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: 0.9923, f_measure: 0.9607, kappa: 0.9034, kb_relative_information_score: 28094.4373, mean_absolute_error: 0.0816, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9607, predictive_accuracy: 0.9609, prior_entropy: 0.863, recall: 0.9609, relative_absolute_error: 0.2, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.177, root_relative_squared_error: 0.3918, scimark_benchmark: 1285.3996, usercpu_time_millis: 1241.982, usercpu_time_millis_testing: 74.254, usercpu_time_millis_training: 1167.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9684, kappa: 0.9224, kb_relative_information_score: 29647.1112, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9684, predictive_accuracy: 0.9684, prior_entropy: 0.863, recall: 0.9684, relative_absolute_error: 0.1501, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1569, root_relative_squared_error: 0.3474, scimark_benchmark: 1304.0464, usercpu_time_millis: 1807.867, usercpu_time_millis_testing: 39.941, usercpu_time_millis_training: 1767.926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9538, kappa: 0.8863, kb_relative_information_score: 26960.408, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9538, predictive_accuracy: 0.9541, prior_entropy: 0.863, recall: 0.9541, relative_absolute_error: 0.2352, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1914, root_relative_squared_error: 0.4237, scimark_benchmark: 1261.09, usercpu_time_millis: 1758.877, usercpu_time_millis_testing: 66.045, usercpu_time_millis_training: 1692.832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9651, kappa: 0.9142, kb_relative_information_score: 29076.9016, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.965, predictive_accuracy: 0.9652, prior_entropy: 0.863, recall: 0.9652, relative_absolute_error: 0.1672, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1664, root_relative_squared_error: 0.3683, scimark_benchmark: 1299.6534, usercpu_time_millis: 402.899, usercpu_time_millis_testing: 11.297, usercpu_time_millis_training: 391.602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9562, kappa: 0.8923, kb_relative_information_score: 27488.6514, mean_absolute_error: 0.0886, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9561, predictive_accuracy: 0.9563, prior_entropy: 0.863, recall: 0.9563, relative_absolute_error: 0.217, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1862, root_relative_squared_error: 0.4123, scimark_benchmark: 1250.1331, usercpu_time_millis: 1374.837, usercpu_time_millis_testing: 37.342, usercpu_time_millis_training: 1337.495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.949, kappa: 0.8743, kb_relative_information_score: 26549.2702, mean_absolute_error: 0.0998, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9489, predictive_accuracy: 0.9493, prior_entropy: 0.863, recall: 0.9493, relative_absolute_error: 0.2447, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2002, root_relative_squared_error: 0.4431, scimark_benchmark: 1289.1027, usercpu_time_millis: 3037.927, usercpu_time_millis_testing: 70.737, usercpu_time_millis_training: 2967.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9668, kappa: 0.9184, kb_relative_information_score: 29462.2805, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9667, predictive_accuracy: 0.9668, prior_entropy: 0.863, recall: 0.9668, relative_absolute_error: 0.1548, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1611, root_relative_squared_error: 0.3567, scimark_benchmark: 1279.2446, usercpu_time_millis: 161.035, usercpu_time_millis_testing: 4.899, usercpu_time_millis_training: 156.136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.957, kappa: 0.8944, kb_relative_information_score: 27792.0673, mean_absolute_error: 0.084, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9569, predictive_accuracy: 0.9571, prior_entropy: 0.863, recall: 0.9571, relative_absolute_error: 0.2057, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1845, root_relative_squared_error: 0.4085, scimark_benchmark: 1298.5354, usercpu_time_millis: 4578.862, usercpu_time_millis_testing: 101.351, usercpu_time_millis_training: 4477.511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.962, kappa: 0.9067, kb_relative_information_score: 28622.6212, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.962, predictive_accuracy: 0.9621, prior_entropy: 0.863, recall: 0.9621, relative_absolute_error: 0.1806, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1732, root_relative_squared_error: 0.3834, scimark_benchmark: 1246.3396, usercpu_time_millis: 5400.993, usercpu_time_millis_testing: 87.973, usercpu_time_millis_training: 5313.