OpenML
Supervised Classification on semeion

Supervised Classification on semeion

Task 9964 Supervised Classification semeion 20292 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_50 study_7 study_98 study_99
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20292 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5308, kappa: 0.0616, kb_relative_information_score: 187.1425, mean_absolute_error: 0.1686, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.1569, prior_entropy: 3.3218, recall: 0.1569, relative_absolute_error: 0.9368, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4106, root_relative_squared_error: 1.3688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5078, kappa: 0.0155, kb_relative_information_score: 118.4458, mean_absolute_error: 0.1769, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.1155, prior_entropy: 3.3218, recall: 0.1155, relative_absolute_error: 0.9828, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4206, root_relative_squared_error: 1.402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9073, f_measure: 0.855, kappa: 0.8145, kb_relative_information_score: 1314.7378, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9154, predictive_accuracy: 0.833, prior_entropy: 3.3218, recall: 0.833, relative_absolute_error: 0.1855, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1827, root_relative_squared_error: 0.6092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9327, f_measure: 0.8894, kappa: 0.8654, kb_relative_information_score: 1390.8224, mean_absolute_error: 0.0242, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9275, predictive_accuracy: 0.8788, prior_entropy: 3.3218, recall: 0.8788, relative_absolute_error: 0.1346, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1557, root_relative_squared_error: 0.5189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9611, kappa: 0.9568, kb_relative_information_score: 1528.0894, mean_absolute_error: 0.0078, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9615, predictive_accuracy: 0.9611, prior_entropy: 3.3218, recall: 0.9611, relative_absolute_error: 0.0432, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0882, root_relative_squared_error: 0.2941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.9562, kappa: 0.9512, kb_relative_information_score: 1519.7293, mean_absolute_error: 0.0088, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9567, predictive_accuracy: 0.9561, prior_entropy: 3.3218, recall: 0.9561, relative_absolute_error: 0.0488, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0937, root_relative_squared_error: 0.3125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5095, kappa: 0.019, kb_relative_information_score: 123.6473, mean_absolute_error: 0.1763, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.1186, prior_entropy: 3.3218, recall: 0.1186, relative_absolute_error: 0.9793, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4198, root_relative_squared_error: 1.3995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6804, f_measure: 0.4255, kappa: 0.3609, kb_relative_information_score: 634.6429, mean_absolute_error: 0.115, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.4538, predictive_accuracy: 0.425, prior_entropy: 3.3218, recall: 0.425, relative_absolute_error: 0.6389, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3391, root_relative_squared_error: 1.1304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6829, f_measure: 0.432, kappa: 0.3658, kb_relative_information_score: 642.0245, mean_absolute_error: 0.1141, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.4596, predictive_accuracy: 0.4294, prior_entropy: 3.3218, recall: 0.4294, relative_absolute_error: 0.634, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3378, root_relative_squared_error: 1.1261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9616, f_measure: 0.9315, kappa: 0.9233, kb_relative_information_score: 1477.8506, mean_absolute_error: 0.0138, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.934, predictive_accuracy: 0.9309, prior_entropy: 3.3218, recall: 0.9309, relative_absolute_error: 0.0767, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1175, root_relative_squared_error: 0.3917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.9443, kappa: 0.9379, kb_relative_information_score: 1499.7748, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9452, predictive_accuracy: 0.9441, prior_entropy: 3.3218, recall: 0.9441, relative_absolute_error: 0.0621, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1057, root_relative_squared_error: 0.3524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5315, kappa: 0.063, kb_relative_information_score: 189.226, mean_absolute_error: 0.1684, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.1582, prior_entropy: 3.3218, recall: 0.1582, relative_absolute_error: 0.9354, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4103, root_relative_squared_error: 1.3677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.59, kappa: 0.18, kb_relative_information_score: 363.3849, mean_absolute_error: 0.1474, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.263, prior_entropy: 3.3218, recall: 0.263, relative_absolute_error: 0.8189, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3839, root_relative_squared_error: 1.2797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9735, f_measure: 0.9525, kappa: 0.947, kb_relative_information_score: 1513.4212, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9532, predictive_accuracy: 0.9523, prior_entropy: 3.3218, recall: 0.9523, relative_absolute_error: 0.053, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0977, root_relative_squared_error: 0.3256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6277, f_measure: 0.3307, kappa: 0.2555, kb_relative_information_score: 476.7692, mean_absolute_error: 0.134, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.3515, predictive_accuracy: 0.3302, prior_entropy: 3.3218, recall: 0.3302, relative_absolute_error: 0.7442, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.366, root_relative_squared_error: 1.