OpenML
Supervised Classification on higgs

Supervised Classification on higgs

Task 146606 Supervised Classification higgs 14279 runs submitted
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14279 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7288, f_measure: 0.6415, kappa: 0.2875, kb_relative_information_score: 6361.7888, mean_absolute_error: 0.4738, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6556, predictive_accuracy: 0.6502, prior_entropy: 0.9976, recall: 0.6502, relative_absolute_error: 0.9508, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4779, root_relative_squared_error: 0.9574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 188.8175, mean_absolute_error: 0.4977, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 0.9986, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4993, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -3.0043, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 29.2524, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6583, f_measure: 0.5997, kappa: 0.2041, kb_relative_information_score: 6614.3027, mean_absolute_error: 0.4717, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6105, predictive_accuracy: 0.6091, prior_entropy: 0.9976, recall: 0.6091, relative_absolute_error: 0.9465, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4815, root_relative_squared_error: 0.9645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 31.2205, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.708, f_measure: 0.6028, kappa: 0.2213, kb_relative_information_score: 3660.0634, mean_absolute_error: 0.4847, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6292, predictive_accuracy: 0.6199, prior_entropy: 0.9976, recall: 0.6199, relative_absolute_error: 0.9725, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4867, root_relative_squared_error: 0.9751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7176, f_measure: 0.6499, kappa: 0.2973, kb_relative_information_score: 6082.6878, mean_absolute_error: 0.4751, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6515, predictive_accuracy: 0.6519, prior_entropy: 0.9976, recall: 0.6519, relative_absolute_error: 0.9533, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.479, root_relative_squared_error: 0.9595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -117.7883, mean_absolute_error: 0.4988, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6385, kb_relative_information_score: 5.2765, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4991, root_relative_squared_error: 0.9999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7028, f_measure: 0.6255, kappa: 0.2536, kb_relative_information_score: 8733.6755, mean_absolute_error: 0.4631, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6353, predictive_accuracy: 0.6329, prior_entropy: 0.9976, recall: 0.6329, relative_absolute_error: 0.9292, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4731, root_relative_squared_error: 0.9477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7641, f_measure: 0.6919, kappa: 0.3816, kb_relative_information_score: 21100.3032, mean_absolute_error: 0.4045, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6918, predictive_accuracy: 0.692, prior_entropy: 0.9976, recall: 0.692, relative_absolute_error: 0.8117, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4442, root_relative_squared_error: 0.8898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7303, f_measure: 0.6613, kappa: 0.3199, kb_relative_information_score: 14087.5763, mean_absolute_error: 0.4385, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6614, predictive_accuracy: 0.6619, prior_entropy: 0.9976, recall: 0.6619, relative_absolute_error: 0.8798, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4598, root_relative_squared_error: 0.9211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 7.0874, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7867, f_measure: 0.7112, kappa: 0.4201, kb_relative_information_score: 25051.4512, mean_absolute_error: 0.3852, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7113, predictive_accuracy: 0.7116, prior_entropy: 0.9976, recall: 0.7116, relative_absolute_error: 0.773, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4338, root_relative_squared_error: 0.8689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -51.7111, mean_absolute_error: 0.4985, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7337, f_measure: 0.6613, kappa: 0.3212, kb_relative_information_score: 4453.5324, mean_absolute_error: 0.4818, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6653, predictive_accuracy: 0.6645, prior_entropy: 0.9976, recall: 0.6645, relative_absolute_error: 0.9667, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4836, root_relative_squared_error: 0.9688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 79.7369, mean_absolute_error: 0.4981, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 58.2167, mean_absolute_error: 0.4981, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 4.2314, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7735, f_measure: 0.6993, kappa: 0.3964, kb_relative_information_score: 23589.5915, mean_absolute_error: 0.3918, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6992, predictive_accuracy: 0.6994, prior_entropy: 0.9976, recall: 0.6994, relative_absolute_error: 0.7863, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4396, root_relative_squared_error: 0.8806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7437, f_measure: 0.6734, kappa: 0.3441, kb_relative_information_score: 14402.5503, mean_absolute_error: 0.4378, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6741, predictive_accuracy: 0.6745, prior_entropy: 0.9976, recall: 0.6745, relative_absolute_error: 0.8784, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4572, root_relative_squared_error: 0.9159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6876, kb_relative_information_score: -74.9549, mean_absolute_error: 0.4986, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7417, f_measure: 0.6702, kappa: 0.3381, kb_relative_information_score: 10732.2535, mean_absolute_error: 0.455, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6721, predictive_accuracy: 0.6721, prior_entropy: 0.9976, recall: 0.6721, relative_absolute_error: 0.913, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4652, root_relative_squared_error: 0.9319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7379, f_measure: 0.3922, kappa: 0.0265, kb_relative_information_score: 1611.0063, mean_absolute_error: 0.4925, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7375, predictive_accuracy: 0.5404, prior_entropy: 0.9976, recall: 0.5404, relative_absolute_error: 0.9883, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4935, root_relative_squared_error: 0.9887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -61.9034, mean_absolute_error: 0.4986, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5982, kb_relative_information_score: 60.2736, mean_absolute_error: 0.4981, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4991, root_relative_squared_error: 0.9998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6458, kb_relative_information_score: 61.2433, mean_absolute_error: 0.4981, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.499, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7274, f_measure: 