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9648, kappa: 0.9137, kb_relative_information_score: 28986.8652, mean_absolute_error: 0.0696, 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: 0.1706, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1662, root_relative_squared_error: 0.3679, scimark_benchmark: 1246.7663, usercpu_time_millis: 3207.608, usercpu_time_millis_testing: 68.361, usercpu_time_millis_training: 3139.247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9622, kappa: 0.9072, kb_relative_information_score: 28655.258, mean_absolute_error: 0.0734, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9621, predictive_accuracy: 0.9623, prior_entropy: 0.863, recall: 0.9623, relative_absolute_error: 0.1798, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1723, root_relative_squared_error: 0.3815, scimark_benchmark: 1272.59, usercpu_time_millis: 5636.836, usercpu_time_millis_testing: 78.557, usercpu_time_millis_training: 5558.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9413, kappa: 0.8549, kb_relative_information_score: 25809.9848, mean_absolute_error: 0.109, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9415, predictive_accuracy: 0.9419, prior_entropy: 0.863, recall: 0.9419, relative_absolute_error: 0.2672, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2098, root_relative_squared_error: 0.4644, scimark_benchmark: 1305.2415, usercpu_time_millis: 1989.685, usercpu_time_millis_testing: 74.93, usercpu_time_millis_training: 1914.755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9619, kappa: 0.9065, kb_relative_information_score: 28545.0698, mean_absolute_error: 0.0752, 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: 0.1842, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1732, root_relative_squared_error: 0.3834, scimark_benchmark: 1298.6842, usercpu_time_millis: 1738.479, usercpu_time_millis_testing: 61.848, usercpu_time_millis_training: 1676.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9674, kappa: 0.92, kb_relative_information_score: 29448.3731, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9674, predictive_accuracy: 0.9674, prior_entropy: 0.863, recall: 0.9674, relative_absolute_error: 0.1561, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1603, root_relative_squared_error: 0.3548, scimark_benchmark: 1255.2042, usercpu_time_millis: 4151.92, usercpu_time_millis_testing: 63.017, usercpu_time_millis_training: 4088.903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9561, kappa: 0.8917, kb_relative_information_score: 27324.9273, mean_absolute_error: 0.0913, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9561, predictive_accuracy: 0.9564, prior_entropy: 0.863, recall: 0.9564, relative_absolute_error: 0.2238, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1874, root_relative_squared_error: 0.4148, scimark_benchmark: 1271.8238, usercpu_time_millis: 48.208, usercpu_time_millis_testing: 4.076, usercpu_time_millis_training: 44.132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9634, kappa: 0.9101, kb_relative_information_score: 28827.4104, mean_absolute_error: 0.0716, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9633, predictive_accuracy: 0.9635, prior_entropy: 0.863, recall: 0.9635, relative_absolute_error: 0.1755, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.169, root_relative_squared_error: 0.374, scimark_benchmark: 1269.5406, usercpu_time_millis: 150.94, usercpu_time_millis_testing: 6.922, usercpu_time_millis_training: 144.018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9554, kappa: 0.8902, kb_relative_information_score: 27040.9526, mean_absolute_error: 0.0953, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9554, predictive_accuracy: 0.9556, prior_entropy: 0.863, recall: 0.9556, relative_absolute_error: 0.2336, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1893, root_relative_squared_error: 0.419, scimark_benchmark: 1275.1625, usercpu_time_millis: 1341.394, usercpu_time_millis_testing: 41.477, usercpu_time_millis_training: 1299.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9474, kappa: 0.8696, kb_relative_information_score: 23651.9654, mean_absolute_error: 0.1439, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9481, predictive_accuracy: 0.9482, prior_entropy: 0.863, recall: 0.9482, relative_absolute_error: 0.3527, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2187, root_relative_squared_error: 0.4843, scimark_benchmark: 1253.54, usercpu_time_millis: 1146.322, usercpu_time_millis_testing: 86.028, usercpu_time_millis_training: 1060.294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9532, kappa: 0.8842, kb_relative_information_score: 24835.8187, mean_absolute_error: 0.1288, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9537, predictive_accuracy: 0.9538, prior_entropy: 0.863, recall: 0.9538, relative_absolute_error: 0.3156, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.205, root_relative_squared_error: 0.4538, scimark_benchmark: 1287.3821, usercpu_time_millis: 1377.994, usercpu_time_millis_testing: 100.171, usercpu_time_millis_training: 1277.823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9458, kappa: 0.8663, kb_relative_information_score: 26130.854, mean_absolute_error: 0.1056, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9458, predictive_accuracy: 0.9462, prior_entropy: 0.863, recall: 0.9462, relative_absolute_error: 0.2588, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.204, root_relative_squared_error: 0.4517, scimark_benchmark: 1271.6386, usercpu_time_millis: 2985.407, usercpu_time_millis_testing: 61.445, usercpu_time_millis_training: 2923.