6033783 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) 4068467 bootstrap false 6902 class_weight null 6902 criterion "entropy" 6902 max_depth null 6902 max_features 0.8852866623802064 6902 max_leaf_nodes null 6902 min_impurity_split 1e-07 6902 min_samples_leaf 11 6902 min_samples_split 18 6902 min_weight_fraction_leaf 0.0 6902 n_estimators 100 6902 n_jobs 1 6902 oob_score false 6902 random_state 14488 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 12990621 description https://api.openml.org/data/download/12990621/description.xml -1 12990622 predictions https://api.openml.org/data/download/12990622/predictions.arff area_under_roc_curve 0.9989210477957856 [0.998921,0.998921] average_cost 0 f_measure 0.9873614274056902 [0.992579,0.958727] kappa 0.9513074940013954 kb_relative_information_score 5974.430655879493 mean_absolute_error 0.0229884351481978 mean_prior_absolute_error 0.26083092213436454 number_of_instances 6598 [5581,1017] precision 0.9873481900890838 [0.990542,0.969819] predictive_accuracy 0.9874204304334647 prior_entropy 0.6203559250859288 recall 0.9874204304334647 [0.994625,0.947886] relative_absolute_error 0.08813539039039062 root_mean_prior_squared_error 0.36108063272361846 root_mean_squared_error 0.09670339578730466 root_relative_squared_error 0.2678166232785026 total_cost 0 area_under_roc_curve 0.9986716024017428 [0.998672,0.998672] area_under_roc_curve 0.9988931056293485 [0.998893,0.998893] area_under_roc_curve 0.9990160938927544 [0.999016,0.999016] area_under_roc_curve 0.9995783259540376 [0.999578,0.999578] area_under_roc_curve 0.9990863729004147 [0.999086,0.999086] area_under_roc_curve 0.9985944198467919 [0.998594,0.998594] area_under_roc_curve 0.9975578044838006 [0.997558,0.997558] area_under_roc_curve 0.9992093611638204 [0.999209,0.999209] area_under_roc_curve 0.9995564072536286 [0.999556,0.999556] area_under_roc_curve 0.9987934277298698 [0.998793,0.998793] 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 0.9849683849352673 [0.991023,0.951456] f_measure 0.9877275428077567 [0.99287,0.959596] f_measure 0.9908344155844157 [0.994643,0.97] f_measure 0.9907956571058175 [0.994652,0.969697] f_measure 0.9819603058811692 [0.989209,0.942308] f_measure 0.9830153846153846 [0.990222,0.94359] f_measure 0.9847870296868685 [0.991055,0.950495] f_measure 0.992408974040808 [0.995524,0.975369] f_measure 0.9939052774165877 [0.996422,0.98] f_measure 0.9832739919866963 [0.990152,0.945274] kappa 0.942483660130719 kappa 0.9524735364009507 kappa 0.9646453824726807 kappa 0.9643551523007131 kappa 0.9315210624610915 kappa 0.9338363954505685 kappa 0.9415515409139215 kappa 0.9708933107535986 kappa 0.9764226042467935 kappa 0.9354261128283702 kb_relative_information_score 589.2455779012139 kb_relative_information_score 590.1969875130353 kb_relative_information_score 601.5278784563792 kb_relative_information_score 616.7462916356012 kb_relative_information_score 598.132350640414 kb_relative_information_score 594.533538620856 kb_relative_information_score 575.1586516267885 kb_relative_information_score 610.9883454904956 kb_relative_information_score 608.1615708737808 kb_relative_information_score 589.7394631212159 mean_absolute_error 0.02449211476348369 mean_absolute_error 0.026720444451276894 mean_absolute_error 0.02260902624226876 mean_absolute_error 0.01750480771964389 mean_absolute_error 0.02254711040104548 mean_absolute_error 0.02567767388914484 mean_absolute_error 0.02896962202750133 mean_absolute_error 0.018307563449115716 mean_absolute_error 0.019049972927941868 mean_absolute_error 0.02400158331653754 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 0.9852197652197653 [0.994595,0.933333] precision 0.9878969213410702 [0.987589,0.989583] precision 0.9909011679728508 [0.991103,0.989796] precision 0.9910058027079305 [0.989362,1] precision 0.9822318271606467 [0.99278,0.924528] precision 0.983427206007851 [0.982363,0.989247] precision 0.9847597402597402 [0.989286,0.96] precision 0.9924023708274227 [0.994633,0.980198] precision 0.9939158000994116 [0.994643,0.989899] precision 0.9832484574394447 [0.989267,0.95] predictive_accuracy 0.9848484848484849 predictive_accuracy 0.9878787878787878 predictive_accuracy 0.990909090909091 predictive_accuracy 0.990909090909091 predictive_accuracy 0.9818181818181819 predictive_accuracy 0.9833333333333333 predictive_accuracy 0.9848484848484849 predictive_accuracy 0.9924242424242425 predictive_accuracy 0.9939301972685888 predictive_accuracy 0.9833080424886191 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 0.9848484848484849 [0.987478,0.970297] recall 0.9878787878787879 [0.998208,0.931373] recall 0.990909090909091 [0.998208,0.95098] recall 0.990909090909091 [1,0.941176] recall 0.9818181818181818 [0.985663,0.960784] recall 0.9833333333333333 [0.998208,0.901961] recall 0.9848484848484849 [0.992832,0.941176] recall 0.9924242424242424 [0.996416,0.970588] recall 0.9939301972685888 [0.998208,0.970297] recall 0.9833080424886191 [0.991039,0.940594] relative_absolute_error 0.0941768256792063 relative_absolute_error 0.10233289728027406 relative_absolute_error 0.0865871510586549 relative_absolute_error 0.06703921761300137 relative_absolute_error 0.08635002822817665 relative_absolute_error 0.09833933598243966 relative_absolute_error 0.11094670826281824 relative_absolute_error 0.07011357963399935 relative_absolute_error 0.07320555655444408 relative_absolute_error 0.09223368828507933 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 0.10089770673040716 root_mean_squared_error 0.10262518773550408 root_mean_squared_error 0.09449459949338403 root_mean_squared_error 0.08643309939698872 root_mean_squared_error 0.09729967909507864 root_mean_squared_error 0.10316954280248511 root_mean_squared_error 0.11416636742480266 root_mean_squared_error 0.08227729812868201 root_mean_squared_error 0.08109501471051413 root_mean_squared_error 0.09954307616538192 root_relative_squared_error 0.2802568127448004 root_relative_squared_error 0.2839099166354586 root_relative_squared_error 0.26141685541965975 root_relative_squared_error 0.23911492476474977 root_relative_squared_error 0.2691770352882265 root_relative_squared_error 0.2854158607910493 root_relative_squared_error 0.3158382905148666 root_relative_squared_error 0.22761800848451474 root_relative_squared_error 0.22511279408901871 root_relative_squared_error 0.2763230278432866 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 71042.29720100557 usercpu_time_millis 70157.6180589982 usercpu_time_millis 71047.25157399662 usercpu_time_millis 68304.67439199856 usercpu_time_millis 71611.66032600886 usercpu_time_millis 70392.99520899658 usercpu_time_millis 68249.58351499663 usercpu_time_millis 72292.55018200638 usercpu_time_millis 73024.98397300224 usercpu_time_millis 71162.68911700172 usercpu_time_millis_testing 87.1125280027627 usercpu_time_millis_testing 87.02408200042555 usercpu_time_millis_testing 86.72750199912116 usercpu_time_millis_testing 86.86245999706443 usercpu_time_millis_testing 86.56079900538316 usercpu_time_millis_testing 86.65427799860481 usercpu_time_millis_testing 86.91275599994697 usercpu_time_millis_testing 86.68484200461535 usercpu_time_millis_testing 88.40081399830524 usercpu_time_millis_testing 86.4958279998973 usercpu_time_millis_training 70955.1846730028 usercpu_time_millis_training 70070.59397699777 usercpu_time_millis_training 70960.5240719975 usercpu_time_millis_training 68217.8119320015 usercpu_time_millis_training 71525.09952700348 usercpu_time_millis_training 70306.34093099798 usercpu_time_millis_training 68162.67075899668 usercpu_time_millis_training 72205.86534000176 usercpu_time_millis_training 72936.58315900393 usercpu_time_millis_training 71076.19328900182