Task
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: 0.9941, f_measure: 0.9651, kappa: 0.9143, kb_relative_information_score: 28677.0667, mean_absolute_error: 0.075, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9651, predictive_accuracy: 0.9653, prior_entropy: 0.863, recall: 0.9653, relative_absolute_error: 0.1837, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1666, root_relative_squared_error: 0.3687, scimark_benchmark: 1265.5748, usercpu_time_millis: 342.64, usercpu_time_millis_testing: 15.414, usercpu_time_millis_training: 327.226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9538, kappa: 0.8863, kb_relative_information_score: 27017.3962, mean_absolute_error: 0.0946, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9537, predictive_accuracy: 0.954, prior_entropy: 0.863, recall: 0.954, relative_absolute_error: 0.2319, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.4258, scimark_benchmark: 1269.5397, usercpu_time_millis: 1675.49, usercpu_time_millis_testing: 40.747, usercpu_time_millis_training: 1634.743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9575, kappa: 0.8954, kb_relative_information_score: 27741.3351, mean_absolute_error: 0.0854, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9574, predictive_accuracy: 0.9576, prior_entropy: 0.863, recall: 0.9576, relative_absolute_error: 0.2094, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1835, root_relative_squared_error: 0.4061, scimark_benchmark: 1316.4572, usercpu_time_millis: 2021.182, usercpu_time_millis_testing: 95.679, usercpu_time_millis_training: 1925.503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.9266, kappa: 0.8169, kb_relative_information_score: 22754.7453, mean_absolute_error: 0.1513, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9283, predictive_accuracy: 0.9282, prior_entropy: 0.863, recall: 0.9282, relative_absolute_error: 0.3707, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2367, root_relative_squared_error: 0.524, scimark_benchmark: 1318.2636, usercpu_time_millis: 639.236, usercpu_time_millis_testing: 27.992, usercpu_time_millis_training: 611.244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9386, kappa: 0.8482, kb_relative_information_score: 25566.6324, mean_absolute_error: 0.1113, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9389, predictive_accuracy: 0.9393, prior_entropy: 0.863, recall: 0.9393, relative_absolute_error: 0.2726, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2148, root_relative_squared_error: 0.4755, scimark_benchmark: 1314.0401, usercpu_time_millis: 2575.242, usercpu_time_millis_testing: 72.161, usercpu_time_millis_training: 2503.081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.9357, kappa: 0.8402, kb_relative_information_score: 21988.7171, mean_absolute_error: 0.1631, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9365, predictive_accuracy: 0.9367, prior_entropy: 0.863, recall: 0.9367, relative_absolute_error: 0.3996, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2393, root_relative_squared_error: 0.5298, scimark_benchmark: 1252.4905, usercpu_time_millis: 121.064, usercpu_time_millis_testing: 7.224, usercpu_time_millis_training: 113.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9448, kappa: 0.8633, kb_relative_information_score: 24919.0041, mean_absolute_error: 0.1243, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9452, predictive_accuracy: 0.9455, prior_entropy: 0.863, recall: 0.9455, relative_absolute_error: 0.3047, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2112, root_relative_squared_error: 0.4677, scimark_benchmark: 1255.5027, usercpu_time_millis: 587.015, usercpu_time_millis_testing: 24.792, usercpu_time_millis_training: 562.223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9534, kappa: 0.8855, kb_relative_information_score: 27148.3091, mean_absolute_error: 0.0926, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9534, predictive_accuracy: 0.9536, prior_entropy: 0.863, recall: 0.9536, relative_absolute_error: 0.227, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1918, root_relative_squared_error: 0.4246, scimark_benchmark: 1253.1441, usercpu_time_millis: 77.833, usercpu_time_millis_testing: 3.599, usercpu_time_millis_training: 74.234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9531, kappa: 0.8843, kb_relative_information_score: 26481.4136, mean_absolute_error: 0.1031, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9532, predictive_accuracy: 0.9534, prior_entropy: 0.863, recall: 0.9534, relative_absolute_error: 0.2527, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.195, root_relative_squared_error: 0.4317, scimark_benchmark: 1269.708, usercpu_time_millis: 822.525, usercpu_time_millis_testing: 26.028, usercpu_time_millis_training: 796.