10372276 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) 8227619 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 160.2400925342376 13389 cache_size 200 13389 class_weight null 13389 coef0 0.2780508839036353 13389 decision_function_shape "ovr" 13389 degree 2 13389 gamma 3.223366877926526e-05 13389 kernel "sigmoid" 13389 max_iter -1 13389 probability false 13389 random_state 53044 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 21666257 description https://api.openml.org/data/download/21666257/description.xml -1 21666258 predictions https://api.openml.org/data/download/21666258/predictions.arff area_under_roc_curve 0.8958333333333335 [0.995,0.862222,0.964722,0.915556,0.861389,0.954444,0.694722,0.957778,0.986111,0.766389] average_cost 0 f_measure 0.8111386505758278 [0.994975,0.730769,0.942065,0.875,0.781003,0.910891,0.479109,0.87037,0.975,0.552204] kappa 0.7916666666666666 kb_relative_information_score 0.803920470519881 mean_absolute_error 0.03750000000000026 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.8136139033298979 [1,0.703704,0.949239,0.913043,0.826816,0.901961,0.540881,0.810345,0.975,0.515152] predictive_accuracy 0.8125 prior_entropy 3.3219280948872383 recall 0.8125 [0.99,0.76,0.935,0.84,0.74,0.92,0.43,0.94,0.975,0.595] relative_absolute_error 0.20833333333332837 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.19364916731037152 root_relative_squared_error 0.6454972243678953 total_cost 0 area_under_roc_curve 0.8805555555555555 [0.975,0.894444,0.972222,0.872222,0.916667,1,0.594444,0.888889,0.997222,0.694444] area_under_roc_curve 0.8972222222222221 [1,0.891667,0.969444,0.922222,0.813889,0.938889,0.711111,0.933333,0.972222,0.819444] area_under_roc_curve 0.9083333333333333 [1,0.877778,0.975,0.894444,0.911111,0.944444,0.733333,0.919444,1,0.827778] area_under_roc_curve 0.9083333333333334 [0.975,0.838889,0.975,0.969444,0.905556,0.941667,0.788889,0.916667,0.972222,0.8] area_under_roc_curve 0.8916666666666667 [1,0.788889,0.975,0.916667,0.866667,0.941667,0.680556,0.977778,1,0.769444] area_under_roc_curve 0.9055555555555556 [1,0.886111,0.994444,0.897222,0.869444,0.947222,0.75,0.991667,1,0.719444] area_under_roc_curve 0.8888888888888888 [1,0.858333,0.925,0.941667,0.844444,0.938889,0.702778,0.983333,1,0.694444] area_under_roc_curve 0.913888888888889 [1,0.877778,0.947222,0.919444,0.872222,0.947222,0.805556,0.991667,0.972222,0.805556] area_under_roc_curve 0.8944444444444444 [1,0.838889,0.997222,0.972222,0.766667,0.969444,0.583333,0.986111,1,0.830556] area_under_roc_curve 0.8694444444444442 [1,0.869444,0.916667,0.85,0.847222,0.975,0.597222,0.988889,0.947222,0.702778] 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 0.781941317490098 [0.974359,0.708333,0.95,0.833333,0.85,1,0.277778,0.8,0.97561,0.45] f_measure 0.812174029586625 [1,0.820513,0.926829,0.894737,0.702703,0.857143,0.529412,0.818182,0.95,0.622222] f_measure 0.83472778683305 [1,0.727273,0.974359,0.842105,0.809524,0.9,0.555556,0.871795,1,0.666667] f_measure 0.8348879661203152 [0.974359,0.736842,0.974359,0.926829,0.772727,0.878049,0.666667,0.85,0.95,0.619048] f_measure 0.8007163831083882 [1,0.666667,0.974359,0.85,0.789474,0.878049,0.457143,0.833333,1,0.55814] f_measure 0.8299658792199915 [1,0.780488,0.952381,0.864865,0.810811,0.923077,0.55,0.930233,1,0.487805] f_measure 0.796964735527832 [1,0.731707,0.918919,0.878049,0.777778,0.857143,0.486486,0.869565,1,0.45] f_measure 0.8458787336694314 [1,0.727273,0.923077,0.871795,0.833333,0.923077,0.65,0.930233,0.95,0.65] f_measure 0.7980130802856016 [1,0.736842,0.97561,0.95,0.647059,0.926829,0.266667,0.888889,1,0.588235] f_measure 