Task
Supervised Classification on nomao

Supervised Classification on nomao

Task 9977 Supervised Classification nomao 31714 runs submitted
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  • OpenML-CC18 OpenML100 study_123 study_14 study_218 study_99
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31714 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9695, kappa: 0.9253, kb_relative_information_score: 0.8871, mean_absolute_error: 0.0474, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9695, predictive_accuracy: 0.9695, prior_entropy: 0.863, recall: 0.9695, relative_absolute_error: 0.1162, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1518, root_relative_squared_error: 0.336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9718, kappa: 0.9308, kb_relative_information_score: 0.9042, mean_absolute_error: 0.0396, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9718, predictive_accuracy: 0.9718, prior_entropy: 0.863, recall: 0.9718, relative_absolute_error: 0.097, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1452, root_relative_squared_error: 0.3215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9648, kappa: 0.9136, kb_relative_information_score: 0.875, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9647, predictive_accuracy: 0.9648, prior_entropy: 0.863, recall: 0.9648, relative_absolute_error: 0.1273, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1629, root_relative_squared_error: 0.3607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9722, kappa: 0.9317, kb_relative_information_score: 0.9088, mean_absolute_error: 0.0374, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9721, predictive_accuracy: 0.9722, prior_entropy: 0.863, recall: 0.9722, relative_absolute_error: 0.0916, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1429, root_relative_squared_error: 0.3163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.973, kappa: 0.9339, kb_relative_information_score: 0.9157, mean_absolute_error: 0.0338, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.973, predictive_accuracy: 0.9731, prior_entropy: 0.863, recall: 0.9731, relative_absolute_error: 0.0829, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1447, root_relative_squared_error: 0.3204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9682, kappa: 0.9221, kb_relative_information_score: 0.8957, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9682, predictive_accuracy: 0.9683, prior_entropy: 0.863, recall: 0.9683, relative_absolute_error: 0.1043, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.155, root_relative_squared_error: 0.3431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9479, kappa: 0.8724, kb_relative_information_score: 0.8263, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9479, predictive_accuracy: 0.9479, prior_entropy: 0.863, recall: 0.9479, relative_absolute_error: 0.1742, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1979, root_relative_squared_error: 0.4381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9748, kappa: 0.9382, kb_relative_information_score: 0.9306, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9748, predictive_accuracy: 0.9748, prior_entropy: 0.863, recall: 0.9748, relative_absolute_error: 0.0653, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1441, root_relative_squared_error: 0.319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9708, kappa: 0.9284, kb_relative_information_score: 0.8915, mean_absolute_error: 0.0456, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9708, predictive_accuracy: 0.9708, prior_entropy: 0.863, recall: 0.9708, relative_absolute_error: 0.1118, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1491, root_relative_squared_error: 0.3301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9307, kappa: 0.8284, kb_relative_information_score: 0.7158, mean_absolute_error: 0.1263, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.931, predictive_accuracy: 0.9316, prior_entropy: 0.863, recall: 0.9316, relative_absolute_error: 0.3096, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2189, root_relative_squared_error: 0.4846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.947, kappa: 0.8702, kb_relative_information_score: 0.8067, mean_absolute_error: 0.081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.947, predictive_accuracy: 0.947, prior_entropy: 0.863, recall: 0.947, relative_absolute_error: 0.1985, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1999, root_relative_squared_error: 0.4425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9445, kappa: 0.8632, kb_relative_information_score: 0.7625, mean_absolute_error: 0.1041, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9444, predictive_accuracy: 0.9448, prior_entropy: 0.863, recall: 0.9448, relative_absolute_error: 0.255, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2046, root_relative_squared_error: 0.4528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6064, kappa: 0, kb_relative_information_score: 