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.9618, kappa: 0.9575, kb_relative_information_score: 1529.1575, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9625, predictive_accuracy: 0.9617, prior_entropy: 3.3218, recall: 0.9617, relative_absolute_error: 0.0425, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0875, root_relative_squared_error: 0.2917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9693, f_measure: 0.945, kappa: 0.9386, kb_relative_information_score: 1500.8676, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9458, predictive_accuracy: 0.9448, prior_entropy: 3.3218, recall: 0.9448, relative_absolute_error: 0.0614, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1051, root_relative_squared_error: 0.3504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kappa: -0.0006, kb_relative_information_score: 94.5052, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.1011, prior_entropy: 3.3218, recall: 0.1011, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.424, root_relative_squared_error: 1.4134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.9343, kappa: 0.9268, kb_relative_information_score: 1482.9884, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9353, predictive_accuracy: 0.9341, prior_entropy: 3.3218, recall: 0.9341, relative_absolute_error: 0.0732, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1148, root_relative_squared_error: 0.3827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9676, f_measure: 0.9418, kappa: 0.9351, kb_relative_information_score: 1495.581, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9427, predictive_accuracy: 0.9416, prior_entropy: 3.3218, recall: 0.9416, relative_absolute_error: 0.0649, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1081, root_relative_squared_error: 0.3602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9317, f_measure: 0.8877, kappa: 0.8633, kb_relative_information_score: 1387.69, mean_absolute_error: 0.0246, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9266, predictive_accuracy: 0.877, prior_entropy: 3.3218, recall: 0.877, relative_absolute_error: 0.1367, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1569, root_relative_squared_error: 0.5229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kappa: -0.0006, kb_relative_information_score: 94.5052, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.1011, prior_entropy: 3.3218, recall: 0.1011, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.424, root_relative_squared_error: 1.4134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.924, f_measure: 0.8772, kappa: 0.848, kb_relative_information_score: 1365.1214, mean_absolute_error: 0.0274, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9162, predictive_accuracy: 0.8632, prior_entropy: 3.3218, recall: 0.8632, relative_absolute_error: 0.1521, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1654, root_relative_squared_error: 0.5515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5015, kappa: 0.0029, kb_relative_information_score: 99.7382, mean_absolute_error: 0.1792, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.1042, prior_entropy: 3.3218, recall: 0.1042, relative_absolute_error: 0.9953, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4233, root_relative_squared_error: 1.4109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6459, f_measure: 0.3646, kappa: 0.2918, kb_relative_information_score: 531.1409, mean_absolute_error: 0.1274, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.3863, predictive_accuracy: 0.3628, prior_entropy: 3.3218, recall: 0.3628, relative_absolute_error: 0.708, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.357, root_relative_squared_error: 1.1899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9644, f_measure: 0.9362, kappa: 0.9289, kb_relative_information_score: 1486.1499, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9371, predictive_accuracy: 0.936, prior_entropy: 3.3218, recall: 0.936, relative_absolute_error: 0.0711, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1132, root_relative_squared_error: 0.3772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.9605, kappa: 0.9561, kb_relative_information_score: 1527.0405, mean_absolute_error: 0.0079, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9609, predictive_accuracy: 0.9605, prior_entropy: 3.3218, recall: 0.9605, relative_absolute_error: 0.0439, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0889, root_relative_squared_error: 0.2965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kappa: -0.0006, kb_relative_information_score: 94.5052, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.1011, prior_entropy: 3.3218, recall: 0.1011, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.424, root_relative_squared_error: 1.4134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9072, f_measure: 0.8351, kappa: 0.8145, kb_relative_information_score: 