Task
Supervised Classification on molecular-biology_promoters

Supervised Classification on molecular-biology_promoters

Task 2373 Supervised Classification molecular-biology_promoters 105 runs submitted
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  • study_1 study_107 study_123 study_50 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7925, f_measure: 0.7544, kappa: 0.5094, kb_relative_information_score: 52.6615, mean_absolute_error: 0.2535, mean_prior_absolute_error: 0.5, number_of_instances: 106, precision: 0.7562, predictive_accuracy: 0.7547, prior_entropy: 1, recall: 0.7547, relative_absolute_error: 0.507, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4613, root_relative_squared_error: 0.9226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6711, f_measure: 0.7547, kappa: 0.5094, kb_relative_information_score: 35.5385, mean_absolute_error: 0.3527, mean_prior_absolute_error: 0.5, number_of_instances: 106, precision: 0.7547, predictive_accuracy: 0.7547, prior_entropy: 1, recall: 0.7547, relative_absolute_error: 0.7054, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.439, root_relative_squared_error: 0.878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.934, kappa: 0.8679, kb_relative_information_score: 82.3883, mean_absolute_error: 0.1225, mean_prior_absolute_error: 0.5, number_of_instances: 106, precision: 0.9341, predictive_accuracy: 0.934, prior_entropy: 1, recall: 0.934, relative_absolute_error: 0.245, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2275, root_relative_squared_error: 0.4549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9245, f_measure: 0.9245, kappa: 0.8491, kb_relative_information_score: 90, mean_absolute_error: 0.0755, mean_prior_absolute_error: 0.5, number_of_instances: 106, precision: 0.9251, predictive_accuracy: 0.9245, prior_entropy: 1, recall: 0.9245, relative_absolute_error: 0.1509, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2747, root_relative_squared_error: 0.5494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.9245, kappa: 0.8491, kb_relative_information_score: 89.2325, mean_absolute_error: 0.0808, mean_prior_absolute_error: 0.5, number_of_instances: 106, precision: 0.9251, predictive_accuracy: 0.9245, prior_entropy: 1, recall: 0.9245, relative_absolute_error: 0.1616, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.243, root_relative_squared_error: 0.486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8669, f_measure: 0.8014, kappa: 0.6038, kb_relative_information_score: 64.0421, mean_absolute_error: 0.199, mean_prior_absolute_error: 0.5, number_of_instances: 106, precision: 0.8046, predictive_accuracy: 0.8019, prior_entropy: 1, recall: 0.8019, relative_absolute_error: 0.398, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4152, root_relative_squared_error: 0.8304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.922, f_measure: 0.9056, kappa: 0.8113, kb_relative_information_score: 83.4525, mean_absolute_error: 0.1089, mean_prior_absolute_error: 0.5, number_of_instances: 106, precision: 0.9062, predictive_accuracy: 0.9057, prior_entropy: 1, recall: 0.9057, relative_absolute_error: 0.2178, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3086, root_relative_squared_error: 0.6172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9486, f_measure: 0.8866, kappa: 0.7736, kb_relative_information_score: 59.6254, mean_absolute_error: 0.2385, mean_prior_absolute_error: 0.5, number_of_instances: 106, precision: 0.889, predictive_accuracy: 0.8868, prior_entropy: 1, recall: 0.8868, relative_absolute_error: 0.4771, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3133, root_relative_squared_error: 0.6266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.8866, kappa: 0.7736, kb_relative_information_score: 77.7433, mean_absolute_error: 0.1412, mean_prior_absolute_error: 0.5, number_of_instances: 106, precision: 0.889, predictive_accuracy: 0.8868, prior_entropy: 1, recall: 0.8868, relative_absolute_error: 0.2823, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2624, root_relative_squared_error: 0.5247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8339, f_measure: 0.8017, kappa: 0.6038, kb_relative_information_score: 58.8546, mean_absolute_error: 0.2285, mean_prior_absolute_error: 0.5, number_of_instances: 106, precision: 0.8029, predictive_accuracy: 0.8019, prior_entropy: 1, recall: 0.8019, relative_absolute_error: 0.457, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4129, root_relative_squared_error: 0.8257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.9056, kappa: 