0.0133, mean_absolute_error: 0.3714, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5919, predictive_accuracy: 0.6286, prior_entropy: 0.863, recall: 0.6286, relative_absolute_error: 0.91, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.6094, root_relative_squared_error: 1.3491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9731, kappa: 0.9339, kb_relative_information_score: 0.907, mean_absolute_error: 0.0385, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.973, predictive_accuracy: 0.9731, prior_entropy: 0.863, recall: 0.9731, relative_absolute_error: 0.0943, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1423, root_relative_squared_error: 0.3151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9691, kappa: 0.9242, kb_relative_information_score: 0.8852, mean_absolute_error: 0.0484, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9691, predictive_accuracy: 0.9691, prior_entropy: 0.863, recall: 0.9691, relative_absolute_error: 0.1185, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.152, root_relative_squared_error: 0.3364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9671, kappa: 0.9194, kb_relative_information_score: 0.8446, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9671, predictive_accuracy: 0.9672, prior_entropy: 0.863, recall: 0.9672, relative_absolute_error: 0.1741, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1589, root_relative_squared_error: 0.3517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.9515, kappa: 0.8811, kb_relative_information_score: 0.8504, mean_absolute_error: 0.0596, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9515, predictive_accuracy: 0.9515, prior_entropy: 0.863, recall: 0.9515, relative_absolute_error: 0.146, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1986, root_relative_squared_error: 0.4397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9698, kappa: 0.926, kb_relative_information_score: 0.8856, mean_absolute_error: 0.0485, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9698, predictive_accuracy: 0.9699, prior_entropy: 0.863, recall: 0.9699, relative_absolute_error: 0.1187, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1512, root_relative_squared_error: 0.3347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9698, kappa: 0.926, kb_relative_information_score: 0.8856, mean_absolute_error: 0.0485, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9698, predictive_accuracy: 0.9699, prior_entropy: 0.863, recall: 0.9699, relative_absolute_error: 0.1187, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1512, root_relative_squared_error: 0.3347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9698, kappa: 0.926, kb_relative_information_score: 0.8856, mean_absolute_error: 0.0485, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9698, predictive_accuracy: 0.9699, prior_entropy: 0.863, recall: 0.9699, relative_absolute_error: 0.1187, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1512, root_relative_squared_error: 0.3347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9451, f_measure: 0.9514, kappa: 0.8814, kb_relative_information_score: 0.8702, mean_absolute_error: 0.0489, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9518, predictive_accuracy: 0.9511, prior_entropy: 0.863, recall: 0.9511, relative_absolute_error: 0.1197, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.221, root_relative_squared_error: 0.4894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, f_measure: 0.964, kappa: 0.9116, kb_relative_information_score: 0.9044, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9639, predictive_accuracy: 0.964, prior_entropy: 0.863, recall: 0.964, relative_absolute_error: 0.0882, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1897, root_relative_squared_error: 0.4199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.954, f_measure: 0.9644, kappa: 0.9125, kb_relative_information_score: 0.9056, mean_absolute_error: 0.0355, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9644, predictive_accuracy: 0.9645, prior_entropy: 0.863, recall: 0.9645, relative_absolute_error: 0.087, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1885, root_relative_squared_error: 0.4172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.951, f_measure: 0.9616, kappa: 0.9058, kb_relative_information_score: 0.8983, mean_absolute_error: 0.0383, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9616, predictive_accuracy: 0.9617, prior_entropy: 0.863, recall: 0.9617, relative_absolute_error: 0.0938, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1956, root_relative_squared_error: 0.4331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9259, f_measure: 0.9411, kappa: 0.8555, kb_relative_information_score: 0.844, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9411, predictive_accuracy: 0.9413, prior_entropy: 0.863, recall: 0.9413, relative_absolute_error: 0.1439, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2423, root_relative_squared_error: 0.5365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8933, f_measure: 