Task
Supervised Classification on vehicle

Supervised Classification on vehicle

Task 53 Supervised Classification vehicle 25322 runs submitted
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  • at2 basic OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_218 study_41 study_50 study_7 study_70 study_98 study_99 under100k under1m
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25322 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.924, f_measure: 0.7371, kappa: 0.6564, kb_relative_information_score: 0.6401, mean_absolute_error: 0.1668, mean_prior_absolute_error: 0.3748, weighted_recall: 0.7423, number_of_instances: 846, precision: 0.7331, predictive_accuracy: 0.7423, prior_entropy: 1.9991, relative_absolute_error: 0.445, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2807, root_relative_squared_error: 0.6484, unweighted_recall: 0.7451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9229, f_measure: 0.7419, kappa: 0.6611, kb_relative_information_score: 0.6889, mean_absolute_error: 0.1388, mean_prior_absolute_error: 0.3748, weighted_recall: 0.7459, number_of_instances: 846, precision: 0.7385, predictive_accuracy: 0.7459, prior_entropy: 1.9991, relative_absolute_error: 0.3702, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2866, root_relative_squared_error: 0.6619, unweighted_recall: 0.7487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9324, f_measure: 0.767, kappa: 0.6942, kb_relative_information_score: 0.7001, mean_absolute_error: 0.1376, mean_prior_absolute_error: 0.3748, weighted_recall: 0.7707, number_of_instances: 846, precision: 0.7644, predictive_accuracy: 0.7707, prior_entropy: 1.9991, relative_absolute_error: 0.3671, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2705, root_relative_squared_error: 0.6249, unweighted_recall: 0.7736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9287, f_measure: 0.7553, kappa: 0.6768, kb_relative_information_score: 0.6952, mean_absolute_error: 0.1386, mean_prior_absolute_error: 0.3748, weighted_recall: 0.7577, number_of_instances: 846, precision: 0.7533, predictive_accuracy: 0.7577, prior_entropy: 1.9991, relative_absolute_error: 0.3699, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2757, root_relative_squared_error: 0.6368, unweighted_recall: 0.7602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.886, f_measure: 0.6463, kappa: 0.5559, kb_relative_information_score: 0.4939, mean_absolute_error: 0.2311, mean_prior_absolute_error: 0.3748, weighted_recall: 0.6667, number_of_instances: 846, precision: 0.642, predictive_accuracy: 0.6667, prior_entropy: 1.9991, relative_absolute_error: 0.6164, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3257, root_relative_squared_error: 0.7523, unweighted_recall: 0.6696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9242, f_measure: 0.7381, kappa: 0.6596, kb_relative_information_score: 0.6805, mean_absolute_error: 0.1464, mean_prior_absolute_error: 0.3748, weighted_recall: 0.7447, number_of_instances: 846, precision: 0.7337, predictive_accuracy: 0.7447, prior_entropy: 1.9991, relative_absolute_error: 0.3906, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2777, root_relative_squared_error: 0.6414, unweighted_recall: 0.7476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8865, f_measure: 0.6565, kappa: 0.5605, kb_relative_information_score: 0.5276, mean_absolute_error: 0.2135, mean_prior_absolute_error: 0.3748, weighted_recall: 0.6702, number_of_instances: 846, precision: 0.6518, predictive_accuracy: 0.6702, prior_entropy: 1.9991, relative_absolute_error: 0.5696, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3223, root_relative_squared_error: 0.7445, unweighted_recall: 0.673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8934, f_measure: 0.6652, kappa: 0.5619, kb_relative_information_score: 0.5731, mean_absolute_error: 0.1933, mean_prior_absolute_error: 0.3748, weighted_recall: 0.6714, number_of_instances: 846, precision: 0.6613, predictive_accuracy: 0.6714, prior_entropy: 1.9991, relative_absolute_error: 0.5157, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3151, root_relative_squared_error: 0.7278, unweighted_recall: 0.6738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9281, f_measure: 0.7495, kappa: 0.6674, kb_relative_information_score: 0.6885, mean_absolute_error: 0.1415, mean_prior_absolute_error: 0.3748, weighted_recall: 0.7506, number_of_instances: 846, precision: 0.7488, predictive_accuracy: 0.7506, prior_entropy: 1.9991, relative_absolute_error: 0.3775, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2772, root_relative_squared_error: 0.6404, unweighted_recall: 0.753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9144, f_measure: 0.7268, kappa: 0.6455, kb_relative_information_score: 0.6539, mean_absolute_error: 0.1567, mean_prior_absolute_error: 0.3748, weighted_recall: 0.734, number_of_instances: 846, precision: 0.7224, predictive_accuracy: 0.734, prior_entropy: 1.9991, relative_absolute_error: 