Task
Supervised Classification on fri_c0_1000_5

Supervised Classification on fri_c0_1000_5

Task 3664 Supervised Classification fri_c0_1000_5 436 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8482, f_measure: 0.8479, kappa: 0.6961, kb_relative_information_score: 695.9842, mean_absolute_error: 0.152, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.8491, predictive_accuracy: 0.848, prior_entropy: 1, recall: 0.848, relative_absolute_error: 0.304, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3899, root_relative_squared_error: 0.7798, scimark_benchmark: 947.4269, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.844, f_measure: 0.844, kappa: 0.688, kb_relative_information_score: 687.9838, mean_absolute_error: 0.156, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.8441, predictive_accuracy: 0.844, prior_entropy: 1, recall: 0.844, relative_absolute_error: 0.312, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.395, root_relative_squared_error: 0.79, scimark_benchmark: 928.3108, usercpu_time_millis: 790, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.922, f_measure: 0.849, kappa: 0.698, kb_relative_information_score: 544.6446, mean_absolute_error: 0.2432, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.849, predictive_accuracy: 0.849, prior_entropy: 1, recall: 0.849, relative_absolute_error: 0.4864, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.336, root_relative_squared_error: 0.6719, scimark_benchmark: 904.3001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9566, f_measure: 0.881, kappa: 0.762, kb_relative_information_score: 749.9008, mean_absolute_error: 0.1271, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.881, predictive_accuracy: 0.881, prior_entropy: 1, recall: 0.881, relative_absolute_error: 0.2541, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3035, root_relative_squared_error: 0.6071, scimark_benchmark: 902.4773, usercpu_time_millis: 380, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8598, f_measure: 0.7615, kappa: 0.5331, kb_relative_information_score: 438.8288, mean_absolute_error: 0.2939, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.7927, predictive_accuracy: 0.767, prior_entropy: 1, recall: 0.767, relative_absolute_error: 0.5878, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.403, root_relative_squared_error: 0.806, scimark_benchmark: 902.4773, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9497, f_measure: 0.871, kappa: 0.742, kb_relative_information_score: 741.3009, mean_absolute_error: 0.1301, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.871, predictive_accuracy: 0.871, prior_entropy: 1, recall: 0.871, relative_absolute_error: 0.2602, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3311, root_relative_squared_error: 0.6622, scimark_benchmark: 868.2731, usercpu_time_millis: 690, usercpu_time_millis_training: 690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8902, f_measure: 0.884, kappa: 0.768, kb_relative_information_score: 767.3546, mean_absolute_error: 0.1163, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.884, predictive_accuracy: 0.884, prior_entropy: 1, recall: 0.884, relative_absolute_error: 0.2327, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3402, root_relative_squared_error: 0.6803, scimark_benchmark: 770.3451, usercpu_time_millis: 3400, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 3260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9047, f_measure: 0.885, kappa: 0.77, kb_relative_information_score: 769.7518, mean_absolute_error: 0.1151, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.885, predictive_accuracy: 0.885, prior_entropy: 1, recall: 0.885, relative_absolute_error: 0.2303, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3372, root_relative_squared_error: 0.6745, scimark_benchmark: 1174.6686, usercpu_time_millis: 2980, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 2870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9653, f_measure: 0.889, kappa: 0.778, kb_relative_information_score: 777.3413, mean_absolute_error: 0.1115, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.889, predictive_accuracy: 0.889, prior_entropy: 1, recall: 0.889, relative_absolute_error: 0.223, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3087, root_relative_squared_error: 0.6174, scimark_benchmark: 933.8635, usercpu_time_millis: 2160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.844, f_measure: 0.844, kappa: 0.688, kb_relative_information_score: 687.9838, mean_absolute_error: 0.156, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.8441, predictive_accuracy: 0.844, prior_entropy: 1, recall: 0.844, relative_absolute_error: 0.312, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.395, root_relative_squared_error: 