OpenML
Supervised Classification on nomao

Supervised Classification on nomao

Task 9977 Supervised Classification nomao 32444 runs submitted
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  • OpenML-CC18 OpenML100 study_123 study_14 study_218 study_99
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32444 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9564, kappa: 0.8929, kb_relative_information_score: 10186.1867, mean_absolute_error: 0.3111, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9563, predictive_accuracy: 0.9564, prior_entropy: 0.863, recall: 0.9564, relative_absolute_error: 0.7623, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3276, root_relative_squared_error: 0.7253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9728, kappa: 0.9332, kb_relative_information_score: 30608.98, mean_absolute_error: 0.0495, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9728, predictive_accuracy: 0.9729, prior_entropy: 0.863, recall: 0.9729, relative_absolute_error: 0.1213, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1432, root_relative_squared_error: 0.317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9678, kappa: 0.9209, kb_relative_information_score: 30032.1914, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9677, predictive_accuracy: 0.9678, prior_entropy: 0.863, recall: 0.9678, relative_absolute_error: 0.1333, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1611, root_relative_squared_error: 0.3567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9583, f_measure: 0.8962, kappa: 0.7519, kb_relative_information_score: 22296.4758, mean_absolute_error: 0.1427, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9021, predictive_accuracy: 0.894, prior_entropy: 0.863, recall: 0.894, relative_absolute_error: 0.3497, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2783, root_relative_squared_error: 0.6161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9621, kappa: 0.907, kb_relative_information_score: 29602.5079, mean_absolute_error: 0.06, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9621, predictive_accuracy: 0.962, prior_entropy: 0.863, recall: 0.962, relative_absolute_error: 0.147, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1704, root_relative_squared_error: 0.3773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9545, kappa: 0.8884, kb_relative_information_score: -8026.0066, mean_absolute_error: 0.4522, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9545, predictive_accuracy: 0.9546, prior_entropy: 0.863, recall: 0.9546, relative_absolute_error: 1.1082, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4531, root_relative_squared_error: 1.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9566, kappa: 0.8936, kb_relative_information_score: 29096.5798, mean_absolute_error: 0.0649, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9566, predictive_accuracy: 0.9566, prior_entropy: 0.863, recall: 0.9566, relative_absolute_error: 0.1591, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1796, root_relative_squared_error: 0.3975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9563, kappa: 0.8928, kb_relative_information_score: 28309.0093, mean_absolute_error: 0.0777, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9563, predictive_accuracy: 0.9564, prior_entropy: 0.863, recall: 0.9564, relative_absolute_error: 0.1904, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1888, root_relative_squared_error: 0.4181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.966, kappa: 0.9167, kb_relative_information_score: 29590.5547, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.966, predictive_accuracy: 0.9661, prior_entropy: 0.863, recall: 0.9661, relative_absolute_error: 0.15, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1607, root_relative_squared_error: 0.3557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9575, kappa: 0.8957, kb_relative_information_score: 28620.3634, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9575, predictive_accuracy: 0.9576, prior_entropy: 0.863, recall: 0.9576, relative_absolute_error: 0.179, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1855, root_relative_squared_error: 0.4106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9653, kappa: 0.915, kb_relative_information_score: 6961.9543, mean_absolute_error: 0.3341, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9653, predictive_accuracy: 0.9654, prior_entropy: 0.863, recall: 0.9654, relative_absolute_error: 0.8188, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3517, root_relative_squared_error: 0.7787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8512, f_measure: 0.7067, kappa: 0.2515, kb_relative_information_score: 6634.7594, mean_absolute_error: 0.323, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8109, predictive_accuracy: 0.7673, prior_entropy: 0.863, recall: 0.7673, relative_absolute_error: 0.7915, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3956, root_relative_squared_error: 0.8757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9629, kappa: 0.9089, kb_relative_information_score: 29932.2755, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9628, predictive_accuracy: 0.9629, prior_entropy: 0.863, recall: 0.9629, relative_absolute_error: 0.1367, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1687, root_relative_squared_error: 0.3734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9649, kappa: 0.9138, kb_relative_information_score: 29468.0183, mean_absolute_error: 0.0621, 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: 0.1522, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1638, root_relative_squared_error: 0.3626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 0.4254, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9639, kappa: 0.9115, kb_relative_information_score: 29867.0709, mean_absolute_error: 0.056, 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: 0.1373, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.166, root_relative_squared_error: 0.3675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9667, kappa: 