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9481, kappa: 0.8727, kb_relative_information_score: 28292.9542, mean_absolute_error: 0.0741, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9481, predictive_accuracy: 0.9482, prior_entropy: 0.863, recall: 0.9482, relative_absolute_error: 0.1816, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.193, root_relative_squared_error: 0.4273, scimark_benchmark: 1281.7369, usercpu_time_millis: 7379.483, usercpu_time_millis_testing: 0.908, usercpu_time_millis_training: 7378.575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9542, kappa: 0.887, kb_relative_information_score: 26299.3673, mean_absolute_error: 0.1067, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9544, predictive_accuracy: 0.9546, prior_entropy: 0.863, recall: 0.9546, relative_absolute_error: 0.2615, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1945, root_relative_squared_error: 0.4305, scimark_benchmark: 1262.7364, usercpu_time_millis: 563.909, usercpu_time_millis_testing: 29.405, usercpu_time_millis_training: 534.504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9624, kappa: 0.9076, kb_relative_information_score: 27873.7393, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9625, predictive_accuracy: 0.9626, prior_entropy: 0.863, recall: 0.9626, relative_absolute_error: 0.211, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1753, root_relative_squared_error: 0.3882, scimark_benchmark: 1304.5259, usercpu_time_millis: 235.299, usercpu_time_millis_testing: 10.306, usercpu_time_millis_training: 224.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9604, kappa: 0.9022, kb_relative_information_score: 26248.8248, mean_absolute_error: 0.1109, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9608, predictive_accuracy: 0.9608, prior_entropy: 0.863, recall: 0.9608, relative_absolute_error: 0.2718, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1873, root_relative_squared_error: 0.4146, scimark_benchmark: 1240.1504, usercpu_time_millis: 468.969, usercpu_time_millis_testing: 27.258, usercpu_time_millis_training: 441.711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9524, kappa: 0.8821, kb_relative_information_score: 24546.7854, mean_absolute_error: 0.1326, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9529, predictive_accuracy: 0.9529, prior_entropy: 0.863, recall: 0.9529, relative_absolute_error: 0.3249, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2081, root_relative_squared_error: 0.4606, scimark_benchmark: 1263.3257, usercpu_time_millis: 812.814, usercpu_time_millis_testing: 57.53, usercpu_time_millis_training: 755.284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9307, kappa: 0.8274, kb_relative_information_score: 24458.9156, mean_absolute_error: 0.1264, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9319, predictive_accuracy: 0.932, prior_entropy: 0.863, recall: 0.932, relative_absolute_error: 0.3097, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2258, root_relative_squared_error: 0.5, scimark_benchmark: 1252.2602, usercpu_time_millis: 1979.857, usercpu_time_millis_testing: 58.904, usercpu_time_millis_training: 1920.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9601, kappa: 0.9019, kb_relative_information_score: 28370.6938, mean_absolute_error: 0.0771, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.96, predictive_accuracy: 0.9602, prior_entropy: 0.863, recall: 0.9602, relative_absolute_error: 0.1889, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1765, root_relative_squared_error: 0.3907, scimark_benchmark: 1254.8404, usercpu_time_millis: 2224.153, usercpu_time_millis_testing: 77.188, usercpu_time_millis_training: 2146.965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9633, kappa: 0.9094, kb_relative_information_score: 26752.6862, mean_absolute_error: 0.1045, 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: 0.2561, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1805, root_relative_squared_error: 0.3996, scimark_benchmark: 1260.4103, usercpu_time_millis: 585.942, usercpu_time_millis_testing: 30.35, usercpu_time_millis_training: 555.592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9426, kappa: 0.8583, kb_relative_information_score: 25791.7214, mean_absolute_error: 0.1094, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9427, predictive_accuracy: 0.9431, prior_entropy: 0.863, recall: 0.9431, relative_absolute_error: 0.268, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2094, root_relative_squared_error: 0.4636, scimark_benchmark: 