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9514, kappa: 0.88, kb_relative_information_score: 26474.3045, mean_absolute_error: 0.1023, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9514, predictive_accuracy: 0.9517, prior_entropy: 0.863, recall: 0.9517, relative_absolute_error: 0.2506, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1974, root_relative_squared_error: 0.437, scimark_benchmark: 1267.0684, usercpu_time_millis: 2468.472, usercpu_time_millis_testing: 86.813, usercpu_time_millis_training: 2381.659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.968, kappa: 0.9216, kb_relative_information_score: 29684.6193, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.968, predictive_accuracy: 0.9681, prior_entropy: 0.863, recall: 0.9681, relative_absolute_error: 0.1485, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1572, root_relative_squared_error: 0.348, scimark_benchmark: 1256.3231, usercpu_time_millis: 2120.183, usercpu_time_millis_testing: 28.348, usercpu_time_millis_training: 2091.835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9502, kappa: 0.8765, kb_relative_information_score: 24083.7462, mean_absolute_error: 0.1383, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9508, predictive_accuracy: 0.9508, prior_entropy: 0.863, recall: 0.9508, relative_absolute_error: 0.339, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2139, root_relative_squared_error: 0.4736, scimark_benchmark: 1257.7898, usercpu_time_millis: 1076.57, usercpu_time_millis_testing: 56.291, usercpu_time_millis_training: 1020.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.946, kappa: 0.8667, kb_relative_information_score: 26119.1813, mean_absolute_error: 0.1058, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9461, predictive_accuracy: 0.9465, prior_entropy: 0.863, recall: 0.9465, relative_absolute_error: 0.2592, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2042, root_relative_squared_error: 0.452, scimark_benchmark: 1269.3722, usercpu_time_millis: 619.429, usercpu_time_millis_testing: 15.956, usercpu_time_millis_training: 603.473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9319, kappa: 0.8303, kb_relative_information_score: 20008.3797, mean_absolute_error: 0.1892, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9332, predictive_accuracy: 0.9332, prior_entropy: 0.863, recall: 0.9332, relative_absolute_error: 0.4636, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2571, root_relative_squared_error: 0.5691, scimark_benchmark: 1240.3765, usercpu_time_millis: 117.255, usercpu_time_millis_testing: 8.382, usercpu_time_millis_training: 108.873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9372, kappa: 0.8441, kb_relative_information_score: 24510.2031, mean_absolute_error: 0.1279, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9378, predictive_accuracy: 0.9381, prior_entropy: 0.863, recall: 0.9381, relative_absolute_error: 0.3134, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2201, root_relative_squared_error: 0.4874, scimark_benchmark: 1266.3414, usercpu_time_millis: 958.712, usercpu_time_millis_testing: 52.697, usercpu_time_millis_training: 906.015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9496, kappa: 0.8756, kb_relative_information_score: 26214.0542, mean_absolute_error: 0.1056, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9497, predictive_accuracy: 0.95, prior_entropy: 0.863, recall: 0.95, relative_absolute_error: 0.2589, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2004, root_relative_squared_error: 0.4436, scimark_benchmark: 1283.9084, usercpu_time_millis: 2202.691, usercpu_time_millis_testing: 58.797, usercpu_time_millis_training: 2143.894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9671, kappa: 0.9191, kb_relative_information_score: 28875.6279, mean_absolute_error: 0.0726, 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: 0.178, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1628, root_relative_squared_error: 0.3603, scimark_benchmark: 1254.8377, usercpu_time_millis: 197.715, usercpu_time_millis_testing: 10.348, usercpu_time_millis_training: 187.367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.959, kappa: 0.8989, kb_relative_information_score: 26777.8245, mean_absolute_error: 0.1015, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9592, predictive_accuracy: 0.9594, prior_entropy: 0.863, recall: 0.9594, relative_absolute_error: 0.2487, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1865, root_relative_squared_error: 0.4128, scimark_benchmark: 1229.3257, usercpu_time_millis: 910.341, usercpu_time_millis_testing: 39.791, usercpu_time_millis_training: 870.55,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9511, kappa: 0.8792, kb_relative_information_score: 25539.7048, mean_absolute_error: 0.1168, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9513, predictive_accuracy: 0.9516, prior_entropy: 0.863, recall: 0.9516, relative_absolute_error: 0.2862, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.203, root_relative_squared_error: 0.4494, scimark_benchmark: 1288.2118, usercpu_time_millis: 618.75, usercpu_time_millis_testing: 