10328584 8323 Heinrich Peters 14 Supervised Classification 16345 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1) 8184227 add_indicator false 12737 copy true 12737 fill_value null 12737 missing_values NaN 12737 strategy "most_frequent" 12737 verbose 0 12737 copy true 13294 with_mean true 13294 with_std true 13294 C 0.0625957382855844 13389 cache_size 200 13389 class_weight null 13389 coef0 0.06841249227557245 13389 decision_function_shape "ovr" 13389 degree 4 13389 gamma 0.03247401424135849 13389 kernel "sigmoid" 13389 max_iter -1 13389 probability false 13389 random_state 21454 13389 shrinking true 13389 tol 0.001 13389 verbose false 13389 memory null 16345 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "svc", "step_name": "svc"}}] 16345 verbose false 16345 openml-python Sklearn_0.21.2. 14 mfeat-fourier https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff -1 21578854 description https://api.openml.org/data/download/21578854/description.xml -1 21578855 predictions https://api.openml.org/data/download/21578855/predictions.arff area_under_roc_curve 0.8541666666666667 [0.971389,0.841944,0.941111,0.861389,0.76,0.938333,0.686111,0.875556,0.975,0.690833] average_cost 0 f_measure 0.7368876867910329 [0.961832,0.716792,0.908163,0.796748,0.593583,0.853081,0.42381,0.764706,0.902326,0.447837] kappa 0.7083333333333334 kb_relative_information_score 0.7254886587278344 mean_absolute_error 0.05250000000000048 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.7397497504694907 [0.979275,0.718593,0.927083,0.869822,0.637931,0.810811,0.404545,0.75,0.843478,0.455959] predictive_accuracy 0.7375 prior_entropy 3.3219280948872383 recall 0.7375 [0.945,0.715,0.89,0.735,0.555,0.9,0.445,0.78,0.97,0.44] relative_absolute_error 0.29166666666666036 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.22912878474779305 root_relative_squared_error 0.7637626158259652 total_cost 0 area_under_roc_curve 0.836111111111111 [0.947222,0.905556,0.911111,0.822222,0.838889,0.994444,0.597222,0.811111,0.958333,0.575] area_under_roc_curve 0.8638888888888888 [0.975,0.836111,0.944444,0.919444,0.758333,0.938889,0.738889,0.811111,0.963889,0.752778] area_under_roc_curve 0.863888888888889 [0.95,0.877778,0.925,0.808333,0.811111,0.933333,0.658333,0.869444,0.991667,0.813889] area_under_roc_curve 0.8555555555555556 [0.947222,0.788889,0.95,0.897222,0.819444,0.888889,0.738889,0.836111,0.963889,0.725] area_under_roc_curve 0.8472222222222221 [0.997222,0.763889,0.95,0.841667,0.719444,0.927778,0.722222,0.902778,0.994444,0.652778] area_under_roc_curve 0.8555555555555556 [1,0.866667,0.994444,0.847222,0.702778,0.958333,0.641667,0.936111,0.994444,0.613889] area_under_roc_curve 0.8527777777777779 [0.975,0.838889,0.9,0.913889,0.741667,0.886111,0.713889,0.927778,0.991667,0.638889] area_under_roc_curve 0.8777777777777778 [0.972222,0.855556,0.922222,0.894444,0.791667,0.944444,0.766667,0.911111,0.963889,0.755556] area_under_roc_curve 0.8583333333333333 [0.975,0.808333,0.997222,0.872222,0.661111,0.936111,0.666667,0.886111,0.994444,0.786111] area_under_roc_curve 0.8305555555555554 [0.975,0.877778,0.916667,0.797222,0.755556,0.975,0.616667,0.863889,0.933333,0.594444] 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 0.6997002825176201 [0.923077,0.772727,0.809524,0.764706,0.736842,0.952381,0.266667,0.684211,0.844444,0.242424] f_measure 0.7547874036490927 [0.974359,0.717949,0.9,0.871795,0.594595,0.857143,0.5,0.684211,0.883721,0.564103] f_measure 0.7523649552452386 [0.947368,0.727273,0.918919,0.666667,0.684211,0.818182,0.424242,0.810811,0.930233,0.595745] f_measure 0.7438689258885097 [0.923077,0.666667,0.947368,0.864865,0.622222,0.8,0.5,0.717949,0.883721,0.512821] f_measure 0.7186656444115839 [0.97561,0.628571,0.947368,0.756757,0.487805,0.782609,0.5,0.755556,0.952381,0.4] f_measure 0.732904248889561 [1,0.789474,0.952381,0.8,0.486486,0.844444,0.358974,0.837209,0.952381,0.307692] f_measure 