0.418, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2905, root_relative_squared_error: 0.6709, unweighted_recall: 0.7371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, f_measure: 0.7057, kappa: 0.6155, kb_relative_information_score: 0.6272, mean_absolute_error: 0.1692, mean_prior_absolute_error: 0.3748, weighted_recall: 0.7116, number_of_instances: 846, precision: 0.7028, predictive_accuracy: 0.7116, prior_entropy: 1.9991, relative_absolute_error: 0.4513, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2975, root_relative_squared_error: 0.6873, unweighted_recall: 0.7145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9092, f_measure: 0.7216, kappa: 0.6358, kb_relative_information_score: 0.6598, mean_absolute_error: 0.1523, mean_prior_absolute_error: 0.3748, weighted_recall: 0.727, number_of_instances: 846, precision: 0.7191, predictive_accuracy: 0.727, prior_entropy: 1.9991, relative_absolute_error: 0.4064, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2977, root_relative_squared_error: 0.6877, unweighted_recall: 0.7294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9059, f_measure: 0.7128, kappa: 0.6233, kb_relative_information_score: 0.6415, mean_absolute_error: 0.1606, mean_prior_absolute_error: 0.3748, weighted_recall: 0.7175, number_of_instances: 846, precision: 0.7092, predictive_accuracy: 0.7175, prior_entropy: 1.9991, relative_absolute_error: 0.4285, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3005, root_relative_squared_error: 0.6941, unweighted_recall: 0.7201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8768, f_measure: 0.6342, kappa: 0.5404, kb_relative_information_score: 0.4563, mean_absolute_error: 0.2462, mean_prior_absolute_error: 0.3748, weighted_recall: 0.6548, number_of_instances: 846, precision: 0.6334, predictive_accuracy: 0.6548, prior_entropy: 1.9991, relative_absolute_error: 0.6568, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3342, root_relative_squared_error: 0.7721, unweighted_recall: 0.6583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9053, f_measure: 0.7089, kappa: 0.6203, kb_relative_information_score: 0.6188, mean_absolute_error: 0.1723, mean_prior_absolute_error: 0.3748, weighted_recall: 0.7151, number_of_instances: 846, precision: 0.7052, predictive_accuracy: 0.7151, prior_entropy: 1.9991, relative_absolute_error: 0.4597, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2998, root_relative_squared_error: 0.6925, unweighted_recall: 0.718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9183, f_measure: 0.7434, kappa: 0.661, kb_relative_information_score: 0.6859, mean_absolute_error: 0.139, mean_prior_absolute_error: 0.3748, weighted_recall: 0.7459, number_of_instances: 846, precision: 0.7415, predictive_accuracy: 0.7459, prior_entropy: 1.9991, relative_absolute_error: 0.3708, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2927, root_relative_squared_error: 0.6761, unweighted_recall: 0.7484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.922, f_measure: 0.7393, kappa: 0.6596, kb_relative_information_score: 0.6497, mean_absolute_error: 0.1619, mean_prior_absolute_error: 0.3748, weighted_recall: 0.7447, number_of_instances: 846, precision: 0.7351, predictive_accuracy: 0.7447, prior_entropy: 1.9991, relative_absolute_error: 0.4319, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2811, root_relative_squared_error: 0.6492, unweighted_recall: 0.7477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9049, f_measure: 0.6852, kappa: 0.5968, kb_relative_information_score: 0.5674, mean_absolute_error: 0.1988, mean_prior_absolute_error: 0.3748, weighted_recall: 0.6974, number_of_instances: 846, precision: 0.681, predictive_accuracy: 0.6974, prior_entropy: 1.9991, relative_absolute_error: 0.5305, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3054, root_relative_squared_error: 0.7055, unweighted_recall: 0.7001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9157, f_measure: 0.7287, kappa: 0.6437, kb_relative_information_score: 0.6742, mean_absolute_error: 0.1452, mean_prior_absolute_error: 0.3748, weighted_recall: 0.7329, number_of_instances: 846, precision: 0.7261, predictive_accuracy: 0.7329, prior_entropy: 1.9991, relative_absolute_error: 0.3873, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2932, root_relative_squared_error: 0.6772, unweighted_recall: 0.7357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9147, f_measure: 0.725, kappa: 0.6439, kb_relative_information_score: 0.6296, mean_absolute_error: 0.1704, mean_prior_absolute_error: 0.3748, weighted_recall: 0.7329, number_of_instances: 846, precision: 0.7205, predictive_accuracy: 0.7329, prior_entropy: 1.9991, relative_absolute_error: 0.4545, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2896, root_relative_squared_error: 0.669, unweighted_recall: 0.7359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9049, f_measure: 0.7005, kappa: 0.6059, kb_relative_information_score: 0.6234, mean_absolute_error: 