0.8113, kb_relative_information_score: 84.3152, mean_absolute_error: 0.1054, mean_prior_absolute_error: 0.5, number_of_instances: 106, precision: 0.9062, predictive_accuracy: 0.9057, prior_entropy: 1, recall: 0.9057, relative_absolute_error: 0.2109, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.252, root_relative_squared_error: 0.504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8053, f_measure: 0.8102, kappa: 0.6226, kb_relative_information_score: 57.4699, mean_absolute_error: 0.2338, mean_prior_absolute_error: 0.5, number_of_instances: 106, precision: 0.8186, predictive_accuracy: 0.8113, prior_entropy: 1, recall: 0.8113, relative_absolute_error: 0.4677, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4188, root_relative_squared_error: 0.8376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9363, f_measure: 0.8866, kappa: 0.7736, kb_relative_information_score: 81.5883, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.5, number_of_instances: 106, precision: 0.889, predictive_accuracy: 0.8868, prior_entropy: 1, recall: 0.8868, relative_absolute_error: 0.231, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3204, root_relative_squared_error: 0.6409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.9057, kappa: 0.8113, kb_relative_information_score: 83.3401, mean_absolute_error: 0.1083, mean_prior_absolute_error: 0.5, number_of_instances: 106, precision: 0.9057, predictive_accuracy: 0.9057, prior_entropy: 1, recall: 0.9057, relative_absolute_error: 0.2166, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3043, root_relative_squared_error: 0.6087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9433, kappa: 0.8868, kb_relative_information_score: 81.6612, mean_absolute_error: 0.1266, mean_prior_absolute_error: 0.5, number_of_instances: 106, precision: 0.9459, predictive_accuracy: 0.9434, prior_entropy: 1, recall: 0.9434, relative_absolute_error: 0.2532, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.238, root_relative_squared_error: 0.476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9434, kappa: 0.8868, kb_relative_information_score: 88.3117, mean_absolute_error: 0.0917, mean_prior_absolute_error: 0.5, number_of_instances: 106, precision: 0.9434, predictive_accuracy: 0.9434, prior_entropy: 1, recall: 0.9434, relative_absolute_error: 0.1833, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2069, root_relative_squared_error: 0.4137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9562, f_measure: 0.8858, kappa: 0.7736, kb_relative_information_score: 72.2754, mean_absolute_error: 0.166, mean_prior_absolute_error: 0.5, number_of_instances: 106, precision: 0.9011, predictive_accuracy: 0.8868, prior_entropy: 1, recall: 0.8868, relative_absolute_error: 0.332, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3189, root_relative_squared_error: 0.6378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9528, kappa: 0.9057, kb_relative_information_score: 89.737, mean_absolute_error: 0.0843, mean_prior_absolute_error: 0.5, number_of_instances: 106, precision: 0.953, predictive_accuracy: 0.9528, prior_entropy: 1, recall: 0.9528, relative_absolute_error: 0.1686, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1915, root_relative_squared_error: 0.3831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9655, f_measure: 0.8379, kappa: 0.6792, kb_relative_information_score: 58.1832, mean_absolute_error: 0.2399, mean_prior_absolute_error: 0.5, number_of_instances: 106, precision: 0.8549, predictive_accuracy: 0.8396, prior_entropy: 1, recall: 0.8396, relative_absolute_error: 0.4799, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3231, root_relative_squared_error: 0.6461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.934, kappa: 0.8679, kb_relative_information_score: 84.7302, mean_absolute_error: 0.1047, mean_prior_absolute_error: 0.5, number_of_instances: 106, precision: 0.9341, predictive_accuracy: 0.934, prior_entropy: 1, recall: 0.934, relative_absolute_error: 0.2094, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2369, root_relative_squared_error: 0.4738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9313, f_measure: 0.8396, kappa: 0.6792, kb_relative_information_score: 56.0923, mean_absolute_error: 0.2536, mean_prior_absolute_error: 0.5, number_of_instances: 106, precision: 0.8397, predictive_accuracy: 0.8396, prior_entropy: 1, recall: 0.8396, relative_absolute_error: 0.5073, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3294, root_relative_squared_error: 