1314.6431, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8461, predictive_accuracy: 0.833, prior_entropy: 3.3218, recall: 0.833, relative_absolute_error: 0.1855, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1827, root_relative_squared_error: 0.6092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8528, f_measure: 0.737, kappa: 0.7056, kb_relative_information_score: 1151.3666, mean_absolute_error: 0.053, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.7446, predictive_accuracy: 0.7351, prior_entropy: 3.3218, recall: 0.7351, relative_absolute_error: 0.2943, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2302, root_relative_squared_error: 0.7673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5315, kappa: 0.063, kb_relative_information_score: 189.2236, mean_absolute_error: 0.1684, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.1582, prior_entropy: 3.3218, recall: 0.1582, relative_absolute_error: 0.9354, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4103, root_relative_squared_error: 1.3677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.9606, kappa: 0.9561, kb_relative_information_score: 1527.0497, mean_absolute_error: 0.0079, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9619, predictive_accuracy: 0.9605, prior_entropy: 3.3218, recall: 0.9605, relative_absolute_error: 0.0439, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0889, root_relative_squared_error: 0.2965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9644, f_measure: 0.9363, kappa: 0.9289, kb_relative_information_score: 1486.1839, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9374, predictive_accuracy: 0.936, prior_entropy: 3.3218, recall: 0.936, relative_absolute_error: 0.0711, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1132, root_relative_squared_error: 0.3772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, f_measure: 0.94, kappa: 0.933, kb_relative_information_score: 1492.5099, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9416, predictive_accuracy: 0.9397, prior_entropy: 3.3218, recall: 0.9397, relative_absolute_error: 0.067, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1098, root_relative_squared_error: 0.366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9669, f_measure: 0.9406, kappa: 0.9337, kb_relative_information_score: 1493.4856, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9415, predictive_accuracy: 0.9404, prior_entropy: 3.3218, recall: 0.9404, relative_absolute_error: 0.0663, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1092, root_relative_squared_error: 0.364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.9543, kappa: 0.9491, kb_relative_information_score: 1516.555, mean_absolute_error: 0.0092, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9561, predictive_accuracy: 0.9542, prior_entropy: 3.3218, recall: 0.9542, relative_absolute_error: 0.0509, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0957, root_relative_squared_error: 0.3191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5304, kappa: 0.0609, kb_relative_information_score: 186.0984, mean_absolute_error: 0.1687, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.1563, prior_entropy: 3.3218, recall: 0.1563, relative_absolute_error: 0.9375, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4108, root_relative_squared_error: 1.3693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8424, f_measure: 0.7556, kappa: 0.6847, kb_relative_information_score: 1119.3643, mean_absolute_error: 0.0567, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9161, predictive_accuracy: 0.7163, prior_entropy: 3.3218, recall: 0.7163, relative_absolute_error: 0.3153, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2382, root_relative_squared_error: 0.7941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.9375, kappa: 0.9302, kb_relative_information_score: 1488.2404, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9386, predictive_accuracy: 0.9372, prior_entropy: 3.3218, recall: 0.9372, relative_absolute_error: 0.0698, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.112, root_relative_squared_error: 0.3735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7582, f_measure: 0.5697, kappa: 0.5165, kb_relative_information_score: 867.9926, mean_absolute_error: 0.087, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.5916, predictive_accuracy: 0.565, prior_entropy: 3.3218, recall: 0.565, relative_absolute_error: 0.4834, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.295, root_relative_squared_error: 0.9832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.954, f_measure: 0.9175, kappa: 0.9079, kb_relative_information_score: 1454.7118, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9198, predictive_accuracy: 0.9171, prior_entropy: 3.3218, recall: 0.9171, relative_absolute_error: 0.0921, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1287, root_relative_squared_error: 0.4291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kappa: -0.0006, kb_relative_information_score: 94.5052, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.1011, prior_entropy: 3.3218, recall: 0.1011, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.424, root_relative_squared_error: 1.4134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7624, f_measure: 0.5729, kappa: 0.5249, kb_relative_information_score: 880.4122, mean_absolute_error: 0.0855, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.6001, predictive_accuracy: 0.5725, prior_entropy: 3.3218, recall: 0.5725, relative_absolute_error: 