0.1706, mean_prior_absolute_error: 0.3748, weighted_recall: 0.7045, number_of_instances: 846, precision: 0.6985, predictive_accuracy: 0.7045, prior_entropy: 1.9991, relative_absolute_error: 0.4551, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2984, root_relative_squared_error: 0.6892, unweighted_recall: 0.7065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9088, f_measure: 0.6962, kappa: 0.6061, kb_relative_information_score: 0.625, mean_absolute_error: 0.172, mean_prior_absolute_error: 0.3748, weighted_recall: 0.7045, number_of_instances: 846, precision: 0.6915, predictive_accuracy: 0.7045, prior_entropy: 1.9991, relative_absolute_error: 0.4588, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2931, root_relative_squared_error: 0.6771, unweighted_recall: 0.7072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9094, f_measure: 0.72, kappa: 0.6311, kb_relative_information_score: 0.633, mean_absolute_error: 0.166, mean_prior_absolute_error: 0.3748, weighted_recall: 0.7234, number_of_instances: 846, precision: 0.717, predictive_accuracy: 0.7234, prior_entropy: 1.9991, relative_absolute_error: 0.443, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3008, root_relative_squared_error: 0.6949, unweighted_recall: 0.7253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9068, f_measure: 0.686, kappa: 0.5967, kb_relative_information_score: 0.5865, mean_absolute_error: 0.1895, mean_prior_absolute_error: 0.3748, weighted_recall: 0.6974, number_of_instances: 846, precision: 0.6811, predictive_accuracy: 0.6974, prior_entropy: 1.9991, relative_absolute_error: 0.5057, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3027, root_relative_squared_error: 0.6992, unweighted_recall: 0.6999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9048, f_measure: 0.6894, kappa: 0.5998, kb_relative_information_score: 0.5781, mean_absolute_error: 0.1945, mean_prior_absolute_error: 0.3748, weighted_recall: 0.6998, number_of_instances: 846, precision: 0.684, predictive_accuracy: 0.6998, prior_entropy: 1.9991, relative_absolute_error: 0.5189, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3033, root_relative_squared_error: 0.7006, unweighted_recall: 0.7019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9035, f_measure: 0.6787, kappa: 0.5873, kb_relative_information_score: 0.577, mean_absolute_error: 0.1949, mean_prior_absolute_error: 0.3748, weighted_recall: 0.6903, number_of_instances: 846, precision: 0.6736, predictive_accuracy: 0.6903, prior_entropy: 1.9991, relative_absolute_error: 0.5201, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3043, root_relative_squared_error: 0.7029, unweighted_recall: 0.6931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8691, f_measure: 0.6088, kappa: 0.5038, kb_relative_information_score: 0.4877, mean_absolute_error: 0.2311, mean_prior_absolute_error: 0.3748, weighted_recall: 0.6277, number_of_instances: 846, precision: 0.5995, predictive_accuracy: 0.6277, prior_entropy: 1.9991, relative_absolute_error: 0.6165, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3332, root_relative_squared_error: 0.7697, unweighted_recall: 0.6309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9221, f_measure: 0.7433, kappa: 0.6644, kb_relative_information_score: 0.6789, mean_absolute_error: 0.1442, mean_prior_absolute_error: 0.3748, weighted_recall: 0.7482, number_of_instances: 846, precision: 0.7401, predictive_accuracy: 0.7482, prior_entropy: 1.9991, relative_absolute_error: 0.3847, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2858, root_relative_squared_error: 0.6601, unweighted_recall: 0.7508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9073, f_measure: 0.6817, kappa: 0.5904, kb_relative_information_score: 0.5886, mean_absolute_error: 0.1897, mean_prior_absolute_error: 0.3748, weighted_recall: 0.6927, number_of_instances: 846, precision: 0.6755, predictive_accuracy: 0.6927, prior_entropy: 1.9991, relative_absolute_error: 0.5061, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2989, root_relative_squared_error: 0.6905, unweighted_recall: 0.6957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9276, f_measure: 0.755, kappa: 0.6784, kb_relative_information_score: 0.6837, mean_absolute_error: 0.1447, mean_prior_absolute_error: 0.3748, weighted_recall: 0.7589, number_of_instances: 846, precision: 0.752, predictive_accuracy: 0.7589, prior_entropy: 1.9991, relative_absolute_error: 0.3861, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.276, root_relative_squared_error: 0.6375, unweighted_recall: 0.7614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9262, f_measure: 0.7518, kappa: 0.6737, kb_relative_information_score: 0.6989, mean_absolute_error: 0.1348, mean_prior_absolute_error: 0.3748, weighted_recall: 0.7553, number_of_instances: 846, precision: 0.7489, predictive_accuracy: 0.7553, prior_entropy: 1.9991, relative_absolute_error: 0.3596, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2834, root_relative_squared_error: 