Task
Supervised Classification on solar-flare

Supervised Classification on solar-flare

Task 2992 Supervised Classification solar-flare 176 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.918, f_measure: 0.7274, kappa: 0.6702, kb_relative_information_score: 7133.5936, mean_absolute_error: 0.1041, mean_prior_absolute_error: 0.2619, number_of_instances: 10660, precision: 0.7233, predictive_accuracy: 0.7443, prior_entropy: 2.3647, recall: 0.7443, relative_absolute_error: 0.3976, root_mean_prior_squared_error: 0.3618, root_mean_squared_error: 0.2376, root_relative_squared_error: 0.6566, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9354, f_measure: 0.7259, kappa: 0.6693, kb_relative_information_score: 7169.2773, mean_absolute_error: 0.1051, mean_prior_absolute_error: 0.2619, number_of_instances: 10660, precision: 0.721, predictive_accuracy: 0.7438, prior_entropy: 2.3647, recall: 0.7438, relative_absolute_error: 0.4011, root_mean_prior_squared_error: 0.3618, root_mean_squared_error: 0.2318, root_relative_squared_error: 0.6405, scimark_benchmark: 851.2074, usercpu_time_millis: 300, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8393, f_measure: 0.7166, kappa: 0.6698, kb_relative_information_score: 6950.2858, mean_absolute_error: 0.0848, mean_prior_absolute_error: 0.2619, number_of_instances: 10660, precision: 0.7249, predictive_accuracy: 0.7455, prior_entropy: 2.3647, recall: 0.7455, relative_absolute_error: 0.3239, root_mean_prior_squared_error: 0.3618, root_mean_squared_error: 0.2913, root_relative_squared_error: 0.805, scimark_benchmark: 931.771, usercpu_time_millis: 280, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.938, f_measure: 0.7426, kappa: 0.6805, kb_relative_information_score: 7320.1498, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.2619, number_of_instances: 10660, precision: 0.7407, predictive_accuracy: 0.7508, prior_entropy: 2.3647, recall: 0.7508, relative_absolute_error: 0.3732, root_mean_prior_squared_error: 0.3618, root_mean_squared_error: 0.2328, root_relative_squared_error: 0.6434, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.929, f_measure: 0.7253, kappa: 0.6663, kb_relative_information_score: 7127.082, mean_absolute_error: 0.1044, mean_prior_absolute_error: 0.2619, number_of_instances: 10660, precision: 0.724, predictive_accuracy: 0.7413, prior_entropy: 2.3647, recall: 0.7413, relative_absolute_error: 0.3987, root_mean_prior_squared_error: 0.3618, root_mean_squared_error: 0.2348, root_relative_squared_error: 0.6489, scimark_benchmark: 941.6675, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.938, f_measure: 0.7426, kappa: 0.6805, kb_relative_information_score: 7320.1498, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.2619, number_of_instances: 10660, precision: 0.7407, predictive_accuracy: 0.7508, prior_entropy: 2.3647, recall: 0.7508, relative_absolute_error: 0.3732, root_mean_prior_squared_error: 0.3618, root_mean_squared_error: 0.2328, root_relative_squared_error: 0.6434, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9198, f_measure: 0.7232, kappa: 0.6558, kb_relative_information_score: 7050.7719, mean_absolute_error: 0.1043, mean_prior_absolute_error: 0.2619, number_of_instances: 10660, precision: 0.7204, predictive_accuracy: 0.7315, prior_entropy: 2.3647, recall: 0.7315, relative_absolute_error: 0.3982, root_mean_prior_squared_error: 0.3618, root_mean_squared_error: 0.2432, root_relative_squared_error: 0.672, scimark_benchmark: 931.771, usercpu_time_millis: 170, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8393, f_measure: 0.7166, kappa: 0.6698, kb_relative_information_score: 6950.2858, mean_absolute_error: 0.0848, mean_prior_absolute_error: 0.2619, number_of_instances: 10660, precision: 0.7249, predictive_accuracy: 0.7455, prior_entropy: 2.3647, recall: 0.7455, relative_absolute_error: 0.3239, root_mean_prior_squared_error: 0.3618, root_mean_squared_error: 0.2913, root_relative_squared_error: 0.805, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9337, f_measure: 0.7308, kappa: 0.6659, kb_relative_information_score: 7203.021, mean_absolute_error: 0.0996, mean_prior_absolute_error: 0.2619, number_of_instances: 10660, precision: 0.728, predictive_accuracy: 0.7395, prior_entropy: 2.3647, recall: 0.7395, relative_absolute_error: 0.3801, root_mean_prior_squared_error: 0.3618, root_mean_squared_error: 0.2389, root_relative_squared_error: 0.6604, scimark_benchmark: 974.2014, usercpu_time_millis: 640, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9198, f_measure: 0.7232, kappa: 0.6558, kb_relative_information_score: 7050.7719, mean_absolute_error: 0.1043, mean_prior_absolute_error: 0.2619, number_of_instances: 10660, precision: 0.7204, predictive_accuracy: 0.7315, prior_entropy: 2.3647, recall: 0.7315, relative_absolute_error: 0.3982, root_mean_prior_squared_error: 0.3618, root_mean_squared_error: 0.2432, root_relative_squared_error: 0.672, scimark_benchmark: 947.1781, usercpu_time_millis: 210, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.918, f_measure: 0.7274, kappa: 0.6702, kb_relative_information_score: 7133.5936, mean_absolute_error: 0.1041, mean_prior_absolute_error: 0.2619, number_of_instances: 10660, precision: 0.7233, predictive_accuracy: 0.7443, prior_entropy: 2.3647, recall: 0.7443, relative_absolute_error: 0.3976, root_mean_prior_squared_error: 0.3618, root_mean_squared_error: 0.2376, root_relative_squared_error: 0.6566, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9354, f_measure: 0.7259, kappa: 0.6693, kb_relative_information_score: 7169.2773, mean_absolute_error: 0.1051, mean_prior_absolute_error: 0.2619, number_of_instances: 10660, precision: 0.721, predictive_accuracy: 0.7438, prior_entropy: 2.3647, recall: 0.7438, relative_absolute_error: 0.4011, root_mean_prior_squared_error: 0.3618, root_mean_squared_error: 0.2318, root_relative_squared_error: 0.6405, scimark_benchmark: 906.5979, usercpu_time_millis: 420, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8393, f_measure: 0.7166, kappa: 0.6698, kb_relative_information_score: 6950.2858, mean_absolute_error: 0.0848, mean_prior_absolute_error: 0.2619, number_of_instances: 10660, precision: 0.7249, predictive_accuracy: 0.7455, prior_entropy: 2.3647, recall: 0.7455, relative_absolute_error: 0.3239, root_mean_prior_squared_error: 0.3618, root_mean_squared_error: 0.2913, root_relative_squared_error: 0.805, scimark_benchmark: 908.9569, usercpu_time_millis: 380, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8393, f_measure: 0.7166, kappa: 0.6698, kb_relative_information_score: 6950.2858, mean_absolute_error: 0.0848, mean_prior_absolute_error: 0.2619, number_of_instances: 10660, precision: 0.7249, predictive_accuracy: 0.7455, prior_entropy: 2.3647, recall: 0.7455, relative_absolute_error: 0.3239, root_mean_prior_squared_error: 0.3618, root_mean_squared_error: 0.2913, root_relative_squared_error: 0.805, scimark_benchmark: 934.5964, usercpu_time_millis: 270, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9371, f_measure: 0.7388, kappa: 0.6743, kb_relative_information_score: 7307.3799, mean_absolute_error: 0.0977, mean_prior_absolute_error: 0.2619, number_of_instances: 10660, precision: 0.7366, predictive_accuracy: 0.7455, prior_entropy: 2.3647, recall: 0.7455, relative_absolute_error: 0.3732, root_mean_prior_squared_error: 0.3618, root_mean_squared_error: 0.2372, root_relative_squared_error: 0.6556, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.938, f_measure: 0.7426, kappa: 0.6805, kb_relative_information_score: 7320.1498, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.2619, number_of_instances: 10660, precision: 0.7407, predictive_accuracy: 0.7508, prior_entropy: 2.3647, recall: 0.7508, relative_absolute_error: 0.3732, root_mean_prior_squared_error: 0.3618, root_mean_squared_error: 0.2328, root_relative_squared_error: 0.6434, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.938, f_measure: 0.7426, kappa: 0.6805, kb_relative_information_score: 7320.1498, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.2619, number_of_instances: 10660, precision: 0.7407, predictive_accuracy: 0.7508, prior_entropy: 2.3647, recall: 0.7508, relative_absolute_error: 0.3732, root_mean_prior_squared_error: 0.3618, root_mean_squared_error: 0.2328, root_relative_squared_error: 0.6434, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.938, f_measure: 0.7426, kappa: 0.6805, kb_relative_information_score: 7320.1498, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.2619, number_of_instances: 10660, precision: 0.7407, predictive_accuracy: 0.7508, prior_entropy: 2.3647, recall: 0.7508, relative_absolute_error: 0.3732, root_mean_prior_squared_error: 0.3618, root_mean_squared_error: 0.2328, root_relative_squared_error: 0.6434, scimark_benchmark: 903.2737, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.929, f_measure: 0.7253, kappa: 0.6663, kb_relative_information_score: 7127.082, mean_absolute_error: 0.1044, mean_prior_absolute_error: 0.2619, number_of_instances: 10660, precision: 0.724, predictive_accuracy: 0.7413, prior_entropy: 2.3647, recall: 0.7413, relative_absolute_error: 0.3987, root_mean_prior_squared_error: 0.3618, root_mean_squared_error: 0.2348, root_relative_squared_error: 0.6489, scimark_benchmark: 941.4991, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.938, f_measure: 0.7426, kappa: 0.6805, kb_relative_information_score: 7320.1498, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.2619, number_of_instances: 10660, precision: 0.7407, predictive_accuracy: 0.7508, prior_entropy: 2.3647, recall: 0.7508, relative_absolute_error: 0.3732, root_mean_prior_squared_error: 0.3618, root_mean_squared_error: 0.2328, root_relative_squared_error: 0.6434, scimark_benchmark: 944.0133, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9337, f_measure: 0.7308, kappa: 0.6659, kb_relative_information_score: 7203.021, mean_absolute_error: 0.0996, mean_prior_absolute_error: 0.2619, number_of_instances: 10660, precision: 0.728, predictive_accuracy: 0.7395, prior_entropy: 2.3647, recall: 0.7395, relative_absolute_error: 0.3801, root_mean_prior_squared_error: 0.3618, root_mean_squared_error: 0.2389, root_relative_squared_error: 0.6604, scimark_benchmark: 936.3213, usercpu_time_millis: 410, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9198, f_measure: 0.7232, kappa: 0.6558, kb_relative_information_score: 7050.7719, mean_absolute_error: 0.1043, mean_prior_absolute_error: 0.2619, number_of_instances: 10660, precision: 0.7204, predictive_accuracy: 0.7315, prior_entropy: 2.3647, recall: 0.7315, relative_absolute_error: 0.3982, root_mean_prior_squared_error: 0.3618, root_mean_squared_error: 0.2432, root_relative_squared_error: 0.672, scimark_benchmark: 1051.249, usercpu_time_millis: 290, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9314, f_measure: 0.7227, kappa: 0.6606, kb_relative_information_score: 7086.844, mean_absolute_error: 0.1071, mean_prior_absolute_error: 0.2619, number_of_instances: 10660, precision: 0.7223, predictive_accuracy: 0.7366, prior_entropy: 2.3647, recall: 0.7366, relative_absolute_error: 0.4089, root_mean_prior_squared_error: 0.3618, root_mean_squared_error: 0.2326, root_relative_squared_error: 0.643, scimark_benchmark: 941.4991, usercpu_time_millis: 11640, usercpu_time_millis_testing: 3990, usercpu_time_millis_training: 7650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9312, f_measure: 0.7231, kappa: 0.6607, kb_relative_information_score: 7082.0246, mean_absolute_error: 0.1072, mean_prior_absolute_error: 0.2619, number_of_instances: 10660, precision: 0.7227, predictive_accuracy: 0.7366, prior_entropy: 2.3647, recall: 0.7366, relative_absolute_error: 0.4093, root_mean_prior_squared_error: 0.3618, root_mean_squared_error: 0.2327, root_relative_squared_error: 0.6432, scimark_benchmark: 942.2392, usercpu_time_millis: 5260, usercpu_time_millis_testing: 1550, usercpu_time_millis_training: 3710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9313, f_measure: 0.725, kappa: 0.6622, kb_relative_information_score: 7077.335, mean_absolute_error: 0.1074, mean_prior_absolute_error: 0.2619, number_of_instances: 10660, precision: 0.725, predictive_accuracy: 0.7377, prior_entropy: 2.3647, recall: 0.7377, relative_absolute_error: 0.4099, root_mean_prior_squared_error: 0.3618, root_mean_squared_error: 0.2329, root_relative_squared_error: 0.6437, scimark_benchmark: 922.613, usercpu_time_millis: 2300, usercpu_time_millis_testing: 480, usercpu_time_millis_training: 1820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9308, f_measure: 0.7249, kappa: 0.6622, kb_relative_information_score: 7076.0253, mean_absolute_error: 0.1071, mean_prior_absolute_error: 0.2619, number_of_instances: 10660, precision: 0.7255, predictive_accuracy: 0.7377, prior_entropy: 2.3647, recall: 0.7377, relative_absolute_error: 0.4087, root_mean_prior_squared_error: 0.3618, root_mean_squared_error: 0.2335, root_relative_squared_error: 0.6454, scimark_benchmark: 935.0213, usercpu_time_millis: 1080, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9294, f_measure: 0.7247, kappa: 0.6618, kb_relative_information_score: 7068.427, mean_absolute_error: 0.1069, mean_prior_absolute_error: 0.2619, number_of_instances: 10660, precision: 0.7244, predictive_accuracy: 0.7372, prior_entropy: 2.3647, recall: 0.7372, relative_absolute_error: 0.408, root_mean_prior_squared_error: 0.3618, root_mean_squared_error: 0.2343, root_relative_squared_error: 0.6476, scimark_benchmark: 936.7184, usercpu_time_millis: 710, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.1471, kb_relative_information_score: 4.8976, mean_absolute_error: 0.262, mean_prior_absolute_error: 0.2619, number_of_instances: 10660, precision: 0.0964, predictive_accuracy: 0.3105, prior_entropy: 2.3647, recall: 0.3105, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3618, root_mean_squared_error: 0.3618, root_relative_squared_error: 1, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7563, f_measure: 0.4205, kappa: 0.3788, kb_relative_information_score: 403.107, mean_absolute_error: 0.2746, mean_prior_absolute_error: 0.2619, number_of_instances: 10660, precision: 0.3834, predictive_accuracy: 0.5347, prior_entropy: 2.3647, recall: 0.5347, relative_absolute_error: 1.0482, root_mean_prior_squared_error: 0.3618, root_mean_squared_error: 0.3684, root_relative_squared_error: 1.0183, scimark_benchmark: 936.7286, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7563, f_measure: 0.4205, kappa: 0.3788, kb_relative_information_score: 403.107, mean_absolute_error: 0.2746, mean_prior_absolute_error: 0.2619, number_of_instances: 10660, precision: 0.3834, predictive_accuracy: 0.5347, prior_entropy: 2.3647, recall: 0.5347, relative_absolute_error: 1.0482, root_mean_prior_squared_error: 0.3618, root_mean_squared_error: 0.3684, root_relative_squared_error: 1.0183, scimark_benchmark: 935.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7563, f_measure: 0.4205, kappa: 0.3788, kb_relative_information_score: 403.107, mean_absolute_error: 0.2746, mean_prior_absolute_error: 0.2619, number_of_instances: 10660, precision: 0.3834, predictive_accuracy: 0.5347, prior_entropy: 2.3647, recall: 0.5347, relative_absolute_error: 1.0482, root_mean_prior_squared_error: 0.3618, root_mean_squared_error: 0.3684, root_relative_squared_error: 1.0183, scimark_benchmark: 940.0055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7563, f_measure: 0.4205, kappa: 0.3788, kb_relative_information_score: 403.107, mean_absolute_error: 0.2746, mean_prior_absolute_error: 0.2619, number_of_instances: 10660, precision: 0.3834, predictive_accuracy: 0.5347, prior_entropy: 2.3647, recall: 0.5347, relative_absolute_error: 1.0482, root_mean_prior_squared_error: 0.3618, root_mean_squared_error: 0.3684, root_relative_squared_error: 1.0183, scimark_benchmark: 935.6052, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7563, f_measure: 0.4205, kappa: 0.3788, kb_relative_information_score: 403.107, mean_absolute_error: 0.2746, mean_prior_absolute_error: 0.2619, number_of_instances: 10660, precision: 0.3834, predictive_accuracy: 0.5347, prior_entropy: 2.3647, recall: 0.5347, relative_absolute_error: 1.0482, root_mean_prior_squared_error: 0.3618, root_mean_squared_error: 0.3684, root_relative_squared_error: 1.0183, scimark_benchmark: 935.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1471, kb_relative_information_score: 1515.2031, mean_absolute_error: 0.2298, mean_prior_absolute_error: 0.2619, number_of_instances: 10660, precision: 0.0964, predictive_accuracy: 0.3105, prior_entropy: 2.3647, recall: 0.3105, relative_absolute_error: 0.8774, root_mean_prior_squared_error: 0.3618, root_mean_squared_error: 0.4794, root_relative_squared_error: 1.3249, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9314, f_measure: 0.7213, kappa: 0.668, kb_relative_information_score: 6909.716, mean_absolute_error: 0.1124, mean_prior_absolute_error: 0.2619, number_of_instances: 10660, precision: 0.7282, predictive_accuracy: 0.7435, prior_entropy: 2.3647, recall: 0.7435, relative_absolute_error: 0.4293, root_mean_prior_squared_error: 0.3618, root_mean_squared_error: 0.2335, root_relative_squared_error: 0.6454, scimark_benchmark: 926.5859, usercpu_time_millis: 110, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7813, f_measure: 0.4205, kappa: 0.3788, kb_relative_information_score: 4028.3671, mean_absolute_error: 0.1728, mean_prior_absolute_error: 0.2619, number_of_instances: 10660, precision: 0.3834, predictive_accuracy: 0.5347, prior_entropy: 2.3647, recall: 0.5347, relative_absolute_error: 0.6596, root_mean_prior_squared_error: 0.3618, root_mean_squared_error: 0.2939, root_relative_squared_error: 0.8123, scimark_benchmark: 931.7994, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9362, f_measure: 0.7365, kappa: 0.6823, kb_relative_information_score: 7119.303, mean_absolute_error: 0.1056, mean_prior_absolute_error: 0.2619, number_of_instances: 10660, precision: 0.7399, predictive_accuracy: 0.7539, prior_entropy: 2.3647, recall: 0.7539, relative_absolute_error: 0.4033, root_mean_prior_squared_error: 0.3618, root_mean_squared_error: 0.2299, root_relative_squared_error: 0.6355, scimark_benchmark: 1345.7919, usercpu_time_millis: 820, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8393, f_measure: 0.7166, kappa: 0.6698, kb_relative_information_score: 6950.2858, mean_absolute_error: 0.0848, mean_prior_absolute_error: 0.2619, number_of_instances: 10660, precision: 0.7249, predictive_accuracy: 0.7455, prior_entropy: 2.3647, recall: 0.7455, relative_absolute_error: 0.3239, root_mean_prior_squared_error: 0.3618, root_mean_squared_error: 0.2913, root_relative_squared_error: 0.805, scimark_benchmark: 1349.9643, usercpu_time_millis: 290, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8393, f_measure: 0.7166, kappa: 0.6698, kb_relative_information_score: 6950.2858, mean_absolute_error: 0.0848, mean_prior_absolute_error: 0.2619, number_of_instances: 10660, precision: 0.7249, predictive_accuracy: 0.7455, prior_entropy: 2.3647, recall: 0.7455, relative_absolute_error: 0.3239, root_mean_prior_squared_error: 0.3618, root_mean_squared_error: 0.2913, root_relative_squared_error: 0.805, scimark_benchmark: 1292.1745, usercpu_time_millis: 290, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9371, f_measure: 0.7388, kappa: 0.6743, kb_relative_information_score: 7307.3799, mean_absolute_error: 0.0977, mean_prior_absolute_error: 0.2619, number_of_instances: 10660, precision: 0.7366, predictive_accuracy: 0.7455, prior_entropy: 2.3647, recall: 0.7455, relative_absolute_error: 0.3732, root_mean_prior_squared_error: 0.3618, root_mean_squared_error: 0.2372, root_relative_squared_error: 0.6556, scimark_benchmark: 1345.0202, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.938, f_measure: 0.7426, kappa: 0.6805, kb_relative_information_score: 7320.1498, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.2619, number_of_instances: 10660, precision: 0.7407, predictive_accuracy: 0.7508, prior_entropy: 2.3647, recall: 0.7508, relative_absolute_error: 0.3732, root_mean_prior_squared_error: 0.3618, root_mean_squared_error: 0.2328, root_relative_squared_error: 0.6434, scimark_benchmark: 1334.9442, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.938, f_measure: 0.7426, kappa: 0.6805, kb_relative_information_score: 7320.1498, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.2619, number_of_instances: 10660, precision: 0.7407, predictive_accuracy: 0.7508, prior_entropy: 2.3647, recall: 0.7508, relative_absolute_error: 0.3732, root_mean_prior_squared_error: 0.3618, root_mean_squared_error: 0.2328, root_relative_squared_error: 0.6434, scimark_benchmark: 1371.174, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.938, f_measure: 0.7426, kappa: 0.6805, kb_relative_information_score: 7320.1498, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.2619, number_of_instances: 10660, precision: 0.7407, predictive_accuracy: 0.7508, prior_entropy: 2.3647, recall: 0.7508, relative_absolute_error: 0.3732, root_mean_prior_squared_error: 0.3618, root_mean_squared_error: 0.2328, root_relative_squared_error: 0.6434, scimark_benchmark: 1343.7262, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.918, f_measure: 0.7274, kappa: 0.6702, kb_relative_information_score: 7133.5936, mean_absolute_error: 0.1041, mean_prior_absolute_error: 0.2619, number_of_instances: 10660, precision: 0.7233, predictive_accuracy: 0.7443, prior_entropy: 2.3647, recall: 0.7443, relative_absolute_error: 0.3976, root_mean_prior_squared_error: 0.3618, root_mean_squared_error: 0.2376, root_relative_squared_error: 0.6566, scimark_benchmark: 1345.0202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.938, f_measure: 0.7426, kappa: 0.6805, kb_relative_information_score: 7320.1498, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.2619, number_of_instances: 10660, precision: 0.7407, predictive_accuracy: 0.7508, prior_entropy: 2.3647, recall: 0.7508, relative_absolute_error: 0.3732, root_mean_prior_squared_error: 0.3618, root_mean_squared_error: 0.2328, root_relative_squared_error: 0.6434, scimark_benchmark: 1337.1928, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8393, f_measure: 0.7166, kappa: 0.6698, kb_relative_information_score: 6950.2858, mean_absolute_error: 0.0848, mean_prior_absolute_error: 0.2619, number_of_instances: 10660, precision: 0.7249, predictive_accuracy: 0.7455, prior_entropy: 2.3647, recall: 0.7455, relative_absolute_error: 0.3239, root_mean_prior_squared_error: 0.3618, root_mean_squared_error: 0.2913, root_relative_squared_error: 0.805, scimark_benchmark: 1260.1387, usercpu_time_millis: 290, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9337, f_measure: 0.7308, kappa: 0.6659, kb_relative_information_score: 7203.021, mean_absolute_error: 0.0996, mean_prior_absolute_error: 0.2619, number_of_instances: 10660, precision: 0.728, predictive_accuracy: 0.7395, prior_entropy: 2.3647, recall: 0.7395, relative_absolute_error: 0.3801, root_mean_prior_squared_error: 0.3618, root_mean_squared_error: 0.2389, root_relative_squared_error: 0.6604, scimark_benchmark: 1325.5735, usercpu_time_millis: 640, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.938, f_measure: 0.7426, kappa: 0.6805, kb_relative_information_score: 7320.1498, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.2619, number_of_instances: 10660, precision: 0.7407, predictive_accuracy: 0.7508, prior_entropy: 2.3647, recall: 0.7508, relative_absolute_error: 0.3732, root_mean_prior_squared_error: 0.3618, root_mean_squared_error: 0.2328, root_relative_squared_error: 0.6434, scimark_benchmark: 1322.7257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9198, f_measure: 0.7232, kappa: 0.6558, kb_relative_information_score: 7050.7719, mean_absolute_error: 0.1043, mean_prior_absolute_error: 0.2619, number_of_instances: 10660, precision: 0.7204, predictive_accuracy: 0.7315, prior_entropy: 2.3647, recall: 0.7315, relative_absolute_error: 0.3982, root_mean_prior_squared_error: 0.3618, root_mean_squared_error: 0.2432, root_relative_squared_error: 0.672, scimark_benchmark: 942.9708, usercpu_time_millis: 190, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.938, f_measure: 0.7426, kappa: 0.6805, kb_relative_information_score: 7320.1498, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.2619, number_of_instances: 10660, precision: 0.7407, predictive_accuracy: 0.7508, prior_entropy: 2.3647, recall: 0.7508, relative_absolute_error: 0.3732, root_mean_prior_squared_error: 0.3618, root_mean_squared_error: 0.2328, root_relative_squared_error: 0.6434, scimark_benchmark: 1288.1375, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.918, f_measure: 0.7274, kappa: 0.6702, kb_relative_information_score: 7133.5936, mean_absolute_error: 0.1041, mean_prior_absolute_error: 0.2619, number_of_instances: 10660, precision: 0.7233, predictive_accuracy: 0.7443, prior_entropy: 2.3647, recall: 0.7443, relative_absolute_error: 0.3976, root_mean_prior_squared_error: 0.3618, root_mean_squared_error: 0.2376, root_relative_squared_error: 0.6566, scimark_benchmark: 1371.9645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.938, f_measure: 0.7426, kappa: 0.6805, kb_relative_information_score: 7320.1498, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.2619, number_of_instances: 10660, precision: 0.7407, predictive_accuracy: 0.7508, prior_entropy: 2.3647, recall: 0.7508, relative_absolute_error: 0.3732, root_mean_prior_squared_error: 0.3618, root_mean_squared_error: 0.2328, root_relative_squared_error: 0.6434, scimark_benchmark: 1322.7383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8498, f_measure: 0.744, kappa: 0.6891, kb_relative_information_score: 7185.7156, mean_absolute_error: 0.0803, mean_prior_absolute_error: 0.2619, number_of_instances: 10660, precision: 0.7481, predictive_accuracy: 0.759, prior_entropy: 2.3647, recall: 0.759, relative_absolute_error: 0.3067, root_mean_prior_squared_error: 0.3618, root_mean_squared_error: 0.2834, root_relative_squared_error: 0.7833, scimark_benchmark: 1339.8573, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9284, f_measure: 0.7245, kappa: 0.6643, kb_relative_information_score: 6344.9271, mean_absolute_error: 0.1312, mean_prior_absolute_error: 0.2619, number_of_instances: 10660, precision: 0.725, predictive_accuracy: 0.7393, prior_entropy: 2.3647, recall: 0.7393, relative_absolute_error: 0.5007, root_mean_prior_squared_error: 0.3618, root_mean_squared_error: 0.2429, root_relative_squared_error: 0.6712, scimark_benchmark: 1337.6765, usercpu_time_millis: 2570, usercpu_time_millis_testing: 2570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9164, f_measure: 0.7212, kappa: 0.6665, kb_relative_information_score: 7046.5624, mean_absolute_error: 0.1062, mean_prior_absolute_error: 0.2619, number_of_instances: 10660, precision: 0.7267, predictive_accuracy: 0.7417, prior_entropy: 2.3647, recall: 0.7417, relative_absolute_error: 0.4053, root_mean_prior_squared_error: 0.3618, root_mean_squared_error: 0.2384, root_relative_squared_error: 0.6587, scimark_benchmark: 1327.2954, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9132, f_measure: 0.7299, kappa: 0.6644, kb_relative_information_score: 7135.9906, mean_absolute_error: 0.0992, mean_prior_absolute_error: 0.2619, number_of_instances: 10660, precision: 0.728, predictive_accuracy: 0.7382, prior_entropy: 2.3647, recall: 0.7382, relative_absolute_error: 0.3787, root_mean_prior_squared_error: 0.3618, root_mean_squared_error: 0.2501, root_relative_squared_error: 0.6911, scimark_benchmark: 1327.2954, usercpu_time_millis: 440, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9354, f_measure: 0.7259, kappa: 0.6693, kb_relative_information_score: 7169.2773, mean_absolute_error: 0.1051, mean_prior_absolute_error: 0.2619, number_of_instances: 10660, precision: 0.721, predictive_accuracy: 0.7438, prior_entropy: 2.3647, recall: 0.7438, relative_absolute_error: 0.4011, root_mean_prior_squared_error: 0.3618, root_mean_squared_error: 0.2318, root_relative_squared_error: 0.6405, scimark_benchmark: 1320.9026, usercpu_time_millis: 320, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9328, f_measure: 0.7347, kappa: 0.6841, kb_relative_information_score: 5286.2929, mean_absolute_error: 0.167, mean_prior_absolute_error: 0.2619, number_of_instances: 10660, precision: 0.7328, predictive_accuracy: 0.7562, prior_entropy: 2.3647, recall: 0.7562, relative_absolute_error: 0.6375, root_mean_prior_squared_error: 0.3618, root_mean_squared_error: 0.2585, root_relative_squared_error: 0.7145, scimark_benchmark: 1311.9814, usercpu_time_millis: 350, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.918, f_measure: 0.7274, kappa: 0.6702, kb_relative_information_score: 7133.5936, mean_absolute_error: 0.1041, mean_prior_absolute_error: 0.2619, number_of_instances: 10660, precision: 0.7233, predictive_accuracy: 0.7443, prior_entropy: 2.3647, recall: 0.7443, relative_absolute_error: 0.3976, root_mean_prior_squared_error: 0.3618, root_mean_squared_error: 0.2376, root_relative_squared_error: 0.6566, scimark_benchmark: 922.1419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9297, f_measure: 0.7306, kappa: 0.6736, kb_relative_information_score: 7145.951, mean_absolute_error: 0.1047, mean_prior_absolute_error: 0.2619, number_of_instances: 10660, precision: 0.7335, predictive_accuracy: 0.7472, prior_entropy: 2.3647, recall: 0.7472, relative_absolute_error: 0.3998, root_mean_prior_squared_error: 0.3618, root_mean_squared_error: 0.2337, root_relative_squared_error: 0.6458, scimark_benchmark: 892.0148, usercpu_time_millis: 590, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7813, f_measure: 0.4205, kappa: 0.3788, kb_relative_information_score: 4028.3678, mean_absolute_error: 0.1728, mean_prior_absolute_error: 0.2619, number_of_instances: 10660, precision: 0.3834, predictive_accuracy: 0.5347, prior_entropy: 2.3647, recall: 0.5347, relative_absolute_error: 0.6596, root_mean_prior_squared_error: 0.3618, root_mean_squared_error: 0.2939, root_relative_squared_error: 0.8123, scimark_benchmark: 1360.2771,

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