0.79, scimark_benchmark: 941.8057, usercpu_time_millis: 820, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8317, f_measure: 0.8315, kappa: 0.6638, kb_relative_information_score: 663.9825, mean_absolute_error: 0.168, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.8353, predictive_accuracy: 0.832, prior_entropy: 1, recall: 0.832, relative_absolute_error: 0.336, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4099, root_relative_squared_error: 0.8198, scimark_benchmark: 941.7954, usercpu_time_millis: 770, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8361, f_measure: 0.7535, kappa: 0.5083, kb_relative_information_score: 187.0553, mean_absolute_error: 0.4245, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.7563, predictive_accuracy: 0.754, prior_entropy: 1, recall: 0.754, relative_absolute_error: 0.8489, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4378, root_relative_squared_error: 0.8756, scimark_benchmark: 901.0726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9307, f_measure: 0.851, kappa: 0.702, kb_relative_information_score: 282.6602, mean_absolute_error: 0.385, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.8512, predictive_accuracy: 0.851, prior_entropy: 1, recall: 0.851, relative_absolute_error: 0.77, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3984, root_relative_squared_error: 0.7968, scimark_benchmark: 947.9494, usercpu_time_millis: 1110, usercpu_time_millis_training: 1110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8507, f_measure: 0.835, kappa: 0.6699, kb_relative_information_score: 620.2794, mean_absolute_error: 0.1968, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.8351, predictive_accuracy: 0.835, prior_entropy: 1, recall: 0.835, relative_absolute_error: 0.3937, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3865, root_relative_squared_error: 0.773, scimark_benchmark: 904.3001, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3367, kb_relative_information_score: 5.9485, mean_absolute_error: 0.497, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.253, predictive_accuracy: 0.503, prior_entropy: 1, recall: 0.503, relative_absolute_error: 0.994, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.705, root_relative_squared_error: 1.41, scimark_benchmark: 901.0726, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9227, f_measure: 0.834, kappa: 0.6679, kb_relative_information_score: 538.2019, mean_absolute_error: 0.2458, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.8341, predictive_accuracy: 0.834, prior_entropy: 1, recall: 0.834, relative_absolute_error: 0.4916, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3366, root_relative_squared_error: 0.6732, scimark_benchmark: 911.0478, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4958, f_measure: 0.3367, kb_relative_information_score: -0.0135, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.253, predictive_accuracy: 0.503, prior_entropy: 1, recall: 0.503, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 932.3943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9325, f_measure: 0.8519, kappa: 0.7039, kb_relative_information_score: 651.8447, mean_absolute_error: 0.1809, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.8531, predictive_accuracy: 0.852, prior_entropy: 1, recall: 0.852, relative_absolute_error: 0.3618, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3181, root_relative_squared_error: 0.6363, scimark_benchmark: 930.32, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9211, f_measure: 0.835, kappa: 0.67, kb_relative_information_score: 564.9126, mean_absolute_error: 0.2293, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.835, predictive_accuracy: 0.835, prior_entropy: 1, recall: 0.835, relative_absolute_error: 0.4586, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3389, root_relative_squared_error: 0.6778, scimark_benchmark: 947.9494, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.8419, kappa: 0.6841, kb_relative_information_score: 578.0246, mean_absolute_error: 0.2243, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.843, predictive_accuracy: 0.842, prior_entropy: 1, recall: 0.842, relative_absolute_error: 0.4485, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3335, root_relative_squared_error: 0.667, scimark_benchmark: 902.4773, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4958, f_measure: 0.3367, kb_relative_information_score: -0.0135, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.253, predictive_accuracy: 0.503, prior_entropy: 1, recall: 0.503, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 940.2922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9227, f_measure: 0.834, kappa: 0.6679, kb_relative_information_score: 538.2019, mean_absolute_error: 