Task
Supervised Classification on analcatdata_authorship

Supervised Classification on analcatdata_authorship

Task 3549 Supervised Classification analcatdata_authorship 16301 runs submitted
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  • OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_50 study_7 study_98 study_99 under100k under1m
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16301 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 830.1296, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9953, predictive_accuracy: 0.9952, prior_entropy: 1.7898, recall: 0.9952, relative_absolute_error: 0.016, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0486, root_relative_squared_error: 0.1173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9699, f_measure: 0.9474, kappa: 0.9238, kb_relative_information_score: 769.7141, mean_absolute_error: 0.0304, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9476, predictive_accuracy: 0.9477, prior_entropy: 1.7898, recall: 0.9477, relative_absolute_error: 0.0885, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1583, root_relative_squared_error: 0.3819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.9002, kappa: 0.8549, kb_relative_information_score: 719.9019, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9011, predictive_accuracy: 0.9001, prior_entropy: 1.7898, recall: 0.9001, relative_absolute_error: 0.1626, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1875, root_relative_squared_error: 0.4522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9635, f_measure: 0.9236, kappa: 0.8891, kb_relative_information_score: 742.1379, mean_absolute_error: 0.0432, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9238, predictive_accuracy: 0.9239, prior_entropy: 1.7898, recall: 0.9239, relative_absolute_error: 0.1255, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1836, root_relative_squared_error: 0.4429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9671, f_measure: 0.9427, kappa: 0.9168, kb_relative_information_score: 765.9427, mean_absolute_error: 0.0314, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9427, predictive_accuracy: 0.9429, prior_entropy: 1.7898, recall: 0.9429, relative_absolute_error: 0.0912, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.164, root_relative_squared_error: 0.3957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.968, f_measure: 0.9404, kappa: 0.9133, kb_relative_information_score: 765.8527, mean_absolute_error: 0.0316, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9403, predictive_accuracy: 0.9405, prior_entropy: 1.7898, recall: 0.9405, relative_absolute_error: 0.0919, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1645, root_relative_squared_error: 0.3967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9697, f_measure: 0.9118, kappa: 0.8718, kb_relative_information_score: 727.6039, mean_absolute_error: 0.053, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.912, predictive_accuracy: 0.912, prior_entropy: 1.7898, recall: 0.912, relative_absolute_error: 0.1542, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1896, root_relative_squared_error: 0.4574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.9307, kappa: 0.8994, kb_relative_information_score: 748.822, mean_absolute_error: 0.0419, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9313, predictive_accuracy: 0.931, prior_entropy: 1.7898, recall: 0.931, relative_absolute_error: 0.1219, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1686, root_relative_squared_error: 0.4067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.9119, kappa: 0.872, kb_relative_information_score: 724.6128, mean_absolute_error: 0.0541, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9119, predictive_accuracy: 0.912, prior_entropy: 1.7898, recall: 0.912, relative_absolute_error: 0.1574, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1774, root_relative_squared_error: 0.4279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9699, f_measure: 0.9366, kappa: 0.908, kb_relative_information_score: 762.336, mean_absolute_error: 0.032, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9368, predictive_accuracy: 0.937, prior_entropy: 1.7898, recall: 0.937, relative_absolute_error: 0.093, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1631, root_relative_squared_error: 0.3933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.918, kappa: 0.8808, kb_relative_information_score: 731.2319, mean_absolute_error: 0.0513, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9181, predictive_accuracy: 0.918, prior_entropy: 1.7898, recall: 0.918, relative_absolute_error: 0.1492, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1729, root_relative_squared_error: 0.417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.9206, kappa: 0.8843, kb_relative_information_score: 738.2419, mean_absolute_error: 0.0474, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9211, predictive_accuracy: 0.9203, prior_entropy: 1.7898, recall: 0.9203, relative_absolute_error: 0.1378, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.173, root_relative_squared_error: 0.4172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9589, f_measure: 0.9092, kappa: 0.8681, kb_relative_information_score: 730.2871, mean_absolute_error: 0.0483, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9092, predictive_accuracy: 0.9096, prior_entropy: 1.7898, recall: 0.9096, relative_absolute_error: 0.1405, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.4669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, f_measure: 0.8907, kappa: 0.8412, kb_relative_information_score: 705.0642, mean_absolute_error: 