0.9183, kb_relative_information_score: 30025.1391, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9667, predictive_accuracy: 0.9667, prior_entropy: 0.863, recall: 0.9667, relative_absolute_error: 0.1332, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1602, root_relative_squared_error: 0.3546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 0.4252, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.956, kappa: 0.8922, kb_relative_information_score: 29151.7942, mean_absolute_error: 0.0641, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.956, predictive_accuracy: 0.956, prior_entropy: 0.863, recall: 0.956, relative_absolute_error: 0.1571, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1794, root_relative_squared_error: 0.3972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9385, kappa: 0.8491, kb_relative_information_score: 27172.4928, mean_absolute_error: 0.0875, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9384, predictive_accuracy: 0.9385, prior_entropy: 0.863, recall: 0.9385, relative_absolute_error: 0.2143, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2112, root_relative_squared_error: 0.4676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9728, kappa: 0.9332, kb_relative_information_score: -135.233, mean_absolute_error: 0.3919, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9728, predictive_accuracy: 0.9729, prior_entropy: 0.863, recall: 0.9729, relative_absolute_error: 0.9602, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3942, root_relative_squared_error: 0.8726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.8896, kappa: 0.7196, kb_relative_information_score: 21641.2469, mean_absolute_error: 0.1566, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.902, predictive_accuracy: 0.8958, prior_entropy: 0.863, recall: 0.8958, relative_absolute_error: 0.3837, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2734, root_relative_squared_error: 0.6054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.967, kappa: 0.9192, kb_relative_information_score: 30129.8139, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.967, predictive_accuracy: 0.9671, prior_entropy: 0.863, recall: 0.9671, relative_absolute_error: 0.1296, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1591, root_relative_squared_error: 0.3522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9619, kappa: 0.9065, kb_relative_information_score: 29200.8797, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9619, predictive_accuracy: 0.962, prior_entropy: 0.863, recall: 0.962, relative_absolute_error: 0.1595, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1709, root_relative_squared_error: 0.3784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9644, kappa: 0.9128, kb_relative_information_score: 2277.4233, mean_absolute_error: 0.3802, 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: 0.9316, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3861, root_relative_squared_error: 0.8548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9023, f_measure: 0.6221, kappa: 0.0576, kb_relative_information_score: 2045.2777, mean_absolute_error: 0.3899, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.7907, predictive_accuracy: 0.7258, prior_entropy: 0.863, recall: 0.7258, relative_absolute_error: 0.9555, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4331, root_relative_squared_error: 0.9589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.959, kappa: 0.8993, kb_relative_information_score: 28827.3066, mean_absolute_error: 0.0697, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9589, predictive_accuracy: 0.959, prior_entropy: 0.863, recall: 0.959, relative_absolute_error: 0.1709, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1746, root_relative_squared_error: 0.3866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9696, kappa: 0.9252, kb_relative_information_score: 30998.9814, mean_absolute_error: 0.0415, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9696, predictive_accuracy: 0.9697, prior_entropy: 0.863, recall: 0.9697, relative_absolute_error: 0.1017, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1547, root_relative_squared_error: 0.3424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9573, kappa: 0.8953, kb_relative_information_score: 28559.6526, mean_absolute_error: 0.0734, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9573, predictive_accuracy: 0.9574, prior_entropy: 0.863, recall: 0.9574, relative_absolute_error: 0.1799, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1787, root_relative_squared_error: 0.3957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9716, kappa: 0.9303, kb_relative_information_score: 24515.2522, mean_absolute_error: 0.1392, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9716, predictive_accuracy: 0.9717, prior_entropy: 0.863, recall: 0.9717, relative_absolute_error: 0.3411, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.4322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9531, kappa: 0.885, kb_relative_information_score: 27845.7565, mean_absolute_error: 0.0821, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9531, predictive_accuracy: 0.9531, prior_entropy: 0.863, recall: 0.9531, relative_absolute_error: 0.2011, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1957, root_relative_squared_error: 0.4333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9682, kappa: 0.9219, kb_relative_information_score: 30076.0698, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9681, predictive_accuracy: 0.9682, prior_entropy: 0.863, recall: 0.9682, relative_absolute_error: 0.1332, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1579, root_relative_squared_error: 0.3496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9621, kappa: 0.907, kb_relative_information_score: 28759.4529, mean_absolute_error: 0.072, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9621, predictive_accuracy: 0.9622, prior_entropy: 0.863, recall: 0.9622, relative_absolute_error: 0.1765, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1707, root_relative_squared_error: 