5999983 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) 4034715 bootstrap true 6902 class_weight null 6902 criterion "entropy" 6902 max_depth null 6902 max_features 0.3673742022322273 6902 max_leaf_nodes null 6902 min_impurity_split 1e-07 6902 min_samples_leaf 5 6902 min_samples_split 13 6902 min_weight_fraction_leaf 0.0 6902 n_estimators 100 6902 n_jobs 1 6902 oob_score false 6902 random_state 10743 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 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 12923083 description https://api.openml.org/data/download/12923083/description.xml -1 12923084 predictions https://api.openml.org/data/download/12923084/predictions.arff area_under_roc_curve 0.9996178564123218 [0.999618,0.999618] average_cost 0 f_measure 0.9925355976055692 [0.99562,0.97561] kappa 0.9712304721252316 kb_relative_information_score 5887.885530166432 mean_absolute_error 0.03248430609070368 mean_prior_absolute_error 0.26083092213436454 number_of_instances 6598 [5581,1017] precision 0.9925526799680151 [0.9934,0.987903] predictive_accuracy 0.9925735071233707 prior_entropy 0.6203559250859288 recall 0.9925735071233707 [0.99785,0.963618] relative_absolute_error 0.12454162192460333 root_mean_prior_squared_error 0.36108063272361846 root_mean_squared_error 0.08915413453669398 root_relative_squared_error 0.246909212117547 total_cost 0 area_under_roc_curve 0.9995926247365344 [0.999593,0.999593] area_under_roc_curve 0.9988931056293485 [0.998893,0.998893] area_under_roc_curve 0.9999824302480849 [0.999982,0.999982] area_under_roc_curve 0.9999648604961698 [0.999965,0.999965] area_under_roc_curve 0.9997715932251037 [0.999772,0.999772] area_under_roc_curve 0.999156651908075 [0.999157,0.999157] area_under_roc_curve 0.9990512333965844 [0.999051,0.999051] area_under_roc_curve 0.9994553376906318 [0.999455,0.999455] area_under_roc_curve 0.9999645125802903 [0.999965,0.999965] 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 0.9954452693878888 [0.997319,0.985075] f_measure 0.9862227364215449 [0.991971,0.954774] f_measure 0.9954267172545752 [0.997319,0.985075] f_measure 0.9969574059373737 [0.998211,0.990099] f_measure 0.992408974040808 [0.995524,0.975369] f_measure 0.9892843505500906 [0.993756,0.964824] f_measure 0.9847870296868685 [0.991055,0.950495] f_measure 0.9939393939393939 [0.996416,0.980392] f_measure 0.9954194360886108 [0.997319,0.984925] f_measure 0.9954194360886108 [0.997319,0.984925] kappa 0.9823937399964433 kappa 0.9467512908777967 kappa 0.9823943661971832 kappa 0.9883103081827842 kappa 0.9708933107535986 kappa 0.9585843373493975 kappa 0.9415515409139215 kappa 0.9768079274720639 kappa 0.9822443755893844 kappa 0.9822443755893844 kb_relative_information_score 588.9721123494978 kb_relative_information_score 575.9751102549483 kb_relative_information_score 596.121436480967 kb_relative_information_score 606.3372759594338 kb_relative_information_score 596.9789289787067 kb_relative_information_score 576.7406765760553 kb_relative_information_score 568.8498010850979 kb_relative_information_score 593.286175472359 kb_relative_information_score 594.2008353797532 kb_relative_information_score 590.423177629763 mean_absolute_error 0.03216948652270309 mean_absolute_error 0.03677062101368154 mean_absolute_error 0.03085515743407198 mean_absolute_error 0.02719242256085067 mean_absolute_error 0.029788295392326074 mean_absolute_error 0.03819348026361936 mean_absolute_error 0.03826688237480686 mean_absolute_error 0.029932870287591548 mean_absolute_error 0.031239506489194206 mean_absolute_error 0.03042933892157015 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 0.9863016275442343 [0.987567,0.979381] precision 0.995478852698104 [0.994652,1] precision 0.9969805194805195 [0.996429,1] precision 0.9924023708274227 [0.994633,0.980198] precision 0.9893965751155693 [0.989343,0.989691] precision 0.9847597402597402 [0.989286,0.96] precision 0.9939393939393939 [0.996416,0.980392] precision 0.9954719920800434 [0.994652,1] precision 0.9954719920800434 [0.994652,1] predictive_accuracy 0.9954545454545455 predictive_accuracy 0.9863636363636364 predictive_accuracy 0.9954545454545455 predictive_accuracy 0.9969696969696971 predictive_accuracy 0.9924242424242425 predictive_accuracy 0.9893939393939394 predictive_accuracy 0.9848484848484849 predictive_accuracy 0.9939393939393939 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 0.9954545454545455 [0.998211,0.980198] recall 0.9863636363636363 [0.996416,0.931373] recall 0.9954545454545455 [1,0.970588] recall 0.996969696969697 [1,0.980392] recall 0.9924242424242424 [0.996416,0.970588] recall 0.9893939393939394 [0.998208,0.941176] recall 0.9848484848484849 [0.992832,0.941176] recall 0.9939393939393939 [0.996416,0.980392] recall 0.9954476479514416 [1,0.970297] recall 0.9954476479514416 [1,0.970297] relative_absolute_error 0.12369777594522674 relative_absolute_error 0.14082266445778163 relative_absolute_error 0.11816785690167234 relative_absolute_error 0.10414046030541839 relative_absolute_error 0.11408203101171449 relative_absolute_error 0.1462718743215501 relative_absolute_error 0.14655298681269904 relative_absolute_error 0.1146357182055591 relative_absolute_error 0.12004770125805651 relative_absolute_error 0.11693437569509536 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 0.08795522964007979 root_mean_squared_error 0.10348622778406247 root_mean_squared_error 0.08272592153229577 root_mean_squared_error 0.07532077935154582 root_mean_squared_error 0.08466633336376952 root_mean_squared_error 0.10114321648021977 root_mean_squared_error 0.10400910674361488 root_mean_squared_error 0.08578822240287926 root_mean_squared_error 0.08076145655684751 root_mean_squared_error 0.08012200487190503 root_relative_squared_error 0.24430735962145575 root_relative_squared_error 0.28629196156809295 root_relative_squared_error 0.2288591134796059 root_relative_squared_error 0.20837297995233833 root_relative_squared_error 0.2342272124177731 root_relative_squared_error 0.2798100816453556 root_relative_squared_error 0.28773849263022916 root_relative_squared_error 0.23733088930837024 root_relative_squared_error 0.2241868653099056 root_relative_squared_error 0.22241180236681113 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 15667.45301500032 usercpu_time_millis 16210.206235999976 usercpu_time_millis 15314.652000000024 usercpu_time_millis 15708.783451998897 usercpu_time_millis 16076.510149000569 usercpu_time_millis 15480.441728999722 usercpu_time_millis 15602.611849999448 usercpu_time_millis 15751.976714000193 usercpu_time_millis 15282.138229000338 usercpu_time_millis 15797.070771999643 usercpu_time_millis_testing 29.792850000376347 usercpu_time_millis_testing 29.378688000178954 usercpu_time_millis_testing 31.02173600018432 usercpu_time_millis_testing 29.342019999603508 usercpu_time_millis_testing 29.00641700034612 usercpu_time_millis_testing 29.522855000323034 usercpu_time_millis_testing 29.393439999694237 usercpu_time_millis_testing 29.478168000423466 usercpu_time_millis_testing 30.862581000292266 usercpu_time_millis_testing 34.37228399980086 usercpu_time_millis_training 15637.660164999943 usercpu_time_millis_training 16180.827547999797 usercpu_time_millis_training 15283.63026399984 usercpu_time_millis_training 15679.441431999294 usercpu_time_millis_training 16047.503732000223 usercpu_time_millis_training 15450.918873999399 usercpu_time_millis_training 15573.218409999754 usercpu_time_millis_training 15722.49854599977 usercpu_time_millis_training 15251.275648000046 usercpu_time_millis_training 15762.698487999842