0.901, kappa: 0.7616, kb_relative_information_score: 0.733, mean_absolute_error: 0.1005, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9044, predictive_accuracy: 0.8995, prior_entropy: 0.863, recall: 0.8995, relative_absolute_error: 0.2462, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.317, root_relative_squared_error: 0.7017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, f_measure: 0.9629, kappa: 0.9092, kb_relative_information_score: 0.9016, mean_absolute_error: 0.0371, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9629, predictive_accuracy: 0.9629, prior_entropy: 0.863, recall: 0.9629, relative_absolute_error: 0.0908, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1925, root_relative_squared_error: 0.4261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9471, f_measure: 0.9588, kappa: 0.8988, kb_relative_information_score: 0.8908, mean_absolute_error: 0.0411, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9588, predictive_accuracy: 0.9589, prior_entropy: 0.863, recall: 0.9589, relative_absolute_error: 0.1007, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2027, root_relative_squared_error: 0.4487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9465, f_measure: 0.954, kappa: 0.8877, kb_relative_information_score: 0.8775, mean_absolute_error: 0.0461, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9542, predictive_accuracy: 0.9539, prior_entropy: 0.863, recall: 0.9539, relative_absolute_error: 0.113, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2147, root_relative_squared_error: 0.4753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9548, f_measure: 0.965, kappa: 0.9141, kb_relative_information_score: 0.9073, mean_absolute_error: 0.0349, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.965, predictive_accuracy: 0.9651, prior_entropy: 0.863, recall: 0.9651, relative_absolute_error: 0.0855, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1868, root_relative_squared_error: 0.4134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9496, f_measure: 0.962, kappa: 0.9065, kb_relative_information_score: 0.8995, mean_absolute_error: 0.0378, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.962, predictive_accuracy: 0.9622, prior_entropy: 0.863, recall: 0.9622, relative_absolute_error: 0.0927, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1945, root_relative_squared_error: 0.4306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9529, f_measure: 0.9621, kappa: 0.907, kb_relative_information_score: 0.8992, mean_absolute_error: 0.0379, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.962, predictive_accuracy: 0.9621, prior_entropy: 0.863, recall: 0.9621, relative_absolute_error: 0.0929, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1947, root_relative_squared_error: 0.4311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9551, f_measure: 0.9651, kappa: 0.9144, kb_relative_information_score: 0.9076, mean_absolute_error: 0.0348, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9651, predictive_accuracy: 0.9652, prior_entropy: 0.863, recall: 0.9652, relative_absolute_error: 0.0852, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1865, root_relative_squared_error: 0.4129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.952, f_measure: 0.9616, kappa: 0.9058, kb_relative_information_score: 0.898, mean_absolute_error: 0.0384, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9615, predictive_accuracy: 0.9616, prior_entropy: 0.863, recall: 0.9616, relative_absolute_error: 0.0941, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1959, root_relative_squared_error: 0.4337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9134, f_measure: 0.9193, kappa: 0.8051, kb_relative_information_score: 0.783, mean_absolute_error: 0.0817, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9217, predictive_accuracy: 0.9183, prior_entropy: 0.863, recall: 0.9183, relative_absolute_error: 0.2001, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2858, root_relative_squared_error: 0.6327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9293, f_measure: 0.9405, kappa: 0.8545, kb_relative_information_score: 0.8414, mean_absolute_error: 0.0597, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9406, predictive_accuracy: 0.9403, prior_entropy: 0.863, recall: 0.9403, relative_absolute_error: 0.1463, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2443, root_relative_squared_error: 0.5408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9513, f_measure: 0.9613, kappa: 0.9051, kb_relative_information_score: 0.8974, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9613, predictive_accuracy: 0.9614, prior_entropy: 0.863, recall: 0.9614, relative_absolute_error: 0.0946, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1965, root_relative_squared_error: 0.4351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.9247, kappa: 0.8166, kb_relative_information_score: 0.7986, mean_absolute_error: 0.0758, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9254, predictive_accuracy: 0.9242, prior_entropy: 0.863, recall: 0.9242, relative_absolute_error: 0.1857, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2753, root_relative_squared_error: 0.