Task
Supervised Classification on pc3

Supervised Classification on pc3

Task 3903 Supervised Classification pc3 140122 runs submitted
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  • mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_7 study_98 study_99 under100k under1m
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140122 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7954, f_measure: 0.8524, kappa: 0.0653, kb_relative_information_score: -0.2199, mean_absolute_error: 0.1532, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8345, predictive_accuracy: 0.8829, prior_entropy: 0.4765, recall: 0.8829, relative_absolute_error: 0.832, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2979, root_relative_squared_error: 0.9826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.838, f_measure: 0.8796, kappa: 0.2718, kb_relative_information_score: 0.171, mean_absolute_error: 0.1143, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.873, predictive_accuracy: 0.8951, prior_entropy: 0.4765, recall: 0.8951, relative_absolute_error: 0.6206, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2888, root_relative_squared_error: 0.9528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8309, f_measure: 0.8754, kappa: 0.2521, kb_relative_information_score: 0.1707, mean_absolute_error: 0.1125, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8676, predictive_accuracy: 0.89, prior_entropy: 0.4765, recall: 0.89, relative_absolute_error: 0.6106, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2965, root_relative_squared_error: 0.9781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8128, f_measure: 0.8855, kappa: 0.3211, kb_relative_information_score: 0.2003, mean_absolute_error: 0.108, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8797, predictive_accuracy: 0.897, prior_entropy: 0.4765, recall: 0.897, relative_absolute_error: 0.5866, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2998, root_relative_squared_error: 0.9891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5166, f_measure: 0.8562, kappa: 0.0563, kb_relative_information_score: 0.2614, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8597, predictive_accuracy: 0.8976, prior_entropy: 0.4765, recall: 0.8976, relative_absolute_error: 0.5558, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3199, root_relative_squared_error: 1.0555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7536, f_measure: 0.8545, kappa: 0.1736, kb_relative_information_score: -0.1333, mean_absolute_error: 0.1486, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8486, predictive_accuracy: 0.8612, prior_entropy: 0.4765, recall: 0.8612, relative_absolute_error: 0.8065, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3429, root_relative_squared_error: 1.131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7743, f_measure: 0.8529, kappa: 0.1544, kb_relative_information_score: -0.1081, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8453, predictive_accuracy: 0.8618, prior_entropy: 0.4765, recall: 0.8618, relative_absolute_error: 0.7865, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3346, root_relative_squared_error: 1.1038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6704, f_measure: 0.8425, kappa: 0.2027, kb_relative_information_score: -0.2214, mean_absolute_error: 0.1684, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8544, predictive_accuracy: 0.8324, prior_entropy: 0.4765, recall: 0.8324, relative_absolute_error: 0.9142, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.4025, root_relative_squared_error: 1.3279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8362, f_measure: 0.8666, kappa: 0.1484, kb_relative_information_score: -0.065, mean_absolute_error: 0.1472, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8625, predictive_accuracy: 0.8964, prior_entropy: 0.4765, recall: 0.8964, relative_absolute_error: 0.799, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2792, root_relative_squared_error: 0.9209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8197, f_measure: 0.875, kappa: 0.2537, kb_relative_information_score: 0.0447, mean_absolute_error: 0.1281, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8672, predictive_accuracy: 0.8887, prior_entropy: 0.4765, recall: 0.8887, relative_absolute_error: 0.6957, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2942, root_relative_squared_error: 0.9705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5172, f_measure: 0.7702, kappa: 0.0272, kb_relative_information_score: -0.9396, mean_absolute_error: 0.2682, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8223, predictive_accuracy: 0.7306, prior_entropy: 0.4765, recall: 0.7306, relative_absolute_error: 1.4563, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.5142, root_relative_squared_error: 1.6962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8275, f_measure: 0.865, kappa: 0.1759, kb_relative_information_score: -0.0637, mean_absolute_error: 0.1434, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8543, predictive_accuracy: 0.8842, prior_entropy: 0.4765, recall: 0.8842, relative_absolute_error: 0.7787, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2903, root_relative_squared_error: 0.9578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8342, f_measure: 0.8597, kappa: 0.0923, kb_relative_information_score: -0.1267, mean_absolute_error: 0.1533, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8539, predictive_accuracy: 0.8951, prior_entropy: 0.4765, recall: 0.8951, relative_absolute_error: 