35.733, usercpu_time_millis_training: 583.017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9558, kappa: 0.8914, kb_relative_information_score: 27722.7217, mean_absolute_error: 0.0847, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9557, predictive_accuracy: 0.9559, prior_entropy: 0.863, recall: 0.9559, relative_absolute_error: 0.2077, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.186, root_relative_squared_error: 0.4119, scimark_benchmark: 1301.389, usercpu_time_millis: 2097.369, usercpu_time_millis_testing: 53.488, usercpu_time_millis_training: 2043.881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9298, kappa: 0.8238, kb_relative_information_score: 19126.3671, mean_absolute_error: 0.2064, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9342, predictive_accuracy: 0.932, prior_entropy: 0.863, recall: 0.932, relative_absolute_error: 0.5057, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2629, root_relative_squared_error: 0.582, scimark_benchmark: 1269.4289, usercpu_time_millis: 481.298, usercpu_time_millis_testing: 35.681, usercpu_time_millis_training: 445.617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9593, kappa: 0.9, kb_relative_information_score: 28291.0957, mean_absolute_error: 0.0778, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9592, predictive_accuracy: 0.9594, prior_entropy: 0.863, recall: 0.9594, relative_absolute_error: 0.1907, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1782, root_relative_squared_error: 0.3946, scimark_benchmark: 1269.3618, usercpu_time_millis: 353.304, usercpu_time_millis_testing: 9.707, usercpu_time_millis_training: 343.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9596, kappa: 0.9008, kb_relative_information_score: 28329.5035, mean_absolute_error: 0.0768, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9595, predictive_accuracy: 0.9596, prior_entropy: 0.863, recall: 0.9596, relative_absolute_error: 0.1883, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1786, root_relative_squared_error: 0.3954, scimark_benchmark: 1305.1348, usercpu_time_millis: 244.374, usercpu_time_millis_testing: 6.89, usercpu_time_millis_training: 237.484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9569, kappa: 0.8943, kb_relative_information_score: 27896.0869, mean_absolute_error: 0.0823, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9569, predictive_accuracy: 0.957, prior_entropy: 0.863, recall: 0.957, relative_absolute_error: 0.2017, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1843, root_relative_squared_error: 0.4079, scimark_benchmark: 1298.967, usercpu_time_millis: 2708.238, usercpu_time_millis_testing: 33.865, usercpu_time_millis_training: 2674.373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9566, kappa: 0.8933, kb_relative_information_score: 27567.0756, mean_absolute_error: 0.0871, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9565, predictive_accuracy: 0.9567, prior_entropy: 0.863, recall: 0.9567, relative_absolute_error: 0.2135, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1864, root_relative_squared_error: 0.4126, scimark_benchmark: 1316.2111, usercpu_time_millis: 2968.77, usercpu_time_millis_testing: 58.22, usercpu_time_millis_training: 2910.55,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9373, kappa: 0.8444, kb_relative_information_score: 24101.2848, mean_absolute_error: 0.1337, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9379, predictive_accuracy: 0.9382, prior_entropy: 0.863, recall: 0.9382, relative_absolute_error: 0.3277, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2229, root_relative_squared_error: 0.4934, scimark_benchmark: 1299.1778, usercpu_time_millis: 82.197, usercpu_time_millis_testing: 3.609, usercpu_time_millis_training: 78.588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9569, kappa: 0.894, kb_relative_information_score: 27861.7907, mean_absolute_error: 0.083, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9568, predictive_accuracy: 0.9569, prior_entropy: 0.863, recall: 0.9569, relative_absolute_error: 0.2035, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1839, root_relative_squared_error: 0.407, scimark_benchmark: 1263.299, usercpu_time_millis: 1582.681, usercpu_time_millis_testing: 37.858, usercpu_time_millis_training: 1544.823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9595, kappa: 0.9007, kb_relative_information_score: 28282.4112, mean_absolute_error: 0.0776, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9595, predictive_accuracy: 0.9596, prior_entropy: 0.863, recall: 0.9596, relative_absolute_error: 0.1903, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1785, root_relative_squared_error: 0.3951, scimark_benchmark: 1256.8353, usercpu_time_millis: 3271.753, usercpu_time_millis_testing: 52.234, usercpu_time_millis_training: 3219.519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.9311, kappa: 0.8286, kb_relative_information_score: 21429.8984, mean_absolute_error: 