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9547, f_measure: 0.9647, kappa: 0.9133, kb_relative_information_score: 0.9064, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9647, predictive_accuracy: 0.9648, prior_entropy: 0.863, recall: 0.9648, relative_absolute_error: 0.0863, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1877, root_relative_squared_error: 0.4155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9531, f_measure: 0.9643, kappa: 0.9122, kb_relative_information_score: 0.9054, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9643, predictive_accuracy: 0.9644, prior_entropy: 0.863, recall: 0.9644, relative_absolute_error: 0.0872, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.4177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.785, f_measure: 0.7789, kappa: 0.5018, kb_relative_information_score: 0.3863, mean_absolute_error: 0.231, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.814, predictive_accuracy: 0.769, prior_entropy: 0.863, recall: 0.769, relative_absolute_error: 0.566, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4806, root_relative_squared_error: 1.0639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9492, f_measure: 0.9607, kappa: 0.9034, kb_relative_information_score: 0.8958, mean_absolute_error: 0.0392, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9606, predictive_accuracy: 0.9608, prior_entropy: 0.863, recall: 0.9608, relative_absolute_error: 0.0961, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.198, root_relative_squared_error: 0.4383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9508, f_measure: 0.9625, kappa: 0.9077, kb_relative_information_score: 0.9006, mean_absolute_error: 0.0374, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9624, predictive_accuracy: 0.9626, prior_entropy: 0.863, recall: 0.9626, relative_absolute_error: 0.0916, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1934, root_relative_squared_error: 0.4281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9505, f_measure: 0.9615, kappa: 0.9054, kb_relative_information_score: 0.8979, mean_absolute_error: 0.0384, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9614, predictive_accuracy: 0.9616, prior_entropy: 0.863, recall: 0.9616, relative_absolute_error: 0.0941, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.196, root_relative_squared_error: 0.4339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9534, f_measure: 0.9636, kappa: 0.9107, kb_relative_information_score: 0.9036, mean_absolute_error: 0.0363, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9636, predictive_accuracy: 0.9637, prior_entropy: 0.863, recall: 0.9637, relative_absolute_error: 0.0889, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1905, root_relative_squared_error: 0.4218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, f_measure: 0.965, kappa: 0.9139, kb_relative_information_score: 0.9072, mean_absolute_error: 0.0349, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9649, predictive_accuracy: 0.9651, prior_entropy: 0.863, recall: 0.9651, relative_absolute_error: 0.0856, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1869, root_relative_squared_error: 0.4138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9498, f_measure: 0.96, kappa: 0.9018, kb_relative_information_score: 0.8938, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9599, predictive_accuracy: 0.96, prior_entropy: 0.863, recall: 0.96, relative_absolute_error: 0.098, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2, root_relative_squared_error: 0.4427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9302, f_measure: 0.9374, kappa: 0.8478, kb_relative_information_score: 0.8325, mean_absolute_error: 0.063, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9383, predictive_accuracy: 0.937, prior_entropy: 0.863, recall: 0.937, relative_absolute_error: 0.1545, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2511, root_relative_squared_error: 0.5559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9422, f_measure: 0.9515, kappa: 0.8815, kb_relative_information_score: 0.871, mean_absolute_error: 0.0485, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9516, predictive_accuracy: 0.9515, prior_entropy: 0.863, recall: 0.9515, relative_absolute_error: 0.1189, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2203, root_relative_squared_error: 0.4878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9551, f_measure: 0.9654, kappa: 0.915, kb_relative_information_score: 0.9083, mean_absolute_error: 0.0345, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9654, predictive_accuracy: 0.9655, prior_entropy: 0.863, recall: 0.9655, relative_absolute_error: 0.0845, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1857, root_relative_squared_error: 