OpenML
Supervised Classification on MiceProtein

Supervised Classification on MiceProtein

Task 146800 Supervised Classification MiceProtein 9545 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9954, kappa: 0.9947, kb_relative_information_score: 0.9726, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9954, number_of_instances: 1080, precision: 0.9954, predictive_accuracy: 0.9954, prior_entropy: 2.993, relative_absolute_error: 0.0566, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.041, root_relative_squared_error: 0.1241, unweighted_recall: 0.9957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4852, kappa: -0.0096, kb_relative_information_score: 0.0019, mean_absolute_error: 0.2184, mean_prior_absolute_error: 0.2185, weighted_recall: 0.1306, number_of_instances: 1080, predictive_accuracy: 0.1306, prior_entropy: 2.993, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3305, root_relative_squared_error: 1, unweighted_recall: 0.1181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9864, kappa: 0.9841, kb_relative_information_score: 0.9579, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9861, number_of_instances: 1080, precision: 0.9875, predictive_accuracy: 0.9861, prior_entropy: 2.993, relative_absolute_error: 0.0709, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0597, root_relative_squared_error: 0.1806, unweighted_recall: 0.9864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9963, kappa: 0.9958, kb_relative_information_score: 0.9747, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9963, number_of_instances: 1080, precision: 0.9963, predictive_accuracy: 0.9963, prior_entropy: 2.993, relative_absolute_error: 0.0531, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0376, root_relative_squared_error: 0.1139, unweighted_recall: 0.9966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9954, kappa: 0.9947, kb_relative_information_score: 0.9734, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9954, number_of_instances: 1080, precision: 0.9954, predictive_accuracy: 0.9954, prior_entropy: 2.993, relative_absolute_error: 0.055, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.04, root_relative_squared_error: 0.121, unweighted_recall: 0.9957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9963, kappa: 0.9958, kb_relative_information_score: 0.9742, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9963, number_of_instances: 1080, precision: 0.9963, predictive_accuracy: 0.9963, prior_entropy: 2.993, relative_absolute_error: 0.0541, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0385, root_relative_squared_error: 0.1164, unweighted_recall: 0.9966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9991, kappa: 0.9989, kb_relative_information_score: 0.9803, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9991, number_of_instances: 1080, precision: 0.9991, predictive_accuracy: 0.9991, prior_entropy: 2.993, relative_absolute_error: 0.0432, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0253, root_relative_squared_error: 0.0764, unweighted_recall: 0.9992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9855, kappa: 0.983, kb_relative_information_score: 0.9564, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9852, number_of_instances: 1080, precision: 0.9868, predictive_accuracy: 0.9852, prior_entropy: 2.993, relative_absolute_error: 0.0728, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0615, root_relative_squared_error: 0.1861, unweighted_recall: 0.9852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.8296, kappa: 0.7952, kb_relative_information_score: 0.5316, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.2185, weighted_recall: 0.8213, number_of_instances: 1080, precision: 0.8579, predictive_accuracy: 0.8213, prior_entropy: 2.993, relative_absolute_error: 0.5914, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.2294, root_relative_squared_error: 0.6941, unweighted_recall: 0.8186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9981, kappa: 0.9979, kb_relative_information_score: 0.9799, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9981, number_of_instances: 1080, precision: 0.9982, predictive_accuracy: 0.9981, prior_entropy: 2.993, relative_absolute_error: 0.0429, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0279, root_relative_squared_error: 0.0845, unweighted_recall: 0.9982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9917, kappa: 0.9905, kb_relative_information_score: 0.9561, mean_absolute_error: 0.0186, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9917, number_of_instances: 1080, precision: 0.9918, predictive_accuracy: 0.9917, prior_entropy: 2.993, relative_absolute_error: 0.0853, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0579, root_relative_squared_error: 0.1751, unweighted_recall: 0.9919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9917, kappa: 0.9905, kb_relative_information_score: 0.9712, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9917, number_of_instances: 1080, precision: 0.9918, predictive_accuracy: 0.9917, prior_entropy: 2.993, relative_absolute_error: 0.0564, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0457, root_relative_squared_error: 0.1383, unweighted_recall: 0.9922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9981, kappa: 0.9979, kb_relative_information_score: 0.9798, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9981, number_of_instances: 1080, precision: 0.9982, predictive_accuracy: 0.9981, prior_entropy: 2.993, relative_absolute_error: 0.0429, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.028, root_relative_squared_error: 0.0846, unweighted_recall: 0.9982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9099, kappa: 