OpenML
Supervised Classification on nomao

Supervised Classification on nomao

Task 145854 Supervised Classification nomao 32334 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.947, kappa: 0.8699, kb_relative_information_score: 27320.6413, mean_absolute_error: 0.0875, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9469, predictive_accuracy: 0.9471, prior_entropy: 0.863, recall: 0.9471, relative_absolute_error: 0.2143, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2011, root_relative_squared_error: 0.4452, scimark_benchmark: 1733.6357, usercpu_time_millis: 7.839, usercpu_time_millis_testing: 0.327, usercpu_time_millis_training: 7.512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -3.6847, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, 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, scimark_benchmark: 1795.8241, usercpu_time_millis: 44.228, usercpu_time_millis_testing: 3.885, usercpu_time_millis_training: 40.343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9349, kappa: 0.8387, kb_relative_information_score: 25540.9752, mean_absolute_error: 0.1085, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9353, predictive_accuracy: 0.9358, prior_entropy: 0.863, recall: 0.9358, relative_absolute_error: 0.266, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2214, root_relative_squared_error: 0.4902, scimark_benchmark: 1777.3446, usercpu_time_millis: 3194.375, usercpu_time_millis_testing: 14.152, usercpu_time_millis_training: 3180.223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9584, f_measure: 0.9043, kappa: 0.7631, kb_relative_information_score: 22258.4409, mean_absolute_error: 0.1503, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9041, predictive_accuracy: 0.9053, prior_entropy: 0.863, recall: 0.9053, relative_absolute_error: 0.3682, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2638, root_relative_squared_error: 0.5841, scimark_benchmark: 1818.8395, usercpu_time_millis: 1565.691, usercpu_time_millis_testing: 7.365, usercpu_time_millis_training: 1558.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.936, kappa: 0.8415, kb_relative_information_score: 25527.0941, mean_absolute_error: 0.1082, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9364, predictive_accuracy: 0.9368, prior_entropy: 0.863, recall: 0.9368, relative_absolute_error: 0.2652, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2221, root_relative_squared_error: 0.4916, scimark_benchmark: 1756.1852, usercpu_time_millis: 809.653, usercpu_time_millis_testing: 4.093, usercpu_time_millis_training: 805.56,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9674, kappa: 0.9199, kb_relative_information_score: 29376.8424, mean_absolute_error: 0.0648, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9673, predictive_accuracy: 0.9674, prior_entropy: 0.863, recall: 0.9674, relative_absolute_error: 0.1589, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1602, root_relative_squared_error: 0.3545, scimark_benchmark: 1811.4374, usercpu_time_millis: 138.328, usercpu_time_millis_testing: 3.642, usercpu_time_millis_training: 134.686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.957, f_measure: 0.8864, kappa: 0.7171, kb_relative_information_score: 14685.9205, mean_absolute_error: 0.247, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8867, predictive_accuracy: 0.8886, prior_entropy: 0.863, recall: 0.8886, relative_absolute_error: 0.6053, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3122, root_relative_squared_error: 0.6912, scimark_benchmark: 1779.3205, usercpu_time_millis: 13.877, usercpu_time_millis_testing: 0.493, usercpu_time_millis_training: 13.384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9199, kappa: 0.7994, kb_relative_information_score: 24869.9664, mean_absolute_error: 0.1136, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.923, predictive_accuracy: 0.9222, prior_entropy: 0.863, recall: 0.9222, relative_absolute_error: 0.2784, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2347, root_relative_squared_error: 0.5196, scimark_benchmark: 1806.9303, usercpu_time_millis: 6177.98, usercpu_time_millis_testing: 13.999, usercpu_time_millis_training: 6163.981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9672, kappa: 0.9196, kb_relative_information_score: 29908.5192, mean_absolute_error: 0.0564, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9672, predictive_accuracy: 0.9673, prior_entropy: 0.863, recall: 0.9673, relative_absolute_error: 0.1383, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1607, root_relative_squared_error: 0.3558, scimark_benchmark: 1810.9005, usercpu_time_millis: 2480.296, usercpu_time_millis_testing: 6.923, usercpu_time_millis_training: 2473.373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9582, kappa: 