0.4112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9452, f_measure: 0.9501, kappa: 0.8786, kb_relative_information_score: 0.8666, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9508, predictive_accuracy: 0.9498, prior_entropy: 0.863, recall: 0.9498, relative_absolute_error: 0.1231, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2241, root_relative_squared_error: 0.4961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9397, f_measure: 0.9516, kappa: 0.8812, kb_relative_information_score: 0.8715, mean_absolute_error: 0.0484, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9515, predictive_accuracy: 0.9516, prior_entropy: 0.863, recall: 0.9516, relative_absolute_error: 0.1185, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2199, root_relative_squared_error: 0.4869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.9638, kappa: 0.9111, kb_relative_information_score: 0.904, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9638, predictive_accuracy: 0.9639, prior_entropy: 0.863, recall: 0.9639, relative_absolute_error: 0.0885, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1901, root_relative_squared_error: 0.4208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.9642, kappa: 0.9122, kb_relative_information_score: 0.9052, mean_absolute_error: 0.0357, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9642, predictive_accuracy: 0.9643, prior_entropy: 0.863, recall: 0.9643, relative_absolute_error: 0.0875, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1889, root_relative_squared_error: 0.4182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9488, f_measure: 0.9585, kappa: 0.8983, kb_relative_information_score: 0.8898, mean_absolute_error: 0.0415, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9585, predictive_accuracy: 0.9585, prior_entropy: 0.863, recall: 0.9585, relative_absolute_error: 0.1017, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2037, root_relative_squared_error: 0.4509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9365, f_measure: 0.9502, kappa: 0.8778, kb_relative_information_score: 0.8682, mean_absolute_error: 0.0496, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9502, predictive_accuracy: 0.9504, prior_entropy: 0.863, recall: 0.9504, relative_absolute_error: 0.1216, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2227, root_relative_squared_error: 0.4931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9472, f_measure: 0.9562, kappa: 0.8927, kb_relative_information_score: 0.8834, mean_absolute_error: 0.0439, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9562, predictive_accuracy: 0.9561, prior_entropy: 0.863, recall: 0.9561, relative_absolute_error: 0.1075, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2095, root_relative_squared_error: 0.4637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9546, f_measure: 0.9648, kappa: 0.9135, kb_relative_information_score: 0.9066, mean_absolute_error: 0.0351, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9647, predictive_accuracy: 0.9649, prior_entropy: 0.863, recall: 0.9649, relative_absolute_error: 0.0861, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1874, root_relative_squared_error: 0.415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, f_measure: 0.9563, kappa: 0.8922, kb_relative_information_score: 0.8848, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9565, predictive_accuracy: 0.9567, prior_entropy: 0.863, recall: 0.9567, relative_absolute_error: 0.1062, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2082, root_relative_squared_error: 0.4609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9494, f_measure: 0.9594, kappa: 0.9004, kb_relative_information_score: 0.8921, mean_absolute_error: 0.0406, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9593, predictive_accuracy: 0.9594, prior_entropy: 0.863, recall: 0.9594, relative_absolute_error: 0.0995, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2015, root_relative_squared_error: 0.446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.938, f_measure: 0.943, kappa: 0.8614, kb_relative_information_score: 0.8472, mean_absolute_error: 0.0575, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.944, predictive_accuracy: 0.9425, prior_entropy: 0.863, recall: 0.9425, relative_absolute_error: 0.1409, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2398, root_relative_squared_error: 0.5309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9494, f_measure: 0.9604, kappa: 0.9027, kb_relative_information_score: 0.895, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9603, predictive_accuracy: 0.9605, prior_entropy: 0.863, recall: 0.9605, relative_absolute_error: 0.0968, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1988, root_relative_squared_error: 0.4401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9501, f_measure: 0.9612, kappa: 0.9046, kb_relative_information_score: 0.8971, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9611, predictive_accuracy: 0.9613, prior_entropy: 