0.7672153482729202 [1,0.680851,0.85,0.823529,0.8,0.974359,0.285714,0.909091,0.923077,0.425532] kappa 0.7611111111111112 kappa 0.7944444444444444 kappa 0.8166666666666667 kappa 0.8166666666666667 kappa 0.7833333333333334 kappa 0.8111111111111111 kappa 0.7777777777777778 kappa 0.8277777777777777 kappa 0.788888888888889 kappa 0.7388888888888889 kb_relative_information_score 0.7751621395294579 kb_relative_information_score 0.8065348642462777 kb_relative_information_score 0.827450014057491 kb_relative_information_score 0.827450014057491 kb_relative_information_score 0.7960772893406711 kb_relative_information_score 0.8222212266046877 kb_relative_information_score 0.7908485018878679 kb_relative_information_score 0.8379075889630976 kb_relative_information_score 0.8013060767934745 kb_relative_information_score 0.7542469897182446 mean_absolute_error 0.04300000000000001 mean_absolute_error 0.03700000000000002 mean_absolute_error 0.033000000000000015 mean_absolute_error 0.033000000000000015 mean_absolute_error 0.03900000000000002 mean_absolute_error 0.034000000000000016 mean_absolute_error 0.040000000000000015 mean_absolute_error 0.031000000000000014 mean_absolute_error 0.03800000000000002 mean_absolute_error 0.04699999999999999 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 0.7859523809523808 [1,0.607143,0.95,0.9375,0.85,1,0.3125,0.8,0.952381,0.45] precision 0.8177056455756145 [1,0.842105,0.904762,0.944444,0.764706,0.818182,0.642857,0.75,0.95,0.56] precision 0.8384383306751728 [1,0.666667,1,0.888889,0.772727,0.9,0.625,0.894737,1,0.636364] precision 0.8388924963924964 [1,0.777778,1,0.904762,0.708333,0.857143,0.75,0.85,0.95,0.590909] precision 0.8059834368530021 [1,0.75,1,0.85,0.833333,0.857143,0.533333,0.714286,1,0.521739] precision 0.833764919739479 [1,0.761905,0.909091,0.941176,0.882353,0.947368,0.55,0.869565,1,0.47619] precision 0.8013252923547042 [1,0.714286,1,0.857143,0.875,0.818182,0.529412,0.769231,1,0.45] precision 0.8513205568268496 [1,0.666667,0.947368,0.894737,0.9375,0.947368,0.65,0.869565,0.95,0.65] precision 0.8054505888376856 [1,0.777778,0.952381,0.95,0.785714,0.904762,0.4,0.8,1,0.483871] precision 0.7860331384015595 [1,0.592593,0.85,1,0.933333,1,0.333333,0.833333,0.947368,0.37037] predictive_accuracy 0.785 predictive_accuracy 0.815 predictive_accuracy 0.835 predictive_accuracy 0.835 predictive_accuracy 0.805 predictive_accuracy 0.83 predictive_accuracy 0.8 predictive_accuracy 0.845 predictive_accuracy 0.81 predictive_accuracy 0.765 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 0.785 [0.95,0.85,0.95,0.75,0.85,1,0.25,0.8,1,0.45] recall 0.815 [1,0.8,0.95,0.85,0.65,0.9,0.45,0.9,0.95,0.7] recall 0.835 [1,0.8,0.95,0.8,0.85,0.9,0.5,0.85,1,0.7] recall 0.835 [0.95,0.7,0.95,0.95,0.85,0.9,0.6,0.85,0.95,0.65] recall 0.805 [1,0.6,0.95,0.85,0.75,0.9,0.4,1,1,0.6] recall 0.83 [1,0.8,1,0.8,0.75,0.9,0.55,1,1,0.5] recall 0.8 [1,0.75,0.85,0.9,0.7,0.9,0.45,1,1,0.45] recall 0.845 [1,0.8,0.9,0.85,0.75,0.9,0.65,1,0.95,0.65] recall 0.81 [1,0.7,1,0.95,0.55,0.95,0.2,1,1,0.75] recall 0.765 [1,0.8,0.85,0.7,0.7,0.95,0.25,1,0.9,0.5] relative_absolute_error 0.2388888888888892 relative_absolute_error 0.20555555555555588 relative_absolute_error 0.18333333333333365 relative_absolute_error 0.18333333333333365 relative_absolute_error 0.21666666666666703 relative_absolute_error 0.1888888888888892 relative_absolute_error 0.22222222222222257 relative_absolute_error 0.1722222222222225 relative_absolute_error 0.21111111111111147 relative_absolute_error 0.26111111111111135 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 0.20736441353327723 root_mean_squared_error 