10401102 1 Jan van Rijn 14 Supervised Classification 16360 sklearn.svm.classes.SVC(32) 8238872 C 198.52170738831154 16360 cache_size 200 16360 class_weight null 16360 coef0 0.5517261768673336 16360 decision_function_shape "ovr" 16360 degree 3 16360 gamma 0.17946518979085072 16360 kernel "sigmoid" 16360 max_iter -1 16360 probability false 16360 random_state 36799 16360 shrinking false 16360 tol 0.0024094235103802827 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 21723989 description https://api.openml.org/data/download/21723989/description.xml -1 21723991 predictions https://api.openml.org/data/download/21723991/predictions.arff area_under_roc_curve 0.9127777777777778 [1,0.883889,0.967778,0.932778,0.890833,0.956389,0.783611,0.961389,0.987222,0.763889] average_cost 0 f_measure 0.8427471229701813 [1,0.76555,0.949495,0.892857,0.814249,0.926952,0.611529,0.897375,0.984848,0.584615] kappa 0.8255555555555555 kb_relative_information_score 0.8358160739819802 mean_absolute_error 0.03140000000000018 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.8434023431658191 [1,0.733945,0.959184,0.911458,0.829016,0.93401,0.613065,0.858447,0.994898,0.6] predictive_accuracy 0.843 prior_entropy 3.3219280948872383 recall 0.843 [1,0.8,0.94,0.875,0.8,0.92,0.61,0.94,0.975,0.57] relative_absolute_error 0.17444444444444007 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.177200451466694 root_relative_squared_error 0.5906681715556377 total_cost 0 area_under_roc_curve 0.9222222222222222 [1,0.930556,0.972222,0.897222,0.938889,0.975,0.825,0.944444,1,0.738889] area_under_roc_curve 0.8944444444444444 [1,0.880556,0.947222,0.922222,0.816667,0.941667,0.702778,0.961111,1,0.772222] area_under_roc_curve 0.9055555555555556 [1,0.902778,0.975,0.894444,0.961111,0.972222,0.769444,0.919444,1,0.661111] area_under_roc_curve 0.9388888888888889 [1,0.816667,0.975,0.991667,0.955556,0.947222,0.919444,0.919444,0.975,0.888889] area_under_roc_curve 0.8972222222222223 [1,0.833333,0.95,0.944444,0.858333,0.916667,0.777778,0.936111,1,0.755556] area_under_roc_curve 0.9083333333333333 [1,0.905556,0.972222,0.894444,0.822222,0.966667,0.8,0.994444,0.975,0.752778] area_under_roc_curve 0.9027777777777777 [1,0.880556,0.925,0.922222,0.891667,0.972222,0.777778,0.958333,1,0.7] area_under_roc_curve 0.9305555555555555 [1,0.886111,0.997222,0.941667,0.869444,0.95,0.858333,0.991667,0.947222,0.863889] area_under_roc_curve 0.9194444444444444 [1,0.894444,0.997222,0.994444,0.944444,0.95,0.677778,0.994444,1,0.741667] area_under_roc_curve 0.9083333333333333 [1,0.908333,0.966667,0.925,0.85,0.972222,0.727778,0.994444,0.975,0.763889] 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 0.8585764781182016 [1,0.8,0.95,0.864865,0.857143,0.974359,0.651163,0.9,1,0.588235] f_measure 0.8083822235955261 [1,0.744186,0.923077,0.894737,0.722222,0.878049,0.486486,0.863636,1,0.571429] f_measure 0.8253090563387382 [1,0.755556,0.974359,0.842105,0.863636,0.95,0.55814,0.871795,1,0.4375] f_measure 0.8893926352268111 [1,0.722222,0.974359,0.930233,0.826087,0.923077,0.871795,0.871795,0.974359,0.8] f_measure 0.8145232408872435 [1,0.7,0.947368,0.9,0.731707,0.85,0.6,0.837209,1,0.578947] f_measure 0.8344190432890122 [1,0.772727,0.95,0.842105,0.764706,0.904762,0.619048,0.952381,0.974359,0.564103] f_measure 0.8246483283019391 [1,0.744186,0.918919,0.894737,0.820513,0.95,0.6,0.844444,1,0.473684] f_measure 0.8746573140847254 [1,0.780488,0.97561,0.878049,0.810811,0.947368,0.731707,0.930233,0.923077,0.769231] f_measure 0.852591769649118 [1,0.842105,0.97561,0.952381,0.9,0.947368,0.444444,0.952381,1,0.511628] f_measure 0.8374296959411077 [1,0.790698,0.904762,0.918919,0.823529,0.95,0.526316,0.952381,0.974359,0.533333] kappa 0.8444444444444444 kappa 0.788888888888889 kappa 0.8111111111111111 kappa 0.8777777777777778 kappa 0.7944444444444444 kappa 0.8166666666666667 kappa 0.8055555555555555 kappa 0.8611111111111112 kappa 0.8388888888888889 kappa 0.8166666666666667 kb_relative_information_score 0.8535939513215075 kb_relative_information_score 0.8013060767934745 kb_relative_information_score 0.8222212266046877 kb_relative_information_score 0.8849666760383273 kb_relative_information_score 0.8065348642462777 kb_relative_information_score 0.827450014057491 kb_relative_information_score 0.8169924391518844 kb_relative_information_score 0.8692803136799173 kb_relative_information_score 0.8483651638687042 kb_relative_information_score 0.827450014057491 mean_absolute_error 0.02800000000000001 mean_absolute_error 0.03800000000000002 mean_absolute_error 0.034000000000000016 mean_absolute_error 0.022000000000000006 mean_absolute_error 0.03700000000000002 mean_absolute_error 0.033000000000000015 mean_absolute_error 0.03500000000000002 mean_absolute_error 0.02500000000000001 mean_absolute_error 0.029000000000000012 mean_absolute_error 0.033000000000000015 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 0.865233965522968 [1,0.72,0.95,0.941176,0.818182,1,0.608696,0.9,1,0.714286] precision 0.8123640873380071 [1,0.695652,0.947368,0.944444,0.8125,0.857143,0.529412,0.791667,1,0.545455] precision 0.8310364861428934 [1,0.68,1,0.888889,0.791667,0.95,0.521739,0.894737,1,0.583333] precision 0.8949676553423693 [1,0.8125,1,0.869565,0.730769,0.947368,0.894737,0.894737,1,0.8] precision 0.8158005521049 [1,0.7,1,0.9,0.714286,0.85,0.6,0.782609,1,0.611111] precision 0.8418377382851067 [1,0.708333,0.95,0.888889,0.928571,0.863636,0.590909,0.909091,1,0.578947] precision 0.8292201881515382 [1,0.695652,1,0.944444,0.842105,0.95,0.6,0.76,1,0.5] precision 0.8774474549545218 [1,0.761905,0.952381,0.857143,0.882353,1,0.714286,0.869565,0.947368,0.789474] precision 0.8537712529016876 [1,0.888889,0.952381,0.909091,0.9,1,0.5,0.909091,1,0.478261] precision 0.8497413263065436 [1,0.73913,0.863636,1,1,0.95,0.555556,0.909091,1,0.48] predictive_accuracy 0.86 predictive_accuracy 0.81 predictive_accuracy 0.83 predictive_accuracy 0.89 predictive_accuracy 0.815 predictive_accuracy 0.835 predictive_accuracy 0.825 predictive_accuracy 0.875 predictive_accuracy 0.855 predictive_accuracy 0.835 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 0.86 [1,0.9,0.95,0.8,0.9,0.95,0.7,0.9,1,0.5] recall 0.81 [1,0.8,0.9,0.85,0.65,0.9,0.45,0.95,1,0.6] recall 0.83 [1,0.85,0.95,0.8,0.95,0.95,0.6,0.85,1,0.35] recall 0.89 [1,0.65,0.95,1,0.95,0.9,0.85,0.85,0.95,0.8] recall 0.815 [1,0.7,0.9,0.9,0.75,0.85,0.6,0.9,1,0.55] recall 0.835 [1,0.85,0.95,0.8,0.65,0.95,0.65,1,0.95,0.55] recall 0.825 [1,0.8,0.85,0.85,0.8,0.95,0.6,0.95,1,0.45] recall 0.875 [1,0.8,1,0.9,0.75,0.9,0.75,1,0.9,0.75] recall 0.855 [1,0.8,1,1,0.9,0.9,0.4,1,1,0.55] recall 0.835 [1,0.85,0.95,0.85,0.7,0.95,0.5,1,0.95,0.6] relative_absolute_error 0.15555555555555578 relative_absolute_error 0.21111111111111147 relative_absolute_error 0.1888888888888892 relative_absolute_error 0.1222222222222224 relative_absolute_error 0.20555555555555588 relative_absolute_error 0.18333333333333365 relative_absolute_error 0.19444444444444475 relative_absolute_error 0.1388888888888891 relative_absolute_error 0.16111111111111134 relative_absolute_error 0.18333333333333365 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 0.16733200530681513 root_mean_squared_error 0.19493588689617933 