10402937 1 Jan van Rijn 14 Supervised Classification 16360 sklearn.svm.classes.SVC(32) 8240705 C 14157.7694693682 16360 cache_size 200 16360 class_weight null 16360 coef0 0.3782597505563763 16360 decision_function_shape "ovr" 16360 degree 3 16360 gamma 0.0012505097632321644 16360 kernel "sigmoid" 16360 max_iter -1 16360 probability false 16360 random_state 37731 16360 shrinking true 16360 tol 0.009259120484187982 16360 verbose false 16360 openml-python Sklearn_0.21.2. 14 mfeat-fourier https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff -1 21727659 description https://api.openml.org/data/download/21727659/description.xml -1 21727660 predictions https://api.openml.org/data/download/21727660/predictions.arff area_under_roc_curve 0.9216666666666667 [1,0.895,0.965278,0.948611,0.909444,0.959722,0.797222,0.972222,0.986944,0.782222] average_cost 0 f_measure 0.8588320621719137 [1,0.79902,0.946835,0.916456,0.843434,0.936709,0.635,0.914286,0.982368,0.614213] kappa 0.8433333333333333 kb_relative_information_score 0.8525481938309505 mean_absolute_error 0.02820000000000013 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.8592878427047311 [1,0.783654,0.958974,0.928205,0.852041,0.948718,0.635,0.872727,0.989848,0.623711] predictive_accuracy 0.8590000000000001 prior_entropy 3.3219280948872383 recall 0.859 [1,0.815,0.935,0.905,0.835,0.925,0.635,0.96,0.975,0.605] relative_absolute_error 0.15666666666666257 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.16792855623746705 root_relative_squared_error 0.5597618541248816 total_cost 0 area_under_roc_curve 0.9249999999999998 [1,0.936111,0.972222,0.95,0.938889,0.975,0.844444,0.944444,1,0.688889] area_under_roc_curve 0.9083333333333334 [1,0.886111,0.947222,0.922222,0.891667,0.941667,0.730556,0.963889,1,0.8] area_under_roc_curve 0.9138888888888889 [1,0.933333,0.975,0.922222,0.963889,0.972222,0.722222,0.947222,1,0.702778] area_under_roc_curve 0.9555555555555554 [1,0.894444,0.975,0.994444,0.988889,0.95,0.916667,0.972222,0.975,0.888889] area_under_roc_curve 0.8944444444444443 [1,0.836111,0.925,0.944444,0.880556,0.894444,0.752778,0.961111,0.997222,0.752778] area_under_roc_curve 0.9222222222222222 [1,0.911111,0.972222,0.894444,0.872222,0.991667,0.827778,0.994444,0.975,0.783333] area_under_roc_curve 0.9222222222222222 [1,0.863889,0.925,0.994444,0.894444,0.972222,0.855556,0.958333,1,0.758333] area_under_roc_curve 0.936111111111111 [1,0.891667,0.997222,0.969444,0.897222,0.975,0.833333,0.991667,0.947222,0.858333] area_under_roc_curve 0.9277777777777778 [1,0.891667,0.997222,0.994444,0.919444,0.95,0.733333,0.994444,1,0.797222] area_under_roc_curve 0.9111111111111111 [1,0.905556,0.966667,0.9,0.847222,0.975,0.755556,0.994444,0.975,0.791667] 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 0.8618253467923523 [1,0.837209,0.95,0.947368,0.857143,0.974359,0.652174,0.9,1,0.5] f_measure 0.8340172260881578 [1,0.780488,0.923077,0.894737,0.820513,0.878049,0.540541,0.883721,1,0.619048] f_measure 0.8430561974442025 [1,0.818182,0.974359,0.894737,0.883721,0.95,0.5,0.923077,1,0.486486] f_measure 0.9199663494400336 [1,0.842105,0.974359,0.952381,0.909091,0.947368,0.85,0.95,0.974359,0.8] f_measure 0.8090610194476211 [1,0.717949,0.918919,0.9,0.744186,0.842105,0.564103,0.863636,0.97561,0.564103] f_measure 0.8590180504929585 [1,0.809524,0.95,0.842105,0.833333,0.930233,0.666667,0.952381,0.974359,0.631579] f_measure 0.858596065701329 [1,0.769231,0.918919,0.952381,0.842105,0.95,0.714286,0.844444,1,0.594595] f_measure 0.8847192482416532 [1,0.820513,0.97561,0.926829,0.864865,0.974359,0.7,0.930233,0.923077,0.731707] f_measure 0.8680254492566043 [1,0.820513,0.97561,0.952381,0.871795,0.947368,0.555556,0.952381,1,0.604651] f_measure 0.8424202113675798 [1,0.772727,0.904762,0.888889,0.8,0.974359,0.578947,0.952381,0.974359,0.577778] kappa 0.85 kappa 0.8166666666666667 kappa 0.8277777777777777 kappa 0.9111111111111112 kappa 0.788888888888889 kappa 0.8444444444444444 kappa 0.8444444444444444 kappa 0.8722222222222222 kappa 0.8555555555555555 kappa 0.8222222222222222 kb_relative_information_score 0.8588227387743107 kb_relative_information_score 0.827450014057491 kb_relative_information_score 0.8379075889630976 kb_relative_information_score 0.9163394007551472 kb_relative_information_score 0.8013060767934745 kb_relative_information_score 0.8535939513215075 kb_relative_information_score 0.8535939513215075 kb_relative_information_score 0.8797378885855239 kb_relative_information_score 0.8640515262271141 kb_relative_information_score 0.8326788015102943 mean_absolute_error 0.02700000000000001 mean_absolute_error 0.033000000000000015 mean_absolute_error 0.031000000000000014 mean_absolute_error 0.016000000000000004 mean_absolute_error 0.03800000000000002 mean_absolute_error 0.02800000000000001 mean_absolute_error 0.02800000000000001 mean_absolute_error 0.023000000000000007 mean_absolute_error 0.02600000000000001 mean_absolute_error 0.032000000000000015 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 0.8694380257423735 [1,0.782609,0.95,1,0.818182,1,0.576923,0.9,1,0.666667] precision 0.8358197089251067 [1,0.761905,0.947368,0.944444,0.842105,0.857143,0.588235,0.826087,1,0.590909] precision 0.8447311586724697 [1,0.75,1,0.944444,0.826087,0.95,0.5,0.947368,1,0.529412] precision 0.9231313131313132 [1,0.888889,1,0.909091,0.833333,1,0.85,0.95,1,0.8] precision 0.8123325523954813 [1,0.736842,1,0.9,0.695652,0.888889,0.578947,0.791667,0.952381,0.578947] precision 0.8630802591128679 [1,0.772727,0.95,0.888889,0.9375,0.869565,0.636364,0.909091,1,0.666667] precision 0.8626330487537918 [1,0.789474,1,0.909091,0.888889,0.95,0.681818,0.76,1,0.647059] precision 0.8871643943618637 [1,0.842105,0.952381,0.904762,0.941176,1,0.7,0.869565,0.947368,0.714286] precision 0.8697622267130276 [1,0.842105,0.952381,0.909091,0.894737,1,0.625,0.909091,1,0.565217] precision 0.8545505050505051 [1,0.708333,0.863636,1,0.933333,1,0.611111,0.909091,1,0.52] predictive_accuracy 0.865 predictive_accuracy 0.835 predictive_accuracy 0.845 predictive_accuracy 0.92 predictive_accuracy 0.81 predictive_accuracy 0.86 predictive_accuracy 0.86 predictive_accuracy 0.885 predictive_accuracy 0.87 predictive_accuracy 0.84 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 0.865 [1,0.9,0.95,0.9,0.9,0.95,0.75,0.9,1,0.4] recall 0.835 [1,0.8,0.9,0.85,0.8,0.9,0.5,0.95,1,0.65] recall 0.845 [1,0.9,0.95,0.85,0.95,0.95,0.5,0.9,1,0.45] recall 0.92 [1,0.8,0.95,1,1,0.9,0.85,0.95,0.95,0.8] recall 0.81 [1,0.7,0.85,0.9,0.8,0.8,0.55,0.95,1,0.55] recall 0.86 [1,0.85,0.95,0.8,0.75,1,0.7,1,0.95,0.6] recall 0.86 [1,0.75,0.85,1,0.8,0.95,0.75,0.95,1,0.55] recall 0.885 [1,0.8,1,0.95,0.8,0.95,0.7,1,0.9,0.75] recall 0.87 [1,0.8,1,1,0.85,0.9,0.5,1,1,0.65] recall 0.84 [1,0.85,0.95,0.8,0.7,0.95,0.55,1,0.95,0.65] relative_absolute_error 0.15000000000000024 relative_absolute_error 0.18333333333333365 relative_absolute_error 0.1722222222222225 relative_absolute_error 0.088888888888889 relative_absolute_error 0.21111111111111147 relative_absolute_error 0.15555555555555578 relative_absolute_error 0.15555555555555578 relative_absolute_error 0.12777777777777796 relative_absolute_error 0.14444444444444465 relative_absolute_error 0.17777777777777806 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 0.16431676725154987 