0.6614, kappa: 0.3202, kb_relative_information_score: 10307.3666, mean_absolute_error: 0.4566, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6624, predictive_accuracy: 0.6629, prior_entropy: 0.9976, recall: 0.6629, relative_absolute_error: 0.9161, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4674, root_relative_squared_error: 0.9363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 23.3151, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7396, f_measure: 0.6694, kappa: 0.3362, kb_relative_information_score: 14457.1093, mean_absolute_error: 0.4372, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6696, predictive_accuracy: 0.6701, prior_entropy: 0.9976, recall: 0.6701, relative_absolute_error: 0.8773, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4576, root_relative_squared_error: 0.9167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 28.0838, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7174, f_measure: 0.6494, kappa: 0.2961, kb_relative_information_score: 11525.464, mean_absolute_error: 0.4504, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6502, predictive_accuracy: 0.6508, prior_entropy: 0.9976, recall: 0.6508, relative_absolute_error: 0.9038, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4659, root_relative_squared_error: 0.9333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 11.3825, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 10.9065, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7049, kb_relative_information_score: 456.2304, mean_absolute_error: 0.4967, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 0.9968, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4975, root_relative_squared_error: 0.9967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 13.4396, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 64.7028, mean_absolute_error: 0.4981, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6881, f_measure: 0.631, kappa: 0.2593, kb_relative_information_score: 10482.5134, mean_absolute_error: 0.4542, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6322, predictive_accuracy: 0.633, prior_entropy: 0.9976, recall: 0.633, relative_absolute_error: 0.9114, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4722, root_relative_squared_error: 0.9459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -3.0251, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -26.2152, mean_absolute_error: 0.4985, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 22.9326, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6681, f_measure: 0.6111, kappa: 0.2245, kb_relative_information_score: 5346.5285, mean_absolute_error: 0.4775, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6195, predictive_accuracy: 0.6184, prior_entropy: 0.9976, recall: 0.6184, relative_absolute_error: 0.9582, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4831, root_relative_squared_error: 0.9678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6167, kb_relative_information_score: 912.8735, mean_absolute_error: 0.495, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 0.9933, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4962, root_relative_squared_error: 0.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -22.6454, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -18.5079, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -12.7609, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6501, kb_relative_information_score: 1.8682, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7722, f_measure: 0.6987, kappa: 0.3951, kb_relative_information_score: 21947.4878, mean_absolute_error: 0.4007, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6986, predictive_accuracy: 0.6989, prior_entropy: 0.9976, recall: 0.6989, relative_absolute_error: 0.804, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.441, root_relative_squared_error: 0.8834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 34.2418, mean_absolute_error: 0.4982, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -1.3936, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.716, f_measure: 0.6279, kappa: 0.2609, kb_relative_information_score: 7105.091, mean_absolute_error: 0.4706, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6416, predictive_accuracy: 0.6372, prior_entropy: 0.9976, recall: 0.6372, relative_absolute_error: 0.9443, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4767, root_relative_squared_error: 0.955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -7.7493, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7311, f_measure: 0.6599, kappa: 0.3189, kb_relative_information_score: 10285.7704, mean_absolute_error: 0.4568, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.665, predictive_accuracy: 0.6637, prior_entropy: 0.9976, recall: 0.6637, relative_absolute_error: 0.9165, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4674, root_relative_squared_error: 0.9363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7147, f_measure: 0.5499, kappa: 0.1637, kb_relative_information_score: 2517.547, mean_absolute_error: 0.4891, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6315, predictive_accuracy: 0.5972, prior_entropy: 0.9976, recall: 0.5972, relative_absolute_error: 0.9814, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4905, root_relative_squared_error: 0.9825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 36.8165, mean_absolute_error: 0.4982, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6918, f_measure: 0.6085, kappa: 0.2248, kb_relative_information_score: 4829.041, mean_absolute_error: 0.4798, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6245, predictive_accuracy: 0.6201, prior_entropy: 0.9976, recall: 0.6201, relative_absolute_error: 0.9628, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4837, root_relative_squared_error: 0.9689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 6.655, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6836, kb_relative_information_score: 175.9295, mean_absolute_error: 0.4978, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4982, root_relative_squared_error: 0.9981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 91.8134, mean_absolute_error: 0.498, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 22.682, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 12.9789, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.786, f_measure: 0.7104, kappa: 0.4187, kb_relative_information_score: 25726.318, mean_absolute_error: 0.3813, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7104, predictive_accuracy: 0.7105, prior_entropy: 0.9976, recall: 0.7105, relative_absolute_error: 0.7651, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4337, root_relative_squared_error: 0.8688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7091, f_measure: 0.6478, kappa: 0.2927, kb_relative_information_score: 13793.7146, mean_absolute_error: 0.4386, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6477, predictive_accuracy: 0.6483, prior_entropy: 0.9976, recall: 0.6483, relative_absolute_error: 0.8801, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4648, root_relative_squared_error: 0.9311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 26.1059, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7792, f_measure: 0.703, kappa: 0.4037, kb_relative_information_score: 12940.242, mean_absolute_error: 0.446, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7039, predictive_accuracy: 0.7041, prior_entropy: 0.9976, recall: 0.7041, relative_absolute_error: 0.8949, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4567, root_relative_squared_error: 0.9148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6662, f_measure: 0.6141, kappa: 0.2282, kb_relative_information_score: 7452.6974, mean_absolute_error: 0.468, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6195, predictive_accuracy: 0.6194, prior_entropy: 0.9976, recall: 0.6194, relative_absolute_error: 0.9391, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4794, root_relative_squared_error: 0.9604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6814, f_measure: 0.5828, kappa: 0.1893, kb_relative_information_score: 3265.8653, mean_absolute_error: 0.4862, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6162, predictive_accuracy: 0.6055, prior_entropy: 0.9976, recall: 0.6055, relative_absolute_error: 0.9756, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4888, root_relative_squared_error: 0.9792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 11.91, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6954, f_measure: 0.5969, kappa: 0.2046, kb_relative_information_score: 4299.1821, mean_absolute_error: 0.482, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6154, predictive_accuracy: 0.6107, prior_entropy: 0.9976, recall: 0.6107, relative_absolute_error: 0.9672, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4852, root_relative_squared_error: 0.972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.5525, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -1.7101, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6743, f_measure: 0.5661, kappa: 0.1804, kb_relative_information_score: 2465.9409, mean_absolute_error: 0.4893, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6304, predictive_accuracy: 0.604, prior_entropy: 0.9976, recall: 0.604, relative_absolute_error: 0.9818, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4909, root_relative_squared_error: 0.9834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -21.6792, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -88.761, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6871, kb_relative_information_score: 230.2895, mean_absolute_error: 0.4976, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4983, root_relative_squared_error: 0.9983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6115, kb_relative_information_score: 66.3009, mean_absolute_error: 0.4981, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.499, root_relative_squared_error: 0.9995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6291, f_measure: 0.5556, kappa: 0.1451, kb_relative_information_score: 1557.0031, mean_absolute_error: 0.4927, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.5946, predictive_accuracy: 0.5851, prior_entropy: 0.9976, recall: 0.5851, relative_absolute_error: 0.9885, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4942, root_relative_squared_error: 0.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -20.8723, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -12.0123, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7312, f_measure: 0.6506, kappa: 0.3026, kb_relative_information_score: 7578.4415, mean_absolute_error: 0.4688, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6596, predictive_accuracy: 0.6566, prior_entropy: 0.9976, recall: 0.6566, relative_absolute_error: 0.9406, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4743, root_relative_squared_error: 0.9502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 7.2406, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -32.6956, mean_absolute_error: 0.4985, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -53.4591, mean_absolute_error: 0.4985, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6194, kb_relative_information_score: 92.2778, mean_absolute_error: 0.498, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4989, root_relative_squared_error: 0.9994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7763, f_measure: 0.7018, kappa: 0.4013, kb_relative_information_score: 24366.6009, mean_absolute_error: 0.388, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7018, predictive_accuracy: 0.7022, prior_entropy: 0.9976, recall: 0.7022, relative_absolute_error: 0.7785, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4383, root_relative_squared_error: 0.878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -298.3177, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4995, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6905, kb_relative_information_score: 649.6925, mean_absolute_error: 0.496, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 0.9953, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4969, root_relative_squared_error: 0.9954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7476, f_measure: 0.6783, kappa: 0.3546, kb_relative_information_score: 18656.7881, mean_absolute_error: 0.4161, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6784, predictive_accuracy: 0.6783, prior_entropy: 0.9976, recall: 0.6783, relative_absolute_error: 0.835, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4509, root_relative_squared_error: 0.9033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6945, kb_relative_information_score: 45.6511, mean_absolute_error: 0.4982, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.499, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0.804, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 30.6148, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6935, kb_relative_information_score: 850.3571, mean_absolute_error: 0.4953, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 0.9938, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4962, root_relative_squared_error: 0.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -2.5693, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7022, kb_relative_information_score: -40.1989, mean_absolute_error: 0.4985, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4991, root_relative_squared_error: 0.9999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6308, f_measure: 0.581, kappa: 0.1687, kb_relative_information_score: 3675.7001, mean_absolute_error: 0.4841, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.5927, predictive_accuracy: 0.5922, prior_entropy: 0.9976, recall: 0.5922, relative_absolute_error: 0.9715, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4887, root_relative_squared_error: 0.979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 18.2222, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 15.9812, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -2.4778, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7004, f_measure: 0.6389, kappa: 0.2754, kb_relative_information_score: 9459.5909, mean_absolute_error: 0.4596, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6405, predictive_accuracy: 0.6411, prior_entropy: 0.9976, recall: 0.6411, relative_absolute_error: 0.9222, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4718, root_relative_squared_error: 0.9452,

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