0.863, recall: 0.9613, relative_absolute_error: 0.0949, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1968, root_relative_squared_error: 0.4357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9534, f_measure: 0.9639, kappa: 0.9113, kb_relative_information_score: 0.9042, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9638, predictive_accuracy: 0.964, prior_entropy: 0.863, recall: 0.964, relative_absolute_error: 0.0883, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1898, root_relative_squared_error: 0.4203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9488, f_measure: 0.9604, kappa: 0.9027, kb_relative_information_score: 0.8952, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9604, predictive_accuracy: 0.9605, prior_entropy: 0.863, recall: 0.9605, relative_absolute_error: 0.0967, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1986, root_relative_squared_error: 0.4398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9521, f_measure: 0.9625, kappa: 0.9078, kb_relative_information_score: 0.9005, mean_absolute_error: 0.0375, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9624, predictive_accuracy: 0.9625, prior_entropy: 0.863, recall: 0.9625, relative_absolute_error: 0.0918, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1935, root_relative_squared_error: 0.4285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9698, kappa: 0.926, kb_relative_information_score: 0.8856, mean_absolute_error: 0.0485, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9698, predictive_accuracy: 0.9699, prior_entropy: 0.863, recall: 0.9699, relative_absolute_error: 0.1187, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1512, root_relative_squared_error: 0.3347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9698, kappa: 0.926, kb_relative_information_score: 0.8856, mean_absolute_error: 0.0485, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9698, predictive_accuracy: 0.9699, prior_entropy: 0.863, recall: 0.9699, relative_absolute_error: 0.1187, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1512, root_relative_squared_error: 0.3347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9698, kappa: 0.926, kb_relative_information_score: 0.8856, mean_absolute_error: 0.0485, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9698, predictive_accuracy: 0.9699, prior_entropy: 0.863, recall: 0.9699, relative_absolute_error: 0.1187, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1512, root_relative_squared_error: 0.3347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9698, kappa: 0.926, kb_relative_information_score: 0.8856, mean_absolute_error: 0.0485, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9698, predictive_accuracy: 0.9699, prior_entropy: 0.863, recall: 0.9699, relative_absolute_error: 0.1187, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1512, root_relative_squared_error: 0.3347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9698, kappa: 0.926, kb_relative_information_score: 0.8856, mean_absolute_error: 0.0485, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9698, predictive_accuracy: 0.9699, prior_entropy: 0.863, recall: 0.9699, relative_absolute_error: 0.1187, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1512, root_relative_squared_error: 0.3347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9698, kappa: 0.926, kb_relative_information_score: 0.8856, mean_absolute_error: 0.0485, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9698, predictive_accuracy: 0.9699, prior_entropy: 0.863, recall: 0.9699, relative_absolute_error: 0.1187, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1512, root_relative_squared_error: 0.3347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9408, f_measure: 0.9511, kappa: 0.8803, kb_relative_information_score: 0.87, mean_absolute_error: 0.0489, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9512, predictive_accuracy: 0.9511, prior_entropy: 0.863, recall: 0.9511, relative_absolute_error: 0.1199, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2212, root_relative_squared_error: 0.4896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8314, f_measure: 0.8349, kappa: 0.6136, kb_relative_information_score: 0.5475, mean_absolute_error: 0.1703, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8501, predictive_accuracy: 0.8297, prior_entropy: 0.863, recall: 0.8297, relative_absolute_error: 0.4174, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4127, root_relative_squared_error: 0.9136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9502, f_measure: 0.9616, kappa: 0.9057, kb_relative_information_score: 0.8984, mean_absolute_error: 0.0382, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9616, predictive_accuracy: 0.9618, prior_entropy: 0.863, recall: 0.9618, relative_absolute_error: 0.0937, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1956, root_relative_squared_error: 0.4329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9534, f_measure: 0.964, kappa: 