1262.6112, usercpu_time_millis: 102.808, usercpu_time_millis_testing: 3.597, usercpu_time_millis_training: 99.211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9634, kappa: 0.91, kb_relative_information_score: 28832.9131, mean_absolute_error: 0.0713, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9633, predictive_accuracy: 0.9634, prior_entropy: 0.863, recall: 0.9634, relative_absolute_error: 0.1748, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1697, root_relative_squared_error: 0.3758, scimark_benchmark: 1273.2963, usercpu_time_millis: 3529.508, usercpu_time_millis_testing: 97.362, usercpu_time_millis_training: 3432.146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9616, kappa: 0.9056, kb_relative_information_score: 28485.4679, mean_absolute_error: 0.0758, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9615, predictive_accuracy: 0.9617, prior_entropy: 0.863, recall: 0.9617, relative_absolute_error: 0.1859, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1743, root_relative_squared_error: 0.3858, scimark_benchmark: 1261.0781, usercpu_time_millis: 2318.32, usercpu_time_millis_testing: 83.957, usercpu_time_millis_training: 2234.363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9656, kappa: 0.9155, kb_relative_information_score: 29144.1551, mean_absolute_error: 0.0677, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9655, predictive_accuracy: 0.9656, prior_entropy: 0.863, recall: 0.9656, relative_absolute_error: 0.1659, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.164, root_relative_squared_error: 0.3631, scimark_benchmark: 1270.2097, usercpu_time_millis: 3521.026, usercpu_time_millis_testing: 73.136, usercpu_time_millis_training: 3447.89,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.9321, kappa: 0.8315, kb_relative_information_score: 24213.8854, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9325, predictive_accuracy: 0.933, prior_entropy: 0.863, recall: 0.933, relative_absolute_error: 0.3166, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2288, root_relative_squared_error: 0.5065, scimark_benchmark: 1258.1932, usercpu_time_millis: 42.176, usercpu_time_millis_testing: 2.811, usercpu_time_millis_training: 39.365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9557, kappa: 0.8914, kb_relative_information_score: 27755.6905, mean_absolute_error: 0.084, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9557, predictive_accuracy: 0.9558, prior_entropy: 0.863, recall: 0.9558, relative_absolute_error: 0.2059, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1864, root_relative_squared_error: 0.4127, scimark_benchmark: 1240.4492, usercpu_time_millis: 692.752, usercpu_time_millis_testing: 14.806, usercpu_time_millis_training: 677.946,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9181, kappa: 0.7937, kb_relative_information_score: 18205.0087, mean_absolute_error: 0.2159, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9241, predictive_accuracy: 0.9212, prior_entropy: 0.863, recall: 0.9212, relative_absolute_error: 0.5291, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2736, root_relative_squared_error: 0.6056, scimark_benchmark: 1286.7747, usercpu_time_millis: 111.719, usercpu_time_millis_testing: 8.319, usercpu_time_millis_training: 103.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9629, kappa: 0.909, kb_relative_information_score: 28753.5043, mean_absolute_error: 0.0722, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9629, predictive_accuracy: 0.963, prior_entropy: 0.863, recall: 0.963, relative_absolute_error: 0.177, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1711, root_relative_squared_error: 0.3787, scimark_benchmark: 1256.3489, usercpu_time_millis: 4605.797, usercpu_time_millis_testing: 93.189, usercpu_time_millis_training: 4512.608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9675, kappa: 0.9202, kb_relative_information_score: 29330.4869, mean_absolute_error: 0.0657, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9675, predictive_accuracy: 0.9676, prior_entropy: 0.863, recall: 0.9676, relative_absolute_error: 0.1609, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1601, root_relative_squared_error: 0.3543, scimark_benchmark: 1313.5973, usercpu_time_millis: 492.146, usercpu_time_millis_testing: 14.528, usercpu_time_millis_training: 477.618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9482, kappa: 0.8722, kb_relative_information_score: 26480.0947, mean_absolute_error: 0.101, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9481, predictive_accuracy: 0.9485, prior_entropy: 0.863, recall: 0.9485, relative_absolute_error: 0.2474, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2011, root_relative_squared_error: 0.4452, scimark_benchmark: 1329.9905, usercpu_time_millis: 1477.319, usercpu_time_millis_testing: 62.426, usercpu_time_millis_training: 1414.893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9388, kappa: 