10401272 1 Jan van Rijn 14 Supervised Classification 16360 sklearn.svm.classes.SVC(32) 8239042 C 48.523927439868785 16360 cache_size 200 16360 class_weight null 16360 coef0 0.0 16360 decision_function_shape "ovr" 16360 degree 3 16360 gamma 0.001313888451737273 16360 kernel "rbf" 16360 max_iter -1 16360 probability false 16360 random_state 53535 16360 shrinking false 16360 tol 0.0017389620618750302 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 21724329 description https://api.openml.org/data/download/21724329/description.xml -1 21724330 predictions https://api.openml.org/data/download/21724330/predictions.arff area_under_roc_curve 0.8919444444444445 [0.994722,0.8475,0.961111,0.913056,0.845278,0.953611,0.751944,0.938333,0.980833,0.733056] average_cost 0 f_measure 0.8053853199059278 [0.992481,0.74036,0.93,0.872063,0.768392,0.904177,0.542373,0.809735,0.967419,0.526854] kappa 0.7838888888888889 kb_relative_information_score 0.7966001680859567 mean_absolute_error 0.03890000000000028 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.8093776542794519 [0.994975,0.761905,0.93,0.912568,0.844311,0.888889,0.525822,0.72619,0.969849,0.539267] predictive_accuracy 0.8055 prior_entropy 3.3219280948872383 recall 0.8055 [0.99,0.72,0.93,0.835,0.705,0.92,0.56,0.915,0.965,0.515] relative_absolute_error 0.21611111111110604 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.1972308292331609 root_relative_squared_error 0.6574360974438597 total_cost 0 area_under_roc_curve 0.8583333333333334 [0.975,0.927778,0.963889,0.872222,0.891667,0.975,0.555556,0.888889,0.972222,0.561111] area_under_roc_curve 0.8944444444444444 [1,0.866667,0.969444,0.922222,0.791667,0.936111,0.847222,0.905556,0.972222,0.733333] area_under_roc_curve 0.9166666666666665 [1,0.863889,0.975,0.888889,0.894444,0.944444,0.825,0.936111,1,0.838889] area_under_roc_curve 0.8888888888888888 [0.975,0.811111,0.95,0.969444,0.883333,0.941667,0.752778,0.883333,0.972222,0.75] area_under_roc_curve 0.8833333333333333 [1,0.761111,0.975,0.916667,0.816667,0.961111,0.747222,0.927778,1,0.727778] area_under_roc_curve 0.8972222222222223 [1,0.841667,0.969444,0.85,0.888889,0.969444,0.775,0.955556,0.975,0.747222] area_under_roc_curve 0.9111111111111111 [1,0.836111,0.925,0.944444,0.822222,0.944444,0.855556,0.972222,1,0.811111] area_under_roc_curve 0.8999999999999999 [1,0.861111,0.972222,0.919444,0.844444,0.922222,0.797222,0.955556,0.972222,0.755556] area_under_roc_curve 0.9111111111111111 [1,0.844444,0.997222,0.997222,0.8,0.969444,0.702778,0.983333,1,0.816667] area_under_roc_curve 0.8583333333333333 [0.997222,0.861111,0.913889,0.85,0.819444,0.972222,0.661111,0.975,0.944444,0.588889] 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 0.7429420044238308 [0.974359,0.782609,0.883721,0.833333,0.820513,0.974359,0.2,0.8,0.95,0.210526] f_measure 0.8078912877597834 [1,0.789474,0.926829,0.894737,0.685714,0.837209,0.666667,0.772727,0.95,0.555556] f_measure 0.8510909205034052 [1,0.769231,0.974359,0.8,0.842105,0.9,0.651163,0.837209,1,0.736842] f_measure 0.799872805841997 [0.974359,0.684211,0.947368,0.926829,0.761905,0.878049,0.564103,0.761905,0.95,0.55] f_measure 0.7866838522308187 [1,0.611111,0.974359,0.85,0.722222,0.863636,0.536585,0.782609,1,0.526316] f_measure 0.8156341855499736 [1,0.756757,0.926829,0.823529,0.8,0.926829,0.585366,0.826087,0.974359,0.536585] f_measure 0.8400069759822082 [1,0.717949,0.918919,0.9,0.764706,0.9,0.714286,0.8,1,0.684211] f_measure 0.8203994979411401 [1,0.75,0.95,0.871795,0.777778,0.894737,0.604651,0.826087,0.95,0.578947] f_measure 0.8370573914317286 [1,0.777778,0.97561,0.97561,0.75,0.926829,0.486486,0.869565,1,0.608696] f_measure 