0.1699, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9322, predictive_accuracy: 0.9324, prior_entropy: 0.863, recall: 0.9324, relative_absolute_error: 0.4162, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2449, root_relative_squared_error: 0.5422, scimark_benchmark: 1310.4837, usercpu_time_millis: 517.663, usercpu_time_millis_testing: 37.92, usercpu_time_millis_training: 479.743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9406, kappa: 0.853, kb_relative_information_score: 25208.713, mean_absolute_error: 0.1184, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.941, predictive_accuracy: 0.9413, prior_entropy: 0.863, recall: 0.9413, relative_absolute_error: 0.2901, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.213, root_relative_squared_error: 0.4715, scimark_benchmark: 1253.672, usercpu_time_millis: 1061.209, usercpu_time_millis_testing: 32.473, usercpu_time_millis_training: 1028.736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9382, kappa: 0.8465, kb_relative_information_score: 23772.4916, mean_absolute_error: 0.139, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9388, predictive_accuracy: 0.9391, prior_entropy: 0.863, recall: 0.9391, relative_absolute_error: 0.3407, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2242, root_relative_squared_error: 0.4963, scimark_benchmark: 1276.0247, usercpu_time_millis: 1451.834, usercpu_time_millis_testing: 59.568, usercpu_time_millis_training: 1392.266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9546, kappa: 0.8884, kb_relative_information_score: 27444.8608, mean_absolute_error: 0.088, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9545, predictive_accuracy: 0.9547, prior_entropy: 0.863, recall: 0.9547, relative_absolute_error: 0.2157, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.19, root_relative_squared_error: 0.4206, scimark_benchmark: 1290.8564, usercpu_time_millis: 1670.811, usercpu_time_millis_testing: 28.077, usercpu_time_millis_training: 1642.734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9448, kappa: 0.8631, kb_relative_information_score: 23696.7995, mean_absolute_error: 0.142, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9454, predictive_accuracy: 0.9455, prior_entropy: 0.863, recall: 0.9455, relative_absolute_error: 0.348, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.221, root_relative_squared_error: 0.4893, scimark_benchmark: 1316.6206, usercpu_time_millis: 375.074, usercpu_time_millis_testing: 17.012, usercpu_time_millis_training: 358.062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9584, kappa: 0.8977, kb_relative_information_score: 27896.7336, mean_absolute_error: 0.0832, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9583, predictive_accuracy: 0.9585, prior_entropy: 0.863, recall: 0.9585, relative_absolute_error: 0.2039, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1819, root_relative_squared_error: 0.4027, scimark_benchmark: 1319.823, usercpu_time_millis: 807.428, usercpu_time_millis_testing: 25.108, usercpu_time_millis_training: 782.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9553, kappa: 0.8903, kb_relative_information_score: 27554.2519, mean_absolute_error: 0.0869, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9553, predictive_accuracy: 0.9554, prior_entropy: 0.863, recall: 0.9554, relative_absolute_error: 0.213, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.188, root_relative_squared_error: 0.4163, scimark_benchmark: 1297.5513, usercpu_time_millis: 1230.694, usercpu_time_millis_testing: 32.136, usercpu_time_millis_training: 1198.558,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.9272, kappa: 0.8187, kb_relative_information_score: 20711.2228, mean_absolute_error: 0.1786, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9284, predictive_accuracy: 0.9286, prior_entropy: 0.863, recall: 0.9286, relative_absolute_error: 0.4377, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2522, root_relative_squared_error: 0.5584, scimark_benchmark: 1302.7528, usercpu_time_millis: 485.818, usercpu_time_millis_testing: 31.492, usercpu_time_millis_training: 454.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9658, kappa: 0.9159, kb_relative_information_score: 29237.1622, mean_absolute_error: 0.0662, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9657, predictive_accuracy: 0.9658, prior_entropy: 0.863, recall: 0.9658, relative_absolute_error: 0.1623, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1638, root_relative_squared_error: 0.3627, scimark_benchmark: 1291.8264, usercpu_time_millis: 2769.364, usercpu_time_millis_testing: 65.007, usercpu_time_millis_training: 2704.357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.948, kappa: 0.8718, kb_relative_information_score: 26534.6572, mean_absolute_error: 0.0999, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9479, predictive_accuracy: 0.9482, prior_entropy: 0.863, recall: 0.9482, relative_absolute_error: 0.2447, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2015, root_relative_squared_error: 0.446, scimark_benchmark: 1271.0701, usercpu_time_millis: 60.01, usercpu_time_millis_testing: 4.313, usercpu_time_millis_training: 55.697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9495, kappa: 0.8749, kb_relative_information_score: 24843.4615, mean_absolute_error: 0.1268, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9499, predictive_accuracy: 0.95, prior_entropy: 0.863, recall: 0.95, relative_absolute_error: 0.3108, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2087, root_relative_squared_error: 0.4621, scimark_benchmark: 1287.0359, usercpu_time_millis: 1257.37, usercpu_time_millis_testing: 66.284, usercpu_time_millis_training: 1191.