6041713 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) 4076393 axis 0 6947 categorical_features [0] 6947 copy true 6947 fill_empty 0 6947 missing_values "NaN" 6947 strategy "mean" 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 922.5515261568601 6953 cache_size 200 6953 class_weight null 6953 coef0 -0.9715110766061275 6953 decision_function_shape null 6953 degree 5 6953 gamma 0.0001824709264099409 6953 kernel "poly" 6953 max_iter -1 6953 probability true 6953 random_state 10450 6953 shrinking true 6953 tol 0.0015793515062219135 6953 verbose false 6953 openml-pimp openml-python Sklearn_0.18.1. 1116 musk https://www.openml.org/data/download/53999/musk.arff -1 13006453 description https://api.openml.org/data/download/13006453/description.xml -1 13006454 predictions https://api.openml.org/data/download/13006454/predictions.arff area_under_roc_curve 0.9999166648607783 [0.999917,0.999917] average_cost 0 f_measure 0.9975750227341619 [0.998567,0.992134] kappa 0.9907002917786979 kb_relative_information_score 6418.96553564603 mean_absolute_error 0.008356098768532296 mean_prior_absolute_error 0.26083092213436454 number_of_instances 6598 [5581,1017] precision 0.9975750227341619 [0.998567,0.992134] predictive_accuracy 0.997575022734162 prior_entropy 0.6203559250859288 recall 0.9975750227341619 [0.998567,0.992134] relative_absolute_error 0.032036457564750445 root_mean_prior_squared_error 0.36108063272361846 root_mean_squared_error 0.046470165681825215 root_relative_squared_error 0.12869747494154532 total_cost 0 area_under_roc_curve 0.9999468640960696 [0.999947,0.999947] area_under_roc_curve 0.9999121512404247 [0.999912,0.999912] area_under_roc_curve 0.9999297209923396 [0.99993,0.99993] area_under_roc_curve 0.9995431864502072 [0.999543,0.999543] area_under_roc_curve 0.9999472907442547 [0.999947,0.999947] area_under_roc_curve 0.9999824302480849 [0.999982,0.999982] area_under_roc_curve 0.9998770117365942 [0.999877,0.999877] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.9999467688704353 [0.999947,0.999947] area_under_roc_curve 1 [1,1] 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 0.9984879021615353 [0.999105,0.995074] f_measure 0.9969574059373737 [0.998211,0.990099] f_measure 0.9954635936086225 [0.997309,0.985366] f_measure 0.9939393939393939 [0.996416,0.980392] f_measure 0.9984817948081617 [0.999105,0.995074] f_measure 0.9984878645362075 [0.999103,0.995122] f_measure 0.9984817948081617 [0.999105,0.995074] f_measure 0.9984817948081617 [0.999105,0.995074] f_measure 0.9984856064092471 [0.999103,0.995074] f_measure 0.9984856064092471 [0.999103,0.995074] kappa 0.9941786621507199 kappa 0.9883103081827842 kappa 0.9826753464930702 kappa 0.9768079274720639 kappa 0.9941786621507199 kappa 0.9942251154976902 kappa 0.9941786621507199 kappa 0.9941786621507199 kappa 0.9941770563650341 kappa 0.9941770563650341 kb_relative_information_score 646.0120901522776 kb_relative_information_score 632.7338944112925 kb_relative_information_score 640.0430847683028 kb_relative_information_score 633.2848882431534 kb_relative_information_score 645.7674927770023 kb_relative_information_score 643.4051228041271 kb_relative_information_score 638.6359611860673 kb_relative_information_score 650.1090920870257 kb_relative_information_score 643.1075786825232 kb_relative_information_score 645.8663305342718 mean_absolute_error 0.005222131070870153 mean_absolute_error 0.013622076979033277 mean_absolute_error 0.009535098929840008 mean_absolute_error 0.012784080234119654 mean_absolute_error 0.007606248326742899 mean_absolute_error 0.008500417410168324 mean_absolute_error 0.009323324443237135 mean_absolute_error 0.005496666664216245 mean_absolute_error 0.006154425919000672 mean_absolute_error 0.005308564363769207 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 0.9984997029114676 [1,0.990196] precision 0.9969805194805195 [0.996429,1] precision 0.9954812456721086 [0.998205,0.980583] precision 0.9939393939393939 [0.996416,0.980392] precision 0.9984875589526753 [0.998211,1] precision 0.9984995586937335 [1,0.990291] precision 0.9984875589526753 [0.998211,1] precision 0.9984875589526753 [0.998211,1] precision 0.9984974262846261 [1,0.990196] precision 0.9984974262846261 [1,0.990196] predictive_accuracy 0.9984848484848484 predictive_accuracy 0.9969696969696971 predictive_accuracy 0.9954545454545455 predictive_accuracy 0.9939393939393939 predictive_accuracy 0.9984848484848484 predictive_accuracy 0.9984848484848484 predictive_accuracy 0.9984848484848484 predictive_accuracy 0.9984848484848484 predictive_accuracy 0.9984825493171472 predictive_accuracy 0.9984825493171472 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 0.9984848484848485 [0.998211,1] recall 0.996969696969697 [1,0.980392] recall 0.9954545454545455 [0.996416,0.990196] recall 0.9939393939393939 [0.996416,0.980392] recall 0.9984848484848485 [1,0.990196] recall 0.9984848484848485 [0.998208,1] recall 0.9984848484848485 [1,0.990196] recall 0.9984848484848485 [1,0.990196] recall 0.9984825493171472 [0.998208,1] recall 0.9984825493171472 [0.998208,1] relative_absolute_error 0.020080084234643386 relative_absolute_error 0.05216928957829456 relative_absolute_error 0.036517143310389064 relative_absolute_error 0.04895996291552822 relative_absolute_error 0.02913010785161702 relative_absolute_error 0.032554561106210925 relative_absolute_error 0.03570609778965938 relative_absolute_error 0.02105091575698951 relative_absolute_error 0.02365033149273959 relative_absolute_error 0.020399840473516027 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 0.040155659673923746 root_mean_squared_error 0.05436764152310899 root_mean_squared_error 0.05077585199106635 root_mean_squared_error 0.06752050729226804 root_mean_squared_error 0.03957849790442676 root_mean_squared_error 0.04053643845253569 root_mean_squared_error 0.05149815835607797 root_mean_squared_error 0.03678823581915612 root_mean_squared_error 0.04223984925364823 root_mean_squared_error 0.029789994264560138 root_relative_squared_error 0.11153769058347919 root_relative_squared_error 0.15040666831493962 root_relative_squared_error 0.14047007585537183 root_relative_squared_error 0.18679372987787243 root_relative_squared_error 0.10949288657637243 root_relative_squared_error 0.11214300422445195 root_relative_squared_error 0.1424683176554671 root_relative_squared_error 0.10177369898217321 root_relative_squared_error 0.11725419276796652 root_relative_squared_error 0.08269446486605686 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 10083.782235999934 usercpu_time_millis 10034.292162999918 usercpu_time_millis 10105.171185000017 usercpu_time_millis 10536.275006000324 usercpu_time_millis 10480.251545000101 usercpu_time_millis 10587.946831999943 usercpu_time_millis 10064.765879999868 usercpu_time_millis 10354.596816999674 usercpu_time_millis 11216.366600000129 usercpu_time_millis 10043.914534000123 usercpu_time_millis_testing 309.6759009999914 usercpu_time_millis_testing 316.35079700026836 usercpu_time_millis_testing 322.9933650000021 usercpu_time_millis_testing 321.22540900036256 usercpu_time_millis_testing 326.3496010004019 usercpu_time_millis_testing 325.1717580001241 usercpu_time_millis_testing 298.91256800010524 usercpu_time_millis_testing 310.7597779999196 usercpu_time_millis_testing 308.5764420002306 usercpu_time_millis_testing 299.5869070000481 usercpu_time_millis_training 9774.106334999942 usercpu_time_millis_training 9717.94136599965 usercpu_time_millis_training 9782.177820000015 usercpu_time_millis_training 10215.049596999961 usercpu_time_millis_training 10153.9019439997 usercpu_time_millis_training 10262.77507399982 usercpu_time_millis_training 9765.853311999763 usercpu_time_millis_training 10043.837038999754 usercpu_time_millis_training 10907.790157999898 usercpu_time_millis_training 9744.327627000075