0.7431701409703804 [0.97561,0.75,0.829268,0.823529,0.742857,0.95,0.380952,0.816327,0.9,0.263158] kappa 0.7166666666666667 kappa 0.788888888888889 kappa 0.8333333333333333 kappa 0.7777777777777778 kappa 0.7666666666666667 kappa 0.7944444444444444 kappa 0.8222222222222222 kappa 0.7999999999999999 kappa 0.8222222222222222 kappa 0.7166666666666667 kb_relative_information_score 0.7333318399070311 kb_relative_information_score 0.8013060767934745 kb_relative_information_score 0.8431363764159009 kb_relative_information_score 0.7908485018878679 kb_relative_information_score 0.7803909269822614 kb_relative_information_score 0.8065348642462777 kb_relative_information_score 0.8326788015102943 kb_relative_information_score 0.811763651699081 kb_relative_information_score 0.8326788015102943 kb_relative_information_score 0.7333318399070311 mean_absolute_error 0.050999999999999976 mean_absolute_error 0.03800000000000002 mean_absolute_error 0.030000000000000013 mean_absolute_error 0.040000000000000015 mean_absolute_error 0.04200000000000001 mean_absolute_error 0.03700000000000002 mean_absolute_error 0.032000000000000015 mean_absolute_error 0.03600000000000002 mean_absolute_error 0.032000000000000015 mean_absolute_error 0.050999999999999976 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 0.7470222134209549 [1,0.692308,0.826087,0.9375,0.842105,1,0.2,0.8,0.95,0.222222] precision 0.814848171152519 [1,0.833333,0.904762,0.944444,0.8,0.782609,0.6,0.708333,0.95,0.625] precision 0.8547444698703279 [1,0.789474,1,0.8,0.888889,0.9,0.608696,0.782609,1,0.777778] precision 0.801761980709349 [1,0.722222,1,0.904762,0.727273,0.857143,0.578947,0.727273,0.95,0.55] precision 0.7913339438339438 [1,0.6875,1,0.85,0.8125,0.791667,0.52381,0.692308,1,0.555556] precision 0.8259060547295843 [1,0.823529,0.904762,1,0.8,0.904762,0.571429,0.730769,1,0.52381] precision 0.8536120604541658 [1,0.736842,1,0.9,0.928571,0.9,0.681818,0.666667,1,0.722222] precision 0.8271279019734398 [1,0.75,0.95,0.894737,0.875,0.944444,0.565217,0.730769,0.95,0.611111] precision 0.8521627881922 [1,0.875,0.952381,0.952381,1,0.904762,0.529412,0.769231,1,0.538462] precision 0.7559640742399364 [0.952381,0.75,0.809524,1,0.866667,0.95,0.363636,0.689655,0.9,0.277778] predictive_accuracy 0.745 predictive_accuracy 0.81 predictive_accuracy 0.85 predictive_accuracy 0.8 predictive_accuracy 0.79 predictive_accuracy 0.815 predictive_accuracy 0.84 predictive_accuracy 0.82 predictive_accuracy 0.84 predictive_accuracy 0.745 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 0.745 [0.95,0.9,0.95,0.75,0.8,0.95,0.2,0.8,0.95,0.2] recall 0.81 [1,0.75,0.95,0.85,0.6,0.9,0.75,0.85,0.95,0.5] recall 0.85 [1,0.75,0.95,0.8,0.8,0.9,0.7,0.9,1,0.7] recall 0.8 [0.95,0.65,0.9,0.95,0.8,0.9,0.55,0.8,0.95,0.55] recall 0.79 [1,0.55,0.95,0.85,0.65,0.95,0.55,0.9,1,0.5] recall 0.815 [1,0.7,0.95,0.7,0.8,0.95,0.6,0.95,0.95,0.55] recall 0.84 [1,0.7,0.85,0.9,0.65,0.9,0.75,1,1,0.65] recall 0.82 [1,0.75,0.95,0.85,0.7,0.85,0.65,0.95,0.95,0.55] recall 0.84 [1,0.7,1,1,0.6,0.95,0.45,1,1,0.7] recall 0.745 [1,0.75,0.85,0.7,0.65,0.95,0.4,1,0.9,0.25] relative_absolute_error 0.28333333333333355 relative_absolute_error 0.21111111111111147 relative_absolute_error 0.16666666666666693 relative_absolute_error 0.22222222222222257 relative_absolute_error 0.23333333333333364 relative_absolute_error 0.20555555555555588 relative_absolute_error 0.17777777777777806 relative_absolute_error 0.20000000000000032 relative_absolute_error 0.17777777777777806 relative_absolute_error 0.28333333333333355 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 0.22583179581272425 