0.8324, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2805, root_relative_squared_error: 0.9253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8103, f_measure: 0.8761, kappa: 0.2701, kb_relative_information_score: 0.1791, mean_absolute_error: 0.1125, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8689, predictive_accuracy: 0.8874, prior_entropy: 0.4765, recall: 0.8874, relative_absolute_error: 0.6109, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3207, root_relative_squared_error: 1.058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8272, f_measure: 0.8773, kappa: 0.2626, kb_relative_information_score: 0.2122, mean_absolute_error: 0.1084, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8699, predictive_accuracy: 0.8919, prior_entropy: 0.4765, recall: 0.8919, relative_absolute_error: 0.5884, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3088, root_relative_squared_error: 1.0188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8205, f_measure: 0.8633, kappa: 0.1511, kb_relative_information_score: -0.1404, mean_absolute_error: 0.149, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8521, predictive_accuracy: 0.8868, prior_entropy: 0.4765, recall: 0.8868, relative_absolute_error: 0.8089, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2867, root_relative_squared_error: 0.9457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.8169, kappa: -0.0005, kb_relative_information_score: -0.3156, mean_absolute_error: 0.1823, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8161, predictive_accuracy: 0.8177, prior_entropy: 0.4765, recall: 0.8177, relative_absolute_error: 0.99, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.427, root_relative_squared_error: 1.4087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8174, f_measure: 0.8754, kappa: 0.2521, kb_relative_information_score: 0.1922, mean_absolute_error: 0.11, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8676, predictive_accuracy: 0.89, prior_entropy: 0.4765, recall: 0.89, relative_absolute_error: 0.5973, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3103, root_relative_squared_error: 1.0235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8214, f_measure: 0.8761, kappa: 0.2487, kb_relative_information_score: 0.144, mean_absolute_error: 0.1179, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8686, predictive_accuracy: 0.8925, prior_entropy: 0.4765, recall: 0.8925, relative_absolute_error: 0.6399, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2962, root_relative_squared_error: 0.9771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7236, f_measure: 0.8515, kappa: 0.1309, kb_relative_information_score: -0.1078, mean_absolute_error: 0.1453, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8415, predictive_accuracy: 0.8637, prior_entropy: 0.4765, recall: 0.8637, relative_absolute_error: 0.7888, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3284, root_relative_squared_error: 1.0835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8113, f_measure: 0.877, kappa: 0.2736, kb_relative_information_score: 0.1155, mean_absolute_error: 0.1181, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8699, predictive_accuracy: 0.8887, prior_entropy: 0.4765, recall: 0.8887, relative_absolute_error: 0.6412, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3129, root_relative_squared_error: 1.0322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8307, f_measure: 0.8754, kappa: 0.2397, kb_relative_information_score: 0.2227, mean_absolute_error: 0.1067, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.868, predictive_accuracy: 0.8932, prior_entropy: 0.4765, recall: 0.8932, relative_absolute_error: 0.5794, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3058, root_relative_squared_error: 1.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8211, f_measure: 0.8826, kappa: 0.2956, kb_relative_information_score: 0.167, mean_absolute_error: 0.1152, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8765, predictive_accuracy: 0.8964, prior_entropy: 0.4765, recall: 0.8964, relative_absolute_error: 0.6254, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2934, root_relative_squared_error: 0.968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7916, f_measure: 0.8504, kappa: 0.0861, kb_relative_information_score: -0.1771, mean_absolute_error: 0.1489, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8349, predictive_accuracy: 0.872, prior_entropy: 0.4765, recall: 0.872, relative_absolute_error: 0.8082, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3054, root_relative_squared_error: 1.0074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8212, f_measure: 0.8789, kappa: 0.2807, kb_relative_information_score: 0.1708, mean_absolute_error: 0.1123, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8719, predictive_accuracy: 0.8912, prior_entropy: 0.4765, recall: 0.8912, relative_absolute_error: 0.6097, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3112, root_relative_squared_error: 1.0265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.8807, kappa: 0.2881, kb_relative_information_score: 0.1686, mean_absolute_error: 0.115, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8741, predictive_accuracy: 0.8938, prior_entropy: 0.4765, recall: 0.8938, relative_absolute_error: 0.6245, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2946, root_relative_squared_error: 0.9719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5796, f_measure: 0.7192, kappa: 0.0623, kb_relative_information_score: -1.522, mean_absolute_error: 0.3488, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8354, predictive_accuracy: 0.6526, prior_entropy: 0.4765, recall: 0.6526, relative_absolute_error: 1.894, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.5862, root_relative_squared_error: 1.9338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8423, f_measure: 0.8691, kappa: 0.1878, kb_relative_information_score: 0.0062, mean_absolute_error: 0.1371, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8604, predictive_accuracy: 0.8912, prior_entropy: 0.4765, recall: 0.8912, relative_absolute_error: 0.7443, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2813, root_relative_squared_error: 0.