0.475, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2924, root_relative_squared_error: 0.9747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6574, f_measure: 0.3836, kappa: 0.3148, kb_relative_information_score: 565.6871, mean_absolute_error: 0.1233, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.4037, predictive_accuracy: 0.3836, prior_entropy: 3.3218, recall: 0.3836, relative_absolute_error: 0.685, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3511, root_relative_squared_error: 1.1704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.9557, kappa: 0.9505, kb_relative_information_score: 1518.6772, mean_absolute_error: 0.0089, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9577, predictive_accuracy: 0.9554, prior_entropy: 3.3218, recall: 0.9554, relative_absolute_error: 0.0495, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0944, root_relative_squared_error: 0.3147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9062, f_measure: 0.8333, kappa: 0.8124, kb_relative_information_score: 1311.4791, mean_absolute_error: 0.0338, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8443, predictive_accuracy: 0.8311, prior_entropy: 3.3218, recall: 0.8311, relative_absolute_error: 0.1876, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1838, root_relative_squared_error: 0.6126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9449, f_measure: 0.9014, kappa: 0.8898, kb_relative_information_score: 1427.7532, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9038, predictive_accuracy: 0.9008, prior_entropy: 3.3218, recall: 0.9008, relative_absolute_error: 0.1102, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1408, root_relative_squared_error: 0.4695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5308, kappa: 0.0616, kb_relative_information_score: 187.1425, mean_absolute_error: 0.1686, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.1569, prior_entropy: 3.3218, recall: 0.1569, relative_absolute_error: 0.9368, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4106, root_relative_squared_error: 1.3688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9627, f_measure: 0.9331, kappa: 0.9254, kb_relative_information_score: 1480.8953, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9343, predictive_accuracy: 0.9328, prior_entropy: 3.3218, recall: 0.9328, relative_absolute_error: 0.0746, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1159, root_relative_squared_error: 0.3864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.9636, kappa: 0.9595, kb_relative_information_score: 1532.2875, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9642, predictive_accuracy: 0.9636, prior_entropy: 3.3218, recall: 0.9636, relative_absolute_error: 0.0405, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0853, root_relative_squared_error: 0.2844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7488, f_measure: 0.5529, kappa: 0.4977, kb_relative_information_score: 839.7086, mean_absolute_error: 0.0904, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.5754, predictive_accuracy: 0.548, prior_entropy: 3.3218, recall: 0.548, relative_absolute_error: 0.5022, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3007, root_relative_squared_error: 1.0022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9599, f_measure: 0.9279, kappa: 0.9198, kb_relative_information_score: 1472.6465, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.932, predictive_accuracy: 0.9278, prior_entropy: 3.3218, recall: 0.9278, relative_absolute_error: 0.0802, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1202, root_relative_squared_error: 0.4005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kappa: -0.0006, kb_relative_information_score: 94.5052, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.1011, prior_entropy: 3.3218, recall: 0.1011, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.424, root_relative_squared_error: 1.4134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9568, f_measure: 0.9241, kappa: 0.9135, kb_relative_information_score: 1463.4207, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9306, predictive_accuracy: 0.9222, prior_entropy: 3.3218, recall: 0.9222, relative_absolute_error: 0.0865, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1248, root_relative_squared_error: 0.4159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6187, f_measure: 0.3039, kappa: 0.2375, kb_relative_information_score: 449.1727, mean_absolute_error: 0.1371, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.858, predictive_accuracy: 0.3145, prior_entropy: 3.3218, recall: 0.3145, relative_absolute_error: 0.7617, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3703, root_relative_squared_error: 1.2342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9679, f_measure: 0.9424, kappa: 0.9358, kb_relative_information_score: 1496.6204, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9434, predictive_accuracy: 0.9422, prior_entropy: 3.3218, recall: 0.9422, relative_absolute_error: 0.0642, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1075, root_relative_squared_error: 0.3582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5105, kappa: 0.0211, kb_relative_information_score: 126.7606, mean_absolute_error: 0.1759, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.1205, prior_entropy: 3.3218, recall: 0.1205, relative_absolute_error: 0.9772, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4194, root_relative_squared_error: 