Task
Supervised Classification on rabe_266

Supervised Classification on rabe_266

Task 3647 Supervised Classification rabe_266 1585 runs submitted
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  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 study_7 study_73 under100k under1m
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1585 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9507, f_measure: 0.95, kappa: 0.8999, kb_relative_information_score: 107.951, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9506, predictive_accuracy: 0.95, prior_entropy: 0.9983, recall: 0.95, relative_absolute_error: 0.1002, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2236, root_relative_squared_error: 0.4478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8592, f_measure: 0.8749, kappa: 0.7508, kb_relative_information_score: 77.7666, mean_absolute_error: 0.1904, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.8809, predictive_accuracy: 0.875, prior_entropy: 0.9983, recall: 0.875, relative_absolute_error: 0.3817, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3315, root_relative_squared_error: 0.6637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.975, kappa: 0.9499, kb_relative_information_score: 103.7767, mean_absolute_error: 0.0747, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9752, predictive_accuracy: 0.975, prior_entropy: 0.9983, recall: 0.975, relative_absolute_error: 0.1498, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1635, root_relative_squared_error: 0.3274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9348, f_measure: 0.9334, kappa: 0.8668, kb_relative_information_score: 103.937, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9355, predictive_accuracy: 0.9333, prior_entropy: 0.9983, recall: 0.9333, relative_absolute_error: 0.1337, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2582, root_relative_squared_error: 0.517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9667, kappa: 0.9332, kb_relative_information_score: 109.2436, mean_absolute_error: 0.0465, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9667, predictive_accuracy: 0.9667, prior_entropy: 0.9983, recall: 0.9667, relative_absolute_error: 0.0932, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1646, root_relative_squared_error: 0.3297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9402, f_measure: 0.9417, kappa: 0.8835, kb_relative_information_score: 93.9936, mean_absolute_error: 0.1152, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.945, predictive_accuracy: 0.9417, prior_entropy: 0.9983, recall: 0.9417, relative_absolute_error: 0.231, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2752, root_relative_squared_error: 0.5511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9389, f_measure: 0.9333, kappa: 0.8663, kb_relative_information_score: 101.8203, mean_absolute_error: 0.0783, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9333, predictive_accuracy: 0.9333, prior_entropy: 0.9983, recall: 0.9333, relative_absolute_error: 0.157, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2507, root_relative_squared_error: 0.502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.925, kappa: 0.8495, kb_relative_information_score: 93.6237, mean_absolute_error: 0.1177, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9251, predictive_accuracy: 0.925, prior_entropy: 0.9983, recall: 0.925, relative_absolute_error: 0.236, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2312, root_relative_squared_error: 0.463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9583, kappa: 0.9164, kb_relative_information_score: 106.3775, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9584, predictive_accuracy: 0.9583, prior_entropy: 0.9983, recall: 0.9583, relative_absolute_error: 0.118, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1864, root_relative_squared_error: 0.3732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.95, kappa: 0.9001, kb_relative_information_score: 101.6256, mean_absolute_error: 0.0829, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9522, predictive_accuracy: 0.95, prior_entropy: 0.9983, recall: 0.95, relative_absolute_error: 0.1663, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1876, root_relative_squared_error: 0.3758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.925, kappa: 0.8495, kb_relative_information_score: 93.544, mean_absolute_error: 0.1173, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9251, predictive_accuracy: 0.925, prior_entropy: 0.9983, recall: 0.925, relative_absolute_error: 0.2352, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2386, root_relative_squared_error: 0.4779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.975, kappa: 0.9499, kb_relative_information_score: 110.7311, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9752, predictive_accuracy: 0.975, prior_entropy: 0.9983, recall: 0.975, relative_absolute_error: 0.0797, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1671, root_relative_squared_error: 0.3346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.95, kappa: 0.8997, kb_relative_information_score: 107.9567, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.95, predictive_accuracy: 0.95, prior_entropy: 0.9983, recall: 0.95, relative_absolute_error: 0.1002, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2174, root_relative_squared_error: 0.4353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.95, kappa: 