0.8975, kb_relative_information_score: 28269.1511, mean_absolute_error: 0.0773, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9582, predictive_accuracy: 0.9582, prior_entropy: 0.863, recall: 0.9582, relative_absolute_error: 0.1895, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1807, root_relative_squared_error: 0.3999, scimark_benchmark: 1759.1448, usercpu_time_millis: 2008.554, usercpu_time_millis_testing: 15.896, usercpu_time_millis_training: 1992.658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.9223, kappa: 0.8053, kb_relative_information_score: 24719.9857, mean_absolute_error: 0.1195, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9258, predictive_accuracy: 0.9246, prior_entropy: 0.863, recall: 0.9246, relative_absolute_error: 0.2927, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2302, root_relative_squared_error: 0.5096, scimark_benchmark: 1804.8545, usercpu_time_millis: 1689.209, usercpu_time_millis_testing: 12.316, usercpu_time_millis_training: 1676.893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9495, kappa: 0.876, kb_relative_information_score: 26946.4587, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9495, predictive_accuracy: 0.9497, prior_entropy: 0.863, recall: 0.9497, relative_absolute_error: 0.23, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1984, root_relative_squared_error: 0.4393, scimark_benchmark: 1793.5558, usercpu_time_millis: 840.459, usercpu_time_millis_testing: 16.702, usercpu_time_millis_training: 823.757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9686, kappa: 0.9229, kb_relative_information_score: 29856.1627, mean_absolute_error: 0.0581, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9685, predictive_accuracy: 0.9686, prior_entropy: 0.863, recall: 0.9686, relative_absolute_error: 0.1425, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1557, root_relative_squared_error: 0.3448, scimark_benchmark: 1765.2677, usercpu_time_millis: 663.13, usercpu_time_millis_testing: 6.911, usercpu_time_millis_training: 656.219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.9434, kappa: 0.8605, kb_relative_information_score: 26347.0324, mean_absolute_error: 0.1006, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9434, predictive_accuracy: 0.9438, prior_entropy: 0.863, recall: 0.9438, relative_absolute_error: 0.2466, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.4599, scimark_benchmark: 1846.4335, usercpu_time_millis: 434.291, usercpu_time_millis_testing: 7.797, usercpu_time_millis_training: 426.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9681, kappa: 0.9217, kb_relative_information_score: 29868.1902, mean_absolute_error: 0.0576, 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: 0.1411, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1582, root_relative_squared_error: 0.3503, scimark_benchmark: 1738.232, usercpu_time_millis: 319.732, usercpu_time_millis_testing: 1.331, usercpu_time_millis_training: 318.401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.9156, kappa: 0.7893, kb_relative_information_score: 18535.5827, mean_absolute_error: 0.2045, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9172, predictive_accuracy: 0.9175, prior_entropy: 0.863, recall: 0.9175, relative_absolute_error: 0.5011, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2735, root_relative_squared_error: 0.6054, scimark_benchmark: 1822.7708, usercpu_time_millis: 286.488, usercpu_time_millis_testing: 11.757, usercpu_time_millis_training: 274.731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9611, f_measure: 0.7669, kappa: 0.4006, kb_relative_information_score: 9905.8122, mean_absolute_error: 0.3116, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8414, predictive_accuracy: 0.8046, prior_entropy: 0.863, recall: 0.8046, relative_absolute_error: 0.7635, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3557, root_relative_squared_error: 0.7874, scimark_benchmark: 1681.2992, usercpu_time_millis: 117.201, usercpu_time_millis_testing: 9.057, usercpu_time_millis_training: 108.144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9564, f_measure: 0.8718, kappa: 0.6872, kb_relative_information_score: 18204.8539, mean_absolute_error: 0.1984, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8725, predictive_accuracy: 0.8713, prior_entropy: 0.863, recall: 0.8713, relative_absolute_error: 0.4863, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2934, root_relative_squared_error: 0.6495, scimark_benchmark: 1769.2236, usercpu_time_millis: 85.405, usercpu_time_millis_testing: 2.112, usercpu_time_millis_training: 83.293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9565, kappa: 0.8932, kb_relative_information_score: 