0.8908, kb_relative_information_score: 0.7812, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9046, number_of_instances: 1080, precision: 0.926, predictive_accuracy: 0.9046, prior_entropy: 2.993, relative_absolute_error: 0.2895, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1545, root_relative_squared_error: 0.4674, unweighted_recall: 0.9033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9972, kappa: 0.9968, kb_relative_information_score: 0.9796, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9972, number_of_instances: 1080, precision: 0.9972, predictive_accuracy: 0.9972, prior_entropy: 2.993, relative_absolute_error: 0.0432, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0288, root_relative_squared_error: 0.0871, unweighted_recall: 0.9974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9991, kappa: 0.9989, kb_relative_information_score: 0.9803, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9991, number_of_instances: 1080, precision: 0.9991, predictive_accuracy: 0.9991, prior_entropy: 2.993, relative_absolute_error: 0.0433, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0251, root_relative_squared_error: 0.076, unweighted_recall: 0.9992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9408, f_measure: 0.661, kappa: 0.6259, kb_relative_information_score: 0.3577, mean_absolute_error: 0.1807, mean_prior_absolute_error: 0.2185, weighted_recall: 0.6731, number_of_instances: 1080, precision: 0.6776, predictive_accuracy: 0.6731, prior_entropy: 2.993, relative_absolute_error: 0.827, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.2815, root_relative_squared_error: 0.8517, unweighted_recall: 0.6777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9963, kappa: 0.9958, kb_relative_information_score: 0.9778, mean_absolute_error: 0.0099, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9963, number_of_instances: 1080, precision: 0.9964, predictive_accuracy: 0.9963, prior_entropy: 2.993, relative_absolute_error: 0.0455, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0321, root_relative_squared_error: 0.097, unweighted_recall: 0.9966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9963, kappa: 0.9958, kb_relative_information_score: 0.9754, mean_absolute_error: 0.0113, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9963, number_of_instances: 1080, precision: 0.9963, predictive_accuracy: 0.9963, prior_entropy: 2.993, relative_absolute_error: 0.0517, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0377, root_relative_squared_error: 0.1141, unweighted_recall: 0.9965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9981, kappa: 0.9979, kb_relative_information_score: 0.9795, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9981, number_of_instances: 1080, precision: 0.9982, predictive_accuracy: 0.9981, prior_entropy: 2.993, relative_absolute_error: 0.0446, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0288, root_relative_squared_error: 0.087, unweighted_recall: 0.9983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9972, kappa: 0.9968, kb_relative_information_score: 0.9788, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9972, number_of_instances: 1080, precision: 0.9973, predictive_accuracy: 0.9972, prior_entropy: 2.993, relative_absolute_error: 0.0442, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0301, root_relative_squared_error: 0.0912, unweighted_recall: 0.9974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.8998, kappa: 0.878, kb_relative_information_score: 0.7435, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.2185, weighted_recall: 0.8935, number_of_instances: 1080, precision: 0.9189, predictive_accuracy: 0.8935, prior_entropy: 2.993, relative_absolute_error: 0.338, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1675, root_relative_squared_error: 0.5067, unweighted_recall: 0.8921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9991, kappa: 0.9989, kb_relative_information_score: 0.9808, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9991, number_of_instances: 1080, precision: 0.9991, predictive_accuracy: 0.9991, prior_entropy: 2.993, relative_absolute_error: 0.0427, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0232, root_relative_squared_error: 0.0701, unweighted_recall: 0.9992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9954, kappa: 0.9947, kb_relative_information_score: 0.974, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9954, number_of_instances: 1080, precision: 0.9954, predictive_accuracy: 0.9954, prior_entropy: 2.993, relative_absolute_error: 0.0544, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0392, root_relative_squared_error: 0.1186, unweighted_recall: 0.9957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.8907, kappa: 0.875, kb_relative_information_score: 0.8452, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.2185, weighted_recall: 0.8907, number_of_instances: 1080, precision: 0.8937, predictive_accuracy: 0.8907, prior_entropy: 2.993, relative_absolute_error: 0.2464, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1472, root_relative_squared_error: 0.4453, unweighted_recall: 0.8942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.8653, kappa: 0.8367, kb_relative_information_score: 0.6442, mean_absolute_error: 0.101, mean_prior_absolute_error: 0.2185, weighted_recall: 0.8574, number_of_instances: 1080, precision: 0.8885, predictive_accuracy: 0.8574, prior_entropy: 2.993, relative_absolute_error: 0.4623, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1985, root_relative_squared_error: 0.6006, unweighted_recall: 0.8564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9881, kappa: 