0.0621, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8916, predictive_accuracy: 0.8906, prior_entropy: 1.7898, recall: 0.8906, relative_absolute_error: 0.1807, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1956, root_relative_squared_error: 0.4718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9217, kappa: 0.886, kb_relative_information_score: 737.4261, mean_absolute_error: 0.0483, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9221, predictive_accuracy: 0.9215, prior_entropy: 1.7898, recall: 0.9215, relative_absolute_error: 0.1406, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1701, root_relative_squared_error: 0.4103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9682, f_measure: 0.9487, kappa: 0.9255, kb_relative_information_score: 767.6312, mean_absolute_error: 0.0315, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9487, predictive_accuracy: 0.9489, prior_entropy: 1.7898, recall: 0.9489, relative_absolute_error: 0.0917, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.161, root_relative_squared_error: 0.3885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.8999, kappa: 0.8545, kb_relative_information_score: 725.2518, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9007, predictive_accuracy: 0.9001, prior_entropy: 1.7898, recall: 0.9001, relative_absolute_error: 0.1539, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.182, root_relative_squared_error: 0.439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9579, f_measure: 0.9272, kappa: 0.8943, kb_relative_information_score: 744.0861, mean_absolute_error: 0.0413, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9272, predictive_accuracy: 0.9275, prior_entropy: 1.7898, recall: 0.9275, relative_absolute_error: 0.1201, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1864, root_relative_squared_error: 0.4497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9643, f_measure: 0.9053, kappa: 0.8629, kb_relative_information_score: 716.696, mean_absolute_error: 0.057, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9061, predictive_accuracy: 0.9061, prior_entropy: 1.7898, recall: 0.9061, relative_absolute_error: 0.1657, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1974, root_relative_squared_error: 0.4761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.9377, kappa: 0.9097, kb_relative_information_score: 763.0659, mean_absolute_error: 0.0353, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9381, predictive_accuracy: 0.9382, prior_entropy: 1.7898, recall: 0.9382, relative_absolute_error: 0.1025, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.159, root_relative_squared_error: 0.3835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9107, kappa: 0.8701, kb_relative_information_score: 716.3016, mean_absolute_error: 0.0575, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9113, predictive_accuracy: 0.9108, prior_entropy: 1.7898, recall: 0.9108, relative_absolute_error: 0.1673, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1825, root_relative_squared_error: 0.4401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9318, kappa: 0.9011, kb_relative_information_score: 755.8874, mean_absolute_error: 0.0392, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9321, predictive_accuracy: 0.9322, prior_entropy: 1.7898, recall: 0.9322, relative_absolute_error: 0.1139, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1649, root_relative_squared_error: 0.3979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.9365, kappa: 0.908, kb_relative_information_score: 761.6437, mean_absolute_error: 0.0355, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9367, predictive_accuracy: 0.937, prior_entropy: 1.7898, recall: 0.937, relative_absolute_error: 0.1032, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1609, root_relative_squared_error: 0.3882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, f_measure: 0.8907, kappa: 0.8412, kb_relative_information_score: 704.184, mean_absolute_error: 0.0626, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8916, predictive_accuracy: 0.8906, prior_entropy: 1.7898, recall: 0.8906, relative_absolute_error: 0.182, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1961, root_relative_squared_error: 0.473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.9415, kappa: 0.9151, kb_relative_information_score: 765.5688, mean_absolute_error: 0.0338, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9415, predictive_accuracy: 0.9417, prior_entropy: 1.7898, recall: 0.9417, relative_absolute_error: 0.0982, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1576, root_relative_squared_error: 0.3803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.9216, kappa: 0.886, kb_relative_information_score: 736.0817, mean_absolute_error: 0.0492, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.922, predictive_accuracy: 0.9215, prior_entropy: 1.7898, recall: 0.9215, relative_absolute_error: 0.1431, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1727, root_relative_squared_error: 0.4165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.8872, kappa: 0.836, kb_relative_information_score: 704.9167, mean_absolute_error: 0.0627, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8882, predictive_accuracy: 0.887, prior_entropy: 1.7898, recall: 0.887, relative_absolute_error: 0.1824, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.196, root_relative_squared_error: 0.4728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9682, f_measure: 0.9499, kappa: 0.9272, kb_relative_information_score: 781.6278, mean_absolute_error: 0.0244, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9501, predictive_accuracy: 0.9501, prior_entropy: 1.7898, recall: 0.9501, relative_absolute_error: 