1.398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8296, f_measure: 0.6763, kappa: 0.6594, kb_relative_information_score: 1080.8418, mean_absolute_error: 0.0613, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.7924, predictive_accuracy: 0.6937, prior_entropy: 3.3218, recall: 0.6937, relative_absolute_error: 0.3404, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2475, root_relative_squared_error: 0.8251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.918, f_measure: 0.8539, kappa: 0.8361, kb_relative_information_score: 1347.0881, mean_absolute_error: 0.0295, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8612, predictive_accuracy: 0.8525, prior_entropy: 3.3218, recall: 0.8525, relative_absolute_error: 0.1639, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1718, root_relative_squared_error: 0.5726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9655, f_measure: 0.938, kappa: 0.9309, kb_relative_information_score: 1489.2873, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9389, predictive_accuracy: 0.9379, prior_entropy: 3.3218, recall: 0.9379, relative_absolute_error: 0.0691, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1115, root_relative_squared_error: 0.3716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.9343, kappa: 0.9268, kb_relative_information_score: 1482.9884, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9353, predictive_accuracy: 0.9341, prior_entropy: 3.3218, recall: 0.9341, relative_absolute_error: 0.0732, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1148, root_relative_squared_error: 0.3827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8979, f_measure: 0.8424, kappa: 0.7957, kb_relative_information_score: 1286.3931, mean_absolute_error: 0.0368, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.917, predictive_accuracy: 0.8161, prior_entropy: 3.3218, recall: 0.8161, relative_absolute_error: 0.2044, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1918, root_relative_squared_error: 0.6393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.9343, kappa: 0.9268, kb_relative_information_score: 1482.9884, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9353, predictive_accuracy: 0.9341, prior_entropy: 3.3218, recall: 0.9341, relative_absolute_error: 0.0732, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1148, root_relative_squared_error: 0.3827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9041, f_measure: 0.8295, kappa: 0.8082, kb_relative_information_score: 1305.1878, mean_absolute_error: 0.0345, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8414, predictive_accuracy: 0.8274, prior_entropy: 3.3218, recall: 0.8274, relative_absolute_error: 0.1918, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1858, root_relative_squared_error: 0.6194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9662, f_measure: 0.9393, kappa: 0.9323, kb_relative_information_score: 1491.3973, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9404, predictive_accuracy: 0.9391, prior_entropy: 3.3218, recall: 0.9391, relative_absolute_error: 0.0677, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1104, root_relative_squared_error: 0.3679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4443, f_measure: 0.0005, kappa: -0.1115, kb_relative_information_score: -71.8668, mean_absolute_error: 0.1999, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.0004, predictive_accuracy: 0.0006, prior_entropy: 3.3218, recall: 0.0006, relative_absolute_error: 1.1104, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4471, root_relative_squared_error: 1.4903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9125, f_measure: 0.8439, kappa: 0.8249, kb_relative_information_score: 1330.3483, mean_absolute_error: 0.0315, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8536, predictive_accuracy: 0.8424, prior_entropy: 3.3218, recall: 0.8424, relative_absolute_error: 0.1751, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1775, root_relative_squared_error: 0.5917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6448, f_measure: 0.3605, kappa: 0.2897, kb_relative_information_score: 527.99, mean_absolute_error: 0.1278, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.3857, predictive_accuracy: 0.361, prior_entropy: 3.3218, recall: 0.361, relative_absolute_error: 0.7101, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3575, root_relative_squared_error: 1.1917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9707, f_measure: 0.9474, kappa: 0.9414, kb_relative_information_score: 1505.0246, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9482, predictive_accuracy: 0.9473, prior_entropy: 3.3218, recall: 0.9473, relative_absolute_error: 0.0586, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1027, root_relative_squared_error: 0.3423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9627, f_measure: 0.9331, kappa: 0.9254, kb_relative_information_score: 1480.8953, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9343, predictive_accuracy: 0.9328, prior_entropy: 3.3218, recall: 0.9328, relative_absolute_error: 0.0746, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1159, root_relative_squared_error: 0.3864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kappa: -0.0006, kb_relative_information_score: 94.5052, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.1011, prior_entropy: 3.3218, recall: 0.1011, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.424, root_relative_squared_error: 1.4134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8148, f_measure: 