0.6588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.932, f_measure: 0.8491, kappa: 0.6981, kb_relative_information_score: 41.7656, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.5, number_of_instances: 106, precision: 0.8491, predictive_accuracy: 0.8491, prior_entropy: 1, recall: 0.8491, relative_absolute_error: 0.6572, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.362, root_relative_squared_error: 0.7241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.461, f_measure: 0.4522, kappa: -0.0566, kb_relative_information_score: -0.0888, mean_absolute_error: 0.5003, mean_prior_absolute_error: 0.5, number_of_instances: 106, precision: 0.467, predictive_accuracy: 0.4717, prior_entropy: 1, recall: 0.4717, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9637, f_measure: 0.8656, kappa: 0.7358, kb_relative_information_score: 66.021, mean_absolute_error: 0.1998, mean_prior_absolute_error: 0.5, number_of_instances: 106, precision: 0.8955, predictive_accuracy: 0.8679, prior_entropy: 1, recall: 0.8679, relative_absolute_error: 0.3995, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3123, root_relative_squared_error: 0.6246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.8755, kappa: 0.7547, kb_relative_information_score: 71.3087, mean_absolute_error: 0.1754, mean_prior_absolute_error: 0.5, number_of_instances: 106, precision: 0.9015, predictive_accuracy: 0.8774, prior_entropy: 1, recall: 0.8774, relative_absolute_error: 0.3507, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2773, root_relative_squared_error: 0.5546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.8955, kappa: 0.7925, kb_relative_information_score: 72.2351, mean_absolute_error: 0.1702, mean_prior_absolute_error: 0.5, number_of_instances: 106, precision: 0.908, predictive_accuracy: 0.8962, prior_entropy: 1, recall: 0.8962, relative_absolute_error: 0.3403, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.281, root_relative_squared_error: 0.5619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8192, f_measure: 0.801, kappa: 0.6038, kb_relative_information_score: 58.5651, mean_absolute_error: 0.2296, mean_prior_absolute_error: 0.5, number_of_instances: 106, precision: 0.8072, predictive_accuracy: 0.8019, prior_entropy: 1, recall: 0.8019, relative_absolute_error: 0.4592, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.415, root_relative_squared_error: 0.83,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.9056, kappa: 0.8113, kb_relative_information_score: 84.3152, mean_absolute_error: 0.1054, mean_prior_absolute_error: 0.5, number_of_instances: 106, precision: 0.9062, predictive_accuracy: 0.9057, prior_entropy: 1, recall: 0.9057, relative_absolute_error: 0.2109, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.252, root_relative_squared_error: 0.504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9151, f_measure: 0.915, kappa: 0.8302, kb_relative_information_score: 88, mean_absolute_error: 0.0849, mean_prior_absolute_error: 0.5, number_of_instances: 106, precision: 0.9164, predictive_accuracy: 0.9151, prior_entropy: 1, recall: 0.9151, relative_absolute_error: 0.1698, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2914, root_relative_squared_error: 0.5828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9151, f_measure: 0.9151, kappa: 0.8302, kb_relative_information_score: 88, mean_absolute_error: 0.0849, mean_prior_absolute_error: 0.5, number_of_instances: 106, precision: 0.9152, predictive_accuracy: 0.9151, prior_entropy: 1, recall: 0.9151, relative_absolute_error: 0.1698, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2914, root_relative_squared_error: 0.5828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9151, kappa: 0.8302, kb_relative_information_score: 84.8702, mean_absolute_error: 0.1045, mean_prior_absolute_error: 0.5, number_of_instances: 106, precision: 0.9152, predictive_accuracy: 0.9151, prior_entropy: 1, recall: 0.9151, relative_absolute_error: 0.2091, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.235, root_relative_squared_error: 0.47,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9151, f_measure: 0.9151, kappa: 0.8302, kb_relative_information_score: 88, mean_absolute_error: 0.0849, mean_prior_absolute_error: 0.5, number_of_instances: 106, precision: 0.9152, predictive_accuracy: 0.9151, prior_entropy: 1, recall: 0.9151, relative_absolute_error: 0.1698, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2914, root_relative_squared_error: 0.5828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.8866, kappa: 0.7736, kb_relative_information_score: 