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8252, f_measure: 0.8821, kappa: 0.2907, kb_relative_information_score: 0.2251, mean_absolute_error: 0.1052, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8759, predictive_accuracy: 0.8964, prior_entropy: 0.4765, recall: 0.8964, relative_absolute_error: 0.5713, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3033, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8355, f_measure: 0.857, kappa: 0.0731, kb_relative_information_score: -0.084, mean_absolute_error: 0.1503, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8479, predictive_accuracy: 0.8938, prior_entropy: 0.4765, recall: 0.8938, relative_absolute_error: 0.8161, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.28, root_relative_squared_error: 0.9236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5225, f_measure: 0.8532, kappa: 0.0494, kb_relative_information_score: 0.2065, mean_absolute_error: 0.1096, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.837, predictive_accuracy: 0.8906, prior_entropy: 0.4765, recall: 0.8906, relative_absolute_error: 0.5949, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3288, root_relative_squared_error: 1.0847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7699, f_measure: 0.8555, kappa: 0.187, kb_relative_information_score: -0.0187, mean_absolute_error: 0.1372, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8509, predictive_accuracy: 0.8605, prior_entropy: 0.4765, recall: 0.8605, relative_absolute_error: 0.7448, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3358, root_relative_squared_error: 1.1077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.827, f_measure: 0.882, kappa: 0.2845, kb_relative_information_score: 0.226, mean_absolute_error: 0.1064, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8762, predictive_accuracy: 0.8976, prior_entropy: 0.4765, recall: 0.8976, relative_absolute_error: 0.5775, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2964, root_relative_squared_error: 0.9777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8374, f_measure: 0.8629, kappa: 0.1257, kb_relative_information_score: -0.0928, mean_absolute_error: 0.1495, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8548, predictive_accuracy: 0.8932, prior_entropy: 0.4765, recall: 0.8932, relative_absolute_error: 0.8115, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2813, root_relative_squared_error: 0.9278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.508, f_measure: 0.7722, kappa: 0.0262, kb_relative_information_score: -0.9236, mean_absolute_error: 0.2665, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.822, predictive_accuracy: 0.7338, prior_entropy: 0.4765, recall: 0.7338, relative_absolute_error: 1.4467, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.5151, root_relative_squared_error: 1.6992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7625, f_measure: 0.8571, kappa: 0.1853, kb_relative_information_score: -0.1, mean_absolute_error: 0.1451, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8509, predictive_accuracy: 0.8644, prior_entropy: 0.4765, recall: 0.8644, relative_absolute_error: 0.7881, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3413, root_relative_squared_error: 1.1258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8347, f_measure: 0.8536, kappa: 0.0507, kb_relative_information_score: -0.1257, mean_absolute_error: 0.1502, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8383, predictive_accuracy: 0.8912, prior_entropy: 0.4765, recall: 0.8912, relative_absolute_error: 0.8158, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2805, root_relative_squared_error: 0.9254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8001, kb_relative_information_score: -0.0927, mean_absolute_error: 0.1749, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.4765, recall: 0.8976, relative_absolute_error: 0.9496, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2921, root_relative_squared_error: 0.9634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.825, f_measure: 0.8772, kappa: 0.247, kb_relative_information_score: 0.1659, mean_absolute_error: 0.1142, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8708, predictive_accuracy: 0.8957, prior_entropy: 0.4765, recall: 0.8957, relative_absolute_error: 0.62, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2915, root_relative_squared_error: 0.9616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5065, f_measure: 0.8496, kappa: 0.0116, kb_relative_information_score: 0.2315, mean_absolute_error: 0.1054, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8268, predictive_accuracy: 0.8938, prior_entropy: 0.4765, recall: 0.8938, relative_absolute_error: 0.5724, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3221, root_relative_squared_error: 1.0627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.829, f_measure: 