5029509 1 Jan van Rijn 14 Supervised Classification 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) 3064905 axis 0 6947 categorical_features [] 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 [] 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 C 0.12462674485587996 6953 cache_size 200 6953 class_weight null 6953 coef0 0.0 6953 decision_function_shape null 6953 degree 3 6953 gamma 0.03265963827727238 6953 kernel "rbf" 6953 max_iter -1 6953 probability true 6953 random_state 8137 6953 shrinking true 6953 tol 2.02024878868095e-05 6953 verbose false 6953 openml-pimp openml-python Sklearn_0.18.1. 14 mfeat-fourier https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff -1 10992709 description https://api.openml.org/data/download/10992709/description.xml -1 10992710 predictions https://api.openml.org/data/download/10992710/predictions.arff area_under_roc_curve 0.9318766666666668 [0.999914,0.867531,0.979708,0.954633,0.900622,0.984756,0.859928,0.98445,0.952703,0.834522] average_cost 0 kappa 0.4666666666666667 kb_relative_information_score 242.388033210536 mean_absolute_error 0.17241016280307075 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] predictive_accuracy 0.52 prior_entropy 3.321928094887362 recall 0.52 [1,0.115,0.97,0.675,0.54,0.97,0.38,0.45,0.1,0] relative_absolute_error 0.957834237794808 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.2887714426438327 root_relative_squared_error 0.9625714754794275 total_cost 0 area_under_roc_curve 0.9319444444444446 [1,0.844167,0.980556,0.958056,0.9175,0.996944,0.771389,0.983056,0.953056,0.914722] area_under_roc_curve 0.9328888888888889 [1,0.848333,0.97,0.9625,0.885556,0.986944,0.904444,0.9825,0.939167,0.849444] area_under_roc_curve 0.9298888888888888 [0.999444,0.905,0.981389,0.897778,0.883056,0.99,0.895833,0.972222,0.973889,0.800278] area_under_roc_curve 0.9294722222222223 [0.999722,0.817778,0.99,0.964167,0.940278,0.984722,0.8575,0.984444,0.938333,0.817778] area_under_roc_curve 0.9297777777777777 [1,0.874444,0.973056,0.968333,0.855556,0.991667,0.8325,0.985278,0.950833,0.866111] area_under_roc_curve 0.940638888888889 [1,0.902222,0.983333,0.955,0.918056,0.979444,0.873889,0.993889,0.976944,0.823611] area_under_roc_curve 0.9385277777777778 [1,0.888889,0.991111,0.968333,0.905278,0.963333,0.910556,0.987222,0.966389,0.804167] area_under_roc_curve 0.9355277777777781 [1,0.878889,0.980278,0.960833,0.874167,0.988889,0.891667,0.99,0.934722,0.855833] area_under_roc_curve 0.9375 [1,0.843611,0.993333,0.984167,0.919444,0.969167,0.878889,0.984444,0.976111,0.825833] area_under_roc_curve 0.9173888888888889 [1,0.882778,0.953889,0.921389,0.915556,0.995278,0.791944,0.985833,0.916111,0.811111] 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 kappa 0.46111111111111114 kappa 0.4388888888888889 kappa 0.4777777777777778 kappa 0.5055555555555556 kappa 0.46111111111111114 kappa 0.4444444444444445 kappa 0.4833333333333334 kappa 0.4777777777777778 kappa 0.47222222222222227 kappa 0.4444444444444445 kb_relative_information_score 24.16237607877581 kb_relative_information_score 24.457370982942066 kb_relative_information_score 24.16997010185344 kb_relative_information_score 24.19914007402504 kb_relative_information_score 24.271374209643547 kb_relative_information_score 24.435937481967613 kb_relative_information_score 24.254124854823612 kb_relative_information_score 24.019964769043796 kb_relative_information_score 24.35063190584153 kb_relative_information_score 24.067142751619794 mean_absolute_error 0.1724377918243101 mean_absolute_error 0.17229749300015598 mean_absolute_error 0.1724447542658671 mean_absolute_error 0.17245978154762995 mean_absolute_error 0.17233576551917218 mean_absolute_error 0.17230681368894607 mean_absolute_error 0.1723862643010185 