27804.4483, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9564, predictive_accuracy: 0.9566, prior_entropy: 0.863, recall: 0.9566, relative_absolute_error: 0.205, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.4092, scimark_benchmark: 1878.6237, usercpu_time_millis: 60.354, usercpu_time_millis_testing: 1.128, usercpu_time_millis_training: 59.226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9281, f_measure: 0.858, kappa: 0.651, kb_relative_information_score: 15387.8738, mean_absolute_error: 0.2375, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8576, predictive_accuracy: 0.8584, prior_entropy: 0.863, recall: 0.8584, relative_absolute_error: 0.5821, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3318, root_relative_squared_error: 0.7346, scimark_benchmark: 1769.9716, usercpu_time_millis: 34.809, usercpu_time_millis_testing: 1.835, usercpu_time_millis_training: 32.974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9323, kappa: 0.8317, kb_relative_information_score: 24598.4054, mean_absolute_error: 0.1247, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.933, predictive_accuracy: 0.9334, prior_entropy: 0.863, recall: 0.9334, relative_absolute_error: 0.3055, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2242, root_relative_squared_error: 0.4964, scimark_benchmark: 1888.4873, usercpu_time_millis: 26.615, usercpu_time_millis_testing: 0.556, usercpu_time_millis_training: 26.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9551, kappa: 0.8903, kb_relative_information_score: 29088.9704, mean_absolute_error: 0.0634, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9553, predictive_accuracy: 0.9549, prior_entropy: 0.863, recall: 0.9549, relative_absolute_error: 0.1554, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1876, root_relative_squared_error: 0.4153, scimark_benchmark: 1783.1159, usercpu_time_millis: 15.453, usercpu_time_millis_testing: 0.343, usercpu_time_millis_training: 15.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9452, kappa: 0.865, kb_relative_information_score: 26617.8138, mean_absolute_error: 0.0963, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9451, predictive_accuracy: 0.9455, prior_entropy: 0.863, recall: 0.9455, relative_absolute_error: 0.2359, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2068, root_relative_squared_error: 0.4579, scimark_benchmark: 1715.1285, usercpu_time_millis: 1594.503, usercpu_time_millis_testing: 5.987, usercpu_time_millis_training: 1588.516,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.9175, kappa: 0.7926, kb_relative_information_score: 23940.0967, mean_absolute_error: 0.1329, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9224, predictive_accuracy: 0.9203, prior_entropy: 0.863, recall: 0.9203, relative_absolute_error: 0.3256, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2339, root_relative_squared_error: 0.5178, scimark_benchmark: 1773.7754, usercpu_time_millis: 177.767, usercpu_time_millis_testing: 2.729, usercpu_time_millis_training: 175.038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9626, kappa: 0.9082, kb_relative_information_score: 29021.4663, mean_absolute_error: 0.0679, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9626, predictive_accuracy: 0.9626, prior_entropy: 0.863, recall: 0.9626, relative_absolute_error: 0.1663, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1718, root_relative_squared_error: 0.3804, scimark_benchmark: 1844.9435, usercpu_time_millis: 3949.663, usercpu_time_millis_testing: 10.462, usercpu_time_millis_training: 3939.201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9484, kappa: 0.8734, kb_relative_information_score: 26889.8178, mean_absolute_error: 0.0945, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9484, predictive_accuracy: 0.9486, prior_entropy: 0.863, recall: 0.9486, relative_absolute_error: 0.2315, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1992, root_relative_squared_error: 0.4411, scimark_benchmark: 1810.5646, usercpu_time_millis: 1692.804, usercpu_time_millis_testing: 17.556, usercpu_time_millis_training: 1675.248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9667, kappa: 0.9183, kb_relative_information_score: 29624.3727, mean_absolute_error: 0.0606, 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: 0.1486, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.162, root_relative_squared_error: 0.3587, scimark_benchmark: 1702.0674, usercpu_time_millis: 1025.9, usercpu_time_millis_testing: 2.927, usercpu_time_millis_training: 1022.973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9426, f_measure: 0.8651, kappa: 0.6701, kb_relative_information_score: 16770.2605, mean_absolute_error: 0.2175, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8654, predictive_accuracy: 0.8649, prior_entropy: 0.863, recall: 