0.9115, kb_relative_information_score: 0.9046, mean_absolute_error: 0.0359, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9639, predictive_accuracy: 0.9641, prior_entropy: 0.863, recall: 0.9641, relative_absolute_error: 0.088, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1895, root_relative_squared_error: 0.4196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9547, f_measure: 0.9649, kappa: 0.9137, kb_relative_information_score: 0.9069, mean_absolute_error: 0.0351, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9648, predictive_accuracy: 0.9649, prior_entropy: 0.863, recall: 0.9649, relative_absolute_error: 0.0859, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1872, root_relative_squared_error: 0.4145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9499, f_measure: 0.96, kappa: 0.9018, kb_relative_information_score: 0.8938, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9599, predictive_accuracy: 0.96, prior_entropy: 0.863, recall: 0.96, relative_absolute_error: 0.098, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2, root_relative_squared_error: 0.4427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8867, f_measure: 0.8966, kappa: 0.7506, kb_relative_information_score: 0.7215, mean_absolute_error: 0.1048, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8997, predictive_accuracy: 0.8952, prior_entropy: 0.863, recall: 0.8952, relative_absolute_error: 0.2569, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3238, root_relative_squared_error: 0.7168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9527, f_measure: 0.9633, kappa: 0.91, kb_relative_information_score: 0.9029, mean_absolute_error: 0.0366, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9633, predictive_accuracy: 0.9634, prior_entropy: 0.863, recall: 0.9634, relative_absolute_error: 0.0896, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1912, root_relative_squared_error: 0.4233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9412, f_measure: 0.9515, kappa: 0.8812, kb_relative_information_score: 0.871, mean_absolute_error: 0.0485, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9515, predictive_accuracy: 0.9515, prior_entropy: 0.863, recall: 0.9515, relative_absolute_error: 0.1189, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2203, root_relative_squared_error: 0.4878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9524, f_measure: 0.9617, kappa: 0.9061, kb_relative_information_score: 0.8983, mean_absolute_error: 0.0383, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9617, predictive_accuracy: 0.9617, prior_entropy: 0.863, recall: 0.9617, relative_absolute_error: 0.0938, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1956, root_relative_squared_error: 0.4331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9533, f_measure: 0.9639, kappa: 0.9113, kb_relative_information_score: 0.9043, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9639, predictive_accuracy: 0.964, prior_entropy: 0.863, recall: 0.964, relative_absolute_error: 0.0882, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1898, root_relative_squared_error: 0.4201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8619, f_measure: 0.8652, kappa: 0.6811, kb_relative_information_score: 0.6326, mean_absolute_error: 0.1383, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8752, predictive_accuracy: 0.8617, prior_entropy: 0.863, recall: 0.8617, relative_absolute_error: 0.3389, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3719, root_relative_squared_error: 0.8232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9462, f_measure: 0.9576, kappa: 0.896, kb_relative_information_score: 0.8877, mean_absolute_error: 0.0423, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9576, predictive_accuracy: 0.9577, prior_entropy: 0.863, recall: 0.9577, relative_absolute_error: 0.1036, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2056, root_relative_squared_error: 0.4552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8842, f_measure: 0.8897, kappa: 0.736, kb_relative_information_score: 0.7012, mean_absolute_error: 0.1125, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8952, predictive_accuracy: 0.8875, prior_entropy: 0.863, recall: 0.8875, relative_absolute_error: 0.2756, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3354, root_relative_squared_error: 0.7424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9036, f_measure: 0.9081, kappa: 0.7791, kb_relative_information_score: 0.7518, mean_absolute_error: 0.0934, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9119, predictive_accuracy: 0.9066, prior_entropy: 0.863, recall: 0.9066, relative_absolute_error: 0.2289, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3056, root_relative_squared_error: 0.6766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9498, f_measure: 0.9616, kappa: 0.9056, kb_relative_information_score: 0.8983, mean_absolute_error: 0.0383, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9616, predictive_accuracy: 0.9617, prior_entropy: 0.863, recall: 0.9617, relative_absolute_error: 0.0938, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1956, root_relative_squared_error: 0.4331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9359, f_measure: 0.9466, kappa: 0.8693, kb_relative_information_score: 0.8578, mean_absolute_error: 0.0535, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9467, predictive_accuracy: 0.9465, prior_entropy: 0.863, recall: 0.9465, relative_absolute_error: 0.1311, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2313, root_relative_squared_error: 0.5121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9266, f_measure: 0.9337, kappa: 0.839, kb_relative_information_score: 0.8225, mean_absolute_error: 0.0668, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9348, predictive_accuracy: 0.9332, prior_entropy: 0.863, recall: 0.9332, relative_absolute_error: 0.1637, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2585, root_relative_squared_error: 0.5723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9502, f_measure: 0.9595, kappa: 0.9008, kb_relative_information_score: 0.8925, mean_absolute_error: 0.0405, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9595, predictive_accuracy: 0.9595, prior_entropy: 0.863, recall: 0.9595, relative_absolute_error: 0.0992, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2012, root_relative_squared_error: 0.4454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9168, f_measure: 0.9287, kappa: 0.8261, kb_relative_information_score: 0.8097, mean_absolute_error: 0.0716, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9292, predictive_accuracy: 0.9284, prior_entropy: 0.863, recall: 0.9284, relative_absolute_error: 0.1755, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2676, root_relative_squared_error: 0.5924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9524, f_measure: 0.9629, kappa: 0.909, kb_relative_information_score: 0.9018, mean_absolute_error: 0.037, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9629, predictive_accuracy: 0.963, prior_entropy: 0.863, recall: 0.963, relative_absolute_error: 0.0906, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.4256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9499, f_measure: 0.9593, kappa: 0.9003, kb_relative_information_score: 0.8919, mean_absolute_error: 0.0407, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9593, predictive_accuracy: 0.9593, prior_entropy: 0.863, recall: 0.9593, relative_absolute_error: 0.0997, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2017, root_relative_squared_error: 0.4465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9176, f_measure: 0.9271, kappa: 0.8227, kb_relative_information_score: 0.8048, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9281, predictive_accuracy: 0.9265, prior_entropy: 0.863, recall: 0.9265, relative_absolute_error: 0.18, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.271, root_relative_squared_error: 0.6,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8885, f_measure: 0.8925, kappa: 0.7431, kb_relative_information_score: 0.7087, mean_absolute_error: 0.1096, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8983, predictive_accuracy: 0.8904, prior_entropy: 0.863, recall: 0.8904, relative_absolute_error: 0.2687, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3311, root_relative_squared_error: 0.7331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.9642, kappa: 0.9122, kb_relative_information_score: 0.9052, mean_absolute_error: 0.0357, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9642, predictive_accuracy: 0.9643, prior_entropy: 0.863, recall: 0.9643, relative_absolute_error: 0.0875, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1889, root_relative_squared_error: 0.4182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9744, kappa: 0.9372, kb_relative_information_score: 0.912, mean_absolute_error: 0.0362, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9744, predictive_accuracy: 0.9744, prior_entropy: 0.863, recall: 0.9744, relative_absolute_error: 0.0887, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1406, root_relative_squared_error: 0.3112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9723, kappa: 0.9322, kb_relative_information_score: 0.9132, mean_absolute_error: 0.0348, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9723, predictive_accuracy: 0.9724, prior_entropy: 0.863, recall: 0.9724, relative_absolute_error: 0.0854, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1461, root_relative_squared_error: 0.3235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9731, kappa: 0.9339, kb_relative_information_score: 0.9088, mean_absolute_error: 0.0378, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.973, predictive_accuracy: 0.9731, prior_entropy: 0.863, recall: 0.9731, relative_absolute_error: 0.0925, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1414, root_relative_squared_error: 0.313,

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

OpenML APIs