0.8997, kb_relative_information_score: 105.5986, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.95, predictive_accuracy: 0.95, prior_entropy: 0.9983, recall: 0.95, relative_absolute_error: 0.1238, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1885, root_relative_squared_error: 0.3774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9542, f_measure: 0.9084, kappa: 0.8167, kb_relative_information_score: 82.5898, mean_absolute_error: 0.1694, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9096, predictive_accuracy: 0.9083, prior_entropy: 0.9983, recall: 0.9083, relative_absolute_error: 0.3395, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2722, root_relative_squared_error: 0.545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9584, kappa: 0.9167, kb_relative_information_score: 95.3058, mean_absolute_error: 0.117, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9596, predictive_accuracy: 0.9583, prior_entropy: 0.9983, recall: 0.9583, relative_absolute_error: 0.2345, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1926, root_relative_squared_error: 0.3858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9609, f_measure: 0.9084, kappa: 0.8167, kb_relative_information_score: 89.4381, mean_absolute_error: 0.1334, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9096, predictive_accuracy: 0.9083, prior_entropy: 0.9983, recall: 0.9083, relative_absolute_error: 0.2675, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2699, root_relative_squared_error: 0.5404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9609, f_measure: 0.9084, kappa: 0.8167, kb_relative_information_score: 89.4381, mean_absolute_error: 0.1334, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9096, predictive_accuracy: 0.9083, prior_entropy: 0.9983, recall: 0.9083, relative_absolute_error: 0.2675, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2699, root_relative_squared_error: 0.5404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9667, kappa: 0.9332, kb_relative_information_score: 100.1428, mean_absolute_error: 0.09, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9667, predictive_accuracy: 0.9667, prior_entropy: 0.9983, recall: 0.9667, relative_absolute_error: 0.1803, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.187, root_relative_squared_error: 0.3745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.9416, kappa: 0.8829, kb_relative_information_score: 104.6428, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9417, predictive_accuracy: 0.9417, prior_entropy: 0.9983, recall: 0.9417, relative_absolute_error: 0.132, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1994, root_relative_squared_error: 0.3992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9417, kappa: 0.8833, kb_relative_information_score: 101.4667, mean_absolute_error: 0.0813, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9429, predictive_accuracy: 0.9417, prior_entropy: 0.9983, recall: 0.9417, relative_absolute_error: 0.1629, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1961, root_relative_squared_error: 0.3927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9337, f_measure: 0.8749, kappa: 0.7508, kb_relative_information_score: 59.7069, mean_absolute_error: 0.2798, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.8809, predictive_accuracy: 0.875, prior_entropy: 0.9983, recall: 0.875, relative_absolute_error: 0.561, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3246, root_relative_squared_error: 0.6499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4649, f_measure: 0.3615, kb_relative_information_score: -0.1161, mean_absolute_error: 0.4991, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.2756, predictive_accuracy: 0.525, prior_entropy: 0.9983, recall: 0.525, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.95, kappa: 0.8997, kb_relative_information_score: 101.7613, mean_absolute_error: 0.0807, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.95, predictive_accuracy: 0.95, prior_entropy: 0.9983, recall: 0.95, relative_absolute_error: 0.1618, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1874, root_relative_squared_error: 0.3753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9411, f_measure: 0.8917, kappa: 0.7837, kb_relative_information_score: 87.1415, mean_absolute_error: 0.1437, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.8948, predictive_accuracy: 0.8917, prior_entropy: 0.9983, recall: 0.8917, relative_absolute_error: 0.288, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.283, root_relative_squared_error: 0.5666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9411, f_measure: 0.8917, kappa: 0.7837, kb_relative_information_score: 87.1415, mean_absolute_error: 0.1437, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.8948, predictive_accuracy: 0.8917, prior_entropy: 0.9983, recall: 0.8917, relative_absolute_error: 0.288, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.283, root_relative_squared_error: 0.5666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.925, kappa: 0.8495, kb_relative_information_score: 93.4182, mean_absolute_error: 0.1188, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9251, predictive_accuracy: 0.925, prior_entropy: 0.9983, recall: 0.925, relative_absolute_error: 0.2382, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2309, root_relative_squared_error: 