6019763 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) 4054448 bootstrap true 6902 class_weight null 6902 criterion "gini" 6902 max_depth null 6902 max_features 0.14416395922447595 6902 max_leaf_nodes null 6902 min_impurity_split 1e-07 6902 min_samples_leaf 3 6902 min_samples_split 11 6902 min_weight_fraction_leaf 0.0 6902 n_estimators 100 6902 n_jobs 1 6902 oob_score false 6902 random_state 41630 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 12962649 description https://api.openml.org/data/download/12962649/description.xml -1 12962650 predictions https://api.openml.org/data/download/12962650/predictions.arff area_under_roc_curve 0.9997353712915202 [0.999735,0.999735] average_cost 0 f_measure 0.9925232148779847 [0.995623,0.975512] kappa 0.9711366930264788 kb_relative_information_score 5801.591356643358 mean_absolute_error 0.03756165307895784 mean_prior_absolute_error 0.26083092213436454 number_of_instances 6598 [5581,1017] precision 0.992569371316816 [0.992697,0.99187] predictive_accuracy 0.9925735071233707 prior_entropy 0.6203559250859288 recall 0.9925735071233707 [0.998567,0.959685] relative_absolute_error 0.14400766892051364 root_mean_prior_squared_error 0.36108063272361846 root_mean_squared_error 0.09212475050419934 root_relative_squared_error 0.25513622763233135 total_cost 0 area_under_roc_curve 0.9991675375050921 [0.999168,0.999168] area_under_roc_curve 0.9994377679387167 [0.999438,0.999438] area_under_roc_curve 0.9999472907442547 [0.999947,0.999947] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.9998243024808489 [0.999824,0.999824] area_under_roc_curve 0.9996134654578677 [0.999613,0.999613] area_under_roc_curve 0.9993674889310562 [0.999367,0.999367] area_under_roc_curve 0.9998770117365942 [0.999877,0.999877] area_under_roc_curve 0.9999467688704353 [0.999947,0.999947] area_under_roc_curve 0.9999290251605806 [0.999929,0.999929] 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 0.9908334683735754 [0.994652,0.969697] f_measure 0.9892843505500906 [0.993756,0.964824] f_measure 0.9938896103896104 [0.996429,0.98] f_measure 0.9954267172545752 [0.997319,0.985075] f_measure 0.9923778620909588 [0.995532,0.975124] f_measure 0.9877792207792205 [0.992857,0.96] f_measure 0.9893290069273423 [0.993744,0.965174] f_measure 0.9954453844244848 [0.997314,0.985222] f_measure 0.9954194360886108 [0.997319,0.984925] f_measure 0.9954194360886108 [0.997319,0.984925] kappa 0.96435194353924 kappa 0.9585843373493975 kappa 0.9764302549817868 kappa 0.9823943661971832 kappa 0.9706572769953052 kappa 0.9528605099635742 kappa 0.9589201877934271 kappa 0.9825359864521593 kappa 0.9822443755893844 kappa 0.9822443755893844 kb_relative_information_score 572.214249967792 kb_relative_information_score 567.2947698387776 kb_relative_information_score 592.9046648709477 kb_relative_information_score 590.4549559515442 kb_relative_information_score 588.1799574272686 kb_relative_information_score 568.3380154298397 kb_relative_information_score 563.4851803815131 kb_relative_information_score 590.9629217022849 kb_relative_information_score 590.0011724721231 kb_relative_information_score 577.7554686013873 mean_absolute_error 0.039378915237761415 mean_absolute_error 0.042253544817312305 mean_absolute_error 0.03450066110893642 mean_absolute_error 0.03495221769739796 mean_absolute_error 0.0348420702773994 mean_absolute_error 0.043025802378609514 mean_absolute_error 0.042795714612295435 mean_absolute_error 0.03352788564796862 mean_absolute_error 0.03378066364202172 mean_absolute_error 0.03655179651229769 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 0.9909004346443689 [0.991119,0.989691] precision 0.9893965751155693 [0.989343,0.989691] precision 0.9939825299255904 [0.992883,1] precision 0.995478852698104 [0.994652,1] precision 0.9924107384000432 [0.99287,0.989899] precision 