77.7433, mean_absolute_error: 0.1412, mean_prior_absolute_error: 0.5, number_of_instances: 106, precision: 0.889, predictive_accuracy: 0.8868, prior_entropy: 1, recall: 0.8868, relative_absolute_error: 0.2823, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2624, root_relative_squared_error: 0.5247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8192, f_measure: 0.801, kappa: 0.6038, kb_relative_information_score: 58.5651, mean_absolute_error: 0.2296, mean_prior_absolute_error: 0.5, number_of_instances: 106, precision: 0.8072, predictive_accuracy: 0.8019, prior_entropy: 1, recall: 0.8019, relative_absolute_error: 0.4592, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.415, root_relative_squared_error: 0.83,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, f_measure: 0.934, kappa: 0.8679, kb_relative_information_score: 92, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.5, number_of_instances: 106, precision: 0.9341, predictive_accuracy: 0.934, prior_entropy: 1, recall: 0.934, relative_absolute_error: 0.1321, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.257, root_relative_squared_error: 0.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, f_measure: 0.9151, kappa: 0.8302, kb_relative_information_score: 34.3812, mean_absolute_error: 0.3661, mean_prior_absolute_error: 0.5, number_of_instances: 106, precision: 0.9152, predictive_accuracy: 0.9151, prior_entropy: 1, recall: 0.9151, relative_absolute_error: 0.7321, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3804, root_relative_squared_error: 0.7609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.9056, kappa: 0.8113, kb_relative_information_score: 84.3152, mean_absolute_error: 0.1054, mean_prior_absolute_error: 0.5, number_of_instances: 106, precision: 0.9062, predictive_accuracy: 0.9057, prior_entropy: 1, recall: 0.9057, relative_absolute_error: 0.2109, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.252, root_relative_squared_error: 0.504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9309, f_measure: 0.8396, kappa: 0.6792, kb_relative_information_score: 60.3207, mean_absolute_error: 0.2297, mean_prior_absolute_error: 0.5, number_of_instances: 106, precision: 0.8397, predictive_accuracy: 0.8396, prior_entropy: 1, recall: 0.8396, relative_absolute_error: 0.4593, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3274, root_relative_squared_error: 0.6548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8633, f_measure: 0.7821, kappa: 0.566, kb_relative_information_score: 35.8408, mean_absolute_error: 0.3519, mean_prior_absolute_error: 0.5, number_of_instances: 106, precision: 0.788, predictive_accuracy: 0.783, prior_entropy: 1, recall: 0.783, relative_absolute_error: 0.7038, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3966, root_relative_squared_error: 0.7931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7453, f_measure: 0.7451, kappa: 0.4906, kb_relative_information_score: 52, mean_absolute_error: 0.2547, mean_prior_absolute_error: 0.5, number_of_instances: 106, precision: 0.7461, predictive_accuracy: 0.7453, prior_entropy: 1, recall: 0.7453, relative_absolute_error: 0.5094, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5047, root_relative_squared_error: 1.0094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9151, f_measure: 0.915, kappa: 0.8302, kb_relative_information_score: 88, mean_absolute_error: 0.0849, mean_prior_absolute_error: 0.5, number_of_instances: 106, precision: 0.9164, predictive_accuracy: 0.9151, prior_entropy: 1, recall: 0.9151, relative_absolute_error: 0.1698, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2914, root_relative_squared_error: 0.5828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7358, f_measure: 0.7189, kappa: 0.4717, kb_relative_information_score: 50, mean_absolute_error: 0.2642, mean_prior_absolute_error: 0.5, number_of_instances: 106, precision: 0.8106, predictive_accuracy: 0.7358, prior_entropy: 1, recall: 0.7358, relative_absolute_error: 0.5283, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.514, root_relative_squared_error: 1.0279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8774, f_measure: 0.8771, kappa: 0.7547, kb_relative_information_score: 80, mean_absolute_error: 0.1226, mean_prior_absolute_error: 0.5, number_of_instances: 106, precision: 0.8807, predictive_accuracy: 0.8774, prior_entropy: 1, recall: 0.8774, relative_absolute_error: 0.2453, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3502, root_relative_squared_error: 0.7004, usercpu_time_millis: 0.946, usercpu_time_millis_testing: 