0.4624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9094, f_measure: 0.9084, kappa: 0.8167, kb_relative_information_score: 97.916, mean_absolute_error: 0.0917, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9096, predictive_accuracy: 0.9083, prior_entropy: 0.9983, recall: 0.9083, relative_absolute_error: 0.1838, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3028, root_relative_squared_error: 0.6063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9094, f_measure: 0.9084, kappa: 0.8167, kb_relative_information_score: 97.916, mean_absolute_error: 0.0917, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9096, predictive_accuracy: 0.9083, prior_entropy: 0.9983, recall: 0.9083, relative_absolute_error: 0.1838, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3028, root_relative_squared_error: 0.6063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9424, f_measure: 0.9, kappa: 0.7995, kb_relative_information_score: 95.826, mean_absolute_error: 0.1007, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9, predictive_accuracy: 0.9, prior_entropy: 0.9983, recall: 0.9, relative_absolute_error: 0.2019, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2916, root_relative_squared_error: 0.584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.9084, kappa: 0.8167, kb_relative_information_score: 93.1401, mean_absolute_error: 0.1188, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9096, predictive_accuracy: 0.9083, prior_entropy: 0.9983, recall: 0.9083, relative_absolute_error: 0.2382, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.251, root_relative_squared_error: 0.5027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, f_measure: 0.9583, kappa: 0.9165, kb_relative_information_score: 108.0942, mean_absolute_error: 0.0512, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9585, predictive_accuracy: 0.9583, prior_entropy: 0.9983, recall: 0.9583, relative_absolute_error: 0.1026, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1962, root_relative_squared_error: 0.3929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.925, kappa: 0.8495, kb_relative_information_score: 93.3464, mean_absolute_error: 0.1184, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9251, predictive_accuracy: 0.925, prior_entropy: 0.9983, recall: 0.925, relative_absolute_error: 0.2374, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2382, root_relative_squared_error: 0.4771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9586, f_measure: 0.9583, kappa: 0.9165, kb_relative_information_score: 109.958, mean_absolute_error: 0.0417, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9585, predictive_accuracy: 0.9583, prior_entropy: 0.9983, recall: 0.9583, relative_absolute_error: 0.0835, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2041, root_relative_squared_error: 0.4088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.95, kappa: 0.8999, kb_relative_information_score: 107.1068, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9506, predictive_accuracy: 0.95, prior_entropy: 0.9983, recall: 0.95, relative_absolute_error: 0.1119, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1693, root_relative_squared_error: 0.339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9424, f_measure: 0.9, kappa: 0.7995, kb_relative_information_score: 95.826, mean_absolute_error: 0.1007, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9, predictive_accuracy: 0.9, prior_entropy: 0.9983, recall: 0.9, relative_absolute_error: 0.2019, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2916, root_relative_squared_error: 0.584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.967, f_measure: 0.9167, kappa: 0.8332, kb_relative_information_score: 74.9744, mean_absolute_error: 0.2108, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9173, predictive_accuracy: 0.9167, prior_entropy: 0.9983, recall: 0.9167, relative_absolute_error: 0.4225, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2764, root_relative_squared_error: 0.5534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9582, kappa: 0.9161, kb_relative_information_score: 95.5888, mean_absolute_error: 0.1147, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9614, predictive_accuracy: 0.9583, prior_entropy: 0.9983, recall: 0.9583, relative_absolute_error: 0.23, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1945, root_relative_squared_error: 0.3894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9833, kappa: 0.9666, kb_relative_information_score: 114.5396, mean_absolute_error: 0.0234, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9839, predictive_accuracy: 0.9833, prior_entropy: 0.9983, recall: 0.9833, relative_absolute_error: 0.0469, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1238, root_relative_squared_error: 0.2479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9833, kappa: 0.9666, kb_relative_information_score: 114.2936, mean_absolute_error: 0.0242, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9833, predictive_accuracy: 0.9833, prior_entropy: 0.9983, recall: 0.9833, relative_absolute_error: 0.0486, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1279, root_relative_squared_error: 0.2561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9833, kappa: 0.9665, kb_relative_information_score: 115.6813, mean_absolute_error: 0.0182, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9838, predictive_accuracy: 0.9833, prior_entropy: 0.9983, recall: 