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9558, kappa: 0.8914, kb_relative_information_score: 27711.1481, mean_absolute_error: 0.0849, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9557, predictive_accuracy: 0.9559, prior_entropy: 0.863, recall: 0.9559, relative_absolute_error: 0.208, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1869, root_relative_squared_error: 0.4137, scimark_benchmark: 1247.5868, usercpu_time_millis: 241.081, usercpu_time_millis_testing: 8.124, usercpu_time_millis_training: 232.957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9614, kappa: 0.905, kb_relative_information_score: 28091.6862, mean_absolute_error: 0.0822, 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: 0.2015, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1752, root_relative_squared_error: 0.388, scimark_benchmark: 1274.3229, usercpu_time_millis: 864.82, usercpu_time_millis_testing: 31.663, usercpu_time_millis_training: 833.157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9413, kappa: 0.8547, kb_relative_information_score: 25465.0706, mean_absolute_error: 0.1145, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9416, predictive_accuracy: 0.9419, prior_entropy: 0.863, recall: 0.9419, relative_absolute_error: 0.2806, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.211, root_relative_squared_error: 0.4672, scimark_benchmark: 1257.0601, usercpu_time_millis: 3748.489, usercpu_time_millis_testing: 83.274, usercpu_time_millis_training: 3665.215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9667, kappa: 0.9181, kb_relative_information_score: 28670.5457, mean_absolute_error: 0.0757, 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: 0.1854, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1646, root_relative_squared_error: 0.3644, scimark_benchmark: 1271.3853, usercpu_time_millis: 487.659, usercpu_time_millis_testing: 22.926, usercpu_time_millis_training: 464.733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9427, kappa: 0.8585, kb_relative_information_score: 26025.0022, mean_absolute_error: 0.1056, 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: 0.2588, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2082, root_relative_squared_error: 0.461, scimark_benchmark: 1291.1516, usercpu_time_millis: 3335.441, usercpu_time_millis_testing: 52.516, usercpu_time_millis_training: 3282.925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9438, kappa: 0.8609, kb_relative_information_score: 25337.3919, mean_absolute_error: 0.1177, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9442, predictive_accuracy: 0.9445, prior_entropy: 0.863, recall: 0.9445, relative_absolute_error: 0.2883, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2093, root_relative_squared_error: 0.4633, scimark_benchmark: 1253.8717, usercpu_time_millis: 1802.549, usercpu_time_millis_testing: 56.301, usercpu_time_millis_training: 1746.248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9657, kappa: 0.9159, kb_relative_information_score: 29419.149, mean_absolute_error: 0.0638, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9657, predictive_accuracy: 0.9658, prior_entropy: 0.863, recall: 0.9658, relative_absolute_error: 0.1564, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1618, root_relative_squared_error: 0.3582, scimark_benchmark: 1251.9847, usercpu_time_millis: 229.865, usercpu_time_millis_testing: 6.665, usercpu_time_millis_training: 223.2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9435, kappa: 0.8602, kb_relative_information_score: 25302.2871, mean_absolute_error: 0.1181, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9439, predictive_accuracy: 0.9442, prior_entropy: 0.863, recall: 0.9442, relative_absolute_error: 0.2893, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2096, root_relative_squared_error: 0.4641, scimark_benchmark: 1274.9418, usercpu_time_millis: 2505.923, usercpu_time_millis_testing: 88.715, usercpu_time_millis_training: 2417.208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.9386, kappa: 0.8477, kb_relative_information_score: 24981.3006, mean_absolute_error: 0.1212, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.939, predictive_accuracy: 0.9394, prior_entropy: 0.863, recall: 