0.9862, kb_relative_information_score: 0.9644, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.2185, weighted_recall: 0.988, number_of_instances: 1080, precision: 0.9887, predictive_accuracy: 0.988, prior_entropy: 2.993, relative_absolute_error: 0.0628, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0517, root_relative_squared_error: 0.1565, unweighted_recall: 0.9881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9935, kappa: 0.9926, kb_relative_information_score: 0.9725, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9935, number_of_instances: 1080, precision: 0.9936, predictive_accuracy: 0.9935, prior_entropy: 2.993, relative_absolute_error: 0.0568, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0415, root_relative_squared_error: 0.1256, unweighted_recall: 0.9939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8457, f_measure: 0.4761, kappa: 0.3938, kb_relative_information_score: 0.2993, mean_absolute_error: 0.1852, mean_prior_absolute_error: 0.2185, weighted_recall: 0.4731, number_of_instances: 1080, precision: 0.5596, predictive_accuracy: 0.4731, prior_entropy: 2.993, relative_absolute_error: 0.8477, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.2957, root_relative_squared_error: 0.8947, unweighted_recall: 0.4601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9935, kappa: 0.9926, kb_relative_information_score: 0.9732, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9935, number_of_instances: 1080, precision: 0.9937, predictive_accuracy: 0.9935, prior_entropy: 2.993, relative_absolute_error: 0.0513, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0399, root_relative_squared_error: 0.1208, unweighted_recall: 0.9937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9364, f_measure: 0.6073, kappa: 0.576, kb_relative_information_score: 0.3269, mean_absolute_error: 0.1837, mean_prior_absolute_error: 0.2185, weighted_recall: 0.6287, number_of_instances: 1080, precision: 0.6196, predictive_accuracy: 0.6287, prior_entropy: 2.993, relative_absolute_error: 0.8406, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.2871, root_relative_squared_error: 0.8687, unweighted_recall: 0.6344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5702, kappa: 0.0508, kb_relative_information_score: 0.0043, mean_absolute_error: 0.2183, mean_prior_absolute_error: 0.2185, weighted_recall: 0.1824, number_of_instances: 1080, predictive_accuracy: 0.1824, prior_entropy: 2.993, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3302, root_relative_squared_error: 0.9991, unweighted_recall: 0.166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9855, kappa: 0.983, kb_relative_information_score: 0.9563, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9852, number_of_instances: 1080, precision: 0.9868, predictive_accuracy: 0.9852, prior_entropy: 2.993, relative_absolute_error: 0.0728, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0615, root_relative_squared_error: 0.1862, unweighted_recall: 0.9852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9235, f_measure: 0.6714, kappa: 0.611, kb_relative_information_score: 0.2312, mean_absolute_error: 0.1895, mean_prior_absolute_error: 0.2185, weighted_recall: 0.6611, number_of_instances: 1080, precision: 0.7671, predictive_accuracy: 0.6611, prior_entropy: 2.993, relative_absolute_error: 0.8673, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.2948, root_relative_squared_error: 0.8921, unweighted_recall: 0.6494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9981, kappa: 0.9979, kb_relative_information_score: 0.9748, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9981, number_of_instances: 1080, precision: 0.9982, predictive_accuracy: 0.9981, prior_entropy: 2.993, relative_absolute_error: 0.053, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0338, root_relative_squared_error: 0.1024, unweighted_recall: 0.9982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9954, kappa: 0.9947, kb_relative_information_score: 0.9726, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9954, number_of_instances: 1080, precision: 0.9954, predictive_accuracy: 0.9954, prior_entropy: 2.993, relative_absolute_error: 0.0566, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.041, root_relative_squared_error: 0.1241, unweighted_recall: 0.9957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9963, kappa: 0.9958, kb_relative_information_score: 0.9764, mean_absolute_error: 0.0108, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9963, number_of_instances: 1080, precision: 0.9963, predictive_accuracy: 0.9963, prior_entropy: 2.993, relative_absolute_error: 0.0496, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.037, root_relative_squared_error: 0.1119, unweighted_recall: 0.9964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9963, kappa: 0.9958, kb_relative_information_score: 0.9779, mean_absolute_error: 0.0099, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9963, number_of_instances: 1080, precision: 0.9964, predictive_accuracy: 0.9963, prior_entropy: 2.993, relative_absolute_error: 0.0454, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0319, root_relative_squared_error: 0.0965, unweighted_recall: 0.9966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.988, kappa: 0.9862, kb_relative_information_score: 0.9866, mean_absolute_error: 0.0045, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.988, predictive_accuracy: 0.988, prior_entropy: 2.993, recall: 0.988, relative_absolute_error: 0.0207, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0454, root_relative_squared_error: 0.1375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9889, kappa: 