0.8649, relative_absolute_error: 0.533, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3091, root_relative_squared_error: 0.6843, scimark_benchmark: 1748.0599, usercpu_time_millis: 248.012, usercpu_time_millis_testing: 7.085, usercpu_time_millis_training: 240.927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9593, kappa: 0.9, kb_relative_information_score: 28168.2294, mean_absolute_error: 0.0797, 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: 0.1954, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1789, root_relative_squared_error: 0.396, scimark_benchmark: 1758.6361, usercpu_time_millis: 55.79, usercpu_time_millis_testing: 2.175, usercpu_time_millis_training: 53.615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9355, f_measure: 0.8689, kappa: 0.6804, kb_relative_information_score: 17183.6169, mean_absolute_error: 0.2105, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8697, predictive_accuracy: 0.8683, prior_entropy: 0.863, recall: 0.8683, relative_absolute_error: 0.5157, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3081, root_relative_squared_error: 0.6821, scimark_benchmark: 1734.1197, usercpu_time_millis: 15.907, usercpu_time_millis_testing: 0.471, usercpu_time_millis_training: 15.436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: -1.2934, mean_absolute_error: 0.408, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1790.2354, usercpu_time_millis: 13.582, usercpu_time_millis_testing: 0.784, usercpu_time_millis_training: 12.798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.5954, kb_relative_information_score: 4.1561, mean_absolute_error: 0.408, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1831.5056, usercpu_time_millis: 8.551, usercpu_time_millis_testing: 0.945, usercpu_time_millis_training: 7.606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -4.829, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, 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, scimark_benchmark: 1759.968, usercpu_time_millis: 14.248, usercpu_time_millis_testing: 0.702, usercpu_time_millis_training: 13.546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: 0.6069, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, 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, scimark_benchmark: 1724.0704, usercpu_time_millis: 44.961, usercpu_time_millis_testing: 5.798, usercpu_time_millis_training: 39.163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9672, kappa: 0.9195, kb_relative_information_score: 29946.218, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9672, predictive_accuracy: 0.9672, prior_entropy: 0.863, recall: 0.9672, relative_absolute_error: 0.137, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1605, root_relative_squared_error: 0.3553, scimark_benchmark: 1717.5343, usercpu_time_millis: 3286.592, usercpu_time_millis_testing: 7.214, usercpu_time_millis_training: 3279.378,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9472, kappa: 0.8692, kb_relative_information_score: 24332.4882, mean_absolute_error: 0.1335, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9477, predictive_accuracy: 0.9478, prior_entropy: 0.863, recall: 0.9478, relative_absolute_error: 0.3272, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2143, root_relative_squared_error: 0.4745, scimark_benchmark: 1411.6509, usercpu_time_millis: 397.22, usercpu_time_millis_testing: 32.64, usercpu_time_millis_training: 364.58,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9674, kappa: 0.9199, kb_relative_information_score: 28768.9531, mean_absolute_error: 0.0743, 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: 0.1821, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1636, root_relative_squared_error: 0.3621, scimark_benchmark: 1288.4992, usercpu_time_millis: 242.91, usercpu_time_millis_testing: 7.58, usercpu_time_millis_training: 235.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9687, kappa: 0.923, kb_relative_information_score: 29223.2323, mean_absolute_error: 0.0679, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9686, predictive_accuracy: 0.9688, prior_entropy: 0.863, recall: 0.9688, relative_absolute_error: 0.1665, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1585, root_relative_squared_error: 0.3509, scimark_benchmark: 1291.2693, usercpu_time_millis: 898.32, usercpu_time_millis_testing: 39.76, usercpu_time_millis_training: 858.56,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9503, kappa: 0.8773, kb_relative_information_score: 26070.7808, mean_absolute_error: 0.1085, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9505, predictive_accuracy: 0.9507, prior_entropy: 0.863, recall: 0.9507, relative_absolute_error: 0.2659, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2, root_relative_squared_error: 0.4427, scimark_benchmark: 1439.0379, usercpu_time_millis: 231.38, usercpu_time_millis_testing: 10.59, usercpu_time_millis_training: 220.79,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9343, kappa: 0.8354, kb_relative_information_score: 19627.2639, mean_absolute_error: 0.2002, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9381, predictive_accuracy: 0.9362, prior_entropy: 0.863, recall: 0.9362, relative_absolute_error: 0.4907, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2574, root_relative_squared_error: 0.5698, scimark_benchmark: 1243.2934, usercpu_time_millis: 556.87, usercpu_time_millis_testing: 32.79, usercpu_time_millis_training: 524.