0.9833, relative_absolute_error: 0.0366, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1265, root_relative_squared_error: 0.2533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.95, kappa: 0.8997, kb_relative_information_score: 108.9649, mean_absolute_error: 0.0454, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.95, predictive_accuracy: 0.95, prior_entropy: 0.9983, recall: 0.95, relative_absolute_error: 0.0911, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1986, root_relative_squared_error: 0.3977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9833, kappa: 0.9666, kb_relative_information_score: 116.8146, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9839, predictive_accuracy: 0.9833, prior_entropy: 0.9983, recall: 0.9833, relative_absolute_error: 0.0261, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1047, root_relative_squared_error: 0.2096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9833, kappa: 0.9666, kb_relative_information_score: 114.6909, mean_absolute_error: 0.0224, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9833, predictive_accuracy: 0.9833, prior_entropy: 0.9983, recall: 0.9833, relative_absolute_error: 0.0448, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1369, root_relative_squared_error: 0.2741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9833, kappa: 0.9666, kb_relative_information_score: 116.8539, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9833, predictive_accuracy: 0.9833, prior_entropy: 0.9983, recall: 0.9833, relative_absolute_error: 0.0257, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.0847, root_relative_squared_error: 0.1696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9584, kappa: 0.9167, kb_relative_information_score: 109.9541, mean_absolute_error: 0.0413, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9596, predictive_accuracy: 0.9583, prior_entropy: 0.9983, recall: 0.9583, relative_absolute_error: 0.0827, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1771, root_relative_squared_error: 0.3547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9583, kappa: 0.9168, kb_relative_information_score: 108.9401, mean_absolute_error: 0.046, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9617, predictive_accuracy: 0.9583, prior_entropy: 0.9983, recall: 0.9583, relative_absolute_error: 0.0922, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1981, root_relative_squared_error: 0.3968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.975, kappa: 0.9498, kb_relative_information_score: 112.8769, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9751, predictive_accuracy: 0.975, prior_entropy: 0.9983, recall: 0.975, relative_absolute_error: 0.0588, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1425, root_relative_squared_error: 0.2854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.975, kappa: 0.9499, kb_relative_information_score: 112.6581, mean_absolute_error: 0.0311, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9752, predictive_accuracy: 0.975, prior_entropy: 0.9983, recall: 0.975, relative_absolute_error: 0.0623, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1521, root_relative_squared_error: 0.3046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9584, kappa: 0.9167, kb_relative_information_score: 110.2644, mean_absolute_error: 0.0402, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9596, predictive_accuracy: 0.9583, prior_entropy: 0.9983, recall: 0.9583, relative_absolute_error: 0.0805, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1945, root_relative_squared_error: 0.3894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9583, kappa: 0.9164, kb_relative_information_score: 112.1404, mean_absolute_error: 0.0318, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9584, predictive_accuracy: 0.9583, prior_entropy: 0.9983, recall: 0.9583, relative_absolute_error: 0.0638, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1584, root_relative_squared_error: 0.3172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.9333, kappa: 0.867, kb_relative_information_score: 89.951, mean_absolute_error: 0.1381, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.938, predictive_accuracy: 0.9333, prior_entropy: 0.9983, recall: 0.9333, relative_absolute_error: 0.2768, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2434, root_relative_squared_error: 0.4873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8805, f_measure: 0.8251, kappa: 0.6494, kb_relative_information_score: 27.4838, mean_absolute_error: 0.4064, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.8252, predictive_accuracy: 0.825, prior_entropy: 0.9983, recall: 0.825, relative_absolute_error: 0.8148, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4204, root_relative_squared_error: 0.8419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9694, f_measure: 0.8913, kappa: 0.7848, kb_relative_information_score: 86.4577, mean_absolute_error: 0.1487, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9061, predictive_accuracy: 0.8917, prior_entropy: 0.9983, recall: 0.8917, relative_absolute_error: 0.2982, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2719, root_relative_squared_error: 0.5444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9663, f_measure: 0.8916, kappa: 0.7841, kb_relative_information_score: 85.6987, mean_absolute_error: 0.1513, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.8977, predictive_accuracy: 