0.229, usercpu_time_millis_training: 0.717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6698, f_measure: 0.6648, kappa: 0.3396, kb_relative_information_score: 36, mean_absolute_error: 0.3302, mean_prior_absolute_error: 0.5, number_of_instances: 106, precision: 0.6807, predictive_accuracy: 0.6698, prior_entropy: 1, recall: 0.6698, relative_absolute_error: 0.6604, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5746, root_relative_squared_error: 1.1492, usercpu_time_millis: 1.035, usercpu_time_millis_testing: 0.624, usercpu_time_millis_training: 0.411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8774, f_measure: 0.8773, kappa: 0.7547, kb_relative_information_score: 80, mean_absolute_error: 0.1226, mean_prior_absolute_error: 0.5, number_of_instances: 106, precision: 0.8786, predictive_accuracy: 0.8774, prior_entropy: 1, recall: 0.8774, relative_absolute_error: 0.2453, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3502, root_relative_squared_error: 0.7004, usercpu_time_millis: 117.733, usercpu_time_millis_testing: 1.313, usercpu_time_millis_training: 116.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8113, f_measure: 0.8113, kappa: 0.6226, kb_relative_information_score: 66, mean_absolute_error: 0.1887, mean_prior_absolute_error: 0.5, number_of_instances: 106, precision: 0.8113, predictive_accuracy: 0.8113, prior_entropy: 1, recall: 0.8113, relative_absolute_error: 0.3774, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4344, root_relative_squared_error: 0.8687, usercpu_time_millis: 35.702, usercpu_time_millis_testing: 1.802, usercpu_time_millis_training: 33.9,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, f_measure: 0.934, kappa: 0.8679, kb_relative_information_score: 92, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.5, number_of_instances: 106, precision: 0.9341, predictive_accuracy: 0.934, prior_entropy: 1, recall: 0.934, relative_absolute_error: 0.1321, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.257, root_relative_squared_error: 0.514, usercpu_time_millis: 527.689, usercpu_time_millis_testing: 62.776, usercpu_time_millis_training: 464.913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8585, f_measure: 0.8584, kappa: 0.717, kb_relative_information_score: 76, mean_absolute_error: 0.1415, mean_prior_absolute_error: 0.5, number_of_instances: 106, precision: 0.8596, predictive_accuracy: 0.8585, prior_entropy: 1, recall: 0.8585, relative_absolute_error: 0.283, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3762, root_relative_squared_error: 0.7524, usercpu_time_millis: 1.152, usercpu_time_millis_testing: 0.291, usercpu_time_millis_training: 0.861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, f_measure: 0.934, kappa: 0.8679, kb_relative_information_score: 92, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.5, number_of_instances: 106, precision: 0.9341, predictive_accuracy: 0.934, prior_entropy: 1, recall: 0.934, relative_absolute_error: 0.1321, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.257, root_relative_squared_error: 0.514, usercpu_time_millis: 14.169, usercpu_time_millis_testing: 3.891, usercpu_time_millis_training: 10.278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9528, f_measure: 0.9528, kappa: 0.9057, kb_relative_information_score: 96, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.5, number_of_instances: 106, precision: 0.953, predictive_accuracy: 0.9528, prior_entropy: 1, recall: 0.9528, relative_absolute_error: 0.0943, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2172, root_relative_squared_error: 0.4344, usercpu_time_millis: 1.932, usercpu_time_millis_testing: 0.376, usercpu_time_millis_training: 1.556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9245, f_measure: 0.9245, kappa: 0.8491, kb_relative_information_score: 90, mean_absolute_error: 0.0755, mean_prior_absolute_error: 0.5, number_of_instances: 106, precision: 0.9251, predictive_accuracy: 0.9245, prior_entropy: 1, recall: 0.9245, relative_absolute_error: 0.1509, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2747, root_relative_squared_error: 0.5494, usercpu_time_millis: 3.819, usercpu_time_millis_testing: 0.511, usercpu_time_millis_training: 3.308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6321, f_measure: 0.6318, kappa: 0.2642, kb_relative_information_score: 28, mean_absolute_error: 0.3679, mean_prior_absolute_error: 0.5, number_of_instances: 106, precision: 0.6325, predictive_accuracy: 0.6321, prior_entropy: 1, recall: 0.6321, relative_absolute_error: 0.7358, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6066, root_relative_squared_error: 1.2131, usercpu_time_millis: 2.711, usercpu_time_millis_testing: 0.794, usercpu_time_millis_training: 1.