0.6546, unweighted_recall: 0.7578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9137, f_measure: 0.724, kappa: 0.6374, kb_relative_information_score: 0.6647, mean_absolute_error: 0.1506, mean_prior_absolute_error: 0.3748, weighted_recall: 0.7281, number_of_instances: 846, precision: 0.7209, predictive_accuracy: 0.7281, prior_entropy: 1.9991, relative_absolute_error: 0.4019, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2913, root_relative_squared_error: 0.6728, unweighted_recall: 0.7304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.7149, kappa: 0.633, kb_relative_information_score: 0.629, mean_absolute_error: 0.1713, mean_prior_absolute_error: 0.3748, weighted_recall: 0.7246, number_of_instances: 846, precision: 0.7099, predictive_accuracy: 0.7246, prior_entropy: 1.9991, relative_absolute_error: 0.4569, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2893, root_relative_squared_error: 0.6683, unweighted_recall: 0.7278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9211, f_measure: 0.7507, kappa: 0.6722, kb_relative_information_score: 0.6781, mean_absolute_error: 0.1456, mean_prior_absolute_error: 0.3748, weighted_recall: 0.7541, number_of_instances: 846, precision: 0.7485, predictive_accuracy: 0.7541, prior_entropy: 1.9991, relative_absolute_error: 0.3884, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2867, root_relative_squared_error: 0.6623, unweighted_recall: 0.7567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9082, f_measure: 0.7013, kappa: 0.6108, kb_relative_information_score: 0.5934, mean_absolute_error: 0.1864, mean_prior_absolute_error: 0.3748, weighted_recall: 0.708, number_of_instances: 846, precision: 0.6972, predictive_accuracy: 0.708, prior_entropy: 1.9991, relative_absolute_error: 0.4974, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3005, root_relative_squared_error: 0.6942, unweighted_recall: 0.7102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9256, f_measure: 0.7519, kappa: 0.6737, kb_relative_information_score: 0.6921, mean_absolute_error: 0.1384, mean_prior_absolute_error: 0.3748, weighted_recall: 0.7553, number_of_instances: 846, precision: 0.7498, predictive_accuracy: 0.7553, prior_entropy: 1.9991, relative_absolute_error: 0.3691, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.284, root_relative_squared_error: 0.656, unweighted_recall: 0.7577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9032, f_measure: 0.6847, kappa: 0.5903, kb_relative_information_score: 0.5936, mean_absolute_error: 0.1864, mean_prior_absolute_error: 0.3748, weighted_recall: 0.6927, number_of_instances: 846, precision: 0.679, predictive_accuracy: 0.6927, prior_entropy: 1.9991, relative_absolute_error: 0.4972, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3007, root_relative_squared_error: 0.6945, unweighted_recall: 0.6955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9228, f_measure: 0.7462, kappa: 0.6675, kb_relative_information_score: 0.6723, mean_absolute_error: 0.1496, mean_prior_absolute_error: 0.3748, weighted_recall: 0.7506, number_of_instances: 846, precision: 0.7428, predictive_accuracy: 0.7506, prior_entropy: 1.9991, relative_absolute_error: 0.399, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2827, root_relative_squared_error: 0.6531, unweighted_recall: 0.7534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9014, f_measure: 0.6735, kappa: 0.589, kb_relative_information_score: 0.5387, mean_absolute_error: 0.2139, mean_prior_absolute_error: 0.3748, weighted_recall: 0.6915, number_of_instances: 846, precision: 0.6701, predictive_accuracy: 0.6915, prior_entropy: 1.9991, relative_absolute_error: 0.5706, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.309, root_relative_squared_error: 0.7139, unweighted_recall: 0.6948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9305, f_measure: 0.767, kappa: 0.6927, kb_relative_information_score: 0.7127, mean_absolute_error: 0.1286, mean_prior_absolute_error: 0.3748, weighted_recall: 0.7695, number_of_instances: 846, precision: 0.7652, predictive_accuracy: 0.7695, prior_entropy: 1.9991, relative_absolute_error: 0.3432, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2794, root_relative_squared_error: 0.6453, unweighted_recall: 0.7724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9234, f_measure: 0.7489, kappa: 0.6706, kb_relative_information_score: 0.6794, mean_absolute_error: 0.1453, mean_prior_absolute_error: 0.3748, weighted_recall: 0.753, number_of_instances: 846, precision: 0.7458, predictive_accuracy: 0.753, prior_entropy: 1.9991, relative_absolute_error: 0.3876, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2821, root_relative_squared_error: 0.6516, unweighted_recall: 0.7555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9041, f_measure: 0.6907, kappa: 0.5982, kb_relative_information_score: 0.6011, mean_absolute_error: 0.1821, mean_prior_absolute_error: 0.3748, weighted_recall: 0.6986, number_of_instances: 846, precision: 0.6862, predictive_accuracy: 