0.2458, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.8341, predictive_accuracy: 0.834, prior_entropy: 1, recall: 0.834, relative_absolute_error: 0.4916, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3366, root_relative_squared_error: 0.6732, scimark_benchmark: 931.2336, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9504, f_measure: 0.864, kappa: 0.728, kb_relative_information_score: 645.3578, mean_absolute_error: 0.1885, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.8641, predictive_accuracy: 0.864, prior_entropy: 1, recall: 0.864, relative_absolute_error: 0.377, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2994, root_relative_squared_error: 0.5988, scimark_benchmark: 947.9494, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9526, f_measure: 0.875, kappa: 0.75, kb_relative_information_score: 713.4088, mean_absolute_error: 0.1487, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.8751, predictive_accuracy: 0.875, prior_entropy: 1, recall: 0.875, relative_absolute_error: 0.2973, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3003, root_relative_squared_error: 0.6005, scimark_benchmark: 936.6206, usercpu_time_millis: 210, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8419, f_measure: 0.759, kappa: 0.5309, kb_relative_information_score: 495.3836, mean_absolute_error: 0.2573, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.796, predictive_accuracy: 0.765, prior_entropy: 1, recall: 0.765, relative_absolute_error: 0.5146, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4458, root_relative_squared_error: 0.8917, scimark_benchmark: 938.4278, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9034, f_measure: 0.8106, kappa: 0.6222, kb_relative_information_score: 604.022, mean_absolute_error: 0.2008, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.8144, predictive_accuracy: 0.811, prior_entropy: 1, recall: 0.811, relative_absolute_error: 0.4016, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3814, root_relative_squared_error: 0.7629, scimark_benchmark: 922.9039, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9281, f_measure: 0.836, kappa: 0.672, kb_relative_information_score: 661.5092, mean_absolute_error: 0.1716, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.836, predictive_accuracy: 0.836, prior_entropy: 1, recall: 0.836, relative_absolute_error: 0.3433, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3513, root_relative_squared_error: 0.7026, scimark_benchmark: 942.1229, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9492, f_measure: 0.87, kappa: 0.74, kb_relative_information_score: 730.3671, mean_absolute_error: 0.1367, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.87, predictive_accuracy: 0.87, prior_entropy: 1, recall: 0.87, relative_absolute_error: 0.2734, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3233, root_relative_squared_error: 0.6467, scimark_benchmark: 936.6206, usercpu_time_millis: 210, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.877, kappa: 0.754, kb_relative_information_score: 743.4835, mean_absolute_error: 0.1295, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.877, predictive_accuracy: 0.877, prior_entropy: 1, recall: 0.877, relative_absolute_error: 0.2591, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3229, root_relative_squared_error: 0.6458, scimark_benchmark: 911.3823, usercpu_time_millis: 480, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9553, f_measure: 0.875, kappa: 0.7499, kb_relative_information_score: 723.3759, mean_absolute_error: 0.143, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.8753, predictive_accuracy: 0.875, prior_entropy: 1, recall: 0.875, relative_absolute_error: 0.286, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2985, root_relative_squared_error: 0.597, scimark_benchmark: 894.7455, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9553, f_measure: 0.875, kappa: 0.7499, kb_relative_information_score: 723.3759, mean_absolute_error: 0.143, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.8753, predictive_accuracy: 0.875, prior_entropy: 1, recall: 0.875, relative_absolute_error: 0.286, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2985, root_relative_squared_error: 0.597, scimark_benchmark: 923.7642, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9553, f_measure: 0.875, kappa: 0.7499, kb_relative_information_score: 723.3759, mean_absolute_error: 0.143, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.8753, predictive_accuracy: 0.875, prior_entropy: 1, recall: 0.875, relative_absolute_error: 0.286, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2985, root_relative_squared_error: 0.597, scimark_benchmark: 941.7954, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9512, f_measure: 0.887, kappa: 