0.8483, kb_relative_information_score: 25091.9801, mean_absolute_error: 0.1194, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9392, predictive_accuracy: 0.9396, prior_entropy: 0.863, recall: 0.9396, relative_absolute_error: 0.2925, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.216, root_relative_squared_error: 0.4782, scimark_benchmark: 1315.3, usercpu_time_millis: 1276.971, usercpu_time_millis_testing: 58.18, usercpu_time_millis_training: 1218.791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9331, kappa: 0.8337, kb_relative_information_score: 24210.1251, mean_absolute_error: 0.1313, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9341, predictive_accuracy: 0.9343, prior_entropy: 0.863, recall: 0.9343, relative_absolute_error: 0.3217, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2247, root_relative_squared_error: 0.4975, scimark_benchmark: 1300.908, usercpu_time_millis: 1911.073, usercpu_time_millis_testing: 62.392, usercpu_time_millis_training: 1848.681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9455, kappa: 0.8652, kb_relative_information_score: 25889.0316, mean_absolute_error: 0.1095, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9456, predictive_accuracy: 0.9459, prior_entropy: 0.863, recall: 0.9459, relative_absolute_error: 0.2682, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2054, root_relative_squared_error: 0.4547, scimark_benchmark: 1273.4147, usercpu_time_millis: 1128.071, usercpu_time_millis_testing: 28.914, usercpu_time_millis_training: 1099.157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9656, kappa: 0.9155, kb_relative_information_score: 28701.2027, mean_absolute_error: 0.0748, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9656, predictive_accuracy: 0.9657, prior_entropy: 0.863, recall: 0.9657, relative_absolute_error: 0.1834, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1657, root_relative_squared_error: 0.3668, scimark_benchmark: 1261.0046, usercpu_time_millis: 1588.914, usercpu_time_millis_testing: 55.069, usercpu_time_millis_training: 1533.845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.963, kappa: 0.909, kb_relative_information_score: 28640.0036, mean_absolute_error: 0.0741, 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: 0.1816, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1713, root_relative_squared_error: 0.3792, scimark_benchmark: 1252.6474, usercpu_time_millis: 1767.432, usercpu_time_millis_testing: 67.956, usercpu_time_millis_training: 1699.476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9611, kappa: 0.9044, kb_relative_information_score: 28446.8151, mean_absolute_error: 0.0763, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9611, predictive_accuracy: 0.9612, prior_entropy: 0.863, recall: 0.9612, relative_absolute_error: 0.1869, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1749, root_relative_squared_error: 0.3872, scimark_benchmark: 1315.9936, usercpu_time_millis: 2966.18, usercpu_time_millis_testing: 98.089, usercpu_time_millis_training: 2868.091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.926, kappa: 0.8167, kb_relative_information_score: 23495.377, mean_absolute_error: 0.1383, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9261, predictive_accuracy: 0.9268, prior_entropy: 0.863, recall: 0.9268, relative_absolute_error: 0.3388, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2361, root_relative_squared_error: 0.5227, scimark_benchmark: 1278.4132, usercpu_time_millis: 12222.617, usercpu_time_millis_testing: 1.086, usercpu_time_millis_training: 12221.531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9384, kappa: 0.8485, kb_relative_information_score: 26193.9565, mean_absolute_error: 0.1022, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9383, predictive_accuracy: 0.9387, prior_entropy: 0.863, recall: 0.9387, relative_absolute_error: 0.2505, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2135, root_relative_squared_error: 0.4727, scimark_benchmark: 1255.0943, usercpu_time_millis: 11012.058, usercpu_time_millis_testing: 1.157, usercpu_time_millis_training: 11010.901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9645, kappa: 0.9128, kb_relative_information_score: 28805.9414, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9645, predictive_accuracy: 0.9646, prior_entropy: 0.863, recall: 0.9646, relative_absolute_error: 0.1777, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1672, root_relative_squared_error: 0.3701, scimark_benchmark: 1262.9252, usercpu_time_millis: 2261.136, usercpu_time_millis_testing: 70.964, usercpu_time_millis_training: 2190.172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.954, kappa: 0.8861, kb_relative_information_score: 24999.8381, mean_absolute_error: 0.1268, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9544, predictive_accuracy: 0.9545, prior_entropy: 0.863, recall: 0.9545, relative_absolute_error: 