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9588, kappa: 0.8984, kb_relative_information_score: 26792.5545, mean_absolute_error: 0.1013, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.959, predictive_accuracy: 0.9591, prior_entropy: 0.863, recall: 0.9591, relative_absolute_error: 0.2482, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1862, root_relative_squared_error: 0.4123, scimark_benchmark: 1309.5044, usercpu_time_millis: 1022.67, usercpu_time_millis_testing: 49.55, usercpu_time_millis_training: 973.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9612, kappa: 0.9045, kb_relative_information_score: 27390.7692, mean_absolute_error: 0.0934, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9613, predictive_accuracy: 0.9615, prior_entropy: 0.863, recall: 0.9615, relative_absolute_error: 0.2289, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.179, root_relative_squared_error: 0.3962, scimark_benchmark: 1492.3189, usercpu_time_millis: 250.2, usercpu_time_millis_testing: 22.63, usercpu_time_millis_training: 227.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9641, kappa: 0.9116, kb_relative_information_score: 28403.2021, mean_absolute_error: 0.0788, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.964, predictive_accuracy: 0.9642, prior_entropy: 0.863, recall: 0.9642, relative_absolute_error: 0.1931, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1695, root_relative_squared_error: 0.3752, scimark_benchmark: 1293.4827, usercpu_time_millis: 571.3, usercpu_time_millis_testing: 34.31, usercpu_time_millis_training: 536.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9687, kappa: 0.9232, kb_relative_information_score: 29209.6955, mean_absolute_error: 0.0681, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9687, predictive_accuracy: 0.9688, prior_entropy: 0.863, recall: 0.9688, relative_absolute_error: 0.167, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1585, root_relative_squared_error: 0.3509, scimark_benchmark: 1122.0084, usercpu_time_millis: 1148.63, usercpu_time_millis_testing: 38.93, usercpu_time_millis_training: 1109.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9568, kappa: 0.893, kb_relative_information_score: 25623.6647, mean_absolute_error: 0.1188, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9571, predictive_accuracy: 0.9572, prior_entropy: 0.863, recall: 0.9572, relative_absolute_error: 0.2911, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1954, root_relative_squared_error: 0.4326, scimark_benchmark: 1310.6112, usercpu_time_millis: 1244.39, usercpu_time_millis_testing: 48.66, usercpu_time_millis_training: 1195.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9679, kappa: 0.9211, kb_relative_information_score: 28852.5097, mean_absolute_error: 0.0733, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9679, predictive_accuracy: 0.968, prior_entropy: 0.863, recall: 0.968, relative_absolute_error: 0.1796, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1621, root_relative_squared_error: 0.3589, scimark_benchmark: 1503.3227, usercpu_time_millis: 209.17, usercpu_time_millis_testing: 11.09, usercpu_time_millis_training: 198.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9582, kappa: 0.897, kb_relative_information_score: 26732.7577, mean_absolute_error: 0.1019, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9584, predictive_accuracy: 0.9585, prior_entropy: 0.863, recall: 0.9585, relative_absolute_error: 0.2496, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.187, root_relative_squared_error: 0.4139, scimark_benchmark: 1377.8511, usercpu_time_millis: 331.01, usercpu_time_millis_testing: 11.3, usercpu_time_millis_training: 319.71,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9536, kappa: 0.8854, kb_relative_information_score: 25674.7733, mean_absolute_error: 0.116, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9539, predictive_accuracy: 0.9541, prior_entropy: 0.863, recall: 0.9541, relative_absolute_error: 0.2841, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1993, root_relative_squared_error: 0.4412, scimark_benchmark: 1308.8106, usercpu_time_millis: 596.42, usercpu_time_millis_testing: 35.14, usercpu_time_millis_training: 561.28,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9172, kappa: 0.7913, kb_relative_information_score: 17975.3503, mean_absolute_error: 0.2191, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9234, predictive_accuracy: 0.9203, prior_entropy: 0.863, recall: 0.9203, relative_absolute_error: 0.5368, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2758, root_relative_squared_error: 0.6106, scimark_benchmark: 1207.0058, usercpu_time_millis: 230.14, usercpu_time_millis_testing: 13.22, usercpu_time_millis_training: 216.