0.6986, prior_entropy: 1.9991, relative_absolute_error: 0.4857, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3028, root_relative_squared_error: 0.6995, unweighted_recall: 0.7012,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9224, f_measure: 0.7386, kappa: 0.6564, kb_relative_information_score: 0.6856, mean_absolute_error: 0.1405, mean_prior_absolute_error: 0.3748, weighted_recall: 0.7423, number_of_instances: 846, precision: 0.7356, predictive_accuracy: 0.7423, prior_entropy: 1.9991, relative_absolute_error: 0.3748, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.287, root_relative_squared_error: 0.6629, unweighted_recall: 0.7449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, f_measure: 0.753, kappa: 0.6753, kb_relative_information_score: 0.6963, mean_absolute_error: 0.1361, mean_prior_absolute_error: 0.3748, weighted_recall: 0.7565, number_of_instances: 846, precision: 0.7502, predictive_accuracy: 0.7565, prior_entropy: 1.9991, relative_absolute_error: 0.3632, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2832, root_relative_squared_error: 0.6542, unweighted_recall: 0.7594,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9252, f_measure: 0.7685, kappa: 0.6942, kb_relative_information_score: 0.7119, mean_absolute_error: 0.1267, mean_prior_absolute_error: 0.3748, weighted_recall: 0.7707, number_of_instances: 846, precision: 0.7667, predictive_accuracy: 0.7707, prior_entropy: 1.9991, relative_absolute_error: 0.3381, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2924, root_relative_squared_error: 0.6755, unweighted_recall: 0.7734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.7211, kappa: 0.6328, kb_relative_information_score: 0.6646, mean_absolute_error: 0.1489, mean_prior_absolute_error: 0.3748, weighted_recall: 0.7246, number_of_instances: 846, precision: 0.7182, predictive_accuracy: 0.7246, prior_entropy: 1.9991, relative_absolute_error: 0.3973, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2995, root_relative_squared_error: 0.6919, unweighted_recall: 0.7271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9054, f_measure: 0.6916, kappa: 0.6014, kb_relative_information_score: 0.5908, mean_absolute_error: 0.1877, mean_prior_absolute_error: 0.3748, weighted_recall: 0.7009, number_of_instances: 846, precision: 0.6878, predictive_accuracy: 0.7009, prior_entropy: 1.9991, relative_absolute_error: 0.5008, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3032, root_relative_squared_error: 0.7003, unweighted_recall: 0.7032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9171, f_measure: 0.7358, kappa: 0.65, kb_relative_information_score: 0.681, mean_absolute_error: 0.1398, mean_prior_absolute_error: 0.3748, weighted_recall: 0.7376, number_of_instances: 846, precision: 0.7342, predictive_accuracy: 0.7376, prior_entropy: 1.9991, relative_absolute_error: 0.3729, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2989, root_relative_squared_error: 0.6905, unweighted_recall: 0.7402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9252, f_measure: 0.7525, kappa: 0.6737, kb_relative_information_score: 0.6932, mean_absolute_error: 0.1393, mean_prior_absolute_error: 0.3748, weighted_recall: 0.7553, number_of_instances: 846, precision: 0.7505, predictive_accuracy: 0.7553, prior_entropy: 1.9991, relative_absolute_error: 0.3717, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2823, root_relative_squared_error: 0.652, unweighted_recall: 0.7583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9275, f_measure: 0.7564, kappa: 0.6784, kb_relative_information_score: 0.7025, mean_absolute_error: 0.1327, mean_prior_absolute_error: 0.3748, weighted_recall: 0.7589, number_of_instances: 846, precision: 0.7548, predictive_accuracy: 0.7589, prior_entropy: 1.9991, relative_absolute_error: 0.3541, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2825, root_relative_squared_error: 0.6525, unweighted_recall: 0.7611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.7296, kappa: 0.647, kb_relative_information_score: 0.6438, mean_absolute_error: 0.1638, mean_prior_absolute_error: 0.3748, weighted_recall: 0.7352, number_of_instances: 846, precision: 0.7257, predictive_accuracy: 0.7352, prior_entropy: 1.9991, relative_absolute_error: 0.4371, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2849, root_relative_squared_error: 0.658, unweighted_recall: 0.7379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.903, f_measure: 0.6888, kappa: 0.5966, kb_relative_information_score: 0.6339, mean_absolute_error: 0.1627, mean_prior_absolute_error: 0.3748, weighted_recall: 0.6974, number_of_instances: 846, precision: 0.6829, predictive_accuracy: 0.6974, prior_entropy: 1.9991, relative_absolute_error: 0.434, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3035, root_relative_squared_error: 0.701, unweighted_recall: 0.7006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, f_measure: 0.6969, kappa: 0.6011, kb_relative_information_score: 