0.7343864204994079 [0.974359,0.736842,0.888889,0.829268,0.606061,0.780488,0.465116,0.782609,0.930233,0.35] f_measure 0.7804488758895124 [0.95,0.714286,0.894737,0.842105,0.685714,0.9,0.545455,0.809524,0.883721,0.578947] f_measure 0.7410738279402821 [0.974359,0.666667,0.97561,0.833333,0.4375,0.837209,0.4,0.780488,0.952381,0.553191] f_measure 0.6989067803541488 [0.974359,0.727273,0.85,0.727273,0.578947,0.974359,0.291667,0.769231,0.818182,0.277778] kappa 0.6722222222222222 kappa 0.7277777777777777 kappa 0.7277777777777777 kappa 0.7111111111111111 kappa 0.6944444444444444 kappa 0.7111111111111111 kappa 0.7055555555555556 kappa 0.7555555555555555 kappa 0.7166666666666667 kappa 0.6611111111111111 kb_relative_information_score 0.6915015402846038 kb_relative_information_score 0.7437894148126378 kb_relative_information_score 0.7437894148126378 kb_relative_information_score 0.7281030524542276 kb_relative_information_score 0.7124166900958173 kb_relative_information_score 0.7281030524542276 kb_relative_information_score 0.7228742650014243 kb_relative_information_score 0.7699333520766547 kb_relative_information_score 0.7333318399070311 kb_relative_information_score 0.6810439653789969 mean_absolute_error 0.05899999999999995 mean_absolute_error 0.04899999999999999 mean_absolute_error 0.04899999999999999 mean_absolute_error 0.05199999999999998 mean_absolute_error 0.054999999999999966 mean_absolute_error 0.05199999999999998 mean_absolute_error 0.05299999999999997 mean_absolute_error 0.044000000000000004 mean_absolute_error 0.050999999999999976 mean_absolute_error 0.06099999999999994 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] precision 0.7073783672467883 [0.947368,0.708333,0.772727,0.928571,0.777778,0.909091,0.24,0.722222,0.76,0.307692] precision 0.7582409469577998 [1,0.736842,0.9,0.894737,0.647059,0.818182,0.458333,0.722222,0.826087,0.578947] precision 0.7631997630752511 [1,0.666667,1,0.684211,0.722222,0.75,0.538462,0.882353,0.869565,0.518519] precision 0.7546123076232781 [0.947368,0.75,1,0.941176,0.56,0.8,0.458333,0.736842,0.826087,0.526316] precision 0.7233499441734736 [0.952381,0.733333,1,0.823529,0.47619,0.692308,0.5,0.68,0.909091,0.466667] precision 0.7341079471522332 [1,0.833333,0.909091,0.933333,0.529412,0.76,0.368421,0.782609,0.909091,0.315789] precision 0.7465092636831768 [1,0.777778,1,0.809524,0.769231,0.761905,0.434783,0.692308,0.869565,0.35] precision 0.7875076855511638 [0.95,0.681818,0.944444,0.888889,0.8,0.9,0.5,0.772727,0.826087,0.611111] precision 0.74925106601594 [1,0.684211,0.952381,0.9375,0.583333,0.782609,0.4,0.761905,0.909091,0.481481] precision 0.7152828385065227 [1,0.666667,0.85,0.923077,0.611111,1,0.25,0.789474,0.75,0.3125] predictive_accuracy 0.705 predictive_accuracy 0.755 predictive_accuracy 0.755 predictive_accuracy 0.74 predictive_accuracy 0.725 predictive_accuracy 0.74 predictive_accuracy 0.735 predictive_accuracy 0.78 predictive_accuracy 0.745 predictive_accuracy 0.695 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 recall 0.705 [0.9,0.85,0.85,0.65,0.7,1,0.3,0.65,0.95,0.2] recall 0.755 [0.95,0.7,0.9,0.85,0.55,0.9,0.55,0.65,0.95,0.55] recall 0.755 [0.9,0.8,0.85,0.65,0.65,0.9,0.35,0.75,1,0.7] recall 0.74 [0.9,0.6,0.9,0.8,0.7,0.8,0.55,0.7,0.95,0.5] recall 0.725 [1,0.55,0.9,0.7,0.5,0.9,0.5,0.85,1,0.35] recall 0.74 [1,0.75,1,0.7,0.45,0.95,0.35,0.9,1,0.3] recall 0.735 [0.95,0.7,0.8,0.85,0.5,0.8,0.5,0.9,1,0.35] recall 0.78 [0.95,0.75,0.85,0.8,0.6,0.9,0.6,0.85,0.95,0.55] recall 0.745 [0.95,0.65,1,0.75,0.35,0.9,0.4,0.8,1,0.65] recall 0.695 [0.95,0.8,0.85,0.6,0.55,0.95,0.35,0.75,0.9,0.25] relative_absolute_error 0.32777777777777783 relative_absolute_error 0.2722222222222225 relative_absolute_error 0.2722222222222225 relative_absolute_error 0.2888888888888891 relative_absolute_error 0.3055555555555557 relative_absolute_error 