0.3779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9603, kappa: 0.9026, kb_relative_information_score: 29612.8699, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9603, predictive_accuracy: 0.9602, prior_entropy: 0.863, recall: 0.9602, relative_absolute_error: 0.144, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1728, root_relative_squared_error: 0.3825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9631, kappa: 0.9096, kb_relative_information_score: 29815.7593, mean_absolute_error: 0.0568, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9631, predictive_accuracy: 0.9631, prior_entropy: 0.863, recall: 0.9631, relative_absolute_error: 0.1391, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1675, root_relative_squared_error: 0.3708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 0.4251, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 0.4252, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8363, f_measure: 0.7047, kappa: 0.2467, kb_relative_information_score: 6064.0017, mean_absolute_error: 0.3276, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8107, predictive_accuracy: 0.7662, prior_entropy: 0.863, recall: 0.7662, relative_absolute_error: 0.8027, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3972, root_relative_squared_error: 0.8792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.9201, kappa: 0.8001, kb_relative_information_score: 25161.3075, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9227, predictive_accuracy: 0.9222, prior_entropy: 0.863, recall: 0.9222, relative_absolute_error: 0.2829, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2386, root_relative_squared_error: 0.5281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9583, kappa: 0.8978, kb_relative_information_score: 28850.507, mean_absolute_error: 0.0697, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9583, predictive_accuracy: 0.9583, prior_entropy: 0.863, recall: 0.9583, relative_absolute_error: 0.1709, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1811, root_relative_squared_error: 0.4009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.941, kappa: 0.8534, kb_relative_information_score: 27029.4926, mean_absolute_error: 0.0937, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9418, predictive_accuracy: 0.9419, prior_entropy: 0.863, recall: 0.9419, relative_absolute_error: 0.2295, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2123, root_relative_squared_error: 0.47,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9682, kappa: 0.9221, kb_relative_information_score: 29860.5347, mean_absolute_error: 0.0577, 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: 0.1413, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1567, root_relative_squared_error: 0.3469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9634, kappa: 0.9102, kb_relative_information_score: 29057.2919, mean_absolute_error: 0.0679, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9634, predictive_accuracy: 0.9634, prior_entropy: 0.863, recall: 0.9634, relative_absolute_error: 0.1663, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1689, root_relative_squared_error: 0.3738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9505, kappa: 0.8777, kb_relative_information_score: 28570.089, mean_absolute_error: 0.0732, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9508, predictive_accuracy: 0.951, prior_entropy: 0.863, recall: 0.951, relative_absolute_error: 0.1793, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1943, root_relative_squared_error: 0.4301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3641, f_measure: 0.5961, kappa: 0.0013, kb_relative_information_score: -10.2044, mean_absolute_error: 0.4079, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.6909, predictive_accuracy: 0.7145, prior_entropy: 0.863, recall: 0.7145, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4516, root_relative_squared_error: 0.9997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9644, kappa: 0.9126, kb_relative_information_score: 29266.4743, mean_absolute_error: 0.0653, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9644, predictive_accuracy: 0.9644, prior_entropy: 0.863, recall: 0.9644, relative_absolute_error: 0.1601, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1658, root_relative_squared_error: 0.3669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9624, kappa: 0.9077, kb_relative_information_score: 29345.3683, mean_absolute_error: 0.0628, 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: 0.154, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1682, root_relative_squared_error: 0.3724,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9642, kappa: 0.9123, kb_relative_information_score: 30020.4598, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9642, predictive_accuracy: 0.9642, prior_entropy: 0.863, recall: 0.9642, relative_absolute_error: 0.1329, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1651, root_relative_squared_error: 0.3655,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9582, kappa: 0.8974, kb_relative_information_score: 28864.2345, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9581, predictive_accuracy: 0.9582, prior_entropy: 0.863, recall: 0.9582, relative_absolute_error: 0.1701, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1813, root_relative_squared_error: 0.4014,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9643, f_measure: 0.9027, kappa: 0.7537, kb_relative_information_score: 22606.9887, mean_absolute_error: 0.1476, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9116, predictive_accuracy: 0.9072, prior_entropy: 0.863, recall: 0.9072, relative_absolute_error: 0.3616, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2621, root_relative_squared_error: 0.5803,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5742, f_measure: 0.6044, kappa: 0.0119, kb_relative_information_score: 8.933, mean_absolute_error: 0.4049, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.627, predictive_accuracy: 0.7116, prior_entropy: 0.863, recall: 0.7116, relative_absolute_error: 