0.8701, kappa: 0.2227, kb_relative_information_score: -0.017, mean_absolute_error: 0.1369, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8613, predictive_accuracy: 0.8848, prior_entropy: 0.4765, recall: 0.8848, relative_absolute_error: 0.7431, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2905, root_relative_squared_error: 0.9583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2614, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.4765, recall: 0.8976, relative_absolute_error: 0.5558, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3199, root_relative_squared_error: 1.0555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7455, f_measure: 0.8864, kappa: 0.3325, kb_relative_information_score: 0.2087, mean_absolute_error: 0.1085, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8808, predictive_accuracy: 0.8964, prior_entropy: 0.4765, recall: 0.8964, relative_absolute_error: 0.589, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3147, root_relative_squared_error: 1.038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8267, f_measure: 0.8787, kappa: 0.2681, kb_relative_information_score: 0.1982, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8717, predictive_accuracy: 0.8938, prior_entropy: 0.4765, recall: 0.8938, relative_absolute_error: 0.5923, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3019, root_relative_squared_error: 0.9959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8192, f_measure: 0.8779, kappa: 0.2801, kb_relative_information_score: 0.0432, mean_absolute_error: 0.129, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.871, predictive_accuracy: 0.8893, prior_entropy: 0.4765, recall: 0.8893, relative_absolute_error: 0.7003, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2946, root_relative_squared_error: 0.9718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5334, f_measure: 0.8584, kappa: 0.1003, kb_relative_information_score: 0.1743, mean_absolute_error: 0.113, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8456, predictive_accuracy: 0.8887, prior_entropy: 0.4765, recall: 0.8887, relative_absolute_error: 0.6134, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3283, root_relative_squared_error: 1.0831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6564, f_measure: 0.8298, kappa: 0.0306, kb_relative_information_score: -0.2226, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8219, predictive_accuracy: 0.8381, prior_entropy: 0.4765, recall: 0.8381, relative_absolute_error: 0.8976, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3814, root_relative_squared_error: 1.2581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8225, f_measure: 0.8806, kappa: 0.2819, kb_relative_information_score: 0.1879, mean_absolute_error: 0.1109, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8741, predictive_accuracy: 0.8951, prior_entropy: 0.4765, recall: 0.8951, relative_absolute_error: 0.6023, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3064, root_relative_squared_error: 1.0108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8134, f_measure: 0.8788, kappa: 0.2777, kb_relative_information_score: 0.0974, mean_absolute_error: 0.1237, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8718, predictive_accuracy: 0.8919, prior_entropy: 0.4765, recall: 0.8919, relative_absolute_error: 0.6718, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2946, root_relative_squared_error: 0.9718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8135, f_measure: 0.8759, kappa: 0.2573, kb_relative_information_score: 0.1625, mean_absolute_error: 0.1162, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8683, predictive_accuracy: 0.89, prior_entropy: 0.4765, recall: 0.89, relative_absolute_error: 0.6311, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2946, root_relative_squared_error: 0.972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5053, f_measure: 0.8504, kappa: 0.0196, kb_relative_information_score: 0.2147, mean_absolute_error: 0.1081, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8303, predictive_accuracy: 0.8932, prior_entropy: 0.4765, recall: 0.8932, relative_absolute_error: 0.5871, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3265, root_relative_squared_error: 1.0771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.8173, kappa: 0.0002, kb_relative_information_score: -0.311, mean_absolute_error: 0.1817, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8163, predictive_accuracy: 0.8183, prior_entropy: 0.4765, recall: 0.8183, relative_absolute_error: 0.9865, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.4263, root_relative_squared_error: 1.4062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6343, f_measure: 0.8634, kappa: 0.2155, kb_relative_information_score: 0.0512, mean_absolute_error: 0.1306, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8568, predictive_accuracy: 0.8714, prior_entropy: 0.4765, recall: 0.8714, relative_absolute_error: 0.7092, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3512, root_relative_squared_error: 1.1584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8237, f_measure: 0.8766, kappa: 0.254, kb_relative_information_score: 0.1676, mean_absolute_error: 0.1139, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8693, predictive_accuracy: 0.8925, prior_entropy: 0.4765, recall: 0.8925, relative_absolute_error: 0.6183, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2939, root_relative_squared_error: 0.9696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7507, f_measure: 0.8751, kappa: 