root_mean_squared_error 0.1843908891458578 root_mean_squared_error 0.14832396974191328 root_mean_squared_error 0.19235384061671348 root_mean_squared_error 0.18165902124584954 root_mean_squared_error 0.1870828693386971 root_mean_squared_error 0.158113883008419 root_mean_squared_error 0.17029386365926405 root_mean_squared_error 0.18165902124584954 root_relative_squared_error 0.5577733510227175 root_relative_squared_error 0.6497862896539316 root_relative_squared_error 0.6146362971528597 root_relative_squared_error 0.49441323247304453 root_relative_squared_error 0.6411794687223786 root_relative_squared_error 0.6055300708194988 root_relative_squared_error 0.6236095644623241 root_relative_squared_error 0.5270462766947304 root_relative_squared_error 0.5676462121975472 root_relative_squared_error 0.6055300708194988 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 193.95379000002322 usercpu_time_millis 190.06070099999306 usercpu_time_millis 182.54007299992736 usercpu_time_millis 192.39474999994854 usercpu_time_millis 189.04886199993598 usercpu_time_millis 185.20892300011838 usercpu_time_millis 190.61034400010612 usercpu_time_millis 187.38757900018754 usercpu_time_millis 179.10293600016303 usercpu_time_millis 186.16580399998384 usercpu_time_millis_testing 25.12593200003721 usercpu_time_millis_testing 25.493699999969976 usercpu_time_millis_testing 25.18155600000682 usercpu_time_millis_testing 25.402088999953776 usercpu_time_millis_testing 25.514148999945974 usercpu_time_millis_testing 25.240847000077338 usercpu_time_millis_testing 25.61802400009583 usercpu_time_millis_testing 25.716624000097 usercpu_time_millis_testing 25.354932000027475 usercpu_time_millis_testing 25.354568000011568 usercpu_time_millis_training 168.827857999986 usercpu_time_millis_training 164.56700100002308 usercpu_time_millis_training 157.35851699992054 usercpu_time_millis_training 166.99266099999477 usercpu_time_millis_training 163.53471299999 usercpu_time_millis_training 159.96807600004104 usercpu_time_millis_training 164.9923200000103 usercpu_time_millis_training 161.67095500009054 usercpu_time_millis_training 153.74800400013555 usercpu_time_millis_training 160.81123599997227 wall_clock_time_millis 193.9988136291504 wall_clock_time_millis 190.0925636291504 wall_clock_time_millis 182.5709342956543 wall_clock_time_millis 192.4266815185547 wall_clock_time_millis 189.09883499145508 wall_clock_time_millis 185.2397918701172 wall_clock_time_millis 190.6414031982422 wall_clock_time_millis 187.41965293884277 wall_clock_time_millis 179.13460731506348 wall_clock_time_millis 186.20920181274414 wall_clock_time_millis_testing 25.13599395751953 wall_clock_time_millis_testing 25.502443313598633 wall_clock_time_millis_testing 25.19059181213379 wall_clock_time_millis_testing 25.411128997802734 wall_clock_time_millis_testing 25.54154396057129 wall_clock_time_millis_testing 25.249958038330078 wall_clock_time_millis_testing 25.62689781188965 wall_clock_time_millis_testing 25.7260799407959 wall_clock_time_millis_testing 25.36487579345703 wall_clock_time_millis_testing 25.364398956298828 wall_clock_time_millis_training 168.86281967163086 wall_clock_time_millis_training 164.59012031555176 wall_clock_time_millis_training 157.3803424835205 wall_clock_time_millis_training 167.01555252075195 wall_clock_time_millis_training 163.5572910308838 wall_clock_time_millis_training 159.9898338317871 wall_clock_time_millis_training 165.01450538635254 wall_clock_time_millis_training 161.69357299804688 wall_clock_time_millis_training 153.76973152160645 wall_clock_time_millis_training 160.8448028564453