0.9922, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4501, root_relative_squared_error: 0.9965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.9313, kappa: 0.8284, kb_relative_information_score: 26368.3027, mean_absolute_error: 0.0998, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9334, predictive_accuracy: 0.9328, prior_entropy: 0.863, recall: 0.9328, relative_absolute_error: 0.2446, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2224, root_relative_squared_error: 0.4924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9632, kappa: 0.9097, kb_relative_information_score: 29278.1175, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9632, predictive_accuracy: 0.9633, prior_entropy: 0.863, recall: 0.9633, relative_absolute_error: 0.1581, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1681, root_relative_squared_error: 0.372,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9601, kappa: 0.9021, kb_relative_information_score: 28855.0445, mean_absolute_error: 0.0698, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9601, predictive_accuracy: 0.9602, prior_entropy: 0.863, recall: 0.9602, relative_absolute_error: 0.171, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1727, root_relative_squared_error: 0.3824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9638, kappa: 0.9112, kb_relative_information_score: 29434.9475, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9638, predictive_accuracy: 0.9638, prior_entropy: 0.863, recall: 0.9638, relative_absolute_error: 0.1529, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1655, root_relative_squared_error: 0.3665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.963, kappa: 0.9094, kb_relative_information_score: 29775.3202, mean_absolute_error: 0.0574, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.963, predictive_accuracy: 0.9631, prior_entropy: 0.863, recall: 0.9631, relative_absolute_error: 0.1405, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1679, root_relative_squared_error: 0.3716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9611, kappa: 0.9044, kb_relative_information_score: 28988.9464, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.961, predictive_accuracy: 0.9611, prior_entropy: 0.863, recall: 0.9611, relative_absolute_error: 0.1671, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1717, root_relative_squared_error: 0.3801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.964, kappa: 0.9117, kb_relative_information_score: 29669.7828, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.964, predictive_accuracy: 0.9641, prior_entropy: 0.863, recall: 0.9641, relative_absolute_error: 0.145, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1654, root_relative_squared_error: 0.3662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9712, f_measure: 0.9199, kappa: 0.8042, kb_relative_information_score: 24462.158, mean_absolute_error: 0.1203, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9201, predictive_accuracy: 0.9197, prior_entropy: 0.863, recall: 0.9197, relative_absolute_error: 0.2949, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.245, root_relative_squared_error: 0.5423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9671, kappa: 0.9193, kb_relative_information_score: 29774.2289, mean_absolute_error: 0.0587, 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: 0.1439, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1579, root_relative_squared_error: 0.3496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.964, kappa: 0.9116, kb_relative_information_score: 29358.1471, mean_absolute_error: 0.0636, 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: 0.1559, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1667, root_relative_squared_error: 0.3689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 0.4251, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9636, kappa: 0.9108, kb_relative_information_score: 29760.1312, mean_absolute_error: 0.0577, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9636, predictive_accuracy: 0.9636, prior_entropy: 0.863, recall: 0.9636, relative_absolute_error: 0.1414, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1684, root_relative_squared_error: 0.3728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9681, kappa: 0.9219, kb_relative_information_score: 14327.6414, mean_absolute_error: 0.2644, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9681, predictive_accuracy: 0.9682, prior_entropy: 0.863, recall: 0.9682, relative_absolute_error: 0.6479, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.292, root_relative_squared_error: 0.6465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9606, kappa: 0.9034, kb_relative_information_score: 28876.9481, mean_absolute_error: 0.0696, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9606, predictive_accuracy: 0.9607, prior_entropy: 0.863, recall: 0.9607, relative_absolute_error: 0.1706, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1739, root_relative_squared_error: 0.385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9666, kappa: 0.9181, kb_relative_information_score: 29637.4887, mean_absolute_error: 0.0605, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9666, predictive_accuracy: 0.9667, prior_entropy: 0.863, recall: 0.9667, relative_absolute_error: 0.1483, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1598, root_relative_squared_error: 0.3537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7684, f_measure: 0.7435, kappa: 0.3398, kb_relative_information_score: 6161.28, mean_absolute_error: 0.3345, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.7648, predictive_accuracy: 0.7737, prior_entropy: 0.863, recall: 0.7737, relative_absolute_error: 0.8198, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4048, root_relative_squared_error: 0.8961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9674, kappa: 0.9198, kb_relative_information_score: 31213.9523, mean_absolute_error: 0.037, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9674, predictive_accuracy: 0.9675, prior_entropy: 0.863, recall: 0.9675, relative_absolute_error: 