10416129 1 Jan van Rijn 14 Supervised Classification 16360 sklearn.svm.classes.SVC(32) 8253872 C 0.26271348666137917 16360 cache_size 200 16360 class_weight null 16360 coef0 0.0 16360 decision_function_shape "ovr" 16360 degree 3 16360 gamma 0.007417501296359656 16360 kernel "rbf" 16360 max_iter -1 16360 probability false 16360 random_state 10167 16360 shrinking false 16360 tol 3.423505756905875e-05 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 21754068 description https://api.openml.org/data/download/21754068/description.xml -1 21754069 predictions https://api.openml.org/data/download/21754069/predictions.arff area_under_roc_curve 0.8686111111111111 [0.9875,0.768056,0.949167,0.892222,0.809444,0.939444,0.739444,0.904722,0.975,0.721111] average_cost 0 f_measure 0.7632187100464862 [0.987342,0.643478,0.903226,0.84127,0.699454,0.877451,0.495536,0.754967,0.919048,0.510417] kappa 0.7372222222222222 kb_relative_information_score 0.7526783534824107 mean_absolute_error 0.047300000000000404 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.7720340049059287 [1,0.765517,0.896552,0.893258,0.771084,0.860577,0.447581,0.675889,0.877273,0.532609] predictive_accuracy 0.7635 prior_entropy 3.3219280948872383 recall 0.7635 [0.975,0.555,0.91,0.795,0.64,0.895,0.555,0.855,0.965,0.49] relative_absolute_error 0.26277777777777195 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.2174856317093164 root_relative_squared_error 0.7249521056977102 total_cost 0 area_under_roc_curve 0.8222222222222223 [0.95,0.736111,0.911111,0.822222,0.891667,0.972222,0.544444,0.844444,0.958333,0.591667] area_under_roc_curve 0.875 [1,0.813889,0.944444,0.897222,0.786111,0.936111,0.844444,0.875,0.969444,0.683333] area_under_roc_curve 0.8861111111111108 [0.975,0.791667,0.944444,0.866667,0.863889,0.944444,0.813889,0.852778,0.994444,0.813889] area_under_roc_curve 0.8694444444444445 [0.975,0.716667,0.95,0.969444,0.858333,0.891667,0.738889,0.852778,0.969444,0.772222] area_under_roc_curve 0.875 [1,0.761111,0.972222,0.866667,0.813889,0.961111,0.744444,0.902778,0.994444,0.733333] area_under_roc_curve 0.8694444444444446 [1,0.794444,0.969444,0.872222,0.738889,0.933333,0.769444,0.952778,0.966667,0.697222] 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 0.8833333333333332 [0.975,0.816667,0.969444,0.916667,0.813889,0.922222,0.786111,0.933333,0.966667,0.733333] area_under_roc_curve 0.8777777777777778 [1,0.763889,0.997222,0.897222,0.763889,0.944444,0.691667,0.936111,0.994444,0.788889] area_under_roc_curve 0.8388888888888889 [1,0.766667,0.908333,0.875,0.769444,0.947222,0.644444,0.952778,0.938889,0.586111] 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 0.681224631444715 [0.947368,0.571429,0.809524,0.764706,0.820513,0.95,0.181818,0.652174,0.844444,0.27027] f_measure 0.7714128046283187 [1,0.702703,0.9,0.864865,0.648649,0.837209,0.652174,0.711111,0.926829,0.470588] f_measure 0.7967280468053926 [0.974359,0.685714,0.9,0.789474,0.769231,0.9,0.595745,0.697674,0.952381,0.702703] f_measure 0.7659209059616184 [0.974359,0.5625,0.947368,0.926829,0.731707,0.820513,0.5,0.697674,0.926829,0.571429] f_measure 0.7704225448962291 [1,0.611111,0.95,0.789474,0.702703,0.863636,0.52381,0.755556,0.952381,0.555556] f_measure 0.7605412606348618 [1,0.705882,0.926829,0.833333,0.588235,0.818182,0.55814,0.808511,0.904762,0.461538] 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 0.7902540777542826 [0.974359,0.722222,0.926829,0.85,0.702703,0.894737,0.553191,0.818182,0.904762,0.555556] f_measure 0.7791449514360067 [1,0.628571,0.97561,0.864865,0.628571,0.9,0.439024,0.837209,0.952381,0.565217] f_measure 0.7140040030018783 [1,0.647059,0.790698,0.857143,0.666667,0.923077,0.333333,0.808511,0.857143,0.25641] kappa 0.6444444444444445 kappa 0.75 kappa 0.7722222222222223 kappa 0.7388888888888889 kappa 0.75 kappa 0.7388888888888889 kappa 0.7777777777777778 kappa 0.7666666666666667 kappa 0.7555555555555555 kappa 0.6777777777777777 kb_relative_information_score 0.6653576030205869 kb_relative_information_score 0.7647045646238513 kb_relative_information_score 0.7856197144350645 kb_relative_information_score 0.7542469897182446 kb_relative_information_score 0.7647045646238513 kb_relative_information_score 0.7542469897182446 kb_relative_information_score 0.7908485018878679 kb_relative_information_score 0.7803909269822614 kb_relative_information_score 0.7699333520766547 kb_relative_information_score 0.6967303277374072 mean_absolute_error 0.06399999999999993 mean_absolute_error 0.045 mean_absolute_error 0.041000000000000016 mean_absolute_error 0.04699999999999999 mean_absolute_error 0.045 mean_absolute_error 0.04699999999999999 mean_absolute_error 0.040000000000000015 mean_absolute_error 0.04200000000000001 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 0.6957778021771829 [1,0.666667,0.772727,0.928571,0.842105,0.95,0.166667,0.576923,0.76,0.294118] precision 0.778748695464808 [1,0.764706,0.9,0.941176,0.705882,0.782609,0.576923,0.64,0.904762,0.571429] precision 0.8067296240549706 [1,0.8,0.9,0.833333,0.789474,0.9,0.518519,0.652174,0.909091,0.764706] precision 0.7771876578798776 [1,0.75,1,0.904762,0.714286,0.842105,0.458333,0.652174,0.904762,0.545455] precision 0.7741296791443851 [1,0.6875,0.95,0.833333,0.764706,0.791667,0.5,0.68,0.909091,0.625] precision 0.7726453884491642 [1,0.857143,0.904762,0.9375,0.714286,0.75,0.521739,0.703704,0.863636,0.473684] precision 0.8197047397047396 [1,0.818182,1,0.818182,0.857143,0.857143,0.538462,0.633333,0.952381,0.722222] precision 0.7996530076677136 [1,0.8125,0.904762,0.85,0.764706,0.944444,0.481481,0.75,0.863636,0.625] precision 0.7880495122950366 [1,0.733333,0.952381,0.941176,0.733333,0.9,0.428571,0.782609,0.909091,0.5] precision 0.7389124690040022 [1,0.785714,0.73913,1,0.846154,0.947368,0.285714,0.703704,0.818182,0.263158] predictive_accuracy 0.68 predictive_accuracy 0.775 predictive_accuracy 0.795 predictive_accuracy 0.765 predictive_accuracy 0.775 predictive_accuracy 0.765 predictive_accuracy 0.8 predictive_accuracy 0.79 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 0.68 [0.9,0.5,0.85,0.65,0.8,0.95,0.2,0.75,0.95,0.25] recall 0.775 [1,0.65,0.9,0.8,0.6,0.9,0.75,0.8,0.95,0.4] recall 0.795 [0.95,0.6,0.9,0.75,0.75,0.9,0.7,0.75,1,0.65] recall 0.765 [0.95,0.45,0.9,0.95,0.75,0.8,0.55,0.75,0.95,0.6] recall 0.775 [1,0.55,0.95,0.75,0.65,0.95,0.55,0.85,1,0.5] 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 0.79 [0.95,0.65,0.95,0.85,0.65,0.85,0.65,0.9,0.95,0.5] recall 0.78 [1,0.55,1,0.8,0.55,0.9,0.45,0.9,1,0.65] recall 0.71 [1,0.55,0.85,0.75,0.55,0.9,0.4,0.95,0.9,0.25] relative_absolute_error 0.35555555555555557 relative_absolute_error 0.2500000000000003 relative_absolute_error 0.2277777777777781 relative_absolute_error 0.26111111111111135 relative_absolute_error 0.2500000000000003 relative_absolute_error 0.26111111111111135 relative_absolute_error 0.22222222222222257 relative_absolute_error 0.23333333333333364 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 0.2529822128134702 root_mean_squared_error 0.21213203435596426 root_mean_squared_error 0.20248456731316591 root_mean_squared_error 0.21679483388678797 root_mean_squared_error 0.21213203435596426 root_mean_squared_error 0.21679483388678797 root_mean_squared_error 0.20000000000000004 root_mean_squared_error 0.20493901531919198 root_mean_squared_error 0.20976176963403032 root_mean_squared_error 0.2408318915758458 root_relative_squared_error 0.8432740427115679 root_relative_squared_error 0.707106781186548 root_relative_squared_error 0.6749485577105534 root_relative_squared_error 0.7226494462892937 root_relative_squared_error 0.707106781186548 root_relative_squared_error 0.7226494462892937 root_relative_squared_error 0.6666666666666672 root_relative_squared_error 0.6831300510639737 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 944.5757849989604 usercpu_time_millis 944.5190799997363 usercpu_time_millis 945.1615250000032 usercpu_time_millis 944.50856200001 usercpu_time_millis 944.7547319996374 usercpu_time_millis 944.9146439992546 usercpu_time_millis 945.0711300005423 usercpu_time_millis 944.9135139993814 usercpu_time_millis 944.660368998484 usercpu_time_millis 944.0453799998068 usercpu_time_millis_testing 54.71260299964342 usercpu_time_millis_testing 54.69737499970506 usercpu_time_millis_testing 54.69500999970478 usercpu_time_millis_testing 54.74122899977374 usercpu_time_millis_testing 54.71382999985508 usercpu_time_millis_testing 54.70224199962104 usercpu_time_millis_testing 54.80966800041642 usercpu_time_millis_testing 54.739585999413976 usercpu_time_millis_testing 54.70428699936747 usercpu_time_millis_testing 54.70389499987505 usercpu_time_millis_training 889.863181999317 usercpu_time_millis_training 889.8217050000312 usercpu_time_millis_training 890.4665150002984 usercpu_time_millis_training 889.7673330002362 usercpu_time_millis_training 890.0409019997824 usercpu_time_millis_training 890.2124019996336 usercpu_time_millis_training 890.2614620001259 usercpu_time_millis_training 890.1739279999674 usercpu_time_millis_training 889.9560819991166 usercpu_time_millis_training 889.3414849999317 wall_clock_time_millis 944.6463584899902 wall_clock_time_millis 944.596529006958 wall_clock_time_millis 945.2333450317383 wall_clock_time_millis 944.5903301239014 wall_clock_time_millis 944.8256492614746 wall_clock_time_millis 944.9858665466309 wall_clock_time_millis 945.1436996459961 wall_clock_time_millis 944.98610496521 wall_clock_time_millis 944.7247982025146 wall_clock_time_millis 944.1235065460205 wall_clock_time_millis_testing 54.71944808959961 wall_clock_time_millis_testing 54.703712463378906 wall_clock_time_millis_testing 54.70108985900879 wall_clock_time_millis_testing 54.74734306335449 wall_clock_time_millis_testing 54.71992492675781 wall_clock_time_millis_testing 54.70848083496094 wall_clock_time_millis_testing 54.81600761413574 wall_clock_time_millis_testing 54.74662780761719 wall_clock_time_millis_testing 54.71014976501465 wall_clock_time_millis_testing 54.709672927856445 wall_clock_time_millis_training 889.9269104003906 wall_clock_time_millis_training 889.8928165435791 wall_clock_time_millis_training 890.5322551727295 wall_clock_time_millis_training 889.8429870605469 wall_clock_time_millis_training 890.1057243347168 wall_clock_time_millis_training 890.2773857116699 wall_clock_time_millis_training 890.3276920318604 wall_clock_time_millis_training 890.2394771575928 wall_clock_time_millis_training 890.0146484375 wall_clock_time_millis_training 889.4138336181641