0.9873, kb_relative_information_score: 0.9858, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9889, predictive_accuracy: 0.9889, prior_entropy: 2.993, recall: 0.9889, relative_absolute_error: 0.0211, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0459, root_relative_squared_error: 0.1388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9963, kappa: 0.9958, kb_relative_information_score: 0.9962, mean_absolute_error: 0.0009, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9964, predictive_accuracy: 0.9963, prior_entropy: 2.993, recall: 0.9963, relative_absolute_error: 0.0042, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0304, root_relative_squared_error: 0.0921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9861, kappa: 0.9841, kb_relative_information_score: 0.9849, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9862, predictive_accuracy: 0.9861, prior_entropy: 2.993, recall: 0.9861, relative_absolute_error: 0.0217, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0493, root_relative_squared_error: 0.1493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9963, kappa: 0.9958, kb_relative_information_score: 0.9897, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9963, predictive_accuracy: 0.9963, prior_entropy: 2.993, recall: 0.9963, relative_absolute_error: 0.019, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0323, root_relative_squared_error: 0.0978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9824, kappa: 0.9799, kb_relative_information_score: 0.9735, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9826, predictive_accuracy: 0.9824, prior_entropy: 2.993, recall: 0.9824, relative_absolute_error: 0.0431, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0602, root_relative_squared_error: 0.1822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9833, kappa: 0.9809, kb_relative_information_score: 0.9721, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9836, predictive_accuracy: 0.9833, prior_entropy: 2.993, recall: 0.9833, relative_absolute_error: 0.049, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0637, root_relative_squared_error: 0.1927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9194, f_measure: 0.8593, kappa: 0.8389, kb_relative_information_score: 0.8503, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8595, predictive_accuracy: 0.8593, prior_entropy: 2.993, recall: 0.8593, relative_absolute_error: 0.1611, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1876, root_relative_squared_error: 0.5676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9583, kappa: 0.9523, kb_relative_information_score: 0.839, mean_absolute_error: 0.0638, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9586, predictive_accuracy: 0.9583, prior_entropy: 2.993, recall: 0.9583, relative_absolute_error: 0.2921, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1367, root_relative_squared_error: 0.4135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9759, kappa: 0.9725, kb_relative_information_score: 0.9745, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.976, predictive_accuracy: 0.9759, prior_entropy: 2.993, recall: 0.9759, relative_absolute_error: 0.0275, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0776, root_relative_squared_error: 0.2347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9194, f_measure: 0.8593, kappa: 0.8389, kb_relative_information_score: 0.8503, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8595, predictive_accuracy: 0.8593, prior_entropy: 2.993, recall: 0.8593, relative_absolute_error: 0.1611, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1876, root_relative_squared_error: 0.5676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9184, f_measure: 0.8575, kappa: 0.8368, kb_relative_information_score: 0.8484, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8578, predictive_accuracy: 0.8574, prior_entropy: 2.993, recall: 0.8574, relative_absolute_error: 0.1632, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1888, root_relative_squared_error: 0.5713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9833, kappa: 0.9809, kb_relative_information_score: 0.8672, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9833, predictive_accuracy: 0.9833, prior_entropy: 2.993, recall: 0.9833, relative_absolute_error: 0.2486, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1197, root_relative_squared_error: 0.3621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9452, f_measure: 0.6783, kappa: 0.6322, kb_relative_information_score: 0.672, mean_absolute_error: 0.0843, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.6828, predictive_accuracy: 0.6787, prior_entropy: 2.993, recall: 0.6787, relative_absolute_error: 0.3858, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.2581, root_relative_squared_error: 0.781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9194, f_measure: 0.8593, kappa: 0.8389, kb_relative_information_score: 0.8503, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8595, predictive_accuracy: 0.8593, prior_entropy: 2.993, recall: 0.8593, relative_absolute_error: 0.1611, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1876, root_relative_squared_error: 0.5676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9833, kappa: 0.9809, kb_relative_information_score: 0.8672, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9833, predictive_accuracy: 0.9833, prior_entropy: 2.993, recall: 0.9833, relative_absolute_error: 0.2486, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1197, root_relative_squared_error: 0.3621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9184, f_measure: 0.8575, kappa: 0.8368, kb_relative_information_score: 