0.2603, kb_relative_information_score: 0.1596, mean_absolute_error: 0.1138, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8675, predictive_accuracy: 0.8874, prior_entropy: 0.4765, recall: 0.8874, relative_absolute_error: 0.6177, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3239, root_relative_squared_error: 1.0684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.802, f_measure: 0.8743, kappa: 0.2693, kb_relative_information_score: 0.0022, mean_absolute_error: 0.1308, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8676, predictive_accuracy: 0.8836, prior_entropy: 0.4765, recall: 0.8836, relative_absolute_error: 0.7103, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2989, root_relative_squared_error: 0.9861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.839, f_measure: 0.8805, kappa: 0.2756, kb_relative_information_score: 0.1981, mean_absolute_error: 0.1088, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8743, predictive_accuracy: 0.8964, prior_entropy: 0.4765, recall: 0.8964, relative_absolute_error: 0.5906, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3019, root_relative_squared_error: 0.9961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2614, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.4765, recall: 0.8976, relative_absolute_error: 0.5558, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3199, root_relative_squared_error: 1.0555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5195, f_measure: 0.8334, kappa: 0.0438, kb_relative_information_score: -0.131, mean_absolute_error: 0.1567, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8245, predictive_accuracy: 0.8433, prior_entropy: 0.4765, recall: 0.8433, relative_absolute_error: 0.8511, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3959, root_relative_squared_error: 1.3061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8261, f_measure: 0.8806, kappa: 0.2788, kb_relative_information_score: 0.2251, mean_absolute_error: 0.1054, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8742, predictive_accuracy: 0.8957, prior_entropy: 0.4765, recall: 0.8957, relative_absolute_error: 0.5721, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.308, root_relative_squared_error: 1.0161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7954, f_measure: 0.8743, kappa: 0.2663, kb_relative_information_score: 0.0806, mean_absolute_error: 0.1243, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8673, predictive_accuracy: 0.8842, prior_entropy: 0.4765, recall: 0.8842, relative_absolute_error: 0.6749, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3122, root_relative_squared_error: 1.0299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6602, f_measure: 0.8271, kappa: 0.1475, kb_relative_information_score: -0.3724, mean_absolute_error: 0.1885, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8445, predictive_accuracy: 0.8125, prior_entropy: 0.4765, recall: 0.8125, relative_absolute_error: 1.0232, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.4246, root_relative_squared_error: 1.4008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.7221, kappa: 0.0003, kb_relative_information_score: -1.4558, mean_absolute_error: 0.3404, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8163, predictive_accuracy: 0.6596, prior_entropy: 0.4765, recall: 0.6596, relative_absolute_error: 1.848, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.5834, root_relative_squared_error: 1.9246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8249, f_measure: 0.8476, kappa: -0.0062, kb_relative_information_score: -0.1714, mean_absolute_error: 0.1584, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8054, predictive_accuracy: 0.8944, prior_entropy: 0.4765, recall: 0.8944, relative_absolute_error: 0.8603, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2821, root_relative_squared_error: 0.9305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8055, kb_relative_information_score: -0.0093, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.4765, recall: 0.8976, relative_absolute_error: 0.9781, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3007, root_relative_squared_error: 0.9918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8116, f_measure: 0.8836, kappa: 0.3107, kb_relative_information_score: 0.1109, mean_absolute_error: 0.1222, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8775, predictive_accuracy: 0.8951, prior_entropy: 0.4765, recall: 0.8951, relative_absolute_error: 0.6637, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2946, root_relative_squared_error: 0.9717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8291, f_measure: 0.8525, kappa: 0.0276, kb_relative_information_score: -0.153, mean_absolute_error: 0.1567, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8509, predictive_accuracy: 0.897, prior_entropy: 0.4765, recall: 0.897, relative_absolute_error: 0.8506, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2807, root_relative_squared_error: 0.926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8286, f_measure: 0.8792, kappa: 0.2732, kb_relative_information_score: -0.025, mean_absolute_error: 0.1382, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8723, predictive_accuracy: 0.8938, prior_entropy: 0.4765, recall: 0.8938, relative_absolute_error: 0.7504, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.286, root_relative_squared_error: 0.9435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6941, f_measure: 0.8652, kappa: 0.2437, kb_relative_information_score: 0.0215, mean_absolute_error: 0.1328, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8613, predictive_accuracy: 0.8695, prior_entropy: 0.4765, recall: 0.8695, relative_absolute_error: 0.7213, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3479, root_relative_squared_error: 1.1477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8353, f_measure: 0.8798, kappa: 0.2903, kb_relative_information_score: 0.0655, mean_absolute_error: 0.1285, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8731, predictive_accuracy: 0.8912, prior_entropy: 0.4765, recall: 0.8912, relative_absolute_error: 0.6974, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2858, root_relative_squared_error: 0.9429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5512, f_measure: 0.8588, kappa: 0.1506, kb_relative_information_score: 0.0909, mean_absolute_error: 0.1258, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8471, predictive_accuracy: 0.8759, prior_entropy: 0.4765, recall: 0.8759, relative_absolute_error: 0.6832, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3512, root_relative_squared_error: 1.1585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8206, f_measure: 0.8716, kappa: 0.2349, kb_relative_information_score: -0.0247, mean_absolute_error: 0.1362, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8633, predictive_accuracy: 0.8855, prior_entropy: 0.4765, recall: 0.8855, relative_absolute_error: 0.7394, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2916, root_relative_squared_error: 0.9619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8267, f_measure: 0.8836, kappa: 0.3024, kb_relative_information_score: 0.2349, mean_absolute_error: 0.1058, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8776, predictive_accuracy: 0.897, prior_entropy: 0.4765, recall: 0.897, relative_absolute_error: 0.5744, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3081, root_relative_squared_error: 1.0164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8332, f_measure: 0.8829, kappa: 0.2852, kb_relative_information_score: 0.2195, mean_absolute_error: 0.107, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8779, predictive_accuracy: 0.8996, prior_entropy: 0.4765, recall: 0.8996, relative_absolute_error: 0.5808, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2972, root_relative_squared_error: 0.9804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8209, f_measure: 0.8755, kappa: 0.2433, kb_relative_information_score: 0.1492, mean_absolute_error: 0.1175, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.868, predictive_accuracy: 0.8925, prior_entropy: 0.4765, recall: 0.8925, relative_absolute_error: 0.638, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2951, root_relative_squared_error: 0.9734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.7735, kappa: 0.0003, kb_relative_information_score: -0.8834, mean_absolute_error: 0.261, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8163, predictive_accuracy: 0.739, prior_entropy: 0.4765, recall: 0.739, relative_absolute_error: 1.4173, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.5109, root_relative_squared_error: 1.6855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8141, f_measure: 0.874, kappa: 0.2469, kb_relative_information_score: 0.1058, mean_absolute_error: 0.1225, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.866, predictive_accuracy: 0.888, prior_entropy: 0.4765, recall: 0.888, relative_absolute_error: 0.6653, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2985, root_relative_squared_error: 0.9847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6351, f_measure: 0.8067, kappa: 0.0442, kb_relative_information_score: -0.6783, mean_absolute_error: 0.2212, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8247, predictive_accuracy: 0.7908, prior_entropy: 0.4765, recall: 0.7908, relative_absolute_error: 1.2011, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.431, root_relative_squared_error: 1.4217,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8241, f_measure: 0.8721, kappa: 0.2236, kb_relative_information_score: -0.0025, mean_absolute_error: 0.1366, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8636, predictive_accuracy: 0.8893, prior_entropy: 0.4765, recall: 0.8893, relative_absolute_error: 0.7414, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2932, root_relative_squared_error: 0.9673,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8215, f_measure: 0.8766, kappa: 0.254, kb_relative_information_score: 0.115, mean_absolute_error: 0.1229, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8693, predictive_accuracy: 0.8925, prior_entropy: 0.4765, recall: 0.8925, relative_absolute_error: 0.6674, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2902, root_relative_squared_error: 0.9572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5729, f_measure: 0.8616, kappa: 0.1328, kb_relative_information_score: 0.1762, mean_absolute_error: 0.1126, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8498, predictive_accuracy: 0.8874, prior_entropy: 0.4765, recall: 0.8874, relative_absolute_error: 0.6116, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3281, root_relative_squared_error: 1.0823,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8224, kb_relative_information_score: -0.1744, mean_absolute_error: 0.1604, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.4765, recall: 0.8976, relative_absolute_error: 0.8711, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2809, root_relative_squared_error: 