6030345 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) 4065029 bootstrap true 6902 class_weight null 6902 criterion "entropy" 6902 max_depth null 6902 max_features 0.5152644131375071 6902 max_leaf_nodes null 6902 min_impurity_split 1e-07 6902 min_samples_leaf 5 6902 min_samples_split 8 6902 min_weight_fraction_leaf 0.0 6902 n_estimators 100 6902 n_jobs 1 6902 oob_score false 6902 random_state 37147 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 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 12983771 description https://api.openml.org/data/download/12983771/description.xml -1 12983772 predictions https://api.openml.org/data/download/12983772/predictions.arff area_under_roc_curve 0.9997239193167857 [0.999724,0.999724] average_cost 0 f_measure 0.993454998739056 [0.996155,0.978639] kappa 0.9747942192146168 kb_relative_information_score 6004.846696900623 mean_absolute_error 0.027178842188789794 mean_prior_absolute_error 0.26083092213436454 number_of_instances 6598 [5581,1017] precision 0.993465903220266 [0.994288,0.988956] predictive_accuracy 0.9934828735980601 prior_entropy 0.6203559250859288 recall 0.99348287359806 [0.998029,0.968535] relative_absolute_error 0.10420099720687594 root_mean_prior_squared_error 0.36108063272361846 root_mean_squared_error 0.08128803739209324 root_relative_squared_error 0.22512433519056518 total_cost 0 area_under_roc_curve 0.9997166085123718 [0.999717,0.999717] area_under_roc_curve 0.9996837444655281 [0.999684,0.999684] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.9999824302480849 [0.999982,0.999982] area_under_roc_curve 0.9997540234731886 [0.999754,0.999754] area_under_roc_curve 0.9991215124042448 [0.999122,0.999122] area_under_roc_curve 0.9991039426523297 [0.999104,0.999104] area_under_roc_curve 0.9997715932251037 [0.999772,0.999772] area_under_roc_curve 0.9997870754817418 [0.999787,0.999787] area_under_roc_curve 0.9999112814507258 [0.999911,0.999911] 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 0.9954452693878888 [0.997319,0.985075] f_measure 0.992345964678636 [0.99554,0.974874] f_measure 0.9969574059373737 [0.998211,0.990099] f_measure 0.9969574059373737 [0.998211,0.990099] f_measure 0.990909090909091 [0.994624,0.970588] f_measure 0.9908344155844157 [0.994643,0.97] f_measure 0.9862801517637259 [0.991957,0.955224] f_measure 0.9939393939393939 [0.996416,0.980392] f_measure 0.9969526387082939 [0.998211,0.99] f_measure 0.9939052774165877 [0.996422,0.98] kappa 0.9823937399964433 kappa 0.9704173838209983 kappa 0.9883103081827842 kappa 0.9883103081827842 kappa 0.9652118912080964 kappa 0.9646453824726807 kappa 0.9471830985915491 kappa 0.9768079274720639 kappa 0.9882113021233967 kappa 0.9764226042467935 kb_relative_information_score 602.4064068965628 kb_relative_information_score 593.381594007383 kb_relative_information_score 614.1514494503746 kb_relative_information_score 614.4927438972226 kb_relative_information_score 604.2697637309975 kb_relative_information_score 587.349204139913 kb_relative_information_score 580.6512678082604 kb_relative_information_score 608.0485850564303 kb_relative_information_score 600.7860622388056 kb_relative_information_score 599.3096196748547 mean_absolute_error 0.02611379313307473 mean_absolute_error 0.030756523944693682 mean_absolute_error 0.023939701402629056 mean_absolute_error 0.023184730104512715 mean_absolute_error 0.025738974339397192 mean_absolute_error 0.03336456969237238 mean_absolute_error 0.03297941089900362 mean_absolute_error 0.02339438311451935 mean_absolute_error 0.02644407441765616 mean_absolute_error 0.025869163193424655 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 0.9954448051948053 [0.996429,0.99] precision 0.9924915226869045 [0.991119,1] precision 0.9969805194805195 [0.996429,1] precision 0.9969805194805195 [0.996429,1] precision 