0.629, mean_absolute_error: 0.168, mean_prior_absolute_error: 0.3748, weighted_recall: 0.7009, number_of_instances: 846, precision: 0.6946, predictive_accuracy: 0.7009, prior_entropy: 1.9991, relative_absolute_error: 0.4482, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2983, root_relative_squared_error: 0.689, unweighted_recall: 0.7028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9113, f_measure: 0.741, kappa: 0.6564, kb_relative_information_score: 0.6708, mean_absolute_error: 0.1454, mean_prior_absolute_error: 0.3748, weighted_recall: 0.7423, number_of_instances: 846, precision: 0.7404, predictive_accuracy: 0.7423, prior_entropy: 1.9991, relative_absolute_error: 0.388, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3044, root_relative_squared_error: 0.7031, unweighted_recall: 0.7451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9178, f_measure: 0.7417, kappa: 0.6628, kb_relative_information_score: 0.6483, mean_absolute_error: 0.1619, mean_prior_absolute_error: 0.3748, weighted_recall: 0.747, number_of_instances: 846, precision: 0.7382, predictive_accuracy: 0.747, prior_entropy: 1.9991, relative_absolute_error: 0.4318, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2845, root_relative_squared_error: 0.6571, unweighted_recall: 0.7498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.7096, kappa: 0.6186, kb_relative_information_score: 0.6586, mean_absolute_error: 0.1536, mean_prior_absolute_error: 0.3748, weighted_recall: 0.7139, number_of_instances: 846, precision: 0.7062, predictive_accuracy: 0.7139, prior_entropy: 1.9991, relative_absolute_error: 0.4097, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2936, root_relative_squared_error: 0.6782, unweighted_recall: 0.7166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9018, f_measure: 0.6805, kappa: 0.5905, kb_relative_information_score: 0.5767, mean_absolute_error: 0.1953, mean_prior_absolute_error: 0.3748, weighted_recall: 0.6927, number_of_instances: 846, precision: 0.6751, predictive_accuracy: 0.6927, prior_entropy: 1.9991, relative_absolute_error: 0.521, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3025, root_relative_squared_error: 0.6987, unweighted_recall: 0.6959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9211, f_measure: 0.7522, kappa: 0.6737, kb_relative_information_score: 0.6949, mean_absolute_error: 0.136, mean_prior_absolute_error: 0.3748, weighted_recall: 0.7553, number_of_instances: 846, precision: 0.7496, predictive_accuracy: 0.7553, prior_entropy: 1.9991, relative_absolute_error: 0.3627, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2913, root_relative_squared_error: 0.6728, unweighted_recall: 0.7576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9074, f_measure: 0.6907, kappa: 0.5998, kb_relative_information_score: 0.6048, mean_absolute_error: 0.1809, mean_prior_absolute_error: 0.3748, weighted_recall: 0.6998, number_of_instances: 846, precision: 0.6855, predictive_accuracy: 0.6998, prior_entropy: 1.9991, relative_absolute_error: 0.4827, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2996, root_relative_squared_error: 0.692, unweighted_recall: 0.7021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9254, f_measure: 0.7554, kappa: 0.6785, kb_relative_information_score: 0.6928, mean_absolute_error: 0.137, mean_prior_absolute_error: 0.3748, weighted_recall: 0.7589, number_of_instances: 846, precision: 0.7525, predictive_accuracy: 0.7589, prior_entropy: 1.9991, relative_absolute_error: 0.3654, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2854, root_relative_squared_error: 0.6593, unweighted_recall: 0.7615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9261, f_measure: 0.7514, kappa: 0.6721, kb_relative_information_score: 0.7002, mean_absolute_error: 0.1351, mean_prior_absolute_error: 0.3748, weighted_recall: 0.7541, number_of_instances: 846, precision: 0.7491, predictive_accuracy: 0.7541, prior_entropy: 1.9991, relative_absolute_error: 0.3604, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2811, root_relative_squared_error: 0.6492, unweighted_recall: 0.7567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.908, f_measure: 0.7165, kappa: 0.6248, kb_relative_information_score: 0.6501, mean_absolute_error: 0.1545, mean_prior_absolute_error: 0.3748, weighted_recall: 0.7187, number_of_instances: 846, precision: 0.7147, predictive_accuracy: 0.7187, prior_entropy: 1.9991, relative_absolute_error: 0.4122, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3052, root_relative_squared_error: 0.7049, unweighted_recall: 0.7211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.927, f_measure: 0.7607, kappa: 0.6848, kb_relative_information_score: 0.6989, mean_absolute_error: 0.1348, mean_prior_absolute_error: 0.3748, weighted_recall: 0.7636, number_of_instances: 846, precision: 0.7586, predictive_accuracy: 0.7636, prior_entropy: 1.9991, relative_absolute_error: 0.3598, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2837, root_relative_squared_error: 