6064537 1 Jan van Rijn 3950 Supervised Classification predictive_accuracy 6952 sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.svm.classes.SVC)(1) 4099071 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 true 6948 threshold 0.0 6949 C 16.646656170503107 6953 cache_size 200 6953 class_weight null 6953 coef0 0.0 6953 decision_function_shape null 6953 degree 3 6953 gamma 3.5215846116950925e-05 6953 kernel "rbf" 6953 max_iter -1 6953 probability true 6953 random_state 3961 6953 shrinking false 6953 tol 0.001837916875080418 6953 verbose false 6953 openml-pimp openml-python Sklearn_0.18.1. 1116 musk https://www.openml.org/data/download/53999/musk.arff -1 13052461 description https://api.openml.org/data/download/13052461/description.xml -1 13052462 predictions https://api.openml.org/data/download/13052462/predictions.arff area_under_roc_curve 0.9604792351913192 [0.960479,0.960479] average_cost 0 f_measure 0.9209914188405617 [0.958612,0.714542] kappa 0.6753750533005497 kb_relative_information_score 3808.126452444242 mean_absolute_error 0.11293573913256424 mean_prior_absolute_error 0.26083092213436454 number_of_instances 6598 [5581,1017] precision 0.9267977841267568 [0.929341,0.912844] predictive_accuracy 0.9277053652622007 prior_entropy 0.6203559250859288 recall 0.9277053652622007 [0.989787,0.587021] relative_absolute_error 0.43298447211863356 root_mean_prior_squared_error 0.36108063272361846 root_mean_squared_error 0.23793076208772734 root_relative_squared_error 0.6589408030362195 total_cost 0 area_under_roc_curve 0.955897199737863 [0.955897,0.955897] area_under_roc_curve 0.9473785930142665 [0.947379,0.947379] area_under_roc_curve 0.9644212523719164 [0.964421,0.964421] area_under_roc_curve 0.9641752758451052 [0.964175,0.964175] area_under_roc_curve 0.9768782064797246 [0.976878,0.976878] area_under_roc_curve 0.9636657530395671 [0.963666,0.963666] area_under_roc_curve 0.9747874060018272 [0.974787,0.974787] area_under_roc_curve 0.9710274790919953 [0.971027,0.971027] area_under_roc_curve 0.9493949394939494 [0.949395,0.949395] area_under_roc_curve 0.9572021718300863 [0.957202,0.957202] 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 0.9219441164895712 [0.959307,0.715152] f_measure 0.9215741833923653 [0.959307,0.715152] f_measure 0.9152625391849529 [0.956897,0.6875] f_measure 0.9182369146005509 [0.957576,0.70303] f_measure 0.9206168831168832 [0.958333,0.714286] f_measure 0.9217901099283915 [0.95698,0.729282] f_measure 0.9230092297777335 [0.960208,0.719512] f_measure 0.93641334450583 [0.965998,0.774566] f_measure 0.9175714819806658 [0.956522,0.702381] f_measure 0.9127160863320471 [0.955017,0.679012] kappa 0.6767807277122496 kappa 0.6770364817591207 kappa 0.6480675710263627 kappa 0.6632933533233385 kappa 0.6747967479674796 kappa 0.6870645610775662 kappa 0.6824002008536278 kappa 0.7418151179585941 kappa 0.6609314865504538 kappa 0.6371299080858993 kb_relative_information_score 389.8747579309921 kb_relative_information_score 369.79888281486143 kb_relative_information_score 363.8112579501987 kb_relative_information_score 385.322595154076 kb_relative_information_score 387.9134322080349 kb_relative_information_score 380.18395884695315 kb_relative_information_score 383.2127076869794 kb_relative_information_score 410.2045008981733 kb_relative_information_score 372.8283320560225 kb_relative_information_score 364.9760268979663 mean_absolute_error 0.10864697081768676 mean_absolute_error 0.11839384817144372 mean_absolute_error 0.11926901809745383 mean_absolute_error 0.11390701293882584 mean_absolute_error 0.11085331314956559 mean_absolute_error 0.11320611888458466 mean_absolute_error 0.11229414851070113 mean_absolute_error 0.10328411005885231 mean_absolute_error 0.1132587094238606 mean_absolute_error 0.11624965170125087 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 0.9283587235611146 [0.92953,0.921875] precision 0.9292922041665759 [0.927973,0.936508] precision 0.9259990210270885 [0.921927,0.948276] precision 0.9254229299455431 [0.926298,0.920635] precision 0.9261707988980716 [0.929293,0.909091] precision 0.9221823014563597 [0.938038,0.835443] precision 0.9317284398630822 [0.928094,0.951613] precision 0.9410539793786644 [0.940577,0.943662] precision 0.921627406175455 [0.929054,0.880597] precision 0.9197913457472153 [0.923077,0.901639] predictive_accuracy 0.9287878787878787 predictive_accuracy 0.9287878787878787 predictive_accuracy 0.9242424242424242 predictive_accuracy 0.9257575757575758 predictive_accuracy 0.9272727272727274 predictive_accuracy 0.9257575757575758 predictive_accuracy 0.9303030303030303 predictive_accuracy 0.9409090909090909 predictive_accuracy 0.9241274658573596 predictive_accuracy 0.921092564491654 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 0.9287878787878788 [0.991055,0.584158] recall 0.9287878787878788 [0.992832,0.578431] recall 0.9242424242424242 [0.994624,0.539216] recall 0.9257575757575758 [0.991039,0.568627] recall 0.9272727272727272 [0.989247,0.588235] recall 0.9257575757575758 [0.976703,0.647059] recall 0.9303030303030303 [0.994624,0.578431] recall 0.9409090909090909 [0.992832,0.656863] recall 0.9241274658573596 [0.985663,0.584158] recall 0.921092564491654 [0.989247,0.544554] relative_absolute_error 0.41776820540325305 relative_absolute_error 0.453420059147472 relative_absolute_error 0.4567717501833185 relative_absolute_error 0.4362365557139782 relative_absolute_error 0.4245416175018172 relative_absolute_error 0.43355229949257434 relative_absolute_error 0.4300596715625468 relative_absolute_error 0.3955533840243429 relative_absolute_error 0.43523247457483616 relative_absolute_error 0.4467261178921669 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 0.23643923318974408 root_mean_squared_error 0.24050770562675888 root_mean_squared_error 0.24618283434119517 root_mean_squared_error 0.2343620218538626 root_mean_squared_error 0.23242872635447015 root_mean_squared_error 0.2464134667812347 root_mean_squared_error 0.2321476635499889 root_mean_squared_error 0.22001991177665214 root_mean_squared_error 0.2417847921156124 root_mean_squared_error 0.24766414960958832 root_relative_squared_error 0.656741446846112 root_relative_squared_error 0.6653583214937749 root_relative_squared_error 0.6810584176959249 root_relative_squared_error 0.6483564469429796 root_relative_squared_error 0.6430080351527 root_relative_squared_error 0.6816964563516379 root_relative_squared_error 0.6422304822034645 root_relative_squared_error 0.6086793718871772 root_relative_squared_error 0.6711738115551662 root_relative_squared_error 0.6874944028719286 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 61385.76339099999 usercpu_time_millis 62850.09311199997 usercpu_time_millis 61556.330333000034 usercpu_time_millis 62393.849916 usercpu_time_millis 62957.34866499998 usercpu_time_millis 63758.45759600003 usercpu_time_millis 70131.87413699996 usercpu_time_millis 69367.52175900011 usercpu_time_millis 69392.13250399995 usercpu_time_millis 68814.21101300008 usercpu_time_millis_testing 2072.6665789999997 usercpu_time_millis_testing 2109.5713239999723 usercpu_time_millis_testing 2047.6457470000184 usercpu_time_millis_testing 2075.9978339999916 usercpu_time_millis_testing 2129.4186989999844 usercpu_time_millis_testing 2297.510970000019 usercpu_time_millis_testing 2278.395004999993 usercpu_time_millis_testing 2260.3058570000485 usercpu_time_millis_testing 2275.982333999991 usercpu_time_millis_testing 2226.6991600000665 usercpu_time_millis_training 59313.096811999996 usercpu_time_millis_training 60740.521788 usercpu_time_millis_training 59508.68458600002 usercpu_time_millis_training 60317.852082000005 usercpu_time_millis_training 60827.929965999996 usercpu_time_millis_training 61460.94662600001 usercpu_time_millis_training 67853.47913199996 usercpu_time_millis_training 67107.21590200007 usercpu_time_millis_training 67116.15016999996 usercpu_time_millis_training 66587.51185300002