mean_absolute_error 0.17249519269335117 mean_absolute_error 0.1724371626532083 mean_absolute_error 0.17250060853704352 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] predictive_accuracy 0.515 predictive_accuracy 0.495 predictive_accuracy 0.53 predictive_accuracy 0.555 predictive_accuracy 0.515 predictive_accuracy 0.5 predictive_accuracy 0.535 predictive_accuracy 0.53 predictive_accuracy 0.525 predictive_accuracy 0.5 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 recall 0.515 [1,0.2,1,0.45,0.7,1,0.35,0.35,0.1,0] recall 0.495 [1,0.1,0.95,0.6,0.5,0.95,0.35,0.4,0.1,0] recall 0.53 [1,0.05,0.95,0.75,0.7,0.95,0.35,0.5,0.05,0] recall 0.555 [1,0.2,1,0.8,0.45,1,0.5,0.5,0.1,0] recall 0.515 [1,0.1,0.95,0.75,0.45,1,0.35,0.4,0.15,0] recall 0.5 [1,0.05,1,0.8,0.4,0.95,0.35,0.35,0.1,0] recall 0.535 [1,0.05,1,0.8,0.55,0.95,0.4,0.55,0.05,0] recall 0.53 [1,0.2,1,0.65,0.5,0.95,0.4,0.55,0.05,0] recall 0.525 [1,0.05,1,0.65,0.55,0.95,0.3,0.55,0.2,0] recall 0.5 [1,0.15,0.85,0.5,0.6,1,0.45,0.35,0.1,0] relative_absolute_error 0.9579877323572794 relative_absolute_error 0.9572082944453121 relative_absolute_error 0.9580264125881517 relative_absolute_error 0.9581098974868341 relative_absolute_error 0.9574209195509575 relative_absolute_error 0.9572600760497015 relative_absolute_error 0.9577014683389927 relative_absolute_error 0.9583066260741743 relative_absolute_error 0.9579842369622695 relative_absolute_error 0.9583367140946872 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_squared_error 0.2888226866205718 root_mean_squared_error 0.28860285731874746 root_mean_squared_error 0.2888294153876574 root_mean_squared_error 0.2888840145338916 root_mean_squared_error 0.2886561830749827 root_mean_squared_error 0.2885811962548434 root_mean_squared_error 0.2887245872081572 root_mean_squared_error 0.28889208837229013 root_mean_squared_error 0.28880634474097977 root_mean_squared_error 0.2889148190311023 root_relative_squared_error 0.9627422887352399 root_relative_squared_error 0.9620095243958255 root_relative_squared_error 0.9627647179588585 root_relative_squared_error 0.9629467151129727 root_relative_squared_error 0.9621872769166095 root_relative_squared_error 0.9619373208494787 root_relative_squared_error 0.9624152906938579 root_relative_squared_error 0.9629736279076343 root_relative_squared_error 0.9626878158032665 root_relative_squared_error 0.9630493967703415 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 13528.710489999867 usercpu_time_millis 11816.302311000072 usercpu_time_millis 11587.440438999693 usercpu_time_millis 11156.651077000788 usercpu_time_millis 11054.298868000842 usercpu_time_millis 11107.662329999584 usercpu_time_millis 11300.786103999599 usercpu_time_millis 11341.934178000884 usercpu_time_millis 10941.505967000921 usercpu_time_millis 11101.759399000002 usercpu_time_millis_testing 126.99998500011134 usercpu_time_millis_testing 181.4749290006148 usercpu_time_millis_testing 138.23309399958816 usercpu_time_millis_testing 135.41454100050032 usercpu_time_millis_testing 132.14999200044986 usercpu_time_millis_testing 122.05165499926807 usercpu_time_millis_testing 129.37497799975972 usercpu_time_millis_testing 120.85583400039468 usercpu_time_millis_testing 123.27841100068326 usercpu_time_millis_testing 126.2867430004917 usercpu_time_millis_training 13401.710504999755 usercpu_time_millis_training 11634.827381999457 usercpu_time_millis_training 11449.207345000104 usercpu_time_millis_training 11021.236536000288 usercpu_time_millis_training 10922.148876000392 usercpu_time_millis_training 10985.610675000316 usercpu_time_millis_training 11171.411125999839 usercpu_time_millis_training 11221.078344000489 usercpu_time_millis_training 10818.227556000238 usercpu_time_millis_training 10975.47265599951