10405587 1 Jan van Rijn 14 Supervised Classification 16360 sklearn.svm.classes.SVC(32) 8243353 C 57.24337527153107 16360 cache_size 200 16360 class_weight null 16360 coef0 -0.6646203598860321 16360 decision_function_shape "ovr" 16360 degree 3 16360 gamma 0.010096896294281345 16360 kernel "sigmoid" 16360 max_iter -1 16360 probability false 16360 random_state 65 16360 shrinking false 16360 tol 0.01811346028323272 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 21732959 description https://api.openml.org/data/download/21732959/description.xml -1 21732960 predictions https://api.openml.org/data/download/21732960/predictions.arff area_under_roc_curve 0.9011111111111111 [0.997222,0.863889,0.969167,0.918889,0.851389,0.961944,0.760278,0.959722,0.984167,0.744444] average_cost 0 f_measure 0.8210116395986854 [0.995,0.755,0.942643,0.884817,0.768,0.918919,0.565757,0.853933,0.97733,0.548718] kappa 0.8022222222222222 kb_relative_information_score 0.8138551666802072 mean_absolute_error 0.035600000000000236 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.8230124748505673 [0.995,0.755,0.940299,0.928571,0.822857,0.903382,0.561576,0.77551,0.984772,0.563158] predictive_accuracy 0.8220000000000001 prior_entropy 3.3219280948872383 recall 0.822 [0.995,0.755,0.945,0.845,0.72,0.935,0.57,0.95,0.97,0.535] relative_absolute_error 0.197777777777773 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.1886796226411327 root_relative_squared_error 0.6289320754704327 total_cost 0 area_under_roc_curve 0.8777777777777778 [0.975,0.927778,0.969444,0.875,0.891667,1,0.588889,0.913889,0.997222,0.638889] area_under_roc_curve 0.8972222222222221 [1,0.863889,0.969444,0.922222,0.766667,0.936111,0.85,0.930556,0.975,0.758333] area_under_roc_curve 0.913888888888889 [1,0.858333,0.975,0.888889,0.913889,0.944444,0.805556,0.941667,1,0.811111] area_under_roc_curve 0.9027777777777777 [1,0.836111,0.975,0.969444,0.908333,0.944444,0.777778,0.913889,0.975,0.727778] area_under_roc_curve 0.8944444444444443 [1,0.816667,0.975,0.916667,0.838889,0.963889,0.727778,0.983333,0.997222,0.725] area_under_roc_curve 0.9027777777777777 [1,0.863889,0.994444,0.9,0.886111,0.944444,0.772222,0.988889,0.975,0.702778] area_under_roc_curve 0.9222222222222222 [1,0.888889,0.95,0.947222,0.822222,0.969444,0.855556,0.977778,1,0.811111] area_under_roc_curve 0.9083333333333333 [1,0.858333,0.972222,0.922222,0.847222,0.972222,0.8,0.983333,0.972222,0.755556] area_under_roc_curve 0.9194444444444444 [1,0.844444,0.997222,0.997222,0.819444,0.969444,0.758333,0.983333,1,0.825] area_under_roc_curve 0.8722222222222221 [0.997222,0.880556,0.913889,0.85,0.819444,0.975,0.666667,0.980556,0.95,0.688889] 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 0.7779488559476837 [0.974359,0.782609,0.926829,0.857143,0.820513,1,0.263158,0.829268,0.97561,0.35] f_measure 0.8125836756255458 [1,0.769231,0.926829,0.894737,0.647059,0.837209,0.681818,0.8,0.974359,0.594595] f_measure 0.8447593890918665 [1,0.731707,0.974359,0.8,0.829268,0.9,0.65,0.878049,1,0.684211] f_measure 0.8239777691534563 [1,0.717949,0.974359,0.926829,0.790698,0.9,0.6,0.829268,0.974359,0.526316] f_measure 0.8051455507859974 [1,0.722222,0.974359,0.85,0.736842,0.883721,0.526316,0.869565,0.97561,0.512821] f_measure 0.8232353356743601 [1,0.769231,0.952381,0.888889,0.780488,0.9,0.571429,0.909091,0.974359,0.486486] f_measure 0.8593810068710016 [1,0.8,0.947368,0.923077,0.764706,0.926829,0.714286,0.833333,1,0.684211] f_measure 0.8344004364038409 [1,0.731707,0.95,0.894737,0.8,0.95,0.619048,0.869565,0.95,0.578947] f_measure 0.8514006303806299 [1,0.777778,0.97561,0.97561,0.742857,0.926829,0.594595,0.869565,1,0.651163] f_measure 0.7716813303684233 [0.97561,0.744186,0.829268,0.823529,0.742857,0.974359,0.4,0.851064,0.947368,0.428571] kappa 0.7555555555555555 kappa 0.7944444444444444 kappa 0.8277777777777777 kappa 0.8055555555555555 kappa 0.788888888888889 kappa 0.8055555555555555 kappa 0.8444444444444444 kappa 0.8166666666666667 kappa 0.8388888888888889 kappa 0.7444444444444445 kb_relative_information_score 0.7699333520766547 kb_relative_information_score 0.8065348642462777 kb_relative_information_score 0.8379075889630976 kb_relative_information_score 0.8169924391518844 kb_relative_information_score 0.8013060767934745 kb_relative_information_score 0.8169924391518844 kb_relative_information_score 0.8535939513215075 kb_relative_information_score 0.827450014057491 kb_relative_information_score 0.8483651638687042 kb_relative_information_score 0.759475777171048 mean_absolute_error 0.044000000000000004 mean_absolute_error 0.03700000000000002 mean_absolute_error 0.031000000000000014 mean_absolute_error 0.03500000000000002 mean_absolute_error 0.03800000000000002 mean_absolute_error 0.03500000000000002 mean_absolute_error 0.02800000000000001 mean_absolute_error 0.033000000000000015 mean_absolute_error 0.029000000000000012 mean_absolute_error 0.046 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 0.7828857399910031 [1,0.692308,0.904762,1,0.842105,1,0.277778,0.809524,0.952381,0.35] precision 0.8199061838312747 [1,0.789474,0.904762,0.944444,0.785714,0.782609,0.625,0.72,1,0.647059] precision 0.8453174603174604 [1,0.714286,1,0.8,0.809524,0.9,0.65,0.857143,1,0.722222] precision 0.8245813809887036 [1,0.736842,1,0.904762,0.73913,0.9,0.6,0.809524,1,0.555556] precision 0.8069847800940476 [1,0.8125,1,0.85,0.777778,0.826087,0.555556,0.769231,0.952381,0.526316] precision 0.8268668998699958 [1,0.789474,0.909091,1,0.761905,0.9,0.545455,0.833333,1,0.529412] precision 0.8699027872712084 [1,0.8,1,0.947368,0.928571,0.904762,0.681818,0.714286,1,0.722222] precision 0.8413314463314464 [1,0.714286,0.95,0.944444,0.933333,0.95,0.590909,0.769231,0.95,0.611111] precision 0.857617572112457 [1,0.875,0.952381,0.952381,0.866667,0.904762,0.647059,0.769231,1,0.608696] precision 0.7874055252316122 [0.952381,0.695652,0.809524,1,0.866667,1,0.4,0.740741,1,0.409091] predictive_accuracy 0.78 predictive_accuracy 0.815 predictive_accuracy 0.845 predictive_accuracy 0.825 predictive_accuracy 0.81 predictive_accuracy 0.825 predictive_accuracy 0.86 predictive_accuracy 0.835 predictive_accuracy 0.855 predictive_accuracy 0.77 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 0.78 [0.95,0.9,0.95,0.75,0.8,1,0.25,0.85,1,0.35] recall 0.815 [1,0.75,0.95,0.85,0.55,0.9,0.75,0.9,0.95,0.55] recall 0.845 [1,0.75,0.95,0.8,0.85,0.9,0.65,0.9,1,0.65] recall 0.825 [1,0.7,0.95,0.95,0.85,0.9,0.6,0.85,0.95,0.5] recall 0.81 [1,0.65,0.95,0.85,0.7,0.95,0.5,1,1,0.5] recall 0.825 [1,0.75,1,0.8,0.8,0.9,0.6,1,0.95,0.45] recall 0.86 [1,0.8,0.9,0.9,0.65,0.95,0.75,1,1,0.65] recall 0.835 [1,0.75,0.95,0.85,0.7,0.95,0.65,1,0.95,0.55] recall 0.855 [1,0.7,1,1,0.65,0.95,0.55,1,1,0.7] recall 0.77 [1,0.8,0.85,0.7,0.65,0.95,0.4,1,0.9,0.45] relative_absolute_error 0.24444444444444474 relative_absolute_error 0.20555555555555588 relative_absolute_error 0.1722222222222225 relative_absolute_error 0.19444444444444475 relative_absolute_error 0.21111111111111147 relative_absolute_error 0.19444444444444475 relative_absolute_error 0.15555555555555578 relative_absolute_error 0.18333333333333365 relative_absolute_error 0.16111111111111134 relative_absolute_error 0.2555555555555558 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 0.20976176963403032 root_mean_squared_error 0.19235384061671348 root_mean_squared_error 0.17606816861659014 root_mean_squared_error 0.1870828693386971 root_mean_squared_error 0.19493588689617933 root_mean_squared_error 0.1870828693386971 root_mean_squared_error 0.16733200530681513 root_mean_squared_error 0.18165902124584954 root_mean_squared_error 0.17029386365926405 root_mean_squared_error 0.21447610589527216 root_relative_squared_error 0.6992058987801015 root_relative_squared_error 0.6411794687223786 root_relative_squared_error 0.5868938953886341 root_relative_squared_error 0.6236095644623241 root_relative_squared_error 0.6497862896539316 root_relative_squared_error 0.6236095644623241 root_relative_squared_error 0.5577733510227175 root_relative_squared_error 0.6055300708194988 root_relative_squared_error 0.5676462121975472 root_relative_squared_error 0.714920352984241 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 309.07801000103063 usercpu_time_millis 310.7913510011713 usercpu_time_millis 307.7883989990369 usercpu_time_millis 310.02613800046674 usercpu_time_millis 309.72442800157296 usercpu_time_millis 311.6779529991618 usercpu_time_millis 311.6960549978103 usercpu_time_millis 309.33197800004564 usercpu_time_millis 311.9499430013093 usercpu_time_millis 307.44798900195747 usercpu_time_millis_testing 40.20616700108803 usercpu_time_millis_testing 40.5714500011527 usercpu_time_millis_testing 40.28480099987064 usercpu_time_millis_testing 40.25385999921127 usercpu_time_millis_testing 40.370672000790364 usercpu_time_millis_testing 40.436777999275364 usercpu_time_millis_testing 40.554518998760614 usercpu_time_millis_testing 40.618888999233604 usercpu_time_millis_testing 40.37830299967027 usercpu_time_millis_testing 40.28226400077983 usercpu_time_millis_training 268.8718429999426 usercpu_time_millis_training 270.2199010000186 usercpu_time_millis_training 267.50359799916623 usercpu_time_millis_training 269.7722780012555 usercpu_time_millis_training 269.3537560007826 usercpu_time_millis_training 271.2411749998864 usercpu_time_millis_training 271.14153599904967 usercpu_time_millis_training 268.71308900081203 usercpu_time_millis_training 271.571640001639 usercpu_time_millis_training 267.16572500117763 wall_clock_time_millis 309.1387748718262 wall_clock_time_millis 310.84203720092773 wall_clock_time_millis 307.83605575561523 wall_clock_time_millis 310.0767135620117 wall_clock_time_millis 309.7715377807617 wall_clock_time_millis 311.725378036499 wall_clock_time_millis 311.74612045288086 wall_clock_time_millis 309.38100814819336 wall_clock_time_millis 311.9988441467285 wall_clock_time_millis 307.4970245361328 wall_clock_time_millis_testing 40.22073745727539 wall_clock_time_millis_testing 40.58575630187988 wall_clock_time_millis_testing 40.29726982116699 wall_clock_time_millis_testing 40.2677059173584 wall_clock_time_millis_testing 40.38238525390625 wall_clock_time_millis_testing 40.44842720031738 wall_clock_time_millis_testing 40.56835174560547 wall_clock_time_millis_testing 40.631771087646484 wall_clock_time_millis_testing 40.390729904174805 wall_clock_time_millis_testing 40.29488563537598 wall_clock_time_millis_training 268.9180374145508 wall_clock_time_millis_training 270.25628089904785 wall_clock_time_millis_training 267.53878593444824 wall_clock_time_millis_training 269.8090076446533 wall_clock_time_millis_training 269.38915252685547 wall_clock_time_millis_training 271.27695083618164 wall_clock_time_millis_training 271.1777687072754 wall_clock_time_millis_training 268.7492370605469 wall_clock_time_millis_training 271.6081142425537 wall_clock_time_millis_training 267.20213890075684