0.9266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.806, f_measure: 0.8486, kappa: -0.0025, kb_relative_information_score: -0.2505, mean_absolute_error: 0.1597, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8056, predictive_accuracy: 0.8964, prior_entropy: 0.4765, recall: 0.8964, relative_absolute_error: 0.8671, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2864, root_relative_squared_error: 0.9448,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8141, f_measure: 0.8688, kappa: 0.2468, kb_relative_information_score: 0.0985, mean_absolute_error: 0.1222, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8626, predictive_accuracy: 0.8765, prior_entropy: 0.4765, recall: 0.8765, relative_absolute_error: 0.6633, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3332, root_relative_squared_error: 1.0991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5814, f_measure: 0.8554, kappa: 0.2101, kb_relative_information_score: -0.041, mean_absolute_error: 0.1442, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8548, predictive_accuracy: 0.856, prior_entropy: 0.4765, recall: 0.856, relative_absolute_error: 0.7831, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3771, root_relative_squared_error: 1.2441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2614, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.4765, recall: 0.8976, relative_absolute_error: 0.5558, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3199, root_relative_squared_error: 1.0555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8222, f_measure: 0.877, kappa: 0.2524, kb_relative_information_score: 0.1739, mean_absolute_error: 0.1133, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8699, predictive_accuracy: 0.8938, prior_entropy: 0.4765, recall: 0.8938, relative_absolute_error: 0.6149, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2941, root_relative_squared_error: 0.9701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5127, f_measure: 0.8197, kappa: 0.0484, kb_relative_information_score: -0.3482, mean_absolute_error: 0.1861, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8252, predictive_accuracy: 0.8145, prior_entropy: 0.4765, recall: 0.8145, relative_absolute_error: 1.0103, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.4258, root_relative_squared_error: 1.4047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8325, f_measure: 0.8761, kappa: 0.2487, kb_relative_information_score: 0.0827, mean_absolute_error: 0.1248, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8686, predictive_accuracy: 0.8925, prior_entropy: 0.4765, recall: 0.8925, relative_absolute_error: 0.6775, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2899, root_relative_squared_error: 0.9562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8143, kb_relative_information_score: -0.1146, mean_absolute_error: 0.1743, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.4765, recall: 0.8976, relative_absolute_error: 0.9464, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2904, root_relative_squared_error: 0.9581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7532, kb_relative_information_score: -0.0304, mean_absolute_error: 0.1774, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.4765, recall: 0.8976, relative_absolute_error: 0.9629, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2986, root_relative_squared_error: 0.9851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5102, f_measure: 0.8068, kappa: 0.0166, kb_relative_information_score: -0.4771, mean_absolute_error: 0.2047, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8193, predictive_accuracy: 0.7953, prior_entropy: 0.4765, recall: 0.7953, relative_absolute_error: 1.1114, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.4524, root_relative_squared_error: 1.4924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8346, f_measure: 0.8663, kappa: 0.1623, kb_relative_information_score: -0.0451, mean_absolute_error: 0.1433, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8572, predictive_accuracy: 0.8912, prior_entropy: 0.4765, recall: 0.8912, relative_absolute_error: 0.7782, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2827, root_relative_squared_error: 0.9326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8384, f_measure: 0.8788, kappa: 0.2777, kb_relative_information_score: 0.1156, mean_absolute_error: 0.1193, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8718, predictive_accuracy: 0.8919, prior_entropy: 0.4765, recall: 0.8919, relative_absolute_error: 0.648, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2894, root_relative_squared_error: 0.9546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.824, f_measure: 0.8522, kappa: 0.0313, kb_relative_information_score: -0.1601, mean_absolute_error: 0.1574, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8388, predictive_accuracy: 0.8944, prior_entropy: 0.4765, recall: 0.8944, relative_absolute_error: 0.8544, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2832, root_relative_squared_error: 0.9341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8332, f_measure: 0.8777, kappa: 0.2611, kb_relative_information_score: 0.2082, mean_absolute_error: 0.1077, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8705, predictive_accuracy: 0.8932, prior_entropy: 0.4765, recall: 0.8932, relative_absolute_error: 0.5849, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3083, root_relative_squared_error: 1.0172,

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

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

OpenML APIs