0.8917, prior_entropy: 0.9983, recall: 0.8917, relative_absolute_error: 0.3033, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2755, root_relative_squared_error: 0.5517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.9, kappa: 0.8005, kb_relative_information_score: 86.9796, mean_absolute_error: 0.1471, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9045, predictive_accuracy: 0.9, prior_entropy: 0.9983, recall: 0.9, relative_absolute_error: 0.2948, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2591, root_relative_squared_error: 0.5188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.8999, kappa: 0.8008, kb_relative_information_score: 91.8541, mean_absolute_error: 0.1233, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9078, predictive_accuracy: 0.9, prior_entropy: 0.9983, recall: 0.9, relative_absolute_error: 0.2471, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2415, root_relative_squared_error: 0.4835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.8995, kappa: 0.8015, kb_relative_information_score: 93.3579, mean_absolute_error: 0.1141, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9174, predictive_accuracy: 0.9, prior_entropy: 0.9983, recall: 0.9, relative_absolute_error: 0.2287, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2493, root_relative_squared_error: 0.4993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9488, f_measure: 0.8833, kappa: 0.7672, kb_relative_information_score: 92.0248, mean_absolute_error: 0.1156, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.8878, predictive_accuracy: 0.8833, prior_entropy: 0.9983, recall: 0.8833, relative_absolute_error: 0.2318, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3274, root_relative_squared_error: 0.6556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9335, f_measure: 0.8749, kappa: 0.7508, kb_relative_information_score: 91.553, mean_absolute_error: 0.1184, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.8809, predictive_accuracy: 0.875, prior_entropy: 0.9983, recall: 0.875, relative_absolute_error: 0.2374, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3061, root_relative_squared_error: 0.6129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8996, f_measure: 0.771, kappa: 0.5439, kb_relative_information_score: 73.7999, mean_absolute_error: 0.1899, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.7863, predictive_accuracy: 0.775, prior_entropy: 0.9983, recall: 0.775, relative_absolute_error: 0.3807, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3751, root_relative_squared_error: 0.7511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9236, f_measure: 0.9083, kappa: 0.8173, kb_relative_information_score: 95.6773, mean_absolute_error: 0.1017, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9145, predictive_accuracy: 0.9083, prior_entropy: 0.9983, recall: 0.9083, relative_absolute_error: 0.2039, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2955, root_relative_squared_error: 0.5917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9151, f_measure: 0.8584, kappa: 0.7171, kb_relative_information_score: 89.7101, mean_absolute_error: 0.1261, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.8614, predictive_accuracy: 0.8583, prior_entropy: 0.9983, recall: 0.8583, relative_absolute_error: 0.2528, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3164, root_relative_squared_error: 0.6337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9667, kappa: 0.9334, kb_relative_information_score: 109.5298, mean_absolute_error: 0.0437, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9689, predictive_accuracy: 0.9667, prior_entropy: 0.9983, recall: 0.9667, relative_absolute_error: 0.0875, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1913, root_relative_squared_error: 0.383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.975, kappa: 0.9499, kb_relative_information_score: 113.0194, mean_absolute_error: 0.0291, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9752, predictive_accuracy: 0.975, prior_entropy: 0.9983, recall: 0.975, relative_absolute_error: 0.0583, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1227, root_relative_squared_error: 0.2457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.975, kappa: 0.9499, kb_relative_information_score: 113.8513, mean_absolute_error: 0.025, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9752, predictive_accuracy: 0.975, prior_entropy: 0.9983, recall: 0.975, relative_absolute_error: 0.0502, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1379, root_relative_squared_error: 0.2761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9833, kappa: 0.9666, kb_relative_information_score: 114.0394, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9833, predictive_accuracy: 0.9833, prior_entropy: 0.9983, recall: 0.9833, relative_absolute_error: 0.0517, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.119, root_relative_squared_error: 0.2384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9583, kappa: 0.9165, kb_relative_information_score: 109.1684, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9585, predictive_accuracy: 0.9583, prior_entropy: 0.9983, recall: 0.9583, relative_absolute_error: 0.0904, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1957, root_relative_squared_error: 0.