392] recall 0.992412746585736 [1,0.950495] recall 0.9893778452200304 [0.996416,0.950495] relative_absolute_error 0.12456258735493918 relative_absolute_error 0.14600664838732777 relative_absolute_error 0.10586896848636532 relative_absolute_error 0.09484833879798626 relative_absolute_error 0.109929006680155 relative_absolute_error 0.134514412077574 relative_absolute_error 0.13880406705203385 relative_absolute_error 0.09539348436323192 relative_absolute_error 0.11892762042988983 relative_absolute_error 0.11350721725735953 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 0.10325420084100732 root_mean_squared_error 0.12041854175796958 root_mean_squared_error 0.08203817008196598 root_mean_squared_error 0.08881775726578733 root_mean_squared_error 0.09699634853887107 root_mean_squared_error 0.11264185486821326 root_mean_squared_error 0.1206569294367835 root_mean_squared_error 0.08901029319181865 root_mean_squared_error 0.09870201952967443 root_mean_squared_error 0.09790891844493452 root_relative_squared_error 0.28680228885213466 root_relative_squared_error 0.33313476843503004 root_relative_squared_error 0.22695646695356697 root_relative_squared_error 0.24571201882785257 root_relative_squared_error 0.2683378791821463 root_relative_squared_error 0.31162076611952494 root_relative_squared_error 0.3337942617574044 root_relative_squared_error 0.24624466446695006 root_relative_squared_error 0.27398832687643815 root_relative_squared_error 0.27178674639928846 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 55659.37063399906 usercpu_time_millis 56196.749218997866 usercpu_time_millis 55464.86502600237 usercpu_time_millis 56125.79222899876 usercpu_time_millis 55837.27822400033 usercpu_time_millis 56109.32290600249 usercpu_time_millis 57074.57593900108 usercpu_time_millis 55950.56005600418 usercpu_time_millis 55730.2502670027 usercpu_time_millis 56165.91588900337 usercpu_time_millis_testing 93.02404499976547 usercpu_time_millis_testing 94.14005299913697 usercpu_time_millis_testing 93.69666100246832 usercpu_time_millis_testing 92.52829600154655 usercpu_time_millis_testing 96.61581999898772 usercpu_time_millis_testing 93.83534200242138 usercpu_time_millis_testing 92.73086800021701 usercpu_time_millis_testing 91.09934500156669 usercpu_time_millis_testing 91.99367300243466 usercpu_time_millis_testing 92.64463400177192 usercpu_time_millis_training 55566.346588999295 usercpu_time_millis_training 56102.60916599873 usercpu_time_millis_training 55371.1683649999 usercpu_time_millis_training 56033.263932997215 usercpu_time_millis_training 55740.66240400134 usercpu_time_millis_training 56015.48756400007 usercpu_time_millis_training 56981.84507100086 usercpu_time_millis_training 55859.46071100261 usercpu_time_millis_training 55638.25659400027 usercpu_time_millis_training 56073.2712550016