0.6677, kappa: 0.6296, kb_relative_information_score: 1037.2955, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.6774, predictive_accuracy: 0.6667, prior_entropy: 3.3218, recall: 0.6667, relative_absolute_error: 0.3704, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2582, root_relative_squared_error: 0.8607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.9343, kappa: 0.9268, kb_relative_information_score: 1482.9908, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9353, predictive_accuracy: 0.9341, prior_entropy: 3.3218, recall: 0.9341, relative_absolute_error: 0.0732, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1148, root_relative_squared_error: 0.3827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8845, f_measure: 0.7955, kappa: 0.7691, kb_relative_information_score: 1246.2172, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8183, predictive_accuracy: 0.7922, prior_entropy: 3.3218, recall: 0.7922, relative_absolute_error: 0.2309, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2039, root_relative_squared_error: 0.6795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5315, kappa: 0.063, kb_relative_information_score: 189.2236, mean_absolute_error: 0.1684, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.1582, prior_entropy: 3.3218, recall: 0.1582, relative_absolute_error: 0.9354, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4103, root_relative_squared_error: 1.3677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.9562, kappa: 0.9512, kb_relative_information_score: 1519.7199, mean_absolute_error: 0.0088, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9568, predictive_accuracy: 0.9561, prior_entropy: 3.3218, recall: 0.9561, relative_absolute_error: 0.0488, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0937, root_relative_squared_error: 0.3125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9658, f_measure: 0.9388, kappa: 0.9316, kb_relative_information_score: 1490.4169, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9406, predictive_accuracy: 0.9385, prior_entropy: 3.3218, recall: 0.9385, relative_absolute_error: 0.0684, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1109, root_relative_squared_error: 0.3697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.8589, kappa: 0.8242, kb_relative_information_score: 1328.9859, mean_absolute_error: 0.0316, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9185, predictive_accuracy: 0.8418, prior_entropy: 3.3218, recall: 0.8418, relative_absolute_error: 0.1758, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1779, root_relative_squared_error: 0.5929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7339, kappa: 0.4679, kb_relative_information_score: 793.7735, mean_absolute_error: 0.0957, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.5217, prior_entropy: 3.3218, recall: 0.5217, relative_absolute_error: 0.5315, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3093, root_relative_squared_error: 1.031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8999, f_measure: 0.8226, kappa: 0.7998, kb_relative_information_score: 1292.5198, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8361, predictive_accuracy: 0.8198, prior_entropy: 3.3218, recall: 0.8198, relative_absolute_error: 0.2002, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1898, root_relative_squared_error: 0.6327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5043, kappa: 0.0085, kb_relative_information_score: 108.0649, mean_absolute_error: 0.1782, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.1092, prior_entropy: 3.3218, recall: 0.1092, relative_absolute_error: 0.9898, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4221, root_relative_squared_error: 1.407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.9599, kappa: 0.9554, kb_relative_information_score: 1525.9866, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9605, predictive_accuracy: 0.9598, prior_entropy: 3.3218, recall: 0.9598, relative_absolute_error: 0.0446, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0896, root_relative_squared_error: 0.2988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5015, kappa: 0.0029, kb_relative_information_score: 99.7382, mean_absolute_error: 0.1792, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.1042, prior_entropy: 3.3218, recall: 0.1042, relative_absolute_error: 0.9953, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4233, root_relative_squared_error: 1.4109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.9562, kappa: 0.9512, kb_relative_information_score: 1519.7147, mean_absolute_error: 0.0088, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9567, predictive_accuracy: 0.9561, prior_entropy: 3.3218, recall: 0.9561, relative_absolute_error: 0.0488, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0937, root_relative_squared_error: 0.3125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kappa: -0.0006, kb_relative_information_score: 94.5052, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.1011, prior_entropy: 3.3218, recall: 0.1011, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.424, root_relative_squared_error: 1.4134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.684, f_measure: 0.4725, kappa: 0.3681, kb_relative_information_score: 644.7547, mean_absolute_error: 0.1136, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9142, predictive_accuracy: 0.4319, prior_entropy: 3.3218, recall: 0.4319, relative_absolute_error: 