0.0709, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1513, root_relative_squared_error: 0.3649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9557, f_measure: 0.932, kappa: 0.9011, kb_relative_information_score: 758.8355, mean_absolute_error: 0.0347, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9323, predictive_accuracy: 0.9322, prior_entropy: 1.7898, recall: 0.9322, relative_absolute_error: 0.101, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1809, root_relative_squared_error: 0.4365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9633, f_measure: 0.9285, kappa: 0.8959, kb_relative_information_score: 756.1693, mean_absolute_error: 0.0366, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9288, predictive_accuracy: 0.9287, prior_entropy: 1.7898, recall: 0.9287, relative_absolute_error: 0.1065, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1772, root_relative_squared_error: 0.4274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9194, kappa: 0.8826, kb_relative_information_score: 735.8595, mean_absolute_error: 0.0492, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9199, predictive_accuracy: 0.9191, prior_entropy: 1.7898, recall: 0.9191, relative_absolute_error: 0.143, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1694, root_relative_squared_error: 0.4086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9791, f_measure: 0.9024, kappa: 0.8581, kb_relative_information_score: 724.2572, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.903, predictive_accuracy: 0.9025, prior_entropy: 1.7898, recall: 0.9025, relative_absolute_error: 0.1564, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1826, root_relative_squared_error: 0.4404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.9439, kappa: 0.9185, kb_relative_information_score: 768.8748, mean_absolute_error: 0.032, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9439, predictive_accuracy: 0.9441, prior_entropy: 1.7898, recall: 0.9441, relative_absolute_error: 0.0931, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1533, root_relative_squared_error: 0.3699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.9217, kappa: 0.886, kb_relative_information_score: 738.1566, mean_absolute_error: 0.0478, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9221, predictive_accuracy: 0.9215, prior_entropy: 1.7898, recall: 0.9215, relative_absolute_error: 0.1391, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1698, root_relative_squared_error: 0.4096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.9217, kappa: 0.886, kb_relative_information_score: 736.1121, mean_absolute_error: 0.0492, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9221, predictive_accuracy: 0.9215, prior_entropy: 1.7898, recall: 0.9215, relative_absolute_error: 0.143, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1709, root_relative_squared_error: 0.4121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9721, f_measure: 0.8907, kappa: 0.8412, kb_relative_information_score: 703.4618, mean_absolute_error: 0.0634, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8916, predictive_accuracy: 0.8906, prior_entropy: 1.7898, recall: 0.8906, relative_absolute_error: 0.1843, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.197, root_relative_squared_error: 0.4753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.8975, kappa: 0.8513, kb_relative_information_score: 715.5663, mean_absolute_error: 0.057, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8989, predictive_accuracy: 0.8977, prior_entropy: 1.7898, recall: 0.8977, relative_absolute_error: 0.1657, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.19, root_relative_squared_error: 0.4583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9704, f_measure: 0.9523, kappa: 0.9308, kb_relative_information_score: 782.765, mean_absolute_error: 0.0246, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9525, predictive_accuracy: 0.9524, prior_entropy: 1.7898, recall: 0.9524, relative_absolute_error: 0.0716, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.15, root_relative_squared_error: 0.3618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.9223, kappa: 0.8874, kb_relative_information_score: 745.4292, mean_absolute_error: 0.0443, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9225, predictive_accuracy: 0.9227, prior_entropy: 1.7898, recall: 0.9227, relative_absolute_error: 0.1287, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1709, root_relative_squared_error: 0.4122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9012, kappa: 0.8563, kb_relative_information_score: 724.0301, mean_absolute_error: 0.053, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9019, predictive_accuracy: 0.9013, prior_entropy: 1.7898, recall: 0.9013, relative_absolute_error: 0.1542, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1821, root_relative_squared_error: 0.4391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9735, f_measure: 0.9533, kappa: 0.9324, kb_relative_information_score: 772.0846, mean_absolute_error: 0.0288, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9535, predictive_accuracy: 0.9536, prior_entropy: 1.7898, recall: 0.9536, relative_absolute_error: 0.0838, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1518, root_relative_squared_error: 0.3661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.8986, kappa: 0.8528, kb_relative_information_score: 722.5531, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8995, predictive_accuracy: 0.8989, prior_entropy: 1.7898, recall: 0.8989, relative_absolute_error: 0.1579, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1837, root_relative_squared_error: 