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.975, kappa: 0.9499, kb_relative_information_score: 113.0304, mean_absolute_error: 0.0295, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9752, predictive_accuracy: 0.975, prior_entropy: 0.9983, recall: 0.975, relative_absolute_error: 0.0592, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1357, root_relative_squared_error: 0.2718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8647, f_measure: 0.6261, kappa: 0.2769, kb_relative_information_score: 40.4954, mean_absolute_error: 0.3302, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.6561, predictive_accuracy: 0.6333, prior_entropy: 0.9983, recall: 0.6333, relative_absolute_error: 0.6619, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4466, root_relative_squared_error: 0.8943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.95, kappa: 0.9001, kb_relative_information_score: 103.5532, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9522, predictive_accuracy: 0.95, prior_entropy: 0.9983, recall: 0.95, relative_absolute_error: 0.1505, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1725, root_relative_squared_error: 0.3455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9833, kappa: 0.9666, kb_relative_information_score: 114.2949, mean_absolute_error: 0.0253, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9839, predictive_accuracy: 0.9833, prior_entropy: 0.9983, recall: 0.9833, relative_absolute_error: 0.0507, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1226, root_relative_squared_error: 0.2456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9463, f_measure: 0.8832, kappa: 0.7676, kb_relative_information_score: 91.7704, mean_absolute_error: 0.1181, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.891, predictive_accuracy: 0.8833, prior_entropy: 0.9983, recall: 0.8833, relative_absolute_error: 0.2368, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3258, root_relative_squared_error: 0.6525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5186, f_measure: 0.3921, kappa: 0.0056, kb_relative_information_score: -3.4285, mean_absolute_error: 0.5122, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.5091, predictive_accuracy: 0.4833, prior_entropy: 0.9983, recall: 0.4833, relative_absolute_error: 1.0269, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.7075, root_relative_squared_error: 1.4167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6602, f_measure: 0.641, kappa: 0.2869, kb_relative_information_score: 26.7723, mean_absolute_error: 0.3931, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.6476, predictive_accuracy: 0.6417, prior_entropy: 0.9983, recall: 0.6417, relative_absolute_error: 0.7881, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.5392, root_relative_squared_error: 1.0798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8104, f_measure: 0.6147, kappa: 0.239, kb_relative_information_score: 38.7411, mean_absolute_error: 0.3336, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.6254, predictive_accuracy: 0.6167, prior_entropy: 0.9983, recall: 0.6167, relative_absolute_error: 0.6689, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4738, root_relative_squared_error: 0.9488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5709, f_measure: 0.5037, kappa: 0.0264, kb_relative_information_score: 2.0096, mean_absolute_error: 0.4896, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.5153, predictive_accuracy: 0.5083, prior_entropy: 0.9983, recall: 0.5083, relative_absolute_error: 0.9817, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.6229, root_relative_squared_error: 1.2473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9833, kappa: 0.9666, kb_relative_information_score: 113.3516, mean_absolute_error: 0.0285, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9839, predictive_accuracy: 0.9833, prior_entropy: 0.9983, recall: 0.9833, relative_absolute_error: 0.0571, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.142, root_relative_squared_error: 0.2843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9833, kappa: 0.9666, kb_relative_information_score: 104.4726, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9839, predictive_accuracy: 0.9833, prior_entropy: 0.9983, recall: 0.9833, relative_absolute_error: 0.1476, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1512, root_relative_squared_error: 0.3028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9833, kappa: 0.9666, kb_relative_information_score: 104.8547, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9839, predictive_accuracy: 0.9833, prior_entropy: 0.9983, recall: 0.9833, relative_absolute_error: 0.1442, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1499, root_relative_squared_error: 0.3002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9833, kappa: 0.9666, kb_relative_information_score: 105.2915, mean_absolute_error: 0.0697, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9833, predictive_accuracy: 0.9833, prior_entropy: 0.9983, recall: 0.9833, relative_absolute_error: 0.1398, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1467, root_relative_squared_error: 0.2937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9667, kappa: 0.9332, kb_relative_information_score: 102.8128, mean_absolute_error: 0.0796, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9667, predictive_accuracy: 0.9667, prior_entropy: 0.9983, recall: 0.9667, relative_absolute_error: 0.1597, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1675, root_relative_squared_error: 0.