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9638, kappa: 0.9111, kb_relative_information_score: 28355.9114, mean_absolute_error: 0.0794, 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: 0.1945, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1703, root_relative_squared_error: 0.377, scimark_benchmark: 1267.3811, usercpu_time_millis: 926.58, usercpu_time_millis_testing: 38.09, usercpu_time_millis_training: 888.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9636, kappa: 0.9104, kb_relative_information_score: 27815.7098, mean_absolute_error: 0.088, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9637, predictive_accuracy: 0.9638, prior_entropy: 0.863, recall: 0.9638, relative_absolute_error: 0.2155, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1732, root_relative_squared_error: 0.3834, scimark_benchmark: 1390.4796, usercpu_time_millis: 897.19, usercpu_time_millis_testing: 50.61, usercpu_time_millis_training: 846.58,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9586, kappa: 0.8978, kb_relative_information_score: 26749.1105, mean_absolute_error: 0.1019, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9587, predictive_accuracy: 0.9589, prior_entropy: 0.863, recall: 0.9589, relative_absolute_error: 0.2496, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1868, root_relative_squared_error: 0.4135, scimark_benchmark: 1304.6495, usercpu_time_millis: 173.71, usercpu_time_millis_testing: 8.32, usercpu_time_millis_training: 165.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.947, kappa: 0.869, kb_relative_information_score: 25612.0886, mean_absolute_error: 0.1145, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9473, predictive_accuracy: 0.9476, prior_entropy: 0.863, recall: 0.9476, relative_absolute_error: 0.2807, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2049, root_relative_squared_error: 0.4537, scimark_benchmark: 1289.8531, usercpu_time_millis: 125.19, usercpu_time_millis_testing: 3.97, usercpu_time_millis_training: 121.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9546, kappa: 0.8876, kb_relative_information_score: 25061.3111, mean_absolute_error: 0.1259, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.955, predictive_accuracy: 0.9551, prior_entropy: 0.863, recall: 0.9551, relative_absolute_error: 0.3086, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2023, root_relative_squared_error: 0.4479, scimark_benchmark: 1303.5832, usercpu_time_millis: 476.15, usercpu_time_millis_testing: 26.92, usercpu_time_millis_training: 449.23,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9596, kappa: 0.9002, kb_relative_information_score: 26220.9034, mean_absolute_error: 0.1111, 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: 0.2722, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.188, root_relative_squared_error: 0.4162, scimark_benchmark: 1358.9017, usercpu_time_millis: 534.62, usercpu_time_millis_testing: 33.89, usercpu_time_millis_training: 500.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9382, kappa: 0.8467, kb_relative_information_score: 23386.6211, mean_absolute_error: 0.1446, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9389, predictive_accuracy: 0.9391, prior_entropy: 0.863, recall: 0.9391, relative_absolute_error: 0.3544, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2269, root_relative_squared_error: 0.5024, scimark_benchmark: 1235.3116, usercpu_time_millis: 133.15, usercpu_time_millis_testing: 5.36, usercpu_time_millis_training: 127.79,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9293, kappa: 0.8225, kb_relative_information_score: 19119.7451, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9339, predictive_accuracy: 0.9316, prior_entropy: 0.863, recall: 0.9316, relative_absolute_error: 0.5061, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.263, root_relative_squared_error: 0.5823, scimark_benchmark: 1315.0621, usercpu_time_millis: 381.84, usercpu_time_millis_testing: 37.19, usercpu_time_millis_training: 344.65,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9629, kappa: 0.9089, kb_relative_information_score: 28348.616, mean_absolute_error: 0.079, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9629, predictive_accuracy: 0.9631, prior_entropy: 0.863, recall: 0.9631, relative_absolute_error: 0.1936, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1716, root_relative_squared_error: 0.38, scimark_benchmark: 1146.8493, usercpu_time_millis: 282.43, usercpu_time_millis_testing: 15.94, usercpu_time_millis_training: 266.