0.4431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9778, f_measure: 0.9119, kappa: 0.872, kb_relative_information_score: 725.0463, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9119, predictive_accuracy: 0.912, prior_entropy: 1.7898, recall: 0.912, relative_absolute_error: 0.1564, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1772, root_relative_squared_error: 0.4276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.9206, kappa: 0.8843, kb_relative_information_score: 738.4489, mean_absolute_error: 0.0473, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9211, predictive_accuracy: 0.9203, prior_entropy: 1.7898, recall: 0.9203, relative_absolute_error: 0.1376, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.173, root_relative_squared_error: 0.4174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.9216, kappa: 0.886, kb_relative_information_score: 733.7339, mean_absolute_error: 0.0505, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.922, predictive_accuracy: 0.9215, prior_entropy: 1.7898, recall: 0.9215, relative_absolute_error: 0.1469, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1738, root_relative_squared_error: 0.4193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.8953, kappa: 0.8479, kb_relative_information_score: 716.1206, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8964, predictive_accuracy: 0.8954, prior_entropy: 1.7898, recall: 0.8954, relative_absolute_error: 0.1663, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1903, root_relative_squared_error: 0.4591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, f_measure: 0.8872, kappa: 0.836, kb_relative_information_score: 703.7451, mean_absolute_error: 0.0634, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8882, predictive_accuracy: 0.887, prior_entropy: 1.7898, recall: 0.887, relative_absolute_error: 0.1843, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1971, root_relative_squared_error: 0.4754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.9194, kappa: 0.8826, kb_relative_information_score: 735.4711, mean_absolute_error: 0.0489, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9199, predictive_accuracy: 0.9191, prior_entropy: 1.7898, recall: 0.9191, relative_absolute_error: 0.1422, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1717, root_relative_squared_error: 0.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.9475, kappa: 0.9238, kb_relative_information_score: 767.2403, mean_absolute_error: 0.0333, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9479, predictive_accuracy: 0.9477, prior_entropy: 1.7898, recall: 0.9477, relative_absolute_error: 0.0969, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1535, root_relative_squared_error: 0.3703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9546, f_measure: 0.9226, kappa: 0.8875, kb_relative_information_score: 749.0137, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9226, predictive_accuracy: 0.9227, prior_entropy: 1.7898, recall: 0.9227, relative_absolute_error: 0.1121, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.19, root_relative_squared_error: 0.4583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.9107, kappa: 0.8701, kb_relative_information_score: 715.1661, mean_absolute_error: 0.0582, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9113, predictive_accuracy: 0.9108, prior_entropy: 1.7898, recall: 0.9108, relative_absolute_error: 0.1691, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1836, root_relative_squared_error: 0.4428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9622, f_measure: 0.9285, kappa: 0.8961, kb_relative_information_score: 753.4532, mean_absolute_error: 0.0378, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9287, predictive_accuracy: 0.9287, prior_entropy: 1.7898, recall: 0.9287, relative_absolute_error: 0.1099, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1805, root_relative_squared_error: 0.4353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.899, kappa: 0.8533, kb_relative_information_score: 712.1653, mean_absolute_error: 0.0597, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9, predictive_accuracy: 0.8989, prior_entropy: 1.7898, recall: 0.8989, relative_absolute_error: 0.1737, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1908, root_relative_squared_error: 0.4603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.883, kappa: 0.8302, kb_relative_information_score: 689.8207, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.885, predictive_accuracy: 0.8835, prior_entropy: 1.7898, recall: 0.8835, relative_absolute_error: 0.2018, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2043, root_relative_squared_error: 0.4927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.8975, kappa: 0.8513, kb_relative_information_score: 718.7242, mean_absolute_error: 0.0556, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8989, predictive_accuracy: 0.8977, prior_entropy: 1.7898, recall: 0.8977, relative_absolute_error: 0.1616, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1869, root_relative_squared_error: 0.4509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9217, kappa: 0.886, kb_relative_information_score: 738.5688, mean_absolute_error: 0.0476, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9221, predictive_accuracy: 0.9215, prior_entropy: 1.7898, recall: 0.9215, relative_absolute_error: 0.1384, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1697, root_relative_squared_error: 0.4093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9631, f_measure: 0.9115, kappa: 0.8716, kb_relative_information_score: 722.4678, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9118, predictive_accuracy: 0.912, prior_entropy: 