0.6312, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3371, root_relative_squared_error: 1.1236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.657, f_measure: 0.3838, kappa: 0.3141, kb_relative_information_score: 564.5537, mean_absolute_error: 0.1234, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.4145, predictive_accuracy: 0.3829, prior_entropy: 3.3218, recall: 0.3829, relative_absolute_error: 0.6856, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3513, root_relative_squared_error: 1.171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8382, f_measure: 0.7491, kappa: 0.6763, kb_relative_information_score: 1106.7984, mean_absolute_error: 0.0583, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9161, predictive_accuracy: 0.7087, prior_entropy: 3.3218, recall: 0.7087, relative_absolute_error: 0.3236, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2414, root_relative_squared_error: 0.8045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.735, f_measure: 0.5767, kappa: 0.4701, kb_relative_information_score: 797.6072, mean_absolute_error: 0.0953, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9109, predictive_accuracy: 0.5235, prior_entropy: 3.3218, recall: 0.5235, relative_absolute_error: 0.5294, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3087, root_relative_squared_error: 1.029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8147, f_measure: 0.6676, kappa: 0.6295, kb_relative_information_score: 1037.2128, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.6849, predictive_accuracy: 0.6667, prior_entropy: 3.3218, recall: 0.6667, relative_absolute_error: 0.3704, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2582, root_relative_squared_error: 0.8607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5029, kappa: 0.0057, kb_relative_information_score: 103.8736, mean_absolute_error: 0.1787, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.1067, prior_entropy: 3.3218, recall: 0.1067, relative_absolute_error: 0.9926, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4227, root_relative_squared_error: 1.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.635, f_measure: 0.3454, kappa: 0.2701, kb_relative_information_score: 498.6693, mean_absolute_error: 0.1313, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.3696, predictive_accuracy: 0.3434, prior_entropy: 3.3218, recall: 0.3434, relative_absolute_error: 0.7296, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3624, root_relative_squared_error: 1.208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9264, f_measure: 0.8685, kappa: 0.8528, kb_relative_information_score: 1372.0586, mean_absolute_error: 0.0265, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8722, predictive_accuracy: 0.8675, prior_entropy: 3.3218, recall: 0.8675, relative_absolute_error: 0.1472, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1628, root_relative_squared_error: 0.5425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9582, f_measure: 0.9263, kappa: 0.9163, kb_relative_information_score: 1467.5756, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9313, predictive_accuracy: 0.9247, prior_entropy: 3.3218, recall: 0.9247, relative_absolute_error: 0.0837, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1227, root_relative_squared_error: 0.4091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.444, kappa: -0.1121, kb_relative_information_score: -72.9061, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.18, number_of_instances: 1593, prior_entropy: 3.3218, relative_absolute_error: 1.1111, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4472, root_relative_squared_error: 1.4907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.963, f_measure: 0.9337, kappa: 0.9261, kb_relative_information_score: 1481.9419, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9348, predictive_accuracy: 0.9335, prior_entropy: 3.3218, recall: 0.9335, relative_absolute_error: 0.0739, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1154, root_relative_squared_error: 0.3845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kappa: -0.0006, kb_relative_information_score: 94.5052, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.1011, prior_entropy: 3.3218, recall: 0.1011, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.424, root_relative_squared_error: 1.4134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9627, f_measure: 0.9331, kappa: 0.9254, kb_relative_information_score: 1480.8953, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9343, predictive_accuracy: 0.9328, prior_entropy: 3.3218, recall: 0.9328, relative_absolute_error: 0.0746, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1159, root_relative_squared_error: 0.3864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8441, f_measure: 0.7208, kappa: 0.6882, kb_relative_information_score: 1125.1531, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.7293, predictive_accuracy: 0.7194, prior_entropy: 3.3218, recall: 0.7194, relative_absolute_error: 0.3118, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2369, root_relative_squared_error: 0.7897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5273, kappa: 0.0546, kb_relative_information_score: 176.7324, mean_absolute_error: 0.1699, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.1507, prior_entropy: 3.3218, recall: 0.1507, relative_absolute_error: 0.9437, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4122, root_relative_squared_error: 1.3738,

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