0.9394, relative_absolute_error: 0.2971, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2163, root_relative_squared_error: 0.4789, scimark_benchmark: 1303.6447, usercpu_time_millis: 1006.014, usercpu_time_millis_testing: 60.008, usercpu_time_millis_training: 946.006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.955, kappa: 0.8895, kb_relative_information_score: 27573.3488, mean_absolute_error: 0.0866, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.955, predictive_accuracy: 0.9552, prior_entropy: 0.863, recall: 0.9552, relative_absolute_error: 0.2121, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1882, root_relative_squared_error: 0.4167, scimark_benchmark: 1267.65, usercpu_time_millis: 82.483, usercpu_time_millis_testing: 2.938, usercpu_time_millis_training: 79.545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9621, kappa: 0.9068, kb_relative_information_score: 27902.7532, mean_absolute_error: 0.0858, 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: 0.2102, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.3869, scimark_benchmark: 1292.7701, usercpu_time_millis: 801.42, usercpu_time_millis_testing: 45.989, usercpu_time_millis_training: 755.431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9285, kappa: 0.8204, kb_relative_information_score: 19011.0713, mean_absolute_error: 0.2078, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9331, predictive_accuracy: 0.9308, prior_entropy: 0.863, recall: 0.9308, relative_absolute_error: 0.5093, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2642, root_relative_squared_error: 0.5849, scimark_benchmark: 1325.7377, usercpu_time_millis: 753.198, usercpu_time_millis_testing: 54.183, usercpu_time_millis_training: 699.015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9629, kappa: 0.9087, kb_relative_information_score: 28361.5785, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9628, predictive_accuracy: 0.963, prior_entropy: 0.863, recall: 0.963, relative_absolute_error: 0.1934, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1713, root_relative_squared_error: 0.3793, scimark_benchmark: 1250.4608, usercpu_time_millis: 1755.962, usercpu_time_millis_testing: 88.821, usercpu_time_millis_training: 1667.141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9442, kappa: 0.8613, kb_relative_information_score: 22710.0541, mean_absolute_error: 0.1559, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9451, predictive_accuracy: 0.945, prior_entropy: 0.863, recall: 0.945, relative_absolute_error: 0.382, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2293, root_relative_squared_error: 0.5076, scimark_benchmark: 1272.6259, usercpu_time_millis: 1681.598, usercpu_time_millis_testing: 89.523, usercpu_time_millis_training: 1592.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9612, kappa: 0.9048, kb_relative_information_score: 28566.7281, mean_absolute_error: 0.0744, 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: 0.1823, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1743, root_relative_squared_error: 0.3858, scimark_benchmark: 1287.1124, usercpu_time_millis: 4100.936, usercpu_time_millis_testing: 94.925, usercpu_time_millis_training: 4006.011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9509, kappa: 0.8791, kb_relative_information_score: 26600.6443, mean_absolute_error: 0.1001, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9509, predictive_accuracy: 0.9512, prior_entropy: 0.863, recall: 0.9512, relative_absolute_error: 0.2452, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1976, root_relative_squared_error: 0.4375, scimark_benchmark: 1256.6915, usercpu_time_millis: 1204.814, usercpu_time_millis_testing: 50.801, usercpu_time_millis_training: 1154.013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9598, kappa: 0.9008, kb_relative_information_score: 27394.2836, mean_absolute_error: 0.0925, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9598, predictive_accuracy: 0.96, prior_entropy: 0.863, recall: 0.96, relative_absolute_error: 0.2266, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1812, root_relative_squared_error: 0.4011, scimark_benchmark: 1299.2764, usercpu_time_millis: 1295.711, usercpu_time_millis_testing: 61.154, usercpu_time_millis_training: 1234.557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9613, kappa: 0.9049, kb_relative_information_score: 28434.3709, mean_absolute_error: 0.0764, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9612, predictive_accuracy: 0.9614, prior_entropy: 0.863, recall: 0.9614, relative_absolute_error: 0.1873, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1751, root_relative_squared_error: 0.3876, scimark_benchmark: 1274.8552, usercpu_time_millis: 721.091, usercpu_time_millis_testing: 21.37, usercpu_time_millis_training: 699.721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9459, kappa: 0.8667, kb_relative_information_score: 26519.9216, mean_absolute_error: 0.0994, 