1.7898, recall: 0.912, relative_absolute_error: 0.1548, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1961, root_relative_squared_error: 0.4729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.919, kappa: 0.8824, kb_relative_information_score: 731.8211, mean_absolute_error: 0.0516, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9196, predictive_accuracy: 0.9191, prior_entropy: 1.7898, recall: 0.9191, relative_absolute_error: 0.15, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1761, root_relative_squared_error: 0.4248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.8905, kappa: 0.8411, kb_relative_information_score: 705.9182, mean_absolute_error: 0.0621, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8919, predictive_accuracy: 0.8906, prior_entropy: 1.7898, recall: 0.8906, relative_absolute_error: 0.1806, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1962, root_relative_squared_error: 0.4732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9217, kappa: 0.886, kb_relative_information_score: 736.4854, mean_absolute_error: 0.049, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9221, predictive_accuracy: 0.9215, prior_entropy: 1.7898, recall: 0.9215, relative_absolute_error: 0.1424, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1704, root_relative_squared_error: 0.411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.9318, kappa: 0.9012, kb_relative_information_score: 751.0561, mean_absolute_error: 0.0405, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9319, predictive_accuracy: 0.9322, prior_entropy: 1.7898, recall: 0.9322, relative_absolute_error: 0.1178, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1681, root_relative_squared_error: 0.4056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9757, f_measure: 0.899, kappa: 0.8533, kb_relative_information_score: 713.4534, mean_absolute_error: 0.059, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9, predictive_accuracy: 0.8989, prior_entropy: 1.7898, recall: 0.8989, relative_absolute_error: 0.1716, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1902, root_relative_squared_error: 0.4588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.9002, kappa: 0.8549, kb_relative_information_score: 720.6795, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9011, predictive_accuracy: 0.9001, prior_entropy: 1.7898, recall: 0.9001, relative_absolute_error: 0.1606, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1878, root_relative_squared_error: 0.4531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9592, f_measure: 0.9178, kappa: 0.8806, kb_relative_information_score: 736.8478, mean_absolute_error: 0.0464, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9178, predictive_accuracy: 0.918, prior_entropy: 1.7898, recall: 0.918, relative_absolute_error: 0.135, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.191, root_relative_squared_error: 0.4608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.963, f_measure: 0.9054, kappa: 0.8628, kb_relative_information_score: 728.2034, mean_absolute_error: 0.051, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9061, predictive_accuracy: 0.9061, prior_entropy: 1.7898, recall: 0.9061, relative_absolute_error: 0.1482, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1939, root_relative_squared_error: 0.4677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9761, f_measure: 0.9107, kappa: 0.8701, kb_relative_information_score: 715.2281, mean_absolute_error: 0.0581, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9113, predictive_accuracy: 0.9108, prior_entropy: 1.7898, recall: 0.9108, relative_absolute_error: 0.169, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1832, root_relative_squared_error: 0.4418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.96, f_measure: 0.9177, kappa: 0.8806, kb_relative_information_score: 736.3025, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.918, predictive_accuracy: 0.918, prior_entropy: 1.7898, recall: 0.918, relative_absolute_error: 0.1312, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1912, root_relative_squared_error: 0.4613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9778, f_measure: 0.8999, kappa: 0.8545, kb_relative_information_score: 724.5197, mean_absolute_error: 0.0535, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9007, predictive_accuracy: 0.9001, prior_entropy: 1.7898, recall: 0.9001, relative_absolute_error: 0.1556, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1834, root_relative_squared_error: 0.4425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.8989, kappa: 0.8531, kb_relative_information_score: 720.0521, mean_absolute_error: 0.0562, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9, predictive_accuracy: 0.8989, prior_entropy: 1.7898, recall: 0.8989, relative_absolute_error: 0.1635, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1872, root_relative_squared_error: 0.4515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, f_measure: 0.9451, kappa: 0.9202, kb_relative_information_score: 769.9451, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9452, predictive_accuracy: 0.9453, prior_entropy: 1.7898, recall: 0.9453, relative_absolute_error: 0.0939, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1546, root_relative_squared_error: 0.3729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.9083, kappa: 0.8666, kb_relative_information_score: 714.0907, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9089, predictive_accuracy: 0.9084, prior_entropy: 1.7898, recall: 0.9084, relative_absolute_error: 0.171, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1841, root_relative_squared_error: 0.4442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9587, f_measure: 