0.8484, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8578, predictive_accuracy: 0.8574, prior_entropy: 2.993, recall: 0.8574, relative_absolute_error: 0.1632, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1888, root_relative_squared_error: 0.5713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9452, f_measure: 0.6783, kappa: 0.6322, kb_relative_information_score: 0.672, mean_absolute_error: 0.0843, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.6828, predictive_accuracy: 0.6787, prior_entropy: 2.993, recall: 0.6787, relative_absolute_error: 0.3858, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.2581, root_relative_squared_error: 0.781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9824, kappa: 0.9799, kb_relative_information_score: 0.9735, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9826, predictive_accuracy: 0.9824, prior_entropy: 2.993, recall: 0.9824, relative_absolute_error: 0.0431, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0602, root_relative_squared_error: 0.1822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.771, kappa: 0.1548, kb_relative_information_score: 0.3235, mean_absolute_error: 0.1885, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.2722, prior_entropy: 2.993, recall: 0.2722, relative_absolute_error: 0.8628, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3071, root_relative_squared_error: 0.9292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.771, kappa: 0.1548, kb_relative_information_score: 0.3235, mean_absolute_error: 0.1885, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.2722, prior_entropy: 2.993, recall: 0.2722, relative_absolute_error: 0.8628, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3071, root_relative_squared_error: 0.9292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9991, kappa: 0.9989, kb_relative_information_score: 0.9114, mean_absolute_error: 0.0403, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9991, predictive_accuracy: 0.9991, prior_entropy: 2.993, recall: 0.9991, relative_absolute_error: 0.1844, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0785, root_relative_squared_error: 0.2374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 0.9141, mean_absolute_error: 0.0392, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 1, predictive_accuracy: 1, prior_entropy: 2.993, recall: 1, relative_absolute_error: 0.1792, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0763, root_relative_squared_error: 0.2309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 1, predictive_accuracy: 1, prior_entropy: 2.993, recall: 1, root_mean_prior_squared_error: 0.3305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 1, predictive_accuracy: 1, prior_entropy: 2.993, recall: 1, root_mean_prior_squared_error: 0.3305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9981, kappa: 0.9979, kb_relative_information_score: 0.9985, mean_absolute_error: 0.0004, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9982, predictive_accuracy: 0.9981, prior_entropy: 2.993, recall: 0.9981, relative_absolute_error: 0.0019, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0174, root_relative_squared_error: 0.0528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9991, kappa: 0.9989, kb_relative_information_score: 0.3317, mean_absolute_error: 0.1875, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9991, predictive_accuracy: 0.9991, prior_entropy: 2.993, recall: 0.9991, relative_absolute_error: 0.8583, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.2912, root_relative_squared_error: 0.8812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 0.3318, mean_absolute_error: 0.1875, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 1, predictive_accuracy: 1, prior_entropy: 2.993, recall: 1, relative_absolute_error: 0.8583, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.2912, root_relative_squared_error: 0.8812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9873, kappa: 0.9852, kb_relative_information_score: 0.9863, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9883, predictive_accuracy: 0.987, prior_entropy: 2.993, recall: 0.987, relative_absolute_error: 0.0148, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0569, root_relative_squared_error: 0.1722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9873, kappa: 0.9852, kb_relative_information_score: 0.9863, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9883, predictive_accuracy: 0.987, prior_entropy: 2.993, recall: 0.987, relative_absolute_error: 0.0148, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0569, root_relative_squared_error: 0.1722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6022, f_measure: 0.3014, kappa: 0.2037, kb_relative_information_score: 0.2567, mean_absolute_error: 0.1736, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.315, predictive_accuracy: 0.3056, prior_entropy: 2.993, recall: 0.3056, relative_absolute_error: 0.7947, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4167, root_relative_squared_error: 1.2607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6022, f_measure: 0.3014, kappa: 0.2037, kb_relative_information_score: 0.2567, mean_absolute_error: 0.1736, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.315, predictive_accuracy: 0.3056, prior_entropy: 2.993, recall: 0.3056, relative_absolute_error: 0.7947, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4167, root_relative_squared_error: 1.2607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9963, kappa: 0.9958, kb_relative_information_score: 0.9961, mean_absolute_error: 0.0009, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9963, predictive_accuracy: 