0.3106, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2029, root_relative_squared_error: 0.4491, scimark_benchmark: 1296.4641, usercpu_time_millis: 719.691, usercpu_time_millis_testing: 52.504, usercpu_time_millis_training: 667.187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9292, kappa: 0.8223, kb_relative_information_score: 19099.4396, mean_absolute_error: 0.2068, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9338, predictive_accuracy: 0.9315, prior_entropy: 0.863, recall: 0.9315, relative_absolute_error: 0.5067, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2632, root_relative_squared_error: 0.5827, scimark_benchmark: 1289.8362, usercpu_time_millis: 1189.01, usercpu_time_millis_testing: 83.588, usercpu_time_millis_training: 1105.422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9367, kappa: 0.8428, kb_relative_information_score: 24147.4904, mean_absolute_error: 0.1332, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9374, predictive_accuracy: 0.9376, prior_entropy: 0.863, recall: 0.9376, relative_absolute_error: 0.3263, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2227, root_relative_squared_error: 0.493, scimark_benchmark: 1254.3274, usercpu_time_millis: 1241.198, usercpu_time_millis_testing: 54.489, usercpu_time_millis_training: 1186.709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.961, kappa: 0.904, kb_relative_information_score: 28218.3589, mean_absolute_error: 0.0798, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9609, predictive_accuracy: 0.9611, prior_entropy: 0.863, recall: 0.9611, relative_absolute_error: 0.1956, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1759, root_relative_squared_error: 0.3894, scimark_benchmark: 1323.5049, usercpu_time_millis: 1900.173, usercpu_time_millis_testing: 71.7, usercpu_time_millis_training: 1828.473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9612, kappa: 0.9048, kb_relative_information_score: 28587.1032, mean_absolute_error: 0.0742, 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: 0.1818, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1738, root_relative_squared_error: 0.3848, scimark_benchmark: 1301.8904, usercpu_time_millis: 865.703, usercpu_time_millis_testing: 22.187, usercpu_time_millis_training: 843.516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.957, kappa: 0.8942, kb_relative_information_score: 27509.0215, mean_absolute_error: 0.0886, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9569, predictive_accuracy: 0.9571, prior_entropy: 0.863, recall: 0.9571, relative_absolute_error: 0.2172, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1852, root_relative_squared_error: 0.41, scimark_benchmark: 1314.1293, usercpu_time_millis: 2361.108, usercpu_time_millis_testing: 64.204, usercpu_time_millis_training: 2296.904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9679, kappa: 0.9212, kb_relative_information_score: 29705.4452, mean_absolute_error: 0.0601, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9678, predictive_accuracy: 0.9679, prior_entropy: 0.863, recall: 0.9679, relative_absolute_error: 0.1472, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1577, root_relative_squared_error: 0.3491, scimark_benchmark: 1233.6141, usercpu_time_millis: 621.201, usercpu_time_millis_testing: 10.458, usercpu_time_millis_training: 610.743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9321, kappa: 0.8297, kb_relative_information_score: 19361.0361, mean_absolute_error: 0.2033, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9361, predictive_accuracy: 0.9341, prior_entropy: 0.863, recall: 0.9341, relative_absolute_error: 0.4982, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2604, root_relative_squared_error: 0.5766, scimark_benchmark: 1322.6649, usercpu_time_millis: 487.29, usercpu_time_millis_testing: 34.71, usercpu_time_millis_training: 452.58,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9627, kappa: 0.9085, kb_relative_information_score: 28966.3572, mean_absolute_error: 0.0691, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9627, predictive_accuracy: 0.9628, prior_entropy: 0.863, recall: 0.9628, relative_absolute_error: 0.1693, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1709, root_relative_squared_error: 0.3783, scimark_benchmark: 1246.9947, usercpu_time_millis: 4733.503, usercpu_time_millis_testing: 41.215, usercpu_time_millis_training: 4692.288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9494, kappa: 0.8745, kb_relative_information_score: 23975.937, mean_absolute_error: 0.1396, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.95, predictive_accuracy: 0.95, prior_entropy: 0.863, recall: 0.95, relative_absolute_error: 0.342, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2154, root_relative_squared_error: 0.4769, scimark_benchmark: 1292.7569, usercpu_time_millis: 611.426, usercpu_time_millis_testing: 32.09, usercpu_time_millis_training: 579.336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9654, kappa: 0.9149, kb_relative_information_score: 28793.4795, mean_absolute_error: 0.073, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9653, predictive_accuracy: 0.9655, prior_entropy: 0.863, recall: 0.9655, relative_absolute_error: 0.1789, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1663, root_relative_squared_error: 0.3681, scimark_benchmark: 1244.8155, usercpu_time_millis: 1561.381, usercpu_time_millis_testing: 65.938, usercpu_time_millis_training: 1495.