0.9417, kappa: 0.9152, kb_relative_information_score: 770.2822, mean_absolute_error: 0.0291, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9417, predictive_accuracy: 0.9417, prior_entropy: 1.7898, recall: 0.9417, relative_absolute_error: 0.0847, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1707, root_relative_squared_error: 0.4117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.932, kappa: 0.9013, kb_relative_information_score: 755.9391, mean_absolute_error: 0.0389, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9323, predictive_accuracy: 0.9322, prior_entropy: 1.7898, recall: 0.9322, relative_absolute_error: 0.1132, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1626, root_relative_squared_error: 0.3923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.9475, kappa: 0.9237, kb_relative_information_score: 773.7171, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9476, predictive_accuracy: 0.9477, prior_entropy: 1.7898, recall: 0.9477, relative_absolute_error: 0.0832, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1549, root_relative_squared_error: 0.3738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.9227, kappa: 0.8877, kb_relative_information_score: 746.0476, mean_absolute_error: 0.0437, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9232, predictive_accuracy: 0.9227, prior_entropy: 1.7898, recall: 0.9227, relative_absolute_error: 0.1272, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1676, root_relative_squared_error: 0.4042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.9234, kappa: 0.8891, kb_relative_information_score: 748.6617, mean_absolute_error: 0.0423, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9236, predictive_accuracy: 0.9239, prior_entropy: 1.7898, recall: 0.9239, relative_absolute_error: 0.1229, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.169, root_relative_squared_error: 0.4076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.9366, kappa: 0.908, kb_relative_information_score: 761.1748, mean_absolute_error: 0.0364, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9369, predictive_accuracy: 0.937, prior_entropy: 1.7898, recall: 0.937, relative_absolute_error: 0.1057, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1625, root_relative_squared_error: 0.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9755, f_measure: 0.9181, kappa: 0.8808, kb_relative_information_score: 736.5116, mean_absolute_error: 0.0483, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9185, predictive_accuracy: 0.918, prior_entropy: 1.7898, recall: 0.918, relative_absolute_error: 0.1405, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.175, root_relative_squared_error: 0.4222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.9192, kappa: 0.8823, kb_relative_information_score: 743.5286, mean_absolute_error: 0.0445, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9193, predictive_accuracy: 0.9191, prior_entropy: 1.7898, recall: 0.9191, relative_absolute_error: 0.1295, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1851, root_relative_squared_error: 0.4465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.8963, kappa: 0.849, kb_relative_information_score: 722.0031, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8974, predictive_accuracy: 0.8966, prior_entropy: 1.7898, recall: 0.8966, relative_absolute_error: 0.1604, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1912, root_relative_squared_error: 0.4611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.899, kappa: 0.8533, kb_relative_information_score: 714.3755, mean_absolute_error: 0.058, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9, predictive_accuracy: 0.8989, prior_entropy: 1.7898, recall: 0.8989, relative_absolute_error: 0.1686, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1897, root_relative_squared_error: 0.4575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.918, kappa: 0.8808, kb_relative_information_score: 731.2454, mean_absolute_error: 0.0513, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9181, predictive_accuracy: 0.918, prior_entropy: 1.7898, recall: 0.918, relative_absolute_error: 0.1493, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1721, root_relative_squared_error: 0.4152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.8907, kappa: 0.8412, kb_relative_information_score: 703.0848, mean_absolute_error: 0.0635, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8916, predictive_accuracy: 0.8906, prior_entropy: 1.7898, recall: 0.8906, relative_absolute_error: 0.1847, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1967, root_relative_squared_error: 0.4744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.9194, kappa: 0.8826, kb_relative_information_score: 736.9981, mean_absolute_error: 0.0484, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9199, predictive_accuracy: 0.9191, prior_entropy: 1.7898, recall: 0.9191, relative_absolute_error: 0.1407, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1737, root_relative_squared_error: 0.419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9642, f_measure: 0.9055, kappa: 0.863, kb_relative_information_score: 720.2478, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9056, predictive_accuracy: 0.9061, prior_entropy: 1.7898, recall: 0.9061, relative_absolute_error: 0.1583, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1988, root_relative_squared_error: 0.4796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9755, f_measure: 0.8809, kappa: 0.8269, kb_relative_information_score: 694.952, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8818, predictive_accuracy: 0.8811, prior_entropy: 1.7898, recall: 