0.9963, prior_entropy: 2.993, recall: 0.9963, relative_absolute_error: 0.0042, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0304, root_relative_squared_error: 0.0921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9963, kappa: 0.9958, kb_relative_information_score: 0.9961, mean_absolute_error: 0.0009, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9963, predictive_accuracy: 0.9963, prior_entropy: 2.993, recall: 0.9963, relative_absolute_error: 0.0042, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0304, root_relative_squared_error: 0.0921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5597, kappa: 0.1194, kb_relative_information_score: 0.1824, mean_absolute_error: 0.1896, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.2417, prior_entropy: 2.993, recall: 0.2417, relative_absolute_error: 0.8678, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4354, root_relative_squared_error: 1.3174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5597, kappa: 0.1194, kb_relative_information_score: 0.1824, mean_absolute_error: 0.1896, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.2417, prior_entropy: 2.993, recall: 0.2417, relative_absolute_error: 0.8678, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4354, root_relative_squared_error: 1.3174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7742, f_measure: 0.5984, kappa: 0.5479, kb_relative_information_score: 0.5758, mean_absolute_error: 0.0986, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.6182, predictive_accuracy: 0.6056, prior_entropy: 2.993, recall: 0.6056, relative_absolute_error: 0.4514, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.314, root_relative_squared_error: 0.9501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7742, f_measure: 0.5984, kappa: 0.5479, kb_relative_information_score: 0.5758, mean_absolute_error: 0.0986, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.6182, predictive_accuracy: 0.6056, prior_entropy: 2.993, recall: 0.6056, relative_absolute_error: 0.4514, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.314, root_relative_squared_error: 0.9501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9972, kappa: 0.9968, kb_relative_information_score: 0.9971, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9972, predictive_accuracy: 0.9972, prior_entropy: 2.993, recall: 0.9972, relative_absolute_error: 0.0032, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0264, root_relative_squared_error: 0.0797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9972, kappa: 0.9968, kb_relative_information_score: 0.9971, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9972, predictive_accuracy: 0.9972, prior_entropy: 2.993, recall: 0.9972, relative_absolute_error: 0.0032, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0264, root_relative_squared_error: 0.0797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9981, kappa: 0.9979, kb_relative_information_score: 0.9981, mean_absolute_error: 0.0005, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9982, predictive_accuracy: 0.9981, prior_entropy: 2.993, recall: 0.9981, relative_absolute_error: 0.0021, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0215, root_relative_squared_error: 0.0651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9981, kappa: 0.9979, kb_relative_information_score: 0.9981, mean_absolute_error: 0.0005, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9982, predictive_accuracy: 0.9981, prior_entropy: 2.993, recall: 0.9981, relative_absolute_error: 0.0021, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0215, root_relative_squared_error: 0.0651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8081, f_measure: 0.6347, kappa: 0.6168, kb_relative_information_score: 0.6371, mean_absolute_error: 0.0833, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.7355, predictive_accuracy: 0.6667, prior_entropy: 2.993, recall: 0.6667, relative_absolute_error: 0.3815, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.2887, root_relative_squared_error: 0.8734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8081, f_measure: 0.6347, kappa: 0.6168, kb_relative_information_score: 0.6371, mean_absolute_error: 0.0833, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.7355, predictive_accuracy: 0.6667, prior_entropy: 2.993, recall: 0.6667, relative_absolute_error: 0.3815, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.2887, root_relative_squared_error: 0.8734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9005, f_measure: 0.8503, kappa: 0.8033, kb_relative_information_score: 0.8141, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9233, predictive_accuracy: 0.8287, prior_entropy: 2.993, recall: 0.8287, relative_absolute_error: 0.196, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.2069, root_relative_squared_error: 0.6261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9005, f_measure: 0.8503, kappa: 0.8033, kb_relative_information_score: 0.8141, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9233, predictive_accuracy: 0.8287, prior_entropy: 2.993, recall: 0.8287, relative_absolute_error: 0.196, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.2069, root_relative_squared_error: 0.6261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5747, kappa: 0.1502, kb_relative_information_score: 0.2113, mean_absolute_error: 0.1831, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.2676, prior_entropy: 2.993, recall: 0.2676, relative_absolute_error: 0.8381, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4279, root_relative_squared_error: 1.2947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5747, kappa: 0.1502, kb_relative_information_score: 