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: 0.2436, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2031, root_relative_squared_error: 0.4495, scimark_benchmark: 1272.2925, usercpu_time_millis: 2303.232, usercpu_time_millis_testing: 71.755, usercpu_time_millis_training: 2231.477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9465, kappa: 0.8673, kb_relative_information_score: 24093.9903, mean_absolute_error: 0.1367, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.947, predictive_accuracy: 0.9471, prior_entropy: 0.863, recall: 0.9471, relative_absolute_error: 0.3349, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2169, root_relative_squared_error: 0.4801, scimark_benchmark: 1237.8202, usercpu_time_millis: 1616.127, usercpu_time_millis_testing: 84.7, usercpu_time_millis_training: 1531.427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9533, kappa: 0.8852, kb_relative_information_score: 27270.4835, mean_absolute_error: 0.0903, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9532, predictive_accuracy: 0.9534, prior_entropy: 0.863, recall: 0.9534, relative_absolute_error: 0.2213, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1922, root_relative_squared_error: 0.4254, scimark_benchmark: 1270.2161, usercpu_time_millis: 135.634, usercpu_time_millis_testing: 4.101, usercpu_time_millis_training: 131.533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9635, kappa: 0.9102, kb_relative_information_score: 28567.321, mean_absolute_error: 0.0759, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9634, predictive_accuracy: 0.9636, prior_entropy: 0.863, recall: 0.9636, relative_absolute_error: 0.186, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1696, root_relative_squared_error: 0.3754, scimark_benchmark: 1284.4879, usercpu_time_millis: 2127.338, usercpu_time_millis_testing: 82.534, usercpu_time_millis_training: 2044.804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9681, kappa: 0.9218, kb_relative_information_score: 29733.8293, mean_absolute_error: 0.06, 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: 0.147, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1559, root_relative_squared_error: 0.3452, scimark_benchmark: 1252.9435, usercpu_time_millis: 1133.126, usercpu_time_millis_testing: 19.659, usercpu_time_millis_training: 1113.467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9686, kappa: 0.9229, kb_relative_information_score: 29786.9977, mean_absolute_error: 0.0593, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9686, predictive_accuracy: 0.9686, prior_entropy: 0.863, recall: 0.9686, relative_absolute_error: 0.1452, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1556, root_relative_squared_error: 0.3446, scimark_benchmark: 1288.1799, usercpu_time_millis: 2182.234, usercpu_time_millis_testing: 34.512, usercpu_time_millis_training: 2147.722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9536, kappa: 0.8858, kb_relative_information_score: 27068.8678, mean_absolute_error: 0.0938, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9535, predictive_accuracy: 0.9538, prior_entropy: 0.863, recall: 0.9538, relative_absolute_error: 0.2297, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.4256, scimark_benchmark: 1249.5194, usercpu_time_millis: 2232.518, usercpu_time_millis_testing: 67.731, usercpu_time_millis_training: 2164.787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9653, kappa: 0.9148, kb_relative_information_score: 29119.7418, mean_absolute_error: 0.068, 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: 0.1666, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1645, root_relative_squared_error: 0.3641, scimark_benchmark: 1257.0428, usercpu_time_millis: 2116.156, usercpu_time_millis_testing: 60.024, usercpu_time_millis_training: 2056.132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9595, kappa: 0.9002, kb_relative_information_score: 27713.3259, mean_absolute_error: 0.0872, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9594, predictive_accuracy: 0.9596, prior_entropy: 0.863, recall: 0.9596, relative_absolute_error: 0.2136, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1798, root_relative_squared_error: 0.3981, scimark_benchmark: 1307.0926, usercpu_time_millis: 3538.843, usercpu_time_millis_testing: 113.35, usercpu_time_millis_training: 3425.493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9673, kappa: 0.9197, kb_relative_information_score: 29534.784, mean_absolute_error: 0.0625, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9673, predictive_accuracy: 0.9673, prior_entropy: 0.863, recall: 0.9673, relative_absolute_error: 0.1531, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1594, root_relative_squared_error: 0.3529, scimark_benchmark: 1256.1928, usercpu_time_millis: 4599.451, usercpu_time_millis_testing: 59.5, usercpu_time_millis_training: 4539.951,

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)

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