0.774, kb_relative_information_score: 769.4139, mean_absolute_error: 0.1162, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.8872, predictive_accuracy: 0.887, prior_entropy: 1, recall: 0.887, relative_absolute_error: 0.2325, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3165, root_relative_squared_error: 0.633, scimark_benchmark: 945.6434, usercpu_time_millis: 150, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9569, f_measure: 0.888, kappa: 0.776, kb_relative_information_score: 773.8482, mean_absolute_error: 0.1133, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.888, predictive_accuracy: 0.888, prior_entropy: 1, recall: 0.888, relative_absolute_error: 0.2267, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3271, root_relative_squared_error: 0.6543, scimark_benchmark: 931.2336, usercpu_time_millis: 100, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8507, f_measure: 0.835, kappa: 0.6699, kb_relative_information_score: 620.2794, mean_absolute_error: 0.1968, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.8351, predictive_accuracy: 0.835, prior_entropy: 1, recall: 0.835, relative_absolute_error: 0.3937, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3865, root_relative_squared_error: 0.773, scimark_benchmark: 1605.6303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4958, f_measure: 0.3367, kb_relative_information_score: -0.0135, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.253, predictive_accuracy: 0.503, prior_entropy: 1, recall: 0.503, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1358.4955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8249, f_measure: 0.8249, kappa: 0.6499, kb_relative_information_score: 649.9818, mean_absolute_error: 0.175, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.8253, predictive_accuracy: 0.825, prior_entropy: 1, recall: 0.825, relative_absolute_error: 0.35, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4183, root_relative_squared_error: 0.8367, scimark_benchmark: 1353.5686, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6639, f_measure: 0.6639, kappa: 0.3279, kb_relative_information_score: 327.9651, mean_absolute_error: 0.336, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.664, predictive_accuracy: 0.664, prior_entropy: 1, recall: 0.664, relative_absolute_error: 0.672, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5797, root_relative_squared_error: 1.1593, scimark_benchmark: 1465.2979, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8643, f_measure: 0.819, kappa: 0.638, kb_relative_information_score: 581.146, mean_absolute_error: 0.217, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.819, predictive_accuracy: 0.819, prior_entropy: 1, recall: 0.819, relative_absolute_error: 0.434, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3862, root_relative_squared_error: 0.7724, scimark_benchmark: 1392.1129, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8999, f_measure: 0.9, kappa: 0.8, kb_relative_information_score: 799.9896, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.9003, predictive_accuracy: 0.9, prior_entropy: 1, recall: 0.9, relative_absolute_error: 0.2, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3162, root_relative_squared_error: 0.6325, scimark_benchmark: 935.5075, usercpu_time_millis: 120, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9493, f_measure: 0.8749, kappa: 0.7499, kb_relative_information_score: 592.1779, mean_absolute_error: 0.221, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.8758, predictive_accuracy: 0.875, prior_entropy: 1, recall: 0.875, relative_absolute_error: 0.4421, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3062, root_relative_squared_error: 0.6125, scimark_benchmark: 1342.5243, usercpu_time_millis: 480, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9504, f_measure: 0.864, kappa: 0.728, kb_relative_information_score: 645.3578, mean_absolute_error: 0.1885, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.8641, predictive_accuracy: 0.864, prior_entropy: 1, recall: 0.864, relative_absolute_error: 0.377, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2994, root_relative_squared_error: 0.5988, scimark_benchmark: 1321.8733, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9506, f_measure: 0.8759, kappa: 0.7519, kb_relative_information_score: 383.5499, mean_absolute_error: 0.3355, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.877, predictive_accuracy: 0.876, prior_entropy: 1, recall: 0.876, relative_absolute_error: 0.671, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3611, root_relative_squared_error: 0.7223, scimark_benchmark: 1341.7207, usercpu_time_millis: 540, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.82, kappa: 0.6401, kb_relative_information_score: 440.9473, mean_absolute_error: 