0.2113, mean_absolute_error: 0.1831, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.2676, prior_entropy: 2.993, recall: 0.2676, relative_absolute_error: 0.8381, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4279, root_relative_squared_error: 1.2947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5661, kappa: 0.1323, kb_relative_information_score: 0.1938, mean_absolute_error: 0.1868, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.2528, prior_entropy: 2.993, recall: 0.2528, relative_absolute_error: 0.8551, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4322, root_relative_squared_error: 1.3077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5661, kappa: 0.1323, kb_relative_information_score: 0.1938, mean_absolute_error: 0.1868, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.2528, prior_entropy: 2.993, recall: 0.2528, relative_absolute_error: 0.8551, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4322, root_relative_squared_error: 1.3077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.457, f_measure: 0.0553, kappa: -0.086, kb_relative_information_score: -0.0104, mean_absolute_error: 0.237, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.0733, predictive_accuracy: 0.0519, prior_entropy: 2.993, recall: 0.0519, relative_absolute_error: 1.085, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4869, root_relative_squared_error: 1.4731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.457, f_measure: 0.0553, kappa: -0.086, kb_relative_information_score: -0.0104, mean_absolute_error: 0.237, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.0733, predictive_accuracy: 0.0519, prior_entropy: 2.993, recall: 0.0519, relative_absolute_error: 1.085, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4869, root_relative_squared_error: 1.4731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9981, kappa: 0.9979, kb_relative_information_score: 0.9981, mean_absolute_error: 0.0005, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9982, predictive_accuracy: 0.9981, prior_entropy: 2.993, recall: 0.9981, relative_absolute_error: 0.0021, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0215, root_relative_squared_error: 0.0651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9981, kappa: 0.9979, kb_relative_information_score: 0.9981, mean_absolute_error: 0.0005, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9982, predictive_accuracy: 0.9981, prior_entropy: 2.993, recall: 0.9981, relative_absolute_error: 0.0021, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0215, root_relative_squared_error: 0.0651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.988, kappa: 0.9862, kb_relative_information_score: 0.9874, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9881, predictive_accuracy: 0.988, prior_entropy: 2.993, recall: 0.988, relative_absolute_error: 0.0138, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0549, root_relative_squared_error: 0.166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.988, kappa: 0.9862, kb_relative_information_score: 0.9874, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9881, predictive_accuracy: 0.988, prior_entropy: 2.993, recall: 0.988, relative_absolute_error: 0.0138, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0549, root_relative_squared_error: 0.166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4405, f_measure: 0.0174, kappa: -0.1188, kb_relative_information_score: -0.0436, mean_absolute_error: 0.2449, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.0251, predictive_accuracy: 0.0204, prior_entropy: 2.993, recall: 0.0204, relative_absolute_error: 1.121, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4949, root_relative_squared_error: 1.4974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4405, f_measure: 0.0174, kappa: -0.1188, kb_relative_information_score: -0.0436, mean_absolute_error: 0.2449, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.0251, predictive_accuracy: 0.0204, prior_entropy: 2.993, recall: 0.0204, relative_absolute_error: 1.121, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4949, root_relative_squared_error: 1.4974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9954, kappa: 0.9947, kb_relative_information_score: 0.9951, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9954, predictive_accuracy: 0.9954, prior_entropy: 2.993, recall: 0.9954, relative_absolute_error: 0.0053, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.034, root_relative_squared_error: 0.1029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9954, kappa: 0.9947, kb_relative_information_score: 0.9951, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9954, predictive_accuracy: 0.9954, prior_entropy: 2.993, recall: 0.9954, relative_absolute_error: 0.0053, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.034, root_relative_squared_error: 0.1029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9972, kappa: 0.9968, kb_relative_information_score: 0.9971, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9972, predictive_accuracy: 0.9972, prior_entropy: 2.993, recall: 0.9972, relative_absolute_error: 0.0032, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0264, root_relative_squared_error: 0.0797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9972, kappa: 0.9968, kb_relative_information_score: 0.9971, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9972, predictive_accuracy: 0.9972, prior_entropy: 2.993, recall: 0.9972, relative_absolute_error: 0.0032, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0264, root_relative_squared_error: 0.0797,

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