root_mean_squared_error 0.19493588689617933 root_mean_squared_error 0.17320508075688776 root_mean_squared_error 0.20000000000000004 root_mean_squared_error 0.20493901531919198 root_mean_squared_error 0.19235384061671348 root_mean_squared_error 0.1788854381999832 root_mean_squared_error 0.1897366596101028 root_mean_squared_error 0.1788854381999832 root_mean_squared_error 0.22583179581272425 root_relative_squared_error 0.7527726527090813 root_relative_squared_error 0.6497862896539316 root_relative_squared_error 0.5773502691896262 root_relative_squared_error 0.6666666666666672 root_relative_squared_error 0.6831300510639737 root_relative_squared_error 0.6411794687223786 root_relative_squared_error 0.5962847939999444 root_relative_squared_error 0.6324555320336763 root_relative_squared_error 0.5962847939999444 root_relative_squared_error 0.7527726527090813 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 458.20141100011824 usercpu_time_millis 458.1933980002759 usercpu_time_millis 455.37483299995074 usercpu_time_millis 457.38929599974654 usercpu_time_millis 457.1853489997011 usercpu_time_millis 458.68386000006467 usercpu_time_millis 460.0553669999954 usercpu_time_millis 458.19708199996967 usercpu_time_millis 458.01672300012797 usercpu_time_millis 457.15855899993585 usercpu_time_millis_testing 46.87485699992067 usercpu_time_millis_testing 46.705220000148984 usercpu_time_millis_testing 46.76318499991794 usercpu_time_millis_testing 46.774776999882306 usercpu_time_millis_testing 46.714968999822304 usercpu_time_millis_testing 46.87071100011053 usercpu_time_millis_testing 46.85301700010314 usercpu_time_millis_testing 46.7668369999501 usercpu_time_millis_testing 46.757861000060075 usercpu_time_millis_testing 46.96116700006314 usercpu_time_millis_training 411.3265540001976 usercpu_time_millis_training 411.48817800012694 usercpu_time_millis_training 408.6116480000328 usercpu_time_millis_training 410.61451899986423 usercpu_time_millis_training 410.4703799998788 usercpu_time_millis_training 411.81314899995414 usercpu_time_millis_training 413.20234999989225 usercpu_time_millis_training 411.43024500001957 usercpu_time_millis_training 411.2588620000679 usercpu_time_millis_training 410.1973919998727 wall_clock_time_millis 458.24170112609863 wall_clock_time_millis 458.2333564758301 wall_clock_time_millis 455.3854465484619 wall_clock_time_millis 457.4005603790283 wall_clock_time_millis 457.19361305236816 wall_clock_time_millis 458.70113372802734 wall_clock_time_millis 460.0648880004883 wall_clock_time_millis 458.2076072692871 wall_clock_time_millis 458.0349922180176 wall_clock_time_millis 457.1681022644043 wall_clock_time_millis_testing 46.88310623168945 wall_clock_time_millis_testing 46.71359062194824 wall_clock_time_millis_testing 46.77176475524902 wall_clock_time_millis_testing 46.78487777709961 wall_clock_time_millis_testing 46.722412109375 wall_clock_time_millis_testing 46.87809944152832 wall_clock_time_millis_testing 46.8602180480957 wall_clock_time_millis_testing 46.77438735961914 wall_clock_time_millis_testing 46.76699638366699 wall_clock_time_millis_testing 46.96941375732422 wall_clock_time_millis_training 411.3585948944092 wall_clock_time_millis_training 411.51976585388184 wall_clock_time_millis_training 408.6136817932129 wall_clock_time_millis_training 410.6156826019287 wall_clock_time_millis_training 410.47120094299316 wall_clock_time_millis_training 411.823034286499 wall_clock_time_millis_training 413.2046699523926 wall_clock_time_millis_training 411.43321990966797 wall_clock_time_millis_training 411.2679958343506 wall_clock_time_millis_training 410.1986885070801