10403871 1 Jan van Rijn 14 Supervised Classification 16360 sklearn.svm.classes.SVC(32) 8241638 C 75.85388675638877 16360 cache_size 200 16360 class_weight null 16360 coef0 -0.9292489285809464 16360 decision_function_shape "ovr" 16360 degree 3 16360 gamma 0.0007045253146731028 16360 kernel "sigmoid" 16360 max_iter -1 16360 probability false 16360 random_state 18897 16360 shrinking false 16360 tol 0.024012502737352212 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 21729527 description https://api.openml.org/data/download/21729527/description.xml -1 21729528 predictions https://api.openml.org/data/download/21729528/predictions.arff area_under_roc_curve 0.87 [0.99,0.7775,0.949722,0.892222,0.812222,0.939722,0.739722,0.905,0.971111,0.722778] average_cost 0 f_measure 0.7664991127953743 [0.989899,0.655271,0.907731,0.84127,0.704918,0.879607,0.496644,0.756637,0.922705,0.510309] kappa 0.74 kb_relative_information_score 0.7552927472088123 mean_absolute_error 0.0468000000000004 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.7749246451296439 [1,0.761589,0.905473,0.893258,0.777108,0.864734,0.449393,0.678571,0.892523,0.526596] predictive_accuracy 0.7659999999999999 prior_entropy 3.3219280948872383 recall 0.766 [0.98,0.575,0.91,0.795,0.645,0.895,0.555,0.855,0.955,0.495] relative_absolute_error 0.25999999999999424 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.21633307652784028 root_relative_squared_error 0.7211102550927899 total_cost 0 area_under_roc_curve 0.825 [0.95,0.733333,0.911111,0.847222,0.894444,0.972222,0.544444,0.844444,0.961111,0.591667] area_under_roc_curve 0.8777777777777778 [1,0.838889,0.944444,0.897222,0.786111,0.938889,0.844444,0.875,0.969444,0.683333] area_under_roc_curve 0.8916666666666666 [1,0.816667,0.947222,0.838889,0.863889,0.944444,0.813889,0.855556,1,0.836111] area_under_roc_curve 0.8722222222222222 [0.975,0.741667,0.95,0.969444,0.858333,0.891667,0.741667,0.852778,0.969444,0.772222] area_under_roc_curve 0.8777777777777778 [1,0.761111,0.972222,0.866667,0.838889,0.963889,0.744444,0.902778,0.994444,0.733333] area_under_roc_curve 0.8694444444444442 [1,0.794444,0.969444,0.875,0.738889,0.930556,0.769444,0.952778,0.966667,0.697222] area_under_roc_curve 0.8888888888888888 [1,0.719444,0.925,0.938889,0.794444,0.941667,0.816667,0.944444,0.997222,0.811111] area_under_roc_curve 0.8805555555555554 [0.975,0.813889,0.969444,0.916667,0.813889,0.922222,0.786111,0.933333,0.941667,0.733333] area_under_roc_curve 0.8777777777777778 [1,0.763889,0.997222,0.897222,0.763889,0.944444,0.691667,0.936111,0.997222,0.786111] area_under_roc_curve 0.8388888888888887 [1,0.791667,0.911111,0.875,0.769444,0.947222,0.644444,0.952778,0.913889,0.583333] 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 0.6872451778058186 [0.947368,0.555556,0.809524,0.8,0.842105,0.95,0.181818,0.652174,0.863636,0.27027] f_measure 0.7768201003660917 [1,0.736842,0.9,0.864865,0.648649,0.857143,0.652174,0.711111,0.926829,0.470588] f_measure 0.8079351132878568 [1,0.722222,0.923077,0.736842,0.769231,0.9,0.595745,0.714286,1,0.717949] f_measure 0.7714397572653534 [0.974359,0.606061,0.947368,0.926829,0.731707,0.820513,0.511628,0.697674,0.926829,0.571429] f_measure 0.7758449418118941 [1,0.611111,0.95,0.789474,0.736842,0.883721,0.52381,0.755556,0.952381,0.555556] f_measure 0.7611040311976324 [1,0.705882,0.926829,0.857143,0.588235,0.8,0.55814,0.808511,0.904762,0.461538] f_measure 0.7969154005368344 [1,0.580645,0.918919,0.857143,0.705882,0.878049,0.608696,0.76,0.97561,0.684211] f_measure 0.7856308133749207 [0.974359,0.702703,0.926829,0.85,0.702703,0.894737,0.553191,0.818182,0.878049,0.555556] f_measure 0.7802652416134029 [1,0.628571,0.97561,0.864865,0.628571,0.9,0.439024,0.837209,0.97561,0.553191] f_measure 0.7163236806438675 [1,0.685714,0.809524,0.857143,0.666667,0.923077,0.333333,0.808511,0.829268,0.25] kappa 0.65 kappa 0.7555555555555555 kappa 0.7833333333333334 kappa 0.7444444444444445 kappa 0.7555555555555555 kappa 0.7388888888888889 kappa 0.7777777777777778 kappa 0.7611111111111112 kappa 0.7555555555555555 kappa 0.6777777777777777 kb_relative_information_score 0.6705863904733903 kb_relative_information_score 0.7699333520766547 kb_relative_information_score 0.7960772893406711 kb_relative_information_score 0.759475777171048 kb_relative_information_score 0.7699333520766547 kb_relative_information_score 0.7542469897182446 kb_relative_information_score 0.7908485018878679 kb_relative_information_score 0.775162139529458 kb_relative_information_score 0.7699333520766547 kb_relative_information_score 0.6967303277374072 mean_absolute_error 0.06299999999999993 mean_absolute_error 0.044000000000000004 mean_absolute_error 0.03900000000000002 mean_absolute_error 0.046 mean_absolute_error 0.044000000000000004 mean_absolute_error 0.04699999999999999 mean_absolute_error 0.040000000000000015 mean_absolute_error 0.04300000000000001 mean_absolute_error 0.044000000000000004 mean_absolute_error 0.057999999999999954 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 0.6999323552264728 [1,0.625,0.772727,0.933333,0.888889,0.95,0.166667,0.576923,0.791667,0.294118] precision 0.783613197260256 [1,0.777778,0.9,0.941176,0.705882,0.818182,0.576923,0.64,0.904762,0.571429] precision 0.8164298688640794 [1,0.8125,0.947368,0.777778,0.789474,0.9,0.518519,0.681818,1,0.736842] precision 0.7811034884261429 [1,0.769231,1,0.904762,0.714286,0.842105,0.478261,0.652174,0.904762,0.545455] precision 0.778878897672376 [1,0.6875,0.95,0.833333,0.777778,0.826087,0.5,0.68,0.909091,0.625] precision 0.7758953884491643 [1,0.857143,0.904762,1,0.714286,0.72,0.521739,0.703704,0.863636,0.473684] precision 0.8197047397047396 [1,0.818182,1,0.818182,0.857143,0.857143,0.538462,0.633333,0.952381,0.722222] precision 0.794224245253657 [1,0.764706,0.904762,0.85,0.764706,0.944444,0.481481,0.75,0.857143,0.625] precision 0.7905266647721889 [1,0.733333,0.952381,0.941176,0.733333,0.9,0.428571,0.782609,0.952381,0.481481] precision 0.7415191338875549 [1,0.8,0.772727,1,0.846154,0.947368,0.285714,0.703704,0.809524,0.25] predictive_accuracy 0.685 predictive_accuracy 0.78 predictive_accuracy 0.805 predictive_accuracy 0.77 predictive_accuracy 0.78 predictive_accuracy 0.765 predictive_accuracy 0.8 predictive_accuracy 0.785 predictive_accuracy 0.78 predictive_accuracy 0.71 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 0.685 [0.9,0.5,0.85,0.7,0.8,0.95,0.2,0.75,0.95,0.25] recall 0.78 [1,0.7,0.9,0.8,0.6,0.9,0.75,0.8,0.95,0.4] recall 0.805 [1,0.65,0.9,0.7,0.75,0.9,0.7,0.75,1,0.7] recall 0.77 [0.95,0.5,0.9,0.95,0.75,0.8,0.55,0.75,0.95,0.6] recall 0.78 [1,0.55,0.95,0.75,0.7,0.95,0.55,0.85,1,0.5] recall 0.765 [1,0.6,0.95,0.75,0.5,0.9,0.6,0.95,0.95,0.45] recall 0.8 [1,0.45,0.85,0.9,0.6,0.9,0.7,0.95,1,0.65] recall 0.785 [0.95,0.65,0.95,0.85,0.65,0.85,0.65,0.9,0.9,0.5] recall 0.78 [1,0.55,1,0.8,0.55,0.9,0.45,0.9,1,0.65] recall 0.71 [1,0.6,0.85,0.75,0.55,0.9,0.4,0.95,0.85,0.25] relative_absolute_error 0.35 relative_absolute_error 0.24444444444444474 relative_absolute_error 0.21666666666666703 relative_absolute_error 0.2555555555555558 relative_absolute_error 0.24444444444444474 relative_absolute_error 0.26111111111111135 relative_absolute_error 0.22222222222222257 relative_absolute_error 0.2388888888888892 relative_absolute_error 0.24444444444444474 relative_absolute_error 0.32222222222222235 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 0.25099800796022254 root_mean_squared_error 0.20976176963403032 root_mean_squared_error 0.19748417658131504 root_mean_squared_error 0.21447610589527216 root_mean_squared_error 0.20976176963403032 root_mean_squared_error 0.21679483388678797 root_mean_squared_error 0.20000000000000004 root_mean_squared_error 0.20736441353327723 root_mean_squared_error 0.20976176963403032 root_mean_squared_error 0.2408318915758458 root_relative_squared_error 0.8366600265340756 root_relative_squared_error 0.6992058987801015 root_relative_squared_error 0.6582805886043839 root_relative_squared_error 0.714920352984241 root_relative_squared_error 0.6992058987801015 root_relative_squared_error 0.7226494462892937 root_relative_squared_error 0.6666666666666672 root_relative_squared_error 0.6912147117775912 root_relative_squared_error 0.6992058987801015 root_relative_squared_error 0.8027729719194865 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 881.4734309999039 usercpu_time_millis 879.058958999849 usercpu_time_millis 879.2618100001164 usercpu_time_millis 877.2971289999987 usercpu_time_millis 878.7140150002415 usercpu_time_millis 879.9360569996679 usercpu_time_millis 879.0605650001453 usercpu_time_millis 878.3059009997487 usercpu_time_millis 878.3456940000178 usercpu_time_millis 876.2305979998928 usercpu_time_millis_testing 58.38511499996457 usercpu_time_millis_testing 57.87414799988255 usercpu_time_millis_testing 58.326113000020996 usercpu_time_millis_testing 57.88836200008518 usercpu_time_millis_testing 57.851417000165384 usercpu_time_millis_testing 57.91065299990805 usercpu_time_millis_testing 57.90224800011856 usercpu_time_millis_testing 57.89102099970478 usercpu_time_millis_testing 57.84500899972045 usercpu_time_millis_testing 57.81672000011895 usercpu_time_millis_training 823.0883159999394 usercpu_time_millis_training 821.1848109999664 usercpu_time_millis_training 820.9356970000954 usercpu_time_millis_training 819.4087669999135 usercpu_time_millis_training 820.8625980000761 usercpu_time_millis_training 822.0254039997599 usercpu_time_millis_training 821.1583170000267 usercpu_time_millis_training 820.4148800000439 usercpu_time_millis_training 820.5006850002974 usercpu_time_millis_training 818.4138779997738 wall_clock_time_millis 881.4611434936523 wall_clock_time_millis 879.0421485900879 wall_clock_time_millis 879.2545795440674 wall_clock_time_millis 877.2835731506348 wall_clock_time_millis 878.6952495574951 wall_clock_time_millis 879.9030780792236 wall_clock_time_millis 879.0416717529297 wall_clock_time_millis 878.2944679260254 wall_clock_time_millis 878.3268928527832 wall_clock_time_millis 876.1980533599854 wall_clock_time_millis_testing 58.39037895202637 wall_clock_time_millis_testing 57.878732681274414 wall_clock_time_millis_testing 58.33101272583008 wall_clock_time_millis_testing 57.90424346923828 wall_clock_time_millis_testing 57.86752700805664 wall_clock_time_millis_testing 57.91425704956055 wall_clock_time_millis_testing 57.9068660736084 wall_clock_time_millis_testing 57.89446830749512 wall_clock_time_millis_testing 57.849884033203125 wall_clock_time_millis_testing 57.821035385131836 wall_clock_time_millis_training 823.070764541626 wall_clock_time_millis_training 821.1634159088135 wall_clock_time_millis_training 820.9235668182373 wall_clock_time_millis_training 819.3793296813965 wall_clock_time_millis_training 820.8277225494385 wall_clock_time_millis_training 821.9888210296631 wall_clock_time_millis_training 821.1348056793213 wall_clock_time_millis_training 820.3999996185303 wall_clock_time_millis_training 820.4770088195801 wall_clock_time_millis_training 818.3770179748535