0.8811, relative_absolute_error: 0.1957, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2, root_relative_squared_error: 0.4824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9652, f_measure: 0.9104, kappa: 0.8699, kb_relative_information_score: 724.1399, mean_absolute_error: 0.053, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9107, predictive_accuracy: 0.9108, prior_entropy: 1.7898, recall: 0.9108, relative_absolute_error: 0.1541, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1947, root_relative_squared_error: 0.4696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.9261, kappa: 0.8927, kb_relative_information_score: 746.6782, mean_absolute_error: 0.0437, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9266, predictive_accuracy: 0.9263, prior_entropy: 1.7898, recall: 0.9263, relative_absolute_error: 0.1272, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.168, root_relative_squared_error: 0.4053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9566, f_measure: 0.9238, kappa: 0.8891, kb_relative_information_score: 752.7455, mean_absolute_error: 0.0381, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.924, predictive_accuracy: 0.9239, prior_entropy: 1.7898, recall: 0.9239, relative_absolute_error: 0.1108, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1856, root_relative_squared_error: 0.4476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.9194, kappa: 0.8826, kb_relative_information_score: 735.8748, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9199, predictive_accuracy: 0.9191, prior_entropy: 1.7898, recall: 0.9191, relative_absolute_error: 0.1419, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1708, root_relative_squared_error: 0.412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9427, kappa: 0.9167, kb_relative_information_score: 768.2135, mean_absolute_error: 0.032, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.943, predictive_accuracy: 0.9429, prior_entropy: 1.7898, recall: 0.9429, relative_absolute_error: 0.0931, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1558, root_relative_squared_error: 0.3758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.9183, kappa: 0.8809, kb_relative_information_score: 736.4649, mean_absolute_error: 0.0482, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9188, predictive_accuracy: 0.918, prior_entropy: 1.7898, recall: 0.918, relative_absolute_error: 0.1402, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1749, root_relative_squared_error: 0.4219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, f_measure: 0.8907, kappa: 0.8412, kb_relative_information_score: 703.3665, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8916, predictive_accuracy: 0.8906, prior_entropy: 1.7898, recall: 0.8906, relative_absolute_error: 0.1839, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1965, root_relative_squared_error: 0.474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.9119, kappa: 0.872, kb_relative_information_score: 727.3949, mean_absolute_error: 0.0525, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9119, predictive_accuracy: 0.912, prior_entropy: 1.7898, recall: 0.912, relative_absolute_error: 0.1527, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.4217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.9331, kappa: 0.9029, kb_relative_information_score: 758.7431, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9333, predictive_accuracy: 0.9334, prior_entropy: 1.7898, recall: 0.9334, relative_absolute_error: 0.1081, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1617, root_relative_squared_error: 0.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.945, kappa: 0.9202, kb_relative_information_score: 769.912, mean_absolute_error: 0.0314, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9451, predictive_accuracy: 0.9453, prior_entropy: 1.7898, recall: 0.9453, relative_absolute_error: 0.0912, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.154, root_relative_squared_error: 0.3715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, f_measure: 0.9216, kappa: 0.886, kb_relative_information_score: 746.2169, mean_absolute_error: 0.0434, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.922, predictive_accuracy: 0.9215, prior_entropy: 1.7898, recall: 0.9215, relative_absolute_error: 0.1263, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1682, root_relative_squared_error: 0.4057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.9511, kappa: 0.929, kb_relative_information_score: 775.0147, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9512, predictive_accuracy: 0.9512, prior_entropy: 1.7898, recall: 0.9512, relative_absolute_error: 0.0832, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1516, root_relative_squared_error: 0.3658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9637, f_measure: 0.9141, kappa: 0.8751, kb_relative_information_score: 730.9649, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9143, predictive_accuracy: 0.9144, prior_entropy: 1.7898, recall: 0.9144, relative_absolute_error: 0.1454, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1915, root_relative_squared_error: 0.462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9761, f_measure: 0.8881, kappa: 0.8375, kb_relative_information_score: 702.5704, mean_absolute_error: 0.0646, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8893, predictive_accuracy: 0.8882, prior_entropy: 1.7898, recall: 0.8882, relative_absolute_error: 0.1879, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1956, root_relative_squared_error: 0.4719,

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

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

OpenML APIs