root_mean_squared_error 0.18165902124584954 root_mean_squared_error 0.17606816861659014 root_mean_squared_error 0.1264911064067352 root_mean_squared_error 0.19493588689617933 root_mean_squared_error 0.16733200530681513 root_mean_squared_error 0.16733200530681513 root_mean_squared_error 0.15165750888103102 root_mean_squared_error 0.16124515496597103 root_mean_squared_error 0.1788854381999832 root_relative_squared_error 0.5477225575051665 root_relative_squared_error 0.6055300708194988 root_relative_squared_error 0.5868938953886341 root_relative_squared_error 0.42163702135578424 root_relative_squared_error 0.6497862896539316 root_relative_squared_error 0.5577733510227175 root_relative_squared_error 0.5577733510227175 root_relative_squared_error 0.505525029603437 root_relative_squared_error 0.5374838498865704 root_relative_squared_error 0.5962847939999444 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 162.69726700011233 usercpu_time_millis 161.19972800015603 usercpu_time_millis 155.93821499987826 usercpu_time_millis 161.33873300032064 usercpu_time_millis 159.24710199942638 usercpu_time_millis 163.69168099981835 usercpu_time_millis 163.69519600038984 usercpu_time_millis 163.05750900028215 usercpu_time_millis 162.95887000023868 usercpu_time_millis 160.85625499999878 usercpu_time_millis_testing 24.181319000035728 usercpu_time_millis_testing 24.635349000163842 usercpu_time_millis_testing 23.900096000033955 usercpu_time_millis_testing 24.148809000053006 usercpu_time_millis_testing 24.382248999700096 usercpu_time_millis_testing 23.848709000048984 usercpu_time_millis_testing 24.822227000186103 usercpu_time_millis_testing 24.46084700022766 usercpu_time_millis_testing 24.65855599984934 usercpu_time_millis_testing 24.104702999920846 usercpu_time_millis_training 138.5159480000766 usercpu_time_millis_training 136.5643789999922 usercpu_time_millis_training 132.0381189998443 usercpu_time_millis_training 137.18992400026764 usercpu_time_millis_training 134.86485299972628 usercpu_time_millis_training 139.84297199976936 usercpu_time_millis_training 138.87296900020374 usercpu_time_millis_training 138.5966620000545 usercpu_time_millis_training 138.30031400038933 usercpu_time_millis_training 136.75155200007794 wall_clock_time_millis 162.71543502807617 wall_clock_time_millis 161.2071990966797 wall_clock_time_millis 155.9460163116455 wall_clock_time_millis 161.3452434539795 wall_clock_time_millis 159.25359725952148 wall_clock_time_millis 163.69915008544922 wall_clock_time_millis 163.70177268981934 wall_clock_time_millis 163.06519508361816 wall_clock_time_millis 162.9805564880371 wall_clock_time_millis 160.86363792419434 wall_clock_time_millis_testing 24.188756942749023 wall_clock_time_millis_testing 24.6431827545166 wall_clock_time_millis_testing 23.90766143798828 wall_clock_time_millis_testing 24.155378341674805 wall_clock_time_millis_testing 24.38974380493164 wall_clock_time_millis_testing 23.856401443481445 wall_clock_time_millis_testing 24.82914924621582 wall_clock_time_millis_testing 24.46889877319336 wall_clock_time_millis_testing 24.669647216796875 wall_clock_time_millis_testing 24.111270904541016 wall_clock_time_millis_training 138.52667808532715 wall_clock_time_millis_training 136.5640163421631 wall_clock_time_millis_training 132.03835487365723 wall_clock_time_millis_training 137.1898651123047 wall_clock_time_millis_training 134.86385345458984 wall_clock_time_millis_training 139.84274864196777 wall_clock_time_millis_training 138.87262344360352 wall_clock_time_millis_training 138.5962963104248 wall_clock_time_millis_training 138.31090927124023 wall_clock_time_millis_training 136.75236701965332