0.19235384061671348 root_mean_squared_error 0.18165902124584954 root_mean_squared_error 0.18165902124584954 root_mean_squared_error 0.19748417658131504 root_mean_squared_error 0.1843908891458578 root_mean_squared_error 0.20000000000000004 root_mean_squared_error 0.17606816861659014 root_mean_squared_error 0.19493588689617933 root_mean_squared_error 0.21679483388678797 root_relative_squared_error 0.6912147117775912 root_relative_squared_error 0.6411794687223786 root_relative_squared_error 0.6055300708194988 root_relative_squared_error 0.6055300708194988 root_relative_squared_error 0.6582805886043839 root_relative_squared_error 0.6146362971528597 root_relative_squared_error 0.6666666666666672 root_relative_squared_error 0.5868938953886341 root_relative_squared_error 0.6497862896539316 root_relative_squared_error 0.7226494462892937 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 468.06842400110327 usercpu_time_millis 467.2753990016645 usercpu_time_millis 467.428939002275 usercpu_time_millis 462.98398499857285 usercpu_time_millis 467.121715999383 usercpu_time_millis 451.2040059998981 usercpu_time_millis 454.3803439992189 usercpu_time_millis 457.8759830001218 usercpu_time_millis 464.43336000083946 usercpu_time_millis 453.7912639971182 usercpu_time_millis_testing 49.08347099990351 usercpu_time_millis_testing 49.536965001607314 usercpu_time_millis_testing 50.06557600063388 usercpu_time_millis_testing 49.65468999944278 usercpu_time_millis_testing 48.94127000079607 usercpu_time_millis_testing 48.992986001394456 usercpu_time_millis_testing 49.226425999222556 usercpu_time_millis_testing 48.893211998802144 usercpu_time_millis_testing 49.46487200140837 usercpu_time_millis_testing 49.0642549993936 usercpu_time_millis_training 418.98495300119976 usercpu_time_millis_training 417.73843400005717 usercpu_time_millis_training 417.3633630016411 usercpu_time_millis_training 413.32929499913007 usercpu_time_millis_training 418.18044599858695 usercpu_time_millis_training 402.2110199985036 usercpu_time_millis_training 405.15391799999634 usercpu_time_millis_training 408.98277100131963 usercpu_time_millis_training 414.9684879994311 usercpu_time_millis_training 404.7270089977246 wall_clock_time_millis 468.10388565063477 wall_clock_time_millis 467.3037528991699 wall_clock_time_millis 467.4696922302246 wall_clock_time_millis 463.00554275512695 wall_clock_time_millis 467.13733673095703 wall_clock_time_millis 451.2195587158203 wall_clock_time_millis 454.40149307250977 wall_clock_time_millis 457.9000473022461 wall_clock_time_millis 464.4782543182373 wall_clock_time_millis 454.2427062988281 wall_clock_time_millis_testing 49.09491539001465 wall_clock_time_millis_testing 49.54886436462402 wall_clock_time_millis_testing 50.077199935913086 wall_clock_time_millis_testing 49.664974212646484 wall_clock_time_millis_testing 48.9506721496582 wall_clock_time_millis_testing 48.999786376953125 wall_clock_time_millis_testing 49.236297607421875 wall_clock_time_millis_testing 48.905134201049805 wall_clock_time_millis_testing 49.484968185424805 wall_clock_time_millis_testing 49.07512664794922 wall_clock_time_millis_training 419.0089702606201 wall_clock_time_millis_training 417.7548885345459 wall_clock_time_millis_training 417.3924922943115 wall_clock_time_millis_training 413.34056854248047 wall_clock_time_millis_training 418.1866645812988 wall_clock_time_millis_training 402.2197723388672 wall_clock_time_millis_training 405.1651954650879 wall_clock_time_millis_training 408.9949131011963 wall_clock_time_millis_training 414.9932861328125 wall_clock_time_millis_training 405.1675796508789