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9619, kappa: 0.9064, kb_relative_information_score: 29476.5092, mean_absolute_error: 0.061, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9618, predictive_accuracy: 0.9619, prior_entropy: 0.863, recall: 0.9619, relative_absolute_error: 0.1494, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1701, root_relative_squared_error: 0.3767, scimark_benchmark: 1359.2163, usercpu_time_millis: 14644.98, usercpu_time_millis_testing: 58.17, usercpu_time_millis_training: 14586.81,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9659, kappa: 0.9162, kb_relative_information_score: 29366.1506, mean_absolute_error: 0.0641, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9658, predictive_accuracy: 0.9659, prior_entropy: 0.863, recall: 0.9659, relative_absolute_error: 0.157, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1648, root_relative_squared_error: 0.3649, scimark_benchmark: 1306.9589, usercpu_time_millis: 3763.96, usercpu_time_millis_testing: 33.33, usercpu_time_millis_training: 3730.63,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, f_measure: 0.9153, kappa: 0.7868, kb_relative_information_score: 24305.1651, mean_absolute_error: 0.1241, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9205, predictive_accuracy: 0.9183, prior_entropy: 0.863, recall: 0.9183, relative_absolute_error: 0.304, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2376, root_relative_squared_error: 0.5259, scimark_benchmark: 1392.1649, usercpu_time_millis: 2704.13, usercpu_time_millis_testing: 20.67, usercpu_time_millis_training: 2683.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.9365, kappa: 0.8431, kb_relative_information_score: 26219.5022, mean_absolute_error: 0.0998, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9365, predictive_accuracy: 0.937, prior_entropy: 0.863, recall: 0.937, relative_absolute_error: 0.2445, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.215, root_relative_squared_error: 0.4759, scimark_benchmark: 1324.6679, usercpu_time_millis: 6433.3, usercpu_time_millis_testing: 32.71, usercpu_time_millis_training: 6400.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9675, kappa: 0.9202, kb_relative_information_score: 29740.461, mean_absolute_error: 0.059, 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: 0.1447, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1602, root_relative_squared_error: 0.3547, scimark_benchmark: 1353.3617, usercpu_time_millis: 3935.94, usercpu_time_millis_testing: 21.28, usercpu_time_millis_training: 3914.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.9198, kappa: 0.7985, kb_relative_information_score: 24576.4627, mean_absolute_error: 0.1217, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.924, predictive_accuracy: 0.9223, prior_entropy: 0.863, recall: 0.9223, relative_absolute_error: 0.2982, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2313, root_relative_squared_error: 0.5121, scimark_benchmark: 1303.6094, usercpu_time_millis: 987.93, usercpu_time_millis_testing: 7.9, usercpu_time_millis_training: 980.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9236, f_measure: 0.8634, kappa: 0.6699, kb_relative_information_score: 17355.321, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8663, predictive_accuracy: 0.8617, prior_entropy: 0.863, recall: 0.8617, relative_absolute_error: 0.5024, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3116, root_relative_squared_error: 0.6898, scimark_benchmark: 1322.7313, usercpu_time_millis: 614.77, usercpu_time_millis_testing: 4.56, usercpu_time_millis_training: 610.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9755, f_measure: 0.9165, kappa: 0.79, kb_relative_information_score: 24383.9856, mean_absolute_error: 0.1234, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9216, predictive_accuracy: 0.9194, prior_entropy: 0.863, recall: 0.9194, relative_absolute_error: 0.3024, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2356, root_relative_squared_error: 0.5215, scimark_benchmark: 1340.9798, usercpu_time_millis: 1459.4, usercpu_time_millis_testing: 9.21, usercpu_time_millis_training: 1450.19,

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

OpenML bootcamp

From your own software

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

OpenML APIs