0.2997, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.8205, predictive_accuracy: 0.82, prior_entropy: 1, recall: 0.82, relative_absolute_error: 0.5994, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3578, root_relative_squared_error: 0.7156, scimark_benchmark: 918.6005, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9184, f_measure: 0.821, kappa: 0.6419, kb_relative_information_score: 541.7956, mean_absolute_error: 0.2419, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.8211, predictive_accuracy: 0.821, prior_entropy: 1, recall: 0.821, relative_absolute_error: 0.4839, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.342, root_relative_squared_error: 0.6841, scimark_benchmark: 899.5042, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9184, f_measure: 0.821, kappa: 0.6419, kb_relative_information_score: 541.7956, mean_absolute_error: 0.2419, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.8211, predictive_accuracy: 0.821, prior_entropy: 1, recall: 0.821, relative_absolute_error: 0.4839, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.342, root_relative_squared_error: 0.6841, scimark_benchmark: 1342.2905, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6813, f_measure: 0.686, kappa: 0.3719, kb_relative_information_score: 180.8661, mean_absolute_error: 0.4253, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.686, predictive_accuracy: 0.686, prior_entropy: 1, recall: 0.686, relative_absolute_error: 0.8506, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4642, root_relative_squared_error: 0.9284, scimark_benchmark: 1464.9318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8407, f_measure: 0.821, kappa: 0.642, kb_relative_information_score: 595.4012, mean_absolute_error: 0.2099, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.821, predictive_accuracy: 0.821, prior_entropy: 1, recall: 0.821, relative_absolute_error: 0.4199, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3953, root_relative_squared_error: 0.7906, scimark_benchmark: 1339.4189, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.82, kappa: 0.6401, kb_relative_information_score: 440.9473, mean_absolute_error: 0.2997, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.8205, predictive_accuracy: 0.82, prior_entropy: 1, recall: 0.82, relative_absolute_error: 0.5994, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3578, root_relative_squared_error: 0.7156, scimark_benchmark: 1326.6647, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8949, f_measure: 0.84, kappa: 0.68, kb_relative_information_score: 464.2668, mean_absolute_error: 0.2853, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.84, predictive_accuracy: 0.84, prior_entropy: 1, recall: 0.84, relative_absolute_error: 0.5706, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3659, root_relative_squared_error: 0.7319, scimark_benchmark: 1347.3845, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7204, f_measure: 0.6821, kappa: 0.3728, kb_relative_information_score: 219.308, mean_absolute_error: 0.4037, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.6966, predictive_accuracy: 0.686, prior_entropy: 1, recall: 0.686, relative_absolute_error: 0.8074, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4583, root_relative_squared_error: 0.9167, scimark_benchmark: 1329.0992, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.852, f_measure: 0.852, kappa: 0.704, kb_relative_information_score: 703.9846, mean_absolute_error: 0.148, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.852, predictive_accuracy: 0.852, prior_entropy: 1, recall: 0.852, relative_absolute_error: 0.296, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3847, root_relative_squared_error: 0.7694, scimark_benchmark: 944.4621, usercpu_time_millis: 230, usercpu_time_millis_testing: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9202, f_measure: 0.85, kappa: 0.7, kb_relative_information_score: 580.3018, mean_absolute_error: 0.2233, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.85, predictive_accuracy: 0.85, prior_entropy: 1, recall: 0.85, relative_absolute_error: 0.4466, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3328, root_relative_squared_error: 0.6657, scimark_benchmark: 923.6051, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9268, f_measure: 0.853, kappa: 0.706, kb_relative_information_score: 562.9801, mean_absolute_error: 0.2334, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.8531, predictive_accuracy: 0.853, prior_entropy: 1, recall: 0.853, relative_absolute_error: 0.4669, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3299, root_relative_squared_error: 0.6598, scimark_benchmark: 1315.4655, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8482, f_measure: 0.8479, kappa: 