Task
Supervised Classification on audiology

Supervised Classification on audiology

Task 237 Supervised Classification audiology 293 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.892, f_measure: 0.6649, kappa: 0.6767, kb_relative_information_score: 48.5826, mean_absolute_error: 0.0274, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.6398, predictive_accuracy: 0.7162, prior_entropy: 3.6349, recall: 0.7162, relative_absolute_error: 0.3725, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.1435, root_relative_squared_error: 0.7455, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8869, f_measure: 0.6104, kappa: 0.5842, kb_relative_information_score: 43.2051, mean_absolute_error: 0.0355, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.6183, predictive_accuracy: 0.6351, prior_entropy: 3.6349, recall: 0.6351, relative_absolute_error: 0.4828, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.1532, root_relative_squared_error: 0.7955, scimark_benchmark: 851.2074, usercpu_time_millis: 570, usercpu_time_millis_training: 570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6282, f_measure: 0.2311, kappa: 0.2552, kb_relative_information_score: 17.2767, mean_absolute_error: 0.0507, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.1691, predictive_accuracy: 0.3919, prior_entropy: 3.6349, recall: 0.3919, relative_absolute_error: 0.6883, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.2251, root_relative_squared_error: 1.1692, scimark_benchmark: 941.6675, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, f_measure: 0.5876, kappa: 0.5813, kb_relative_information_score: 38.6093, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.5814, predictive_accuracy: 0.6351, prior_entropy: 3.6349, recall: 0.6351, relative_absolute_error: 0.454, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.16, root_relative_squared_error: 0.8312, scimark_benchmark: 941.6675, usercpu_time_millis: 80, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, f_measure: 0.5876, kappa: 0.5813, kb_relative_information_score: 38.6093, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.5814, predictive_accuracy: 0.6351, prior_entropy: 3.6349, recall: 0.6351, relative_absolute_error: 0.454, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.16, root_relative_squared_error: 0.8312, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, f_measure: 0.5876, kappa: 0.5813, kb_relative_information_score: 38.6093, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.5814, predictive_accuracy: 0.6351, prior_entropy: 3.6349, recall: 0.6351, relative_absolute_error: 0.454, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.16, root_relative_squared_error: 0.8312, scimark_benchmark: 941.6675, usercpu_time_millis: 90, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8976, f_measure: 0.5764, kappa: 0.5954, kb_relative_information_score: 42.3842, mean_absolute_error: 0.0389, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.5281, predictive_accuracy: 0.6486, prior_entropy: 3.6349, recall: 0.6486, relative_absolute_error: 0.529, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.1484, root_relative_squared_error: 0.7708, scimark_benchmark: 941.6675, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, f_measure: 0.5876, kappa: 0.5813, kb_relative_information_score: 38.6093, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.5814, predictive_accuracy: 0.6351, prior_entropy: 3.6349, recall: 0.6351, relative_absolute_error: 0.454, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.16, root_relative_squared_error: 0.8312, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8187, f_measure: 0.5642, kappa: 0.5666, kb_relative_information_score: 37.6148, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.5418, predictive_accuracy: 0.6216, prior_entropy: 3.6349, recall: 0.6216, relative_absolute_error: 0.4396, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.1723, root_relative_squared_error: 0.8946, scimark_benchmark: 927.2917, usercpu_time_millis: 8800, usercpu_time_millis_testing: 290, usercpu_time_millis_training: 8510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9229, f_measure: 0.5991, kappa: 0.611, kb_relative_information_score: 40.4358, mean_absolute_error: 0.0419, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.5658, predictive_accuracy: 0.6622, prior_entropy: 3.6349, recall: 0.6622, relative_absolute_error: 0.5688, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.1386, root_relative_squared_error: 0.7199, scimark_benchmark: 931.771, usercpu_time_millis: 170, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6282, f_measure: 0.2311, kappa: 0.2552, kb_relative_information_score: 17.2767, mean_absolute_error: 0.0507, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.1691, predictive_accuracy: 0.3919, prior_entropy: 3.6349, recall: 0.3919, relative_absolute_error: 0.6883, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.2251, root_relative_squared_error: 1.1692, scimark_benchmark: 937.5117, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8953, f_measure: 0.5875, kappa: 0.5813, kb_relative_information_score: 38.1992, mean_absolute_error: 0.0332, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.5825, predictive_accuracy: 0.6351, prior_entropy: 3.6349, recall: 0.6351, relative_absolute_error: 0.4503, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.1559, root_relative_squared_error: 0.8099, scimark_benchmark: 941.3847, usercpu_time_millis: 40, usercpu_time_millis_testing: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, f_measure: 0.5876, kappa: 0.5813, kb_relative_information_score: 38.6093, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.5814, predictive_accuracy: 0.6351, prior_entropy: 3.6349, recall: 0.6351, relative_absolute_error: 0.454, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.16, root_relative_squared_error: 0.8312, scimark_benchmark: 974.2014, usercpu_time_millis: 70, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8187, f_measure: 0.5642, kappa: 0.5666, kb_relative_information_score: 37.6148, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.5418, predictive_accuracy: 0.6216, prior_entropy: 3.6349, recall: 0.6216, relative_absolute_error: 0.4396, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.1723, root_relative_squared_error: 0.8946, scimark_benchmark: 937.5117, usercpu_time_millis: 8890, usercpu_time_millis_testing: 280, usercpu_time_millis_training: 8610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9229, f_measure: 0.5991, kappa: 0.611, kb_relative_information_score: 40.4358, mean_absolute_error: 0.0419, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.5658, predictive_accuracy: 0.6622, prior_entropy: 3.6349, recall: 0.6622, relative_absolute_error: 0.5688, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.1386, root_relative_squared_error: 0.7199, scimark_benchmark: 943.1009, usercpu_time_millis: 260, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.892, f_measure: 0.6649, kappa: 0.6767, kb_relative_information_score: 48.5826, mean_absolute_error: 0.0274, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.6398, predictive_accuracy: 0.7162, prior_entropy: 3.6349, recall: 0.7162, relative_absolute_error: 0.3725, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.1435, root_relative_squared_error: 0.7455, scimark_benchmark: 819.5729, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8869, f_measure: 0.6104, kappa: 0.5842, kb_relative_information_score: 43.2051, mean_absolute_error: 0.0355, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.6183, predictive_accuracy: 0.6351, prior_entropy: 3.6349, recall: 0.6351, relative_absolute_error: 0.4828, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.1532, root_relative_squared_error: 0.7955, scimark_benchmark: 608.4057, usercpu_time_millis: 590, usercpu_time_millis_training: 590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6282, f_measure: 0.2311, kappa: 0.2552, kb_relative_information_score: 17.2767, mean_absolute_error: 0.0507, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.1691, predictive_accuracy: 0.3919, prior_entropy: 3.6349, recall: 0.3919, relative_absolute_error: 0.6883, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.2251, root_relative_squared_error: 1.1692, scimark_benchmark: 859.5223, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, f_measure: 0.5876, kappa: 0.5813, kb_relative_information_score: 38.6093, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.5814, predictive_accuracy: 0.6351, prior_entropy: 3.6349, recall: 0.6351, relative_absolute_error: 0.454, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.16, root_relative_squared_error: 0.8312, scimark_benchmark: 938.1282, usercpu_time_millis: 70, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, f_measure: 0.5876, kappa: 0.5813, kb_relative_information_score: 38.6093, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.5814, predictive_accuracy: 0.6351, prior_entropy: 3.6349, recall: 0.6351, relative_absolute_error: 0.454, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.16, root_relative_squared_error: 0.8312, scimark_benchmark: 903.2737, usercpu_time_millis: 60, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8976, f_measure: 0.5764, kappa: 0.5954, kb_relative_information_score: 42.3842, mean_absolute_error: 0.0389, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.5281, predictive_accuracy: 0.6486, prior_entropy: 3.6349, recall: 0.6486, relative_absolute_error: 0.529, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.1484, root_relative_squared_error: 0.7708, scimark_benchmark: 941.4991, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, f_measure: 0.5876, kappa: 0.5813, kb_relative_information_score: 38.6093, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.5814, predictive_accuracy: 0.6351, prior_entropy: 3.6349, recall: 0.6351, relative_absolute_error: 0.454, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.16, root_relative_squared_error: 0.8312, scimark_benchmark: 932.438, usercpu_time_millis: 90, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8187, f_measure: 0.5642, kappa: 0.5666, kb_relative_information_score: 37.6148, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.5418, predictive_accuracy: 0.6216, prior_entropy: 3.6349, recall: 0.6216, relative_absolute_error: 0.4396, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.1723, root_relative_squared_error: 0.8946, scimark_benchmark: 936.3213, usercpu_time_millis: 8670, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 8410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9229, f_measure: 0.5991, kappa: 0.611, kb_relative_information_score: 40.4358, mean_absolute_error: 0.0419, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.5658, predictive_accuracy: 0.6622, prior_entropy: 3.6349, recall: 0.6622, relative_absolute_error: 0.5688, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.1386, root_relative_squared_error: 0.7199, scimark_benchmark: 936.9595, usercpu_time_millis: 170, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9205, f_measure: 0.6568, kappa: 0.6758, kb_relative_information_score: 47.0456, mean_absolute_error: 0.0319, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.6376, predictive_accuracy: 0.7162, prior_entropy: 3.6349, recall: 0.7162, relative_absolute_error: 0.4327, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.1344, root_relative_squared_error: 0.6982, scimark_benchmark: 1171.0303, usercpu_time_millis: 13540, usercpu_time_millis_testing: 6990, usercpu_time_millis_training: 6550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9162, f_measure: 0.6736, kappa: 0.6918, kb_relative_information_score: 47.5475, mean_absolute_error: 0.0313, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.6453, predictive_accuracy: 0.7297, prior_entropy: 3.6349, recall: 0.7297, relative_absolute_error: 0.425, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.133, root_relative_squared_error: 0.691, scimark_benchmark: 901.6243, usercpu_time_millis: 4590, usercpu_time_millis_testing: 2180, usercpu_time_millis_training: 2410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.92, f_measure: 0.6568, kappa: 0.6758, kb_relative_information_score: 47.5187, mean_absolute_error: 0.0313, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.6376, predictive_accuracy: 0.7162, prior_entropy: 3.6349, recall: 0.7162, relative_absolute_error: 0.4253, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.1342, root_relative_squared_error: 0.6971, scimark_benchmark: 917.2109, usercpu_time_millis: 2210, usercpu_time_millis_testing: 860, usercpu_time_millis_training: 1350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9073, f_measure: 0.6843, kappa: 0.6919, kb_relative_information_score: 47.4958, mean_absolute_error: 0.0319, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.6785, predictive_accuracy: 0.7297, prior_entropy: 3.6349, recall: 0.7297, relative_absolute_error: 0.433, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.1349, root_relative_squared_error: 0.7008, scimark_benchmark: 911.2316, usercpu_time_millis: 1020, usercpu_time_millis_testing: 320, usercpu_time_millis_training: 700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9141, f_measure: 0.6567, kappa: 0.6753, kb_relative_information_score: 48.3095, mean_absolute_error: 0.0293, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.6203, predictive_accuracy: 0.7162, prior_entropy: 3.6349, recall: 0.7162, relative_absolute_error: 0.3984, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.1323, root_relative_squared_error: 0.6871, scimark_benchmark: 889.4922, usercpu_time_millis: 530, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0769, kb_relative_information_score: 0.6771, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.0467, predictive_accuracy: 0.2162, prior_entropy: 3.6349, recall: 0.2162, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.1932, root_relative_squared_error: 1.0036, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7302, f_measure: 0.2244, kappa: 0.2395, kb_relative_information_score: 16.4022, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.1659, predictive_accuracy: 0.3784, prior_entropy: 3.6349, recall: 0.3784, relative_absolute_error: 0.8362, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.1818, root_relative_squared_error: 0.9441, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7302, f_measure: 0.2244, kappa: 0.2395, kb_relative_information_score: 16.4022, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.1659, predictive_accuracy: 0.3784, prior_entropy: 3.6349, recall: 0.3784, relative_absolute_error: 