0.990909090909091 [0.994624,0.970588] precision 0.9909011679728508 [0.991103,0.989796] precision 0.9862745098039215 [0.989305,0.969697] precision 0.9939393939393939 [0.996416,0.980392] precision 0.9969759375677434 [0.996429,1] precision 0.9939158000994116 [0.994643,0.989899] predictive_accuracy 0.9954545454545455 predictive_accuracy 0.9924242424242425 predictive_accuracy 0.9969696969696971 predictive_accuracy 0.9969696969696971 predictive_accuracy 0.990909090909091 predictive_accuracy 0.990909090909091 predictive_accuracy 0.9863636363636364 predictive_accuracy 0.9939393939393939 predictive_accuracy 0.9969650986342944 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 0.9954545454545455 [0.998211,0.980198] recall 0.9924242424242424 [1,0.95098] recall 0.996969696969697 [1,0.980392] recall 0.996969696969697 [1,0.980392] recall 0.990909090909091 [0.994624,0.970588] recall 0.990909090909091 [0.998208,0.95098] recall 0.9863636363636363 [0.994624,0.941176] recall 0.9939393939393939 [0.996416,0.980392] recall 0.9969650986342944 [1,0.980198] recall 0.9939301972685888 [0.998208,0.970297] relative_absolute_error 0.10041248652742421 relative_absolute_error 0.11779011428008722 relative_absolute_error 0.09168331795613534 relative_absolute_error 0.08879195885316193 relative_absolute_error 0.09857410201301027 relative_absolute_error 0.12777830433755857 relative_absolute_error 0.1263032384826373 relative_absolute_error 0.08959487962705212 relative_absolute_error 0.10161973419249383 relative_absolute_error 0.09941045566498825 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 0.078378781815847 root_mean_squared_error 0.09121004357159271 root_mean_squared_error 0.06710633971445731 root_mean_squared_error 0.0682060034895937 root_mean_squared_error 0.0788086176626702 root_mean_squared_error 0.09738671650058724 root_mean_squared_error 0.09988563526733753 root_mean_squared_error 0.07426477950501773 root_mean_squared_error 0.07624643375376446 root_mean_squared_error 0.07386331433138336 root_relative_squared_error 0.2177075008971391 root_relative_squared_error 0.25233021676381967 root_relative_squared_error 0.1856479460300279 root_relative_squared_error 0.18869013730504558 root_relative_squared_error 0.21802199405890835 root_relative_squared_error 0.26941782201015485 root_relative_squared_error 0.2763310158800201 root_relative_squared_error 0.20545158380183826 root_relative_squared_error 0.21165354988717738 root_relative_squared_error 0.20503821510075354 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 34590.40235499924 usercpu_time_millis 34323.29308499902 usercpu_time_millis 34287.284961003024 usercpu_time_millis 34352.866778001044 usercpu_time_millis 33752.48067299981 usercpu_time_millis 33642.47229700413 usercpu_time_millis 34246.76181999894 usercpu_time_millis 33803.8101419952 usercpu_time_millis 34464.320861003216 usercpu_time_millis 35451.29657399957 usercpu_time_millis_testing 89.02407799905632 usercpu_time_millis_testing 89.99473799849511 usercpu_time_millis_testing 91.94332000333816 usercpu_time_millis_testing 89.22100199924898 usercpu_time_millis_testing 88.98881799905212 usercpu_time_millis_testing 88.79970000270987 usercpu_time_millis_testing 89.31849399959901 usercpu_time_millis_testing 88.53384199755965 usercpu_time_millis_testing 89.53888300311519 usercpu_time_millis_testing 88.97499500017148 usercpu_time_millis_training 34501.378277000185 usercpu_time_millis_training 34233.29834700053 usercpu_time_millis_training 34195.341640999686 usercpu_time_millis_training 34263.645776001795 usercpu_time_millis_training 33663.49185500076 usercpu_time_millis_training 33553.67259700142 usercpu_time_millis_training 34157.44332599934 usercpu_time_millis_training 33715.27629999764 usercpu_time_millis_training 34374.7819780001 usercpu_time_millis_training 35362.3215789994