0.0907, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1667, root_relative_squared_error: 0.369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9692, kappa: 0.9244, kb_relative_information_score: 30131.938, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9692, predictive_accuracy: 0.9692, prior_entropy: 0.863, recall: 0.9692, relative_absolute_error: 0.1322, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1536, root_relative_squared_error: 0.3401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: 0.4258, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9687, f_measure: 0.9176, kappa: 0.7996, kb_relative_information_score: 24010.6802, mean_absolute_error: 0.1251, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9186, predictive_accuracy: 0.9171, prior_entropy: 0.863, recall: 0.9171, relative_absolute_error: 0.3064, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2504, root_relative_squared_error: 0.5543,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9686, kappa: 0.9229, kb_relative_information_score: 30374.5837, mean_absolute_error: 0.0495, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9686, predictive_accuracy: 0.9685, prior_entropy: 0.863, recall: 0.9685, relative_absolute_error: 0.1214, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1564, root_relative_squared_error: 0.3461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9659, kappa: 0.9164, kb_relative_information_score: 29640.9475, mean_absolute_error: 0.0601, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9659, predictive_accuracy: 0.966, prior_entropy: 0.863, recall: 0.966, relative_absolute_error: 0.1474, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1612, root_relative_squared_error: 0.3568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9518, kappa: 0.8816, kb_relative_information_score: 27020.9731, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9517, predictive_accuracy: 0.952, prior_entropy: 0.863, recall: 0.952, relative_absolute_error: 0.2302, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1932, root_relative_squared_error: 0.4277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9349, f_measure: 0.9473, kappa: 0.8709, kb_relative_information_score: 29642.7099, mean_absolute_error: 0.0527, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9473, predictive_accuracy: 0.9474, prior_entropy: 0.863, recall: 0.9474, relative_absolute_error: 0.129, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2294, root_relative_squared_error: 0.5079,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9612, kappa: 0.9048, kb_relative_information_score: 28919.8426, mean_absolute_error: 0.0692, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9612, predictive_accuracy: 0.9613, prior_entropy: 0.863, recall: 0.9613, relative_absolute_error: 0.1696, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1727, root_relative_squared_error: 0.3824,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.9277, kappa: 0.8234, kb_relative_information_score: 25834.6556, mean_absolute_error: 0.1019, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.928, predictive_accuracy: 0.9275, prior_entropy: 0.863, recall: 0.9275, relative_absolute_error: 0.2498, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2313, root_relative_squared_error: 0.512,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9617, kappa: 0.9061, kb_relative_information_score: 28813.135, mean_absolute_error: 0.0709, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9617, predictive_accuracy: 0.9618, prior_entropy: 0.863, recall: 0.9618, relative_absolute_error: 0.1736, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1718, root_relative_squared_error: 0.3803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 0.4252, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9644, kappa: 0.9128, kb_relative_information_score: 29851.2916, mean_absolute_error: 0.0561, 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: 0.1375, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.164, root_relative_squared_error: 0.3632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.941, kappa: 0.8551, kb_relative_information_score: 27436.3042, mean_absolute_error: 0.0843, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9409, predictive_accuracy: 0.941, prior_entropy: 0.863, recall: 0.941, relative_absolute_error: 0.2065, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.207, root_relative_squared_error: 0.4582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 0.4252, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.59, f_measure: 0.6072, kappa: 0.0163, kb_relative_information_score: 68.996, mean_absolute_error: 0.4041, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.6298, predictive_accuracy: 0.7111, prior_entropy: 0.863, recall: 0.7111, relative_absolute_error: 0.9902, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4498, root_relative_squared_error: 0.9958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9605, kappa: 0.9031, kb_relative_information_score: 29248.4306, mean_absolute_error: 0.0647, 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: 0.1585, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1747, root_relative_squared_error: 0.3868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9694, kappa: 0.9249, kb_relative_information_score: 30054.108, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9694, predictive_accuracy: 0.9694, prior_entropy: 0.863, recall: 0.9694, relative_absolute_error: 0.1356, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1529, root_relative_squared_error: 0.3384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9669, kappa: 0.9188, kb_relative_information_score: 15395.1715, mean_absolute_error: 0.2506, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9668, predictive_accuracy: 0.9669, prior_entropy: 0.863, recall: 0.9669, relative_absolute_error: 0.6142, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2831, root_relative_squared_error: 0.6268,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

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

OpenML APIs