0.6552, unweighted_recall: 0.7664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9163, f_measure: 0.7214, kappa: 0.6343, kb_relative_information_score: 0.6647, mean_absolute_error: 0.152, mean_prior_absolute_error: 0.3748, weighted_recall: 0.7258, number_of_instances: 846, precision: 0.7181, predictive_accuracy: 0.7258, prior_entropy: 1.9991, relative_absolute_error: 0.4055, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2846, root_relative_squared_error: 0.6574, unweighted_recall: 0.7283,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9083, f_measure: 0.7072, kappa: 0.6122, kb_relative_information_score: 0.6461, mean_absolute_error: 0.1577, mean_prior_absolute_error: 0.3748, weighted_recall: 0.7092, number_of_instances: 846, precision: 0.7053, predictive_accuracy: 0.7092, prior_entropy: 1.9991, relative_absolute_error: 0.4206, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3012, root_relative_squared_error: 0.6957, unweighted_recall: 0.7113,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9326, f_measure: 0.7686, kappa: 0.6958, kb_relative_information_score: 0.6981, mean_absolute_error: 0.1376, mean_prior_absolute_error: 0.3748, weighted_recall: 0.7719, number_of_instances: 846, precision: 0.7661, predictive_accuracy: 0.7719, prior_entropy: 1.9991, relative_absolute_error: 0.3672, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2737, root_relative_squared_error: 0.6322, unweighted_recall: 0.7746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9243, f_measure: 0.7701, kappa: 0.6957, kb_relative_information_score: 0.6875, mean_absolute_error: 0.141, mean_prior_absolute_error: 0.3748, weighted_recall: 0.7719, number_of_instances: 846, precision: 0.7686, predictive_accuracy: 0.7719, prior_entropy: 1.9991, relative_absolute_error: 0.3762, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2836, root_relative_squared_error: 0.6551, unweighted_recall: 0.7743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9033, f_measure: 0.6975, kappa: 0.6027, kb_relative_information_score: 0.6369, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.3748, weighted_recall: 0.7021, number_of_instances: 846, precision: 0.6936, predictive_accuracy: 0.7021, prior_entropy: 1.9991, relative_absolute_error: 0.4274, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3084, root_relative_squared_error: 0.7124, unweighted_recall: 0.7043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.929, f_measure: 0.7741, kappa: 0.7005, kb_relative_information_score: 0.7205, mean_absolute_error: 0.1231, mean_prior_absolute_error: 0.3748, weighted_recall: 0.7754, number_of_instances: 846, precision: 0.773, predictive_accuracy: 0.7754, prior_entropy: 1.9991, relative_absolute_error: 0.3285, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.289, root_relative_squared_error: 0.6675, unweighted_recall: 0.7779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.92, f_measure: 0.7224, kappa: 0.6376, kb_relative_information_score: 0.6574, mean_absolute_error: 0.1548, mean_prior_absolute_error: 0.3748, weighted_recall: 0.7281, number_of_instances: 846, precision: 0.7184, predictive_accuracy: 0.7281, prior_entropy: 1.9991, relative_absolute_error: 0.4129, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2884, root_relative_squared_error: 0.6663, unweighted_recall: 0.7309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9247, f_measure: 0.7569, kappa: 0.6784, kb_relative_information_score: 0.7139, mean_absolute_error: 0.1264, mean_prior_absolute_error: 0.3748, weighted_recall: 0.7589, number_of_instances: 846, precision: 0.756, predictive_accuracy: 0.7589, prior_entropy: 1.9991, relative_absolute_error: 0.3373, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2909, root_relative_squared_error: 0.672, unweighted_recall: 0.7618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9219, f_measure: 0.7374, kappa: 0.658, kb_relative_information_score: 0.6752, mean_absolute_error: 0.147, mean_prior_absolute_error: 0.3748, weighted_recall: 0.7435, number_of_instances: 846, precision: 0.7337, predictive_accuracy: 0.7435, prior_entropy: 1.9991, relative_absolute_error: 0.3921, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2827, root_relative_squared_error: 0.6531, unweighted_recall: 0.7464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9291, f_measure: 0.747, kappa: 0.6658, kb_relative_information_score: 0.7004, mean_absolute_error: 0.135, mean_prior_absolute_error: 0.3748, weighted_recall: 0.7494, number_of_instances: 846, precision: 0.7451, predictive_accuracy: 0.7494, prior_entropy: 1.9991, relative_absolute_error: 0.3602, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2786, root_relative_squared_error: 0.6434, unweighted_recall: 0.7525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9257, f_measure: 0.7599, kappa: 0.6848, kb_relative_information_score: 0.7051, mean_absolute_error: 0.1305, mean_prior_absolute_error: 0.3748, weighted_recall: 0.7636, number_of_instances: 