0.2888888888888891 relative_absolute_error 0.2944444444444446 relative_absolute_error 0.24444444444444474 relative_absolute_error 0.28333333333333355 relative_absolute_error 0.3388888888888889 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 0.2428991560298223 root_mean_squared_error 0.22135943621178653 root_mean_squared_error 0.22135943621178653 root_mean_squared_error 0.22803508501982755 root_mean_squared_error 0.2345207879911714 root_mean_squared_error 0.22803508501982755 root_mean_squared_error 0.2302172886644267 root_mean_squared_error 0.20976176963403032 root_mean_squared_error 0.22583179581272425 root_mean_squared_error 0.24698178070456928 root_relative_squared_error 0.8096638534327415 root_relative_squared_error 0.7378647873726222 root_relative_squared_error 0.7378647873726222 root_relative_squared_error 0.7601169500660923 root_relative_squared_error 0.7817359599705718 root_relative_squared_error 0.7601169500660923 root_relative_squared_error 0.7673909622147562 root_relative_squared_error 0.6992058987801015 root_relative_squared_error 0.7527726527090813 root_relative_squared_error 0.8232726023485647 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 633.1008190027205 usercpu_time_millis 634.7080810010084 usercpu_time_millis 634.294797993789 usercpu_time_millis 651.003753002442 usercpu_time_millis 649.7378359999857 usercpu_time_millis 626.2684260073001 usercpu_time_millis 631.5111060030176 usercpu_time_millis 641.0473479991197 usercpu_time_millis 630.6145599955926 usercpu_time_millis 624.360425004852 usercpu_time_millis_testing 63.54338100209134 usercpu_time_millis_testing 64.99881399940932 usercpu_time_millis_testing 63.78415099607082 usercpu_time_millis_testing 63.945977002731524 usercpu_time_millis_testing 63.624376998632215 usercpu_time_millis_testing 63.41531700309133 usercpu_time_millis_testing 63.34995799988974 usercpu_time_millis_testing 63.078626997594256 usercpu_time_millis_testing 63.319814995338675 usercpu_time_millis_testing 63.56081100238953 usercpu_time_millis_training 569.5574380006292 usercpu_time_millis_training 569.7092670015991 usercpu_time_millis_training 570.5106469977181 usercpu_time_millis_training 587.0577759997104 usercpu_time_millis_training 586.1134590013535 usercpu_time_millis_training 562.8531090042088 usercpu_time_millis_training 568.1611480031279 usercpu_time_millis_training 577.9687210015254 usercpu_time_millis_training 567.2947450002539 usercpu_time_millis_training 560.7996140024625 wall_clock_time_millis 633.1624984741211 wall_clock_time_millis 634.7699165344238 wall_clock_time_millis 634.3562602996826 wall_clock_time_millis 651.1800289154053 wall_clock_time_millis 649.8043537139893 wall_clock_time_millis 626.3284683227539 wall_clock_time_millis 631.6015720367432 wall_clock_time_millis 641.1070823669434 wall_clock_time_millis 630.6793689727783 wall_clock_time_millis 624.422550201416 wall_clock_time_millis_testing 63.56096267700195 wall_clock_time_millis_testing 65.01388549804688 wall_clock_time_millis_testing 63.80009651184082 wall_clock_time_millis_testing 63.96365165710449 wall_clock_time_millis_testing 63.64178657531738 wall_clock_time_millis_testing 63.4307861328125 wall_clock_time_millis_testing 63.36832046508789 wall_clock_time_millis_testing 63.094139099121094 wall_clock_time_millis_testing 63.338279724121094 wall_clock_time_millis_testing 63.57860565185547 wall_clock_time_millis_training 569.6015357971191 wall_clock_time_millis_training 569.756031036377 wall_clock_time_millis_training 570.5561637878418 wall_clock_time_millis_training 587.2163772583008 wall_clock_time_millis_training 586.1625671386719 wall_clock_time_millis_training 562.8976821899414 wall_clock_time_millis_training 568.2332515716553 wall_clock_time_millis_training 578.0129432678223 wall_clock_time_millis_training 567.3410892486572 wall_clock_time_millis_training 560.8439445495605