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9645, kappa: 0.9128, kb_relative_information_score: 29157.3726, mean_absolute_error: 0.0669, 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: 0.164, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1658, root_relative_squared_error: 0.3671, scimark_benchmark: 1320.6266, usercpu_time_millis: 780.522, usercpu_time_millis_testing: 12.518, usercpu_time_millis_training: 768.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.966, kappa: 0.9166, kb_relative_information_score: 29214.542, mean_absolute_error: 0.0668, 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: 0.1637, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.163, root_relative_squared_error: 0.3609, scimark_benchmark: 1301.419, usercpu_time_millis: 2977.893, usercpu_time_millis_testing: 74.51, usercpu_time_millis_training: 2903.383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.9151, kappa: 0.7888, kb_relative_information_score: 19436.1518, mean_absolute_error: 0.1977, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9156, predictive_accuracy: 0.9165, prior_entropy: 0.863, recall: 0.9165, relative_absolute_error: 0.4846, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2606, root_relative_squared_error: 0.5769, scimark_benchmark: 1271.3967, usercpu_time_millis: 5814.573, usercpu_time_millis_testing: 24.053, usercpu_time_millis_training: 5790.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9673, kappa: 0.9196, kb_relative_information_score: 29088.0683, mean_absolute_error: 0.0694, 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: 0.1699, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1617, root_relative_squared_error: 0.3579, scimark_benchmark: 1270.0483, usercpu_time_millis: 649.911, usercpu_time_millis_testing: 24.306, usercpu_time_millis_training: 625.605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9791, f_measure: 0.9188, kappa: 0.7965, kb_relative_information_score: 17300.9264, mean_absolute_error: 0.223, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9219, predictive_accuracy: 0.9211, prior_entropy: 0.863, recall: 0.9211, relative_absolute_error: 0.5464, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2834, root_relative_squared_error: 0.6274, scimark_benchmark: 1322.3897, usercpu_time_millis: 803.893, usercpu_time_millis_testing: 65.645, usercpu_time_millis_training: 738.248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9611, kappa: 0.9044, kb_relative_information_score: 28493.684, mean_absolute_error: 0.0754, 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: 0.1847, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.175, root_relative_squared_error: 0.3873, scimark_benchmark: 1263.4322, usercpu_time_millis: 4985.948, usercpu_time_millis_testing: 95.415, usercpu_time_millis_training: 4890.533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9473, kappa: 0.8704, kb_relative_information_score: 26648.6968, mean_absolute_error: 0.0976, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9472, predictive_accuracy: 0.9475, prior_entropy: 0.863, recall: 0.9475, relative_absolute_error: 0.2392, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2014, root_relative_squared_error: 0.4459, scimark_benchmark: 1274.3509, usercpu_time_millis: 6971.101, usercpu_time_millis_testing: 83.223, usercpu_time_millis_training: 6887.878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9583, kappa: 0.8975, kb_relative_information_score: 28125.4607, mean_absolute_error: 0.0798, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9582, predictive_accuracy: 0.9583, prior_entropy: 0.863, recall: 0.9583, relative_absolute_error: 0.1954, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1809, root_relative_squared_error: 0.4004, scimark_benchmark: 1318.1074, usercpu_time_millis: 737.233, usercpu_time_millis_testing: 20.894, usercpu_time_millis_training: 716.339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9226, kappa: 0.8064, kb_relative_information_score: 18001.0634, mean_absolute_error: 0.2144, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9252, predictive_accuracy: 0.9246, prior_entropy: 0.863, recall: 0.9246, relative_absolute_error: 0.5254, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2766, root_relative_squared_error: 0.6124, scimark_benchmark: 1280.7272, usercpu_time_millis: 104.986, usercpu_time_millis_testing: 7.74, usercpu_time_millis_training: 97.246,

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