846, precision: 0.7572, predictive_accuracy: 0.7636, prior_entropy: 1.9991, relative_absolute_error: 0.3481, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2889, root_relative_squared_error: 0.6673, unweighted_recall: 0.7663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9087, f_measure: 0.7078, kappa: 0.6153, kb_relative_information_score: 0.6481, mean_absolute_error: 0.1573, mean_prior_absolute_error: 0.3748, weighted_recall: 0.7116, number_of_instances: 846, precision: 0.7049, predictive_accuracy: 0.7116, prior_entropy: 1.9991, relative_absolute_error: 0.4195, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2994, root_relative_squared_error: 0.6916, unweighted_recall: 0.7138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8889, f_measure: 0.6471, kappa: 0.5479, kb_relative_information_score: 0.5466, mean_absolute_error: 0.2045, mean_prior_absolute_error: 0.3748, weighted_recall: 0.6608, number_of_instances: 846, precision: 0.641, predictive_accuracy: 0.6608, prior_entropy: 1.9991, relative_absolute_error: 0.5455, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3199, root_relative_squared_error: 0.739, unweighted_recall: 0.6632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9197, f_measure: 0.7392, kappa: 0.6564, kb_relative_information_score: 0.675, mean_absolute_error: 0.145, mean_prior_absolute_error: 0.3748, weighted_recall: 0.7423, number_of_instances: 846, precision: 0.7367, predictive_accuracy: 0.7423, prior_entropy: 1.9991, relative_absolute_error: 0.3867, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2932, root_relative_squared_error: 0.6772, unweighted_recall: 0.7448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9309, f_measure: 0.7602, kappa: 0.6864, kb_relative_information_score: 0.6988, mean_absolute_error: 0.1366, mean_prior_absolute_error: 0.3748, weighted_recall: 0.7648, number_of_instances: 846, precision: 0.7569, predictive_accuracy: 0.7648, prior_entropy: 1.9991, relative_absolute_error: 0.3646, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.276, root_relative_squared_error: 0.6375, unweighted_recall: 0.7677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9147, f_measure: 0.7324, kappa: 0.6501, kb_relative_information_score: 0.6498, mean_absolute_error: 0.1592, mean_prior_absolute_error: 0.3748, weighted_recall: 0.7376, number_of_instances: 846, precision: 0.7286, predictive_accuracy: 0.7376, prior_entropy: 1.9991, relative_absolute_error: 0.4248, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2917, root_relative_squared_error: 0.6738, unweighted_recall: 0.7402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9232, f_measure: 0.7568, kappa: 0.68, kb_relative_information_score: 0.6967, mean_absolute_error: 0.1353, mean_prior_absolute_error: 0.3748, weighted_recall: 0.76, number_of_instances: 846, precision: 0.7542, predictive_accuracy: 0.76, prior_entropy: 1.9991, relative_absolute_error: 0.3609, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2903, root_relative_squared_error: 0.6706, unweighted_recall: 0.7626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9234, f_measure: 0.7524, kappa: 0.672, kb_relative_information_score: 0.6982, mean_absolute_error: 0.1346, mean_prior_absolute_error: 0.3748, weighted_recall: 0.7541, number_of_instances: 846, precision: 0.7516, predictive_accuracy: 0.7541, prior_entropy: 1.9991, relative_absolute_error: 0.3592, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2889, root_relative_squared_error: 0.6674, unweighted_recall: 0.7563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9007, f_measure: 0.6892, kappa: 0.5935, kb_relative_information_score: 0.6213, mean_absolute_error: 0.1683, mean_prior_absolute_error: 0.3748, weighted_recall: 0.695, number_of_instances: 846, precision: 0.6854, predictive_accuracy: 0.695, prior_entropy: 1.9991, relative_absolute_error: 0.4489, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3119, root_relative_squared_error: 0.7205, unweighted_recall: 0.6975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9065, f_measure: 0.6916, kappa: 0.5998, kb_relative_information_score: 0.6088, mean_absolute_error: 0.1797, mean_prior_absolute_error: 0.3748, weighted_recall: 0.6998, number_of_instances: 846, precision: 0.6875, predictive_accuracy: 0.6998, prior_entropy: 1.9991, relative_absolute_error: 0.4793, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2978, root_relative_squared_error: 0.6879, unweighted_recall: 0.7025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9263, f_measure: 0.7535, kappa: 0.6752, kb_relative_information_score: 0.696, mean_absolute_error: 0.1365, mean_prior_absolute_error: 0.3748, weighted_recall: 0.7565, number_of_instances: 846, precision: 0.7517, predictive_accuracy: 0.7565, prior_entropy: 1.9991, relative_absolute_error: 0.3641, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2816, root_relative_squared_error: 0.6505, unweighted_recall: 0.7587,

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