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8585, f_measure: 0.8585, kappa: 0.717, kb_relative_information_score: 76, mean_absolute_error: 0.1415, mean_prior_absolute_error: 0.5, number_of_instances: 106, precision: 0.8586, predictive_accuracy: 0.8585, prior_entropy: 1, recall: 0.8585, relative_absolute_error: 0.283, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3762, root_relative_squared_error: 0.7524, usercpu_time_millis: 10.867, usercpu_time_millis_testing: 5.123, usercpu_time_millis_training: 5.744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6887, f_measure: 0.6884, kappa: 0.3774, kb_relative_information_score: 40, mean_absolute_error: 0.3113, mean_prior_absolute_error: 0.5, number_of_instances: 106, precision: 0.6893, predictive_accuracy: 0.6887, prior_entropy: 1, recall: 0.6887, relative_absolute_error: 0.6226, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.558, root_relative_squared_error: 1.1159, usercpu_time_millis: 9.433, usercpu_time_millis_testing: 4.33, usercpu_time_millis_training: 5.103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8774, f_measure: 0.8773, kappa: 0.7547, kb_relative_information_score: 80, mean_absolute_error: 0.1226, mean_prior_absolute_error: 0.5, number_of_instances: 106, precision: 0.8775, predictive_accuracy: 0.8774, prior_entropy: 1, recall: 0.8774, relative_absolute_error: 0.2453, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3502, root_relative_squared_error: 0.7004, usercpu_time_millis: 3.469, usercpu_time_millis_testing: 0.825, usercpu_time_millis_training: 2.644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9057, f_measure: 0.9054, kappa: 0.8113, kb_relative_information_score: 86, mean_absolute_error: 0.0943, mean_prior_absolute_error: 0.5, number_of_instances: 106, precision: 0.9109, predictive_accuracy: 0.9057, prior_entropy: 1, recall: 0.9057, relative_absolute_error: 0.1887, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3071, root_relative_squared_error: 0.6143, usercpu_time_millis: 0.831, usercpu_time_millis_testing: 0.304, usercpu_time_millis_training: 0.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8962, f_measure: 0.8961, kappa: 0.7925, kb_relative_information_score: 84, mean_absolute_error: 0.1038, mean_prior_absolute_error: 0.5, number_of_instances: 106, precision: 0.8975, predictive_accuracy: 0.8962, prior_entropy: 1, recall: 0.8962, relative_absolute_error: 0.2075, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3221, root_relative_squared_error: 0.6443, usercpu_time_millis: 1.45, usercpu_time_millis_testing: 0.743, usercpu_time_millis_training: 0.707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6321, f_measure: 0.6318, kappa: 0.2642, kb_relative_information_score: 28, mean_absolute_error: 0.3679, mean_prior_absolute_error: 0.5, number_of_instances: 106, precision: 0.6325, predictive_accuracy: 0.6321, prior_entropy: 1, recall: 0.6321, relative_absolute_error: 0.7358, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6066, root_relative_squared_error: 1.2131, usercpu_time_millis: 1.771, usercpu_time_millis_testing: 0.415, usercpu_time_millis_training: 1.356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.717, f_measure: 0.7161, kappa: 0.434, kb_relative_information_score: 46, mean_absolute_error: 0.283, mean_prior_absolute_error: 0.5, number_of_instances: 106, precision: 0.7198, predictive_accuracy: 0.717, prior_entropy: 1, recall: 0.717, relative_absolute_error: 0.566, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.532, root_relative_squared_error: 1.064, usercpu_time_millis: 1.691, usercpu_time_millis_testing: 0.722, usercpu_time_millis_training: 0.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8868, f_measure: 0.8861, kappa: 0.7736, kb_relative_information_score: 82, mean_absolute_error: 0.1132, mean_prior_absolute_error: 0.5, number_of_instances: 106, precision: 0.8958, predictive_accuracy: 0.8868, prior_entropy: 1, recall: 0.8868, relative_absolute_error: 0.2264, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3365, root_relative_squared_error: 0.6729, usercpu_time_millis: 1.393, usercpu_time_millis_testing: 1.334, usercpu_time_millis_training: 0.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9245, f_measure: 0.9244, kappa: 0.8491, kb_relative_information_score: 90, mean_absolute_error: 0.0755, mean_prior_absolute_error: 0.5, number_of_instances: 106, precision: 0.927, predictive_accuracy: 0.9245, prior_entropy: 1, recall: 0.9245, relative_absolute_error: 0.1509, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2747, root_relative_squared_error: 0.5494, usercpu_time_millis: 1.291, usercpu_time_millis_testing: 0.347, usercpu_time_millis_training: 0.944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7925, f_measure: 0.7924, kappa: 0.5849, kb_relative_information_score: 62, mean_absolute_error: 0.2075, mean_prior_absolute_error: 0.5, number_of_instances: 106, precision: 0.7929, predictive_accuracy: 0.7925, prior_entropy: 1, recall: 0.7925, relative_absolute_error: 0.4151, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4556, root_relative_squared_error: 0.9111, usercpu_time_millis: 9.432, usercpu_time_millis_testing: 4.352, usercpu_time_millis_training: 5.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8019, f_measure: 0.801, kappa: 0.6038, kb_relative_information_score: 64, mean_absolute_error: 0.1981, mean_prior_absolute_error: 0.5, number_of_instances: 106, precision: 0.8072, predictive_accuracy: 0.8019, prior_entropy: 1, recall: 0.8019, relative_absolute_error: 0.3962, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4451, root_relative_squared_error: 0.8902, usercpu_time_millis: 9.11, usercpu_time_millis_testing: 4.181, usercpu_time_millis_training: 4.929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8302, f_measure: 0.8292, kappa: 0.6604, kb_relative_information_score: 70, mean_absolute_error: 0.1698, mean_prior_absolute_error: 0.5, number_of_instances: 106, precision: 0.8379, predictive_accuracy: 0.8302, prior_entropy: 1, recall: 0.8302, relative_absolute_error: 0.3396, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4121, root_relative_squared_error: 0.8242, usercpu_time_millis: 9.058, usercpu_time_millis_testing: 4.327, usercpu_time_millis_training: 4.731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9057, f_measure: 0.9056, kappa: 0.8113, kb_relative_information_score: 86, mean_absolute_error: 0.0943, mean_prior_absolute_error: 0.5, number_of_instances: 106, precision: 0.9062, predictive_accuracy: 0.9057, prior_entropy: 1, recall: 0.9057, relative_absolute_error: 0.1887, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3071, root_relative_squared_error: 0.6143, usercpu_time_millis: 2.564, usercpu_time_millis_testing: 1.194, usercpu_time_millis_training: 1.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9057, f_measure: 0.9057, kappa: 0.8113, kb_relative_information_score: 86, mean_absolute_error: 0.0943, mean_prior_absolute_error: 0.5, number_of_instances: 106, precision: 0.9057, predictive_accuracy: 0.9057, prior_entropy: 1, recall: 0.9057, relative_absolute_error: 0.1887, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3071, root_relative_squared_error: 0.6143, usercpu_time_millis: 2.246, usercpu_time_millis_testing: 0.4, usercpu_time_millis_training: 1.846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8585, f_measure: 0.8585, kappa: 0.717, kb_relative_information_score: 76, mean_absolute_error: 0.1415, mean_prior_absolute_error: 0.5, number_of_instances: 106, precision: 0.8586, predictive_accuracy: 0.8585, prior_entropy: 1, recall: 0.8585, relative_absolute_error: 0.283, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3762, root_relative_squared_error: 0.7524, usercpu_time_millis: 1.393, usercpu_time_millis_testing: 0.369, usercpu_time_millis_training: 1.024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7642, f_measure: 0.764, kappa: 0.5283, kb_relative_information_score: 56, mean_absolute_error: 0.2358, mean_prior_absolute_error: 0.5, number_of_instances: 106, precision: 0.765, predictive_accuracy: 0.7642, prior_entropy: 1, recall: 0.7642, relative_absolute_error: 0.4717, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4856, root_relative_squared_error: 0.9713, usercpu_time_millis: 5.552, usercpu_time_millis_testing: 1.591, usercpu_time_millis_training: 3.961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9528, f_measure: 0.9528, kappa: 0.9057, kb_relative_information_score: 96, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.5, number_of_instances: 106, precision: 0.953, predictive_accuracy: 0.9528, prior_entropy: 1, recall: 0.9528, relative_absolute_error: 0.0943, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2172, root_relative_squared_error: 0.4344, usercpu_time_millis: 15.28, usercpu_time_millis_testing: 1.645, usercpu_time_millis_training: 13.635,

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