0.8362, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.1818, root_relative_squared_error: 0.9441, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7302, f_measure: 0.2244, kappa: 0.2395, kb_relative_information_score: 16.4022, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.1659, predictive_accuracy: 0.3784, prior_entropy: 3.6349, recall: 0.3784, relative_absolute_error: 0.8362, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.1818, root_relative_squared_error: 0.9441, scimark_benchmark: 940.0055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7302, f_measure: 0.2244, kappa: 0.2395, kb_relative_information_score: 16.4022, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.1659, predictive_accuracy: 0.3784, prior_entropy: 3.6349, recall: 0.3784, relative_absolute_error: 0.8362, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.1818, root_relative_squared_error: 0.9441, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7302, f_measure: 0.2244, kappa: 0.2395, kb_relative_information_score: 16.4022, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.1659, predictive_accuracy: 0.3784, prior_entropy: 3.6349, recall: 0.3784, relative_absolute_error: 0.8362, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.1818, root_relative_squared_error: 0.9441, scimark_benchmark: 935.6052, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0769, kb_relative_information_score: 7.1823, mean_absolute_error: 0.0653, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.0467, predictive_accuracy: 0.2162, prior_entropy: 3.6349, recall: 0.2162, relative_absolute_error: 0.8871, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.2556, root_relative_squared_error: 1.3274, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.6825, kappa: 0.6928, kb_relative_information_score: 44.0837, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.6649, predictive_accuracy: 0.7297, prior_entropy: 3.6349, recall: 0.7297, relative_absolute_error: 0.5879, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.1351, root_relative_squared_error: 0.7016, scimark_benchmark: 899.1108, usercpu_time_millis: 1620, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1610,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8869, f_measure: 0.6104, kappa: 0.5842, kb_relative_information_score: 43.2051, mean_absolute_error: 0.0355, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.6183, predictive_accuracy: 0.6351, prior_entropy: 3.6349, recall: 0.6351, relative_absolute_error: 0.4828, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.1532, root_relative_squared_error: 0.7955, scimark_benchmark: 1313.8988, usercpu_time_millis: 380, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6282, f_measure: 0.2311, kappa: 0.2552, kb_relative_information_score: 17.2767, mean_absolute_error: 0.0507, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.1691, predictive_accuracy: 0.3919, prior_entropy: 3.6349, recall: 0.3919, relative_absolute_error: 0.6883, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.2251, root_relative_squared_error: 1.1692, scimark_benchmark: 1286.0816, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6282, f_measure: 0.2311, kappa: 0.2552, kb_relative_information_score: 17.2767, mean_absolute_error: 0.0507, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.1691, predictive_accuracy: 0.3919, prior_entropy: 3.6349, recall: 0.3919, relative_absolute_error: 0.6883, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.2251, root_relative_squared_error: 1.1692, scimark_benchmark: 1345.7919, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, f_measure: 0.5876, kappa: 0.5813, kb_relative_information_score: 38.6093, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.5814, predictive_accuracy: 0.6351, prior_entropy: 3.6349, recall: 0.6351, relative_absolute_error: 0.454, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.16, root_relative_squared_error: 0.8312, scimark_benchmark: 1349.8336, usercpu_time_millis: 70, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, f_measure: 0.5876, kappa: 0.5813, kb_relative_information_score: 38.6093, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.5814, predictive_accuracy: 0.6351, prior_entropy: 3.6349, recall: 0.6351, relative_absolute_error: 0.454, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.16, root_relative_squared_error: 0.8312, scimark_benchmark: 1347.7267, usercpu_time_millis: 60, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, f_measure: 0.5876, kappa: 0.5813, kb_relative_information_score: 38.6093, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.5814, predictive_accuracy: 0.6351, prior_entropy: 3.6349, recall: 0.6351, relative_absolute_error: 0.454, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.16, root_relative_squared_error: 0.8312, scimark_benchmark: 1325.6322, usercpu_time_millis: 70, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8976, f_measure: 0.5764, kappa: 0.5954, kb_relative_information_score: 42.3842, mean_absolute_error: 0.0389, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.5281, predictive_accuracy: 0.6486, prior_entropy: 3.6349, recall: 0.6486, relative_absolute_error: 0.529, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.1484, root_relative_squared_error: 0.7708, scimark_benchmark: 1299.6719, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9229, f_measure: 0.5991, kappa: 0.611, kb_relative_information_score: 40.4358, mean_absolute_error: 0.0419, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.5658, predictive_accuracy: 0.6622, prior_entropy: 3.6349, recall: 0.6622, relative_absolute_error: 0.5688, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.1386, root_relative_squared_error: 0.7199, scimark_benchmark: 1313.9976, usercpu_time_millis: 270, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8808, f_measure: 0.644, kappa: 0.6591, kb_relative_information_score: 46.8204, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.6093, predictive_accuracy: 0.7027, prior_entropy: 3.6349, recall: 0.7027, relative_absolute_error: 0.3878, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.1469, root_relative_squared_error: 0.7628, scimark_benchmark: 1299.6719, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, f_measure: 0.5876, kappa: 0.5813, kb_relative_information_score: 38.6093, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.5814, predictive_accuracy: 0.6351, prior_entropy: 3.6349, recall: 0.6351, relative_absolute_error: 0.454, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.16, root_relative_squared_error: 0.8312, scimark_benchmark: 1337.3129, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8187, f_measure: 0.5642, kappa: 0.5666, kb_relative_information_score: 37.6148, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.5418, predictive_accuracy: 0.6216, prior_entropy: 3.6349, recall: 0.6216, relative_absolute_error: 0.4396, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.1723, root_relative_squared_error: 0.8946, scimark_benchmark: 1373.7859, usercpu_time_millis: 14150, usercpu_time_millis_testing: 1000, usercpu_time_millis_training: 13150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9229, f_measure: 0.5991, kappa: 0.611, kb_relative_information_score: 40.4358, mean_absolute_error: 0.0419, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.5658, predictive_accuracy: 0.6622, prior_entropy: 3.6349, recall: 0.6622, relative_absolute_error: 0.5688, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.1386, root_relative_squared_error: 0.7199, scimark_benchmark: 1340.5125, usercpu_time_millis: 140, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8999, f_measure: 0.5851, kappa: 0.5803, kb_relative_information_score: 38.7556, mean_absolute_error: 0.0333, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.5773, predictive_accuracy: 0.6351, prior_entropy: 3.6349, recall: 0.6351, relative_absolute_error: 0.4524, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.1598, root_relative_squared_error: 0.83, scimark_benchmark: 1404.0159, usercpu_time_millis: 10630, usercpu_time_millis_testing: 9090, usercpu_time_millis_training: 1540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.892, f_measure: 0.6649, kappa: 0.6767, kb_relative_information_score: 48.5826, mean_absolute_error: 0.0274, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.6398, predictive_accuracy: 0.7162, prior_entropy: 3.6349, recall: 0.7162, relative_absolute_error: 0.3725, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.1435, root_relative_squared_error: 0.7455, scimark_benchmark: 1329.8008, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6282, f_measure: 0.2311, kappa: 0.2552, kb_relative_information_score: 17.2767, mean_absolute_error: 0.0507, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.1691, predictive_accuracy: 0.3919, prior_entropy: 3.6349, recall: 0.3919, relative_absolute_error: 0.6883, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.2251, root_relative_squared_error: 1.1692, scimark_benchmark: 1352.06, usercpu_time_millis: 80, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, f_measure: 0.5876, kappa: 0.5813, kb_relative_information_score: 38.6093, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.5814, predictive_accuracy: 0.6351, prior_entropy: 3.6349, recall: 0.6351, relative_absolute_error: 0.454, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.16, root_relative_squared_error: 0.8312, scimark_benchmark: 1347.993, usercpu_time_millis: 50, usercpu_time_millis_testing: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, f_measure: 0.5876, kappa: 0.5813, kb_relative_information_score: 38.6093, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.5814, predictive_accuracy: 0.6351, prior_entropy: 3.6349, recall: 0.6351, relative_absolute_error: 0.454, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.16, root_relative_squared_error: 0.8312, scimark_benchmark: 1354.3488, usercpu_time_millis: 40, usercpu_time_millis_testing: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8187, f_measure: 0.5642, kappa: 0.5666, kb_relative_information_score: 37.6148, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.5418, predictive_accuracy: 0.6216, prior_entropy: 3.6349, recall: 0.6216, relative_absolute_error: 0.4396, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.1723, root_relative_squared_error: 0.8946, scimark_benchmark: 1260.1387, usercpu_time_millis: 14090, usercpu_time_millis_testing: 1040, usercpu_time_millis_training: 13050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9229, f_measure: 0.5991, kappa: 0.611, kb_relative_information_score: 40.4358, mean_absolute_error: 0.0419, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.5658, predictive_accuracy: 0.6622, prior_entropy: 3.6349, recall: 0.6622, relative_absolute_error: 0.5688, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.1386, root_relative_squared_error: 0.7199, scimark_benchmark: 1322.7257, usercpu_time_millis: 140, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, f_measure: 0.5876, kappa: 0.5813, kb_relative_information_score: 38.6093, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.5814, predictive_accuracy: 0.6351, prior_entropy: 3.6349, recall: 0.6351, relative_absolute_error: 0.454, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.16, root_relative_squared_error: 0.8312, scimark_benchmark: 918.0213, usercpu_time_millis: 60, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8953, f_measure: 0.5875, kappa: 0.5813, kb_relative_information_score: 38.1992, mean_absolute_error: 0.0332, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.5825, predictive_accuracy: 0.6351, prior_entropy: 3.6349, recall: 0.6351, relative_absolute_error: 0.4503, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.1559, root_relative_squared_error: 0.8099, scimark_benchmark: 1347.993, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, f_measure: 0.5876, kappa: 0.5813, kb_relative_information_score: 38.6093, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.5814, predictive_accuracy: 0.6351, prior_entropy: 3.6349, recall: 0.6351, relative_absolute_error: 0.454, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.16, root_relative_squared_error: 0.8312, scimark_benchmark: 1347.917, usercpu_time_millis: 40, usercpu_time_millis_testing: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9046, f_measure: 0.2347, kappa: 0.2633, kb_relative_information_score: 25.7529, mean_absolute_error: 0.0562, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.1733, predictive_accuracy: 0.3919, prior_entropy: 3.6349, recall: 0.3919, relative_absolute_error: 0.7633, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.1727, root_relative_squared_error: 0.8967, scimark_benchmark: 1334.6745, usercpu_time_millis: 180, usercpu_time_millis_testing: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, f_measure: 0.5876, kappa: 0.5813, kb_relative_information_score: 38.6093, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.5814, predictive_accuracy: 0.6351, prior_entropy: 3.6349, recall: 0.6351, relative_absolute_error: 0.454, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.16, root_relative_squared_error: 0.8312, scimark_benchmark: 933.1165, usercpu_time_millis: 70, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, f_measure: 0.5876, kappa: 0.5813, kb_relative_information_score: 38.6093, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.5814, predictive_accuracy: 0.6351, prior_entropy: 3.6349, recall: 0.6351, relative_absolute_error: 0.454, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.16, root_relative_squared_error: 0.8312, scimark_benchmark: 933.1165, usercpu_time_millis: 70, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, f_measure: 0.5876, kappa: 0.5813, kb_relative_information_score: 38.6093, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.5814, predictive_accuracy: 0.6351, prior_entropy: 3.6349, recall: 0.6351, relative_absolute_error: 0.454, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.16, root_relative_squared_error: 0.8312, scimark_benchmark: 933.1165, usercpu_time_millis: 60, usercpu_time_millis_testing: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, f_measure: 0.5876, kappa: 0.5813, kb_relative_information_score: 38.6093, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.5814, predictive_accuracy: 0.6351, prior_entropy: 3.6349, recall: 0.6351, relative_absolute_error: 0.454, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.16, root_relative_squared_error: 0.8312, scimark_benchmark: 1312.0581, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,

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