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9582, kappa: 0.9161, kb_relative_information_score: 95.5693, mean_absolute_error: 0.1148, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9614, predictive_accuracy: 0.9583, prior_entropy: 0.9983, recall: 0.9583, relative_absolute_error: 0.2302, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1946, root_relative_squared_error: 0.3897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9582, kappa: 0.9161, kb_relative_information_score: 95.5505, mean_absolute_error: 0.1143, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9614, predictive_accuracy: 0.9583, prior_entropy: 0.9983, recall: 0.9583, relative_absolute_error: 0.2291, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1971, root_relative_squared_error: 0.3946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.975, kappa: 0.9499, kb_relative_information_score: 99.6337, mean_absolute_error: 0.0938, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9752, predictive_accuracy: 0.975, prior_entropy: 0.9983, recall: 0.975, relative_absolute_error: 0.1881, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1838, root_relative_squared_error: 0.368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9833, kappa: 0.9666, kb_relative_information_score: 106.6032, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9833, predictive_accuracy: 0.9833, prior_entropy: 0.9983, recall: 0.9833, relative_absolute_error: 0.1225, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1552, root_relative_squared_error: 0.3107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9833, kappa: 0.9666, kb_relative_information_score: 106.6032, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9833, predictive_accuracy: 0.9833, prior_entropy: 0.9983, recall: 0.9833, relative_absolute_error: 0.1225, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1552, root_relative_squared_error: 0.3107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9833, kappa: 0.9666, kb_relative_information_score: 104.0383, mean_absolute_error: 0.0759, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9839, predictive_accuracy: 0.9833, prior_entropy: 0.9983, recall: 0.9833, relative_absolute_error: 0.1522, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1534, root_relative_squared_error: 0.3073,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.95, kappa: 0.8999, kb_relative_information_score: 104.7633, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9506, predictive_accuracy: 0.95, prior_entropy: 0.9983, recall: 0.95, relative_absolute_error: 0.1337, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1848, root_relative_squared_error: 0.3701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9586, f_measure: 0.9583, kappa: 0.9165, kb_relative_information_score: 109.958, mean_absolute_error: 0.0417, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9585, predictive_accuracy: 0.9583, prior_entropy: 0.9983, recall: 0.9583, relative_absolute_error: 0.0835, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2041, root_relative_squared_error: 0.4088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.975, kappa: 0.9499, kb_relative_information_score: 113.972, mean_absolute_error: 0.025, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9752, predictive_accuracy: 0.975, prior_entropy: 0.9983, recall: 0.975, relative_absolute_error: 0.0501, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1581, root_relative_squared_error: 0.3166, scimark_benchmark: 1631.1992, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5639, f_measure: 0.5655, kappa: 0.1282, kb_relative_information_score: 15.6292, mean_absolute_error: 0.4333, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.5655, predictive_accuracy: 0.5667, prior_entropy: 0.9983, recall: 0.5667, relative_absolute_error: 0.8688, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.6583, root_relative_squared_error: 1.3182, scimark_benchmark: 1697.6783, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3615, kb_relative_information_score: 5.5942, mean_absolute_error: 0.475, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.2756, predictive_accuracy: 0.525, prior_entropy: 0.9983, recall: 0.525, relative_absolute_error: 0.9523, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.6892, root_relative_squared_error: 1.3801, scimark_benchmark: 1862.8608, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5639, f_measure: 0.5655, kappa: 0.1282, kb_relative_information_score: 15.6292, mean_absolute_error: 0.4333, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.5655, predictive_accuracy: 0.5667, prior_entropy: 0.9983, recall: 0.5667, relative_absolute_error: 0.8688, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.6583, root_relative_squared_error: 1.3182, scimark_benchmark: 1337.7021, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3615, kb_relative_information_score: 5.5942, mean_absolute_error: 0.475, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.2756, predictive_accuracy: 0.525, prior_entropy: 0.9983, recall: 0.525, relative_absolute_error: 0.9523, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.6892, root_relative_squared_error: 1.3801, scimark_benchmark: 1671.8556, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, 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

OpenML bootcamp

From your own software

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

OpenML APIs