0.9878198060201111 [0.989324,0.979592] precision 0.9893426241019825 [0.991087,0.979798] precision 0.995444964890049 [0.996422,0.990099] precision 0.9954719920800434 [0.994652,1] precision 0.9954719920800434 [0.994652,1] predictive_accuracy 0.990909090909091 predictive_accuracy 0.9893939393939394 predictive_accuracy 0.9939393939393939 predictive_accuracy 0.9954545454545455 predictive_accuracy 0.9924242424242425 predictive_accuracy 0.9878787878787878 predictive_accuracy 0.9893939393939394 predictive_accuracy 0.9954545454545455 predictive_accuracy 0.9954476479514416 predictive_accuracy 0.9954476479514416 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 0.990909090909091 [0.998211,0.950495] recall 0.9893939393939394 [0.998208,0.941176] recall 0.9939393939393939 [1,0.960784] recall 0.9954545454545455 [1,0.970588] recall 0.9924242424242424 [0.998208,0.960784] recall 0.9878787878787879 [0.996416,0.941176] recall 0.9893939393939394 [0.996416,0.95098] recall 0.9954545454545455 [0.998208,0.980392] recall 0.9954476479514416 [1,0.970297] recall 0.9954476479514416 [1,0.970297] relative_absolute_error 0.15141939647090724 relative_absolute_error 0.16182094835293234 relative_absolute_error 0.13212926213858772 relative_absolute_error 0.13385861563297008 relative_absolute_error 0.13343677741703197 relative_absolute_error 0.164778509700321 relative_absolute_error 0.16389732870804374 relative_absolute_error 0.12840376530018344 relative_absolute_error 0.1298129027294028 relative_absolute_error 0.1404618587579604 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 0.10169132072481982 root_mean_squared_error 0.10441208733307046 root_mean_squared_error 0.08559002368829209 root_mean_squared_error 0.08446423156253324 root_mean_squared_error 0.0869020322558837 root_mean_squared_error 0.10121302566769631 root_mean_squared_error 0.1041186121718162 root_mean_squared_error 0.08215230698966457 root_mean_squared_error 0.07875246063984843 root_mean_squared_error 0.08703049779102572 root_relative_squared_error 0.28246118126645614 root_relative_squared_error 0.2888533279653216 root_relative_squared_error 0.23678257771179878 root_relative_squared_error 0.23366810303335228 root_relative_squared_error 0.2404122153404282 root_relative_squared_error 0.2800032069495249 root_relative_squared_error 0.28804143655342945 root_relative_squared_error 0.22727222374451433 root_relative_squared_error 0.21861006523405016 root_relative_squared_error 0.24158918521234166 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 8385.291371999981 usercpu_time_millis 8317.314388999876 usercpu_time_millis 8253.631700000027 usercpu_time_millis 8306.939362999969 usercpu_time_millis 8423.18033399988 usercpu_time_millis 8163.623193999911 usercpu_time_millis 7975.693080999918 usercpu_time_millis 8478.73289100005 usercpu_time_millis 8276.112140999998 usercpu_time_millis 8214.666925000074 usercpu_time_millis_testing 39.50421899992307 usercpu_time_millis_testing 39.41922699993938 usercpu_time_millis_testing 39.90088700004435 usercpu_time_millis_testing 40.96169900003588 usercpu_time_millis_testing 40.49092599996129 usercpu_time_millis_testing 39.534878999916145 usercpu_time_millis_testing 39.88318699998672 usercpu_time_millis_testing 40.35289300009026 usercpu_time_millis_testing 40.09658899997248 usercpu_time_millis_testing 39.66091500001312 usercpu_time_millis_training 8345.78715300006 usercpu_time_millis_training 8277.895161999935 usercpu_time_millis_training 8213.730812999984 usercpu_time_millis_training 8265.977663999933 usercpu_time_millis_training 8382.689407999918 usercpu_time_millis_training 8124.0883149999945 usercpu_time_millis_training 7935.809893999931 usercpu_time_millis_training 8438.37999799996 usercpu_time_millis_training 8236.015552000026 usercpu_time_millis_training 8175.006010000061