0.6961, kb_relative_information_score: 695.9842, mean_absolute_error: 0.152, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.8491, predictive_accuracy: 0.848, prior_entropy: 1, recall: 0.848, relative_absolute_error: 0.304, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3899, root_relative_squared_error: 0.7798, scimark_benchmark: 1413.089, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9504, f_measure: 0.879, kappa: 0.758, kb_relative_information_score: 505.2609, mean_absolute_error: 0.2708, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.8791, predictive_accuracy: 0.879, prior_entropy: 1, recall: 0.879, relative_absolute_error: 0.5417, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3245, root_relative_squared_error: 0.649, scimark_benchmark: 1301.9176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9504, f_measure: 0.879, kappa: 0.758, kb_relative_information_score: 505.3139, mean_absolute_error: 0.2708, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.8791, predictive_accuracy: 0.879, prior_entropy: 1, recall: 0.879, relative_absolute_error: 0.5417, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3245, root_relative_squared_error: 0.649, scimark_benchmark: 1339.944, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8871, f_measure: 0.84, kappa: 0.68, kb_relative_information_score: 557.0167, mean_absolute_error: 0.237, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.8401, predictive_accuracy: 0.84, prior_entropy: 1, recall: 0.84, relative_absolute_error: 0.474, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3581, root_relative_squared_error: 0.7163, scimark_benchmark: 1386.5717, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8627, f_measure: 0.834, kappa: 0.668, kb_relative_information_score: 620.1572, mean_absolute_error: 0.1962, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.834, predictive_accuracy: 0.834, prior_entropy: 1, recall: 0.834, relative_absolute_error: 0.3923, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.377, root_relative_squared_error: 0.754, scimark_benchmark: 934.4732, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8627, f_measure: 0.834, kappa: 0.668, kb_relative_information_score: 620.1572, mean_absolute_error: 0.1962, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.834, predictive_accuracy: 0.834, prior_entropy: 1, recall: 0.834, relative_absolute_error: 0.3923, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.377, root_relative_squared_error: 0.754, scimark_benchmark: 1341.4524, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9455, f_measure: 0.8629, kappa: 0.7259, kb_relative_information_score: 584.4426, mean_absolute_error: 0.2242, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.8635, predictive_accuracy: 0.863, prior_entropy: 1, recall: 0.863, relative_absolute_error: 0.4484, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3107, root_relative_squared_error: 0.6215, scimark_benchmark: 1275.9462, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9227, f_measure: 0.834, kappa: 0.6679, kb_relative_information_score: 538.2019, mean_absolute_error: 0.2458, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.8341, predictive_accuracy: 0.834, prior_entropy: 1, recall: 0.834, relative_absolute_error: 0.4916, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3366, root_relative_squared_error: 0.6732, scimark_benchmark: 1332.6143, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9537, f_measure: 0.874, kappa: 0.748, kb_relative_information_score: 683.641, mean_absolute_error: 0.1663, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.874, predictive_accuracy: 0.874, prior_entropy: 1, recall: 0.874, relative_absolute_error: 0.3326, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2941, root_relative_squared_error: 0.5881, scimark_benchmark: 1349.1028, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9554, f_measure: 0.88, kappa: 0.76, kb_relative_information_score: 708.4628, mean_absolute_error: 0.1521, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.8801, predictive_accuracy: 0.88, prior_entropy: 1, recall: 0.88, relative_absolute_error: 0.3042, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.5871, scimark_benchmark: 1335.5424, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.93, f_measure: 0.8469, kappa: 0.6939, kb_relative_information_score: 378.4456, mean_absolute_error: 0.3363, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.8477, predictive_accuracy: 0.847, prior_entropy: 1, recall: 0.847, relative_absolute_error: 0.6726, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.367, root_relative_squared_error: 0.7339, scimark_benchmark: 1292.1375, usercpu_time_millis: 30, usercpu_time_millis_training: 30,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs