OpenML
Supervised Classification on nomao

Supervised Classification on nomao

Task 145854 Supervised Classification nomao 32334 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

32334 Runs

Fetching data
Note: Chart is limited to the 100 best flows, and the 100 best runs for each flow.
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9649, kappa: 0.9138, kb_relative_information_score: 29154.1601, mean_absolute_error: 0.0671, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9648, predictive_accuracy: 0.965, prior_entropy: 0.863, recall: 0.965, relative_absolute_error: 0.1643, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1662, root_relative_squared_error: 0.368, scimark_benchmark: 1289.2965, usercpu_time_millis: 1412.407, usercpu_time_millis_testing: 23.007, usercpu_time_millis_training: 1389.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9588, kappa: 0.8983, kb_relative_information_score: 26858.8915, mean_absolute_error: 0.1002, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9589, predictive_accuracy: 0.9591, prior_entropy: 0.863, recall: 0.9591, relative_absolute_error: 0.2456, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1855, root_relative_squared_error: 0.4106, scimark_benchmark: 1258.6489, usercpu_time_millis: 698.521, usercpu_time_millis_testing: 49.835, usercpu_time_millis_training: 648.686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9635, kappa: 0.9104, kb_relative_information_score: 28729.779, mean_absolute_error: 0.0729, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9635, predictive_accuracy: 0.9636, prior_entropy: 0.863, recall: 0.9636, relative_absolute_error: 0.1786, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1701, root_relative_squared_error: 0.3766, scimark_benchmark: 1221.9952, usercpu_time_millis: 1682.24, usercpu_time_millis_testing: 57.083, usercpu_time_millis_training: 1625.157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.96, kappa: 0.9017, kb_relative_information_score: 28326.4678, mean_absolute_error: 0.0775, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9599, predictive_accuracy: 0.9601, prior_entropy: 0.863, recall: 0.9601, relative_absolute_error: 0.19, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.177, root_relative_squared_error: 0.3918, scimark_benchmark: 1259.7774, usercpu_time_millis: 586.949, usercpu_time_millis_testing: 17.481, usercpu_time_millis_training: 569.468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9508, kappa: 0.8789, kb_relative_information_score: 26704.3784, mean_absolute_error: 0.0981, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9507, predictive_accuracy: 0.951, prior_entropy: 0.863, recall: 0.951, relative_absolute_error: 0.2405, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1974, root_relative_squared_error: 0.4369, scimark_benchmark: 1252.5437, usercpu_time_millis: 1924.766, usercpu_time_millis_testing: 41.395, usercpu_time_millis_training: 1883.371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9539, kappa: 0.8869, kb_relative_information_score: 27521.4882, mean_absolute_error: 0.0866, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9539, predictive_accuracy: 0.954, prior_entropy: 0.863, recall: 0.954, relative_absolute_error: 0.2122, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1909, root_relative_squared_error: 0.4225, scimark_benchmark: 1311.2418, usercpu_time_millis: 2879.152, usercpu_time_millis_testing: 40.988, usercpu_time_millis_training: 2838.164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9468, kappa: 0.868, kb_relative_information_score: 23334.7163, mean_absolute_error: 0.1473, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9474, predictive_accuracy: 0.9475, prior_entropy: 0.863, recall: 0.9475, relative_absolute_error: 0.3609, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2232, root_relative_squared_error: 0.4941, scimark_benchmark: 1252.3446, usercpu_time_millis: 1065.867, usercpu_time_millis_testing: 56.577, usercpu_time_millis_training: 1009.29,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9597, kappa: 0.9008, kb_relative_information_score: 28296.1919, mean_absolute_error: 0.0779, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9596, predictive_accuracy: 0.9598, prior_entropy: 0.863, recall: 0.9598, relative_absolute_error: 0.1909, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.178, root_relative_squared_error: 0.394, scimark_benchmark: 1256.8206, usercpu_time_millis: 224.857, usercpu_time_millis_testing: 9.071, usercpu_time_millis_training: 215.786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9669, kappa: 0.9189, kb_relative_information_score: 29624.5954, mean_absolute_error: 0.0607, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9669, predictive_accuracy: 0.967, prior_entropy: 0.863, recall: 0.967, relative_absolute_error: 0.1487, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1613, root_relative_squared_error: 0.357, scimark_benchmark: 1297.8318, usercpu_time_millis: 169.278, usercpu_time_millis_testing: 5.742, usercpu_time_millis_training: 163.536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9563, kappa: 0.8922, kb_relative_information_score: 26900.3679, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9563, predictive_accuracy: 0.9566, prior_entropy: 0.863, recall: 0.9566, relative_absolute_error: 0.2412, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1881, root_relative_squared_error: 0.4165, scimark_benchmark: 1226.244, usercpu_time_millis: 1106.009, usercpu_time_millis_testing: 47.831, usercpu_time_millis_training: 1058.178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.9321, kappa: 0.831, kb_relative_information_score: 23558.4217, mean_absolute_error: 0.1408, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9332, predictive_accuracy: 0.9333, prior_entropy: 0.863, recall: 0.9333, relative_absolute_error: 0.3451, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2289, root_relative_squared_error: 0.5068, scimark_benchmark: 1276.9858, usercpu_time_millis: 1646.375, usercpu_time_millis_testing: 59.247, usercpu_time_millis_training: 1587.128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9489, kappa: 0.8737, kb_relative_information_score: 25550.3267, mean_absolute_error: 0.1157, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9491, predictive_accuracy: 0.9494, prior_entropy: 0.863, recall: 0.9494, relative_absolute_error: 0.2835, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2046, root_relative_squared_error: 0.453, scimark_benchmark: 1256.4774, usercpu_time_millis: 2544.803, usercpu_time_millis_testing: 110.09, usercpu_time_millis_training: 2434.713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9201, kappa: 0.7989, kb_relative_information_score: 18209.3564, mean_absolute_error: 0.2166, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9259, predictive_accuracy: 0.9231, prior_entropy: 0.863, recall: 0.9231, relative_absolute_error: 0.5307, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2732, root_relative_squared_error: 0.6048, scimark_benchmark: 1314.8398, usercpu_time_millis: 755.554, usercpu_time_millis_testing: 56.957, usercpu_time_millis_training: 698.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.968, kappa: 0.9215, kb_relative_information_score: 29746.5761, mean_absolute_error: 0.0596, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.968, predictive_accuracy: 0.968, prior_entropy: 0.863, recall: 0.968, relative_absolute_error: 0.1461, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.157, root_relative_squared_error: 0.3477, scimark_benchmark: 1286.6286, usercpu_time_millis: 3566.198, usercpu_time_millis_testing: 47.672, usercpu_time_millis_training: 3518.526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9638, kappa: 0.9111, kb_relative_information_score: 28907.7039, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9638, predictive_accuracy: 0.9639, prior_entropy: 0.863, recall: 0.9639, relative_absolute_error: 0.1723, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1687, root_relative_squared_error: 0.3735, scimark_benchmark: 1314.6485, usercpu_time_millis: 478.137, usercpu_time_millis_testing: 13.014, usercpu_time_millis_training: 465.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9611, kappa: 0.9042, kb_relative_information_score: 28072.2388, mean_absolute_error: 0.0824, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.961, predictive_accuracy: 0.9612, prior_entropy: 0.863, recall: 0.9612, relative_absolute_error: 0.202, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1756, root_relative_squared_error: 0.3888, scimark_benchmark: 1229.708, usercpu_time_millis: 2824.374, usercpu_time_millis_testing: 108.216, usercpu_time_millis_training: 2716.158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9677, kappa: 0.9207, kb_relative_information_score: 29606.5958, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9677, predictive_accuracy: 0.9678, prior_entropy: 0.863, recall: 0.9678, relative_absolute_error: 0.1518, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1568, root_relative_squared_error: 0.3471, scimark_benchmark: 1312.5716, usercpu_time_millis: 168.296, usercpu_time_millis_testing: 6.404, usercpu_time_millis_training: 161.892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9606, kappa: 0.9033, kb_relative_information_score: 28464.8964, mean_absolute_error: 0.0757, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9606, predictive_accuracy: 0.9607, prior_entropy: 0.863, recall: 0.9607, relative_absolute_error: 0.1854, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1751, root_relative_squared_error: 0.3877, scimark_benchmark: 1263.5188, usercpu_time_millis: 5713.238, usercpu_time_millis_testing: 107.742, usercpu_time_millis_training: 5605.496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9585, kappa: 0.8981, kb_relative_information_score: 28043.8489, mean_absolute_error: 0.0812, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9585, predictive_accuracy: 0.9587, prior_entropy: 0.863, recall: 0.9587, relative_absolute_error: 0.199, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1803, root_relative_squared_error: 0.3992, scimark_benchmark: 1241.6294, usercpu_time_millis: 815.201, usercpu_time_millis_testing: 25.518, usercpu_time_millis_training: 789.683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9632, kappa: 0.9095, kb_relative_information_score: 28709.288, mean_absolute_error: 0.073, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9631, predictive_accuracy: 0.9632, prior_entropy: 0.863, recall: 0.9632, relative_absolute_error: 0.179, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.171, root_relative_squared_error: 0.3786, scimark_benchmark: 1291.2748, usercpu_time_millis: 1334.227, usercpu_time_millis_testing: 40.035, usercpu_time_millis_training: 1294.192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9543, kappa: 0.8876, kb_relative_information_score: 27083.1693, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9543, predictive_accuracy: 0.9545, prior_entropy: 0.863, recall: 0.9545, relative_absolute_error: 0.2306, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1908, root_relative_squared_error: 0.4223, scimark_benchmark: 1313.3715, usercpu_time_millis: 1549.933, usercpu_time_millis_testing: 63.151, usercpu_time_millis_training: 1486.782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9523, kappa: 0.8827, kb_relative_information_score: 26909.5496, mean_absolute_error: 0.0955, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9522, predictive_accuracy: 0.9525, prior_entropy: 0.863, recall: 0.9525, relative_absolute_error: 0.234, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1948, root_relative_squared_error: 0.4312, scimark_benchmark: 1270.8393, usercpu_time_millis: 5124.334, usercpu_time_millis_testing: 108.744, usercpu_time_millis_training: 5015.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9491, kappa: 0.8746, kb_relative_information_score: 26587.5627, mean_absolute_error: 0.0993, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.949, predictive_accuracy: 0.9493, prior_entropy: 0.863, recall: 0.9493, relative_absolute_error: 0.2433, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1997, root_relative_squared_error: 0.4422, scimark_benchmark: 1246.3818, usercpu_time_millis: 3194.586, usercpu_time_millis_testing: 54.706, usercpu_time_millis_training: 3139.88,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9653, kappa: 0.9149, kb_relative_information_score: 29294.3294, mean_absolute_error: 0.0652, 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: 0.1598, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1641, root_relative_squared_error: 0.3633, scimark_benchmark: 1291.9794, usercpu_time_millis: 6431.282, usercpu_time_millis_testing: 61.983, usercpu_time_millis_training: 6369.299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9437, kappa: 0.8604, kb_relative_information_score: 23452.4909, mean_absolute_error: 0.1451, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9443, predictive_accuracy: 0.9445, prior_entropy: 0.863, recall: 0.9445, relative_absolute_error: 0.3555, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2237, root_relative_squared_error: 0.4951, scimark_benchmark: 1311.0274, usercpu_time_millis: 1298.105, usercpu_time_millis_testing: 79.447, usercpu_time_millis_training: 1218.658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9606, kappa: 0.9031, kb_relative_information_score: 28340.2404, mean_absolute_error: 0.078, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9606, predictive_accuracy: 0.9607, prior_entropy: 0.863, recall: 0.9607, relative_absolute_error: 0.1911, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1754, root_relative_squared_error: 0.3882, scimark_benchmark: 1312.158, usercpu_time_millis: 113.334, usercpu_time_millis_testing: 5.996, usercpu_time_millis_training: 107.338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.9345, kappa: 0.8372, kb_relative_information_score: 20719.665, mean_absolute_error: 0.1796, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9354, predictive_accuracy: 0.9356, prior_entropy: 0.863, recall: 0.9356, relative_absolute_error: 0.4401, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2506, root_relative_squared_error: 0.5547, scimark_benchmark: 1251.2172, usercpu_time_millis: 203.042, usercpu_time_millis_testing: 15.723, usercpu_time_millis_training: 187.319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9655, kappa: 0.9153, kb_relative_information_score: 29190.8766, mean_absolute_error: 0.0667, 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: 0.1633, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1655, root_relative_squared_error: 0.3665, scimark_benchmark: 1282.2007, usercpu_time_millis: 6024.559, usercpu_time_millis_testing: 89.822, usercpu_time_millis_training: 5934.737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9439, kappa: 0.862, kb_relative_information_score: 26421.3451, mean_absolute_error: 0.0997, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9438, predictive_accuracy: 0.9442, prior_entropy: 0.863, recall: 0.9442, relative_absolute_error: 0.2442, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2058, root_relative_squared_error: 0.4557, scimark_benchmark: 1311.4434, usercpu_time_millis: 4171.196, usercpu_time_millis_testing: 56.056, usercpu_time_millis_training: 4115.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9571, kappa: 0.8944, kb_relative_information_score: 27617.097, mean_absolute_error: 0.0869, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.957, predictive_accuracy: 0.9572, prior_entropy: 0.863, recall: 0.9572, relative_absolute_error: 0.2131, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1846, root_relative_squared_error: 0.4087, scimark_benchmark: 1263.2511, usercpu_time_millis: 3957, usercpu_time_millis_testing: 98.94, usercpu_time_millis_training: 3858.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9478, kappa: 0.8708, kb_relative_information_score: 24757.4271, mean_absolute_error: 0.1272, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9482, predictive_accuracy: 0.9484, prior_entropy: 0.863, recall: 0.9484, relative_absolute_error: 0.3117, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2109, root_relative_squared_error: 0.467, scimark_benchmark: 1264.8948, usercpu_time_millis: 724.094, usercpu_time_millis_testing: 37.504, usercpu_time_millis_training: 686.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.9364, kappa: 0.8422, kb_relative_information_score: 24672.4273, mean_absolute_error: 0.1243, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.937, predictive_accuracy: 0.9373, prior_entropy: 0.863, recall: 0.9373, relative_absolute_error: 0.3046, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2218, root_relative_squared_error: 0.491, scimark_benchmark: 1271.1062, usercpu_time_millis: 1302.332, usercpu_time_millis_testing: 39.494, usercpu_time_millis_training: 1262.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9641, kappa: 0.9119, kb_relative_information_score: 28899.4667, mean_absolute_error: 0.0708, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9641, predictive_accuracy: 0.9642, prior_entropy: 0.863, recall: 0.9642, relative_absolute_error: 0.1736, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1672, root_relative_squared_error: 0.3702, scimark_benchmark: 1257.9996, usercpu_time_millis: 2574.844, usercpu_time_millis_testing: 53.085, usercpu_time_millis_training: 2521.759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9594, kappa: 0.9004, kb_relative_information_score: 28202.9567, mean_absolute_error: 0.0787, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9594, predictive_accuracy: 0.9595, prior_entropy: 0.863, recall: 0.9595, relative_absolute_error: 0.1929, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1791, root_relative_squared_error: 0.3966, scimark_benchmark: 1302.6466, usercpu_time_millis: 2621.338, usercpu_time_millis_testing: 33.41, usercpu_time_millis_training: 2587.928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9535, kappa: 0.8857, kb_relative_information_score: 27436.9115, mean_absolute_error: 0.0882, 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: 0.2162, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.191, root_relative_squared_error: 0.4228, scimark_benchmark: 1283.9306, usercpu_time_millis: 1364.141, usercpu_time_millis_testing: 46.719, usercpu_time_millis_training: 1317.422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9564, kappa: 0.8921, kb_relative_information_score: 25526.4485, mean_absolute_error: 0.1201, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9568, predictive_accuracy: 0.9568, prior_entropy: 0.863, recall: 0.9568, relative_absolute_error: 0.2942, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1964, root_relative_squared_error: 0.4349, scimark_benchmark: 1276.8016, usercpu_time_millis: 817.922, usercpu_time_millis_testing: 53.782, usercpu_time_millis_training: 764.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9602, kappa: 0.9023, kb_relative_information_score: 28609.2722, mean_absolute_error: 0.0732, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9601, predictive_accuracy: 0.9602, prior_entropy: 0.863, recall: 0.9602, relative_absolute_error: 0.1793, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1757, root_relative_squared_error: 0.3889, scimark_benchmark: 1283.9852, usercpu_time_millis: 8889.373, usercpu_time_millis_testing: 82.863, usercpu_time_millis_training: 8806.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9393, kappa: 0.8498, kb_relative_information_score: 25266.197, mean_absolute_error: 0.1162, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9396, predictive_accuracy: 0.94, prior_entropy: 0.863, recall: 0.94, relative_absolute_error: 0.2848, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2155, root_relative_squared_error: 0.4771, scimark_benchmark: 1270.5836, usercpu_time_millis: 3477.792, usercpu_time_millis_testing: 85.193, usercpu_time_millis_training: 3392.599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.9349, kappa: 0.838, kb_relative_information_score: 23847.0277, mean_absolute_error: 0.1367, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9359, predictive_accuracy: 0.936, prior_entropy: 0.863, recall: 0.936, relative_absolute_error: 0.3349, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2267, root_relative_squared_error: 0.5018, scimark_benchmark: 1236.0084, usercpu_time_millis: 823.853, usercpu_time_millis_testing: 41.229, usercpu_time_millis_training: 782.624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.9348, kappa: 0.8384, kb_relative_information_score: 25369.5133, mean_absolute_error: 0.1131, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9353, predictive_accuracy: 0.9357, prior_entropy: 0.863, recall: 0.9357, relative_absolute_error: 0.2772, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2201, root_relative_squared_error: 0.4873, scimark_benchmark: 1272.792, usercpu_time_millis: 2150.926, usercpu_time_millis_testing: 70.77, usercpu_time_millis_training: 2080.156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9684, kappa: 0.9224, kb_relative_information_score: 29699.0482, mean_absolute_error: 0.0605, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9684, predictive_accuracy: 0.9685, prior_entropy: 0.863, recall: 0.9685, relative_absolute_error: 0.1483, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1556, root_relative_squared_error: 0.3445, scimark_benchmark: 1248.2581, usercpu_time_millis: 840.783, usercpu_time_millis_testing: 20.153, usercpu_time_millis_training: 820.63,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9473, kappa: 0.8691, kb_relative_information_score: 22697.3812, mean_absolute_error: 0.1578, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9481, predictive_accuracy: 0.9481, prior_entropy: 0.863, recall: 0.9481, relative_absolute_error: 0.3868, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2266, root_relative_squared_error: 0.5016, scimark_benchmark: 1245.8775, usercpu_time_millis: 811.191, usercpu_time_millis_testing: 56.402, usercpu_time_millis_training: 754.789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9598, kappa: 0.9007, kb_relative_information_score: 26310.998, mean_absolute_error: 0.1089, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.96, predictive_accuracy: 0.9601, prior_entropy: 0.863, recall: 0.9601, relative_absolute_error: 0.2668, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.4178, scimark_benchmark: 1248.5152, usercpu_time_millis: 663.453, usercpu_time_millis_testing: 35.001, usercpu_time_millis_training: 628.452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9004, kappa: 0.7477, kb_relative_information_score: 16437.504, mean_absolute_error: 0.2368, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9102, predictive_accuracy: 0.9053, prior_entropy: 0.863, recall: 0.9053, relative_absolute_error: 0.5802, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2917, root_relative_squared_error: 0.6458, scimark_benchmark: 1294.4385, usercpu_time_millis: 799.114, usercpu_time_millis_testing: 57.398, usercpu_time_millis_training: 741.716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.9311, kappa: 0.8284, kb_relative_information_score: 24943.1116, mean_absolute_error: 0.1182, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9322, predictive_accuracy: 0.9323, prior_entropy: 0.863, recall: 0.9323, relative_absolute_error: 0.2896, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2249, root_relative_squared_error: 0.498, scimark_benchmark: 1310.4273, usercpu_time_millis: 2612.655, usercpu_time_millis_testing: 27.383, usercpu_time_millis_training: 2585.272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9459, kappa: 0.8662, kb_relative_information_score: 25652.3825, mean_absolute_error: 0.1132, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.946, predictive_accuracy: 0.9464, prior_entropy: 0.863, recall: 0.9464, relative_absolute_error: 0.2774, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2064, root_relative_squared_error: 0.4568, scimark_benchmark: 1270.9921, usercpu_time_millis: 1934.808, usercpu_time_millis_testing: 85.262, usercpu_time_millis_training: 1849.546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9643, kappa: 0.9123, kb_relative_information_score: 28964.7201, mean_absolute_error: 0.0698, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9643, predictive_accuracy: 0.9644, prior_entropy: 0.863, recall: 0.9644, relative_absolute_error: 0.1711, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1669, root_relative_squared_error: 0.3694, scimark_benchmark: 1273.342, usercpu_time_millis: 3231.336, usercpu_time_millis_testing: 59.913, usercpu_time_millis_training: 3171.423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9791, f_measure: 0.86, kappa: 0.6414, kb_relative_information_score: 15048.9727, mean_absolute_error: 0.2556, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8844, predictive_accuracy: 0.8715, prior_entropy: 0.863, recall: 0.8715, relative_absolute_error: 0.6263, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3058, root_relative_squared_error: 0.6769, scimark_benchmark: 1254.4162, usercpu_time_millis: 427.021, usercpu_time_millis_testing: 40.311, usercpu_time_millis_training: 386.71,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9509, kappa: 0.8792, kb_relative_information_score: 26524.4786, mean_absolute_error: 0.1011, 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: 0.2478, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1978, root_relative_squared_error: 0.4379, scimark_benchmark: 1268.1224, usercpu_time_millis: 2311.772, usercpu_time_millis_testing: 56.455, usercpu_time_millis_training: 2255.317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9417, kappa: 0.8557, kb_relative_information_score: 25711.3929, mean_absolute_error: 0.1105, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9419, predictive_accuracy: 0.9423, prior_entropy: 0.863, recall: 0.9423, relative_absolute_error: 0.2709, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.21, root_relative_squared_error: 0.4648, scimark_benchmark: 1296.1689, usercpu_time_millis: 449.618, usercpu_time_millis_testing: 10.142, usercpu_time_millis_training: 439.476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9591, kappa: 0.8995, kb_relative_information_score: 28364.6374, mean_absolute_error: 0.0765, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.959, predictive_accuracy: 0.9592, prior_entropy: 0.863, recall: 0.9592, relative_absolute_error: 0.1875, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1788, root_relative_squared_error: 0.3959, scimark_benchmark: 1295.7317, usercpu_time_millis: 386.248, usercpu_time_millis_testing: 9.976, usercpu_time_millis_training: 376.272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9696, kappa: 0.9253, kb_relative_information_score: 30096.3379, mean_absolute_error: 0.0551, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9696, predictive_accuracy: 0.9696, prior_entropy: 0.863, recall: 0.9696, relative_absolute_error: 0.135, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1511, root_relative_squared_error: 0.3344, scimark_benchmark: 1273.8425, usercpu_time_millis: 2024.784, usercpu_time_millis_testing: 43.994, usercpu_time_millis_training: 1980.79,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9378, kappa: 0.8457, kb_relative_information_score: 23159.4896, mean_absolute_error: 0.1469, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9385, predictive_accuracy: 0.9387, prior_entropy: 0.863, recall: 0.9387, relative_absolute_error: 0.36, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2296, root_relative_squared_error: 0.5083, scimark_benchmark: 1262.6422, usercpu_time_millis: 1217.267, usercpu_time_millis_testing: 48.891, usercpu_time_millis_training: 1168.376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9572, kappa: 0.8941, kb_relative_information_score: 25979.7193, mean_absolute_error: 0.1129, 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: 0.2766, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.4285, scimark_benchmark: 1256.8652, usercpu_time_millis: 214.475, usercpu_time_millis_testing: 11.983, usercpu_time_millis_training: 202.492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9549, kappa: 0.8892, kb_relative_information_score: 27803.1462, mean_absolute_error: 0.0832, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9548, predictive_accuracy: 0.9549, prior_entropy: 0.863, recall: 0.9549, relative_absolute_error: 0.2038, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1874, root_relative_squared_error: 0.415, scimark_benchmark: 1300.2408, usercpu_time_millis: 568.972, usercpu_time_millis_testing: 11.084, usercpu_time_millis_training: 557.888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.964, kappa: 0.9115, kb_relative_information_score: 28472.5034, mean_absolute_error: 0.0775, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.964, predictive_accuracy: 0.9641, prior_entropy: 0.863, recall: 0.9641, relative_absolute_error: 0.19, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1694, root_relative_squared_error: 0.3751, scimark_benchmark: 1268.4234, usercpu_time_millis: 3026.351, usercpu_time_millis_testing: 84.7, usercpu_time_millis_training: 2941.651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9581, kappa: 0.897, kb_relative_information_score: 27759.2124, mean_absolute_error: 0.085, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.958, predictive_accuracy: 0.9582, prior_entropy: 0.863, recall: 0.9582, relative_absolute_error: 0.2083, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1831, root_relative_squared_error: 0.4054, scimark_benchmark: 1305.2164, usercpu_time_millis: 2962.432, usercpu_time_millis_testing: 57.032, usercpu_time_millis_training: 2905.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9647, kappa: 0.9132, kb_relative_information_score: 28858.8849, mean_absolute_error: 0.0716, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9646, predictive_accuracy: 0.9648, prior_entropy: 0.863, recall: 0.9648, relative_absolute_error: 0.1756, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1669, root_relative_squared_error: 0.3696, scimark_benchmark: 1268.6853, usercpu_time_millis: 1452.677, usercpu_time_millis_testing: 52.136, usercpu_time_millis_training: 1400.541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9663, kappa: 0.9173, kb_relative_information_score: 28948.5725, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9663, predictive_accuracy: 0.9664, prior_entropy: 0.863, recall: 0.9664, relative_absolute_error: 0.1746, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1635, root_relative_squared_error: 0.3619, scimark_benchmark: 1310.4576, usercpu_time_millis: 875.192, usercpu_time_millis_testing: 28.565, usercpu_time_millis_training: 846.627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9553, kappa: 0.8899, kb_relative_information_score: 26980.9259, mean_absolute_error: 0.0969, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9553, predictive_accuracy: 0.9556, prior_entropy: 0.863, recall: 0.9556, relative_absolute_error: 0.2374, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1884, root_relative_squared_error: 0.4172, scimark_benchmark: 1265.4254, usercpu_time_millis: 1496.149, usercpu_time_millis_testing: 91.806, usercpu_time_millis_training: 1404.343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9574, kappa: 0.8955, kb_relative_information_score: 28097.2697, mean_absolute_error: 0.0796, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9573, predictive_accuracy: 0.9574, prior_entropy: 0.863, recall: 0.9574, relative_absolute_error: 0.1951, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1823, root_relative_squared_error: 0.4036, scimark_benchmark: 1281.1936, usercpu_time_millis: 2451.191, usercpu_time_millis_testing: 29.167, usercpu_time_millis_training: 2422.024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9431, kappa: 0.8591, kb_relative_information_score: 23887.3076, mean_absolute_error: 0.1382, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9435, predictive_accuracy: 0.9438, prior_entropy: 0.863, recall: 0.9438, relative_absolute_error: 0.3386, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2209, root_relative_squared_error: 0.4891, scimark_benchmark: 1273.4526, usercpu_time_millis: 2378.14, usercpu_time_millis_testing: 96.984, usercpu_time_millis_training: 2281.156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9405, kappa: 0.8526, kb_relative_information_score: 24879.2243, mean_absolute_error: 0.1228, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9409, predictive_accuracy: 0.9412, prior_entropy: 0.863, recall: 0.9412, relative_absolute_error: 0.301, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2161, root_relative_squared_error: 0.4784, scimark_benchmark: 1268.1264, usercpu_time_millis: 380.841, usercpu_time_millis_testing: 20.399, usercpu_time_millis_training: 360.442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9589, kappa: 0.8992, kb_relative_information_score: 28404.6277, mean_absolute_error: 0.0757, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9589, predictive_accuracy: 0.9589, prior_entropy: 0.863, recall: 0.9589, relative_absolute_error: 0.1855, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1784, root_relative_squared_error: 0.3949, scimark_benchmark: 1294.4826, usercpu_time_millis: 3085.851, usercpu_time_millis_testing: 34.315, usercpu_time_millis_training: 3051.536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9642, kappa: 0.9121, kb_relative_information_score: 29033.8028, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9641, predictive_accuracy: 0.9643, prior_entropy: 0.863, recall: 0.9643, relative_absolute_error: 0.1684, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1668, root_relative_squared_error: 0.3693, scimark_benchmark: 1261.509, usercpu_time_millis: 2903.879, usercpu_time_millis_testing: 55.716, usercpu_time_millis_training: 2848.163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9443, kappa: 0.8629, kb_relative_information_score: 26538.5541, mean_absolute_error: 0.0982, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9442, predictive_accuracy: 0.9446, prior_entropy: 0.863, recall: 0.9446, relative_absolute_error: 0.2405, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2047, root_relative_squared_error: 0.4532, scimark_benchmark: 1304.1164, usercpu_time_millis: 7320.931, usercpu_time_millis_testing: 82.3, usercpu_time_millis_training: 7238.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9791, f_measure: 0.9167, kappa: 0.7906, kb_relative_information_score: 23482.2537, mean_absolute_error: 0.1398, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9213, predictive_accuracy: 0.9195, prior_entropy: 0.863, recall: 0.9195, relative_absolute_error: 0.3426, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2368, root_relative_squared_error: 0.5241, scimark_benchmark: 1303.0444, usercpu_time_millis: 2442.361, usercpu_time_millis_testing: 51.187, usercpu_time_millis_training: 2391.174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9561, kappa: 0.8913, kb_relative_information_score: 25465.1897, mean_absolute_error: 0.1208, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9565, predictive_accuracy: 0.9565, prior_entropy: 0.863, recall: 0.9565, relative_absolute_error: 0.296, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1974, root_relative_squared_error: 0.437, scimark_benchmark: 1306.4375, usercpu_time_millis: 2151.041, usercpu_time_millis_testing: 114.716, usercpu_time_millis_training: 2036.325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9598, kappa: 0.9012, kb_relative_information_score: 28320.9041, mean_absolute_error: 0.0777, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9597, predictive_accuracy: 0.9599, prior_entropy: 0.863, recall: 0.9599, relative_absolute_error: 0.1903, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.177, root_relative_squared_error: 0.3918, scimark_benchmark: 1259.9173, usercpu_time_millis: 2271.533, usercpu_time_millis_testing: 65.227, usercpu_time_millis_training: 2206.306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9533, kappa: 0.8849, kb_relative_information_score: 26718.5351, mean_absolute_error: 0.0994, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9533, predictive_accuracy: 0.9535, prior_entropy: 0.863, recall: 0.9535, relative_absolute_error: 0.2436, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1932, root_relative_squared_error: 0.4276, scimark_benchmark: 1273.9632, usercpu_time_millis: 829.81, usercpu_time_millis_testing: 21.954, usercpu_time_millis_training: 807.856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9325, kappa: 0.8322, kb_relative_information_score: 24836.3771, mean_absolute_error: 0.1209, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9333, predictive_accuracy: 0.9336, prior_entropy: 0.863, recall: 0.9336, relative_absolute_error: 0.2961, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2233, root_relative_squared_error: 0.4944, scimark_benchmark: 1306.4021, usercpu_time_millis: 2933.147, usercpu_time_millis_testing: 59.373, usercpu_time_millis_training: 2873.774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9668, kappa: 0.9183, kb_relative_information_score: 28937.7947, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9667, predictive_accuracy: 0.9669, prior_entropy: 0.863, recall: 0.9669, relative_absolute_error: 0.1749, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1634, root_relative_squared_error: 0.3617, scimark_benchmark: 1270.1468, usercpu_time_millis: 604.979, usercpu_time_millis_testing: 24.972, usercpu_time_millis_training: 580.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9662, kappa: 0.9171, kb_relative_information_score: 29198.9687, mean_absolute_error: 0.067, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9662, predictive_accuracy: 0.9663, prior_entropy: 0.863, recall: 0.9663, relative_absolute_error: 0.1642, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.163, root_relative_squared_error: 0.3609, scimark_benchmark: 1267.2954, usercpu_time_millis: 866.377, usercpu_time_millis_testing: 27.132, usercpu_time_millis_training: 839.245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9603, kappa: 0.9024, kb_relative_information_score: 28040.2315, mean_absolute_error: 0.0822, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9603, predictive_accuracy: 0.9604, prior_entropy: 0.863, recall: 0.9604, relative_absolute_error: 0.2015, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1779, root_relative_squared_error: 0.3937, scimark_benchmark: 1271.0247, usercpu_time_millis: 649.822, usercpu_time_millis_testing: 38.841, usercpu_time_millis_training: 610.981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.962, kappa: 0.9065, kb_relative_information_score: 28583.2297, mean_absolute_error: 0.0748, 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: 0.1833, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1718, root_relative_squared_error: 0.3804, scimark_benchmark: 1272.6201, usercpu_time_millis: 4712.101, usercpu_time_millis_testing: 105.112, usercpu_time_millis_training: 4606.989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9501, kappa: 0.8771, kb_relative_information_score: 26627.8799, mean_absolute_error: 0.0993, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9501, predictive_accuracy: 0.9504, prior_entropy: 0.863, recall: 0.9504, relative_absolute_error: 0.2434, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1986, root_relative_squared_error: 0.4396, scimark_benchmark: 1267.719, usercpu_time_millis: 1363.536, usercpu_time_millis_testing: 68.992, usercpu_time_millis_training: 1294.544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9621, kappa: 0.9069, kb_relative_information_score: 28605.1188, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9621, predictive_accuracy: 0.9622, prior_entropy: 0.863, recall: 0.9622, relative_absolute_error: 0.1822, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1723, root_relative_squared_error: 0.3814, scimark_benchmark: 1271.7926, usercpu_time_millis: 1356.283, usercpu_time_millis_testing: 52.066, usercpu_time_millis_training: 1304.217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.8416, kappa: 0.5933, kb_relative_information_score: 14096.8626, mean_absolute_error: 0.2653, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8726, predictive_accuracy: 0.8568, prior_entropy: 0.863, recall: 0.8568, relative_absolute_error: 0.6501, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3154, root_relative_squared_error: 0.6983, scimark_benchmark: 1267.678, usercpu_time_millis: 600.562, usercpu_time_millis_testing: 48.52, usercpu_time_millis_training: 552.042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.959, kappa: 0.8994, kb_relative_information_score: 28108.5054, mean_absolute_error: 0.0802, 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: 0.1966, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1796, root_relative_squared_error: 0.3977, scimark_benchmark: 1266.5388, usercpu_time_millis: 4421.045, usercpu_time_millis_testing: 99.602, usercpu_time_millis_training: 4321.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9492, kappa: 0.8742, kb_relative_information_score: 24216.1777, mean_absolute_error: 0.1358, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9497, predictive_accuracy: 0.9498, prior_entropy: 0.863, recall: 0.9498, relative_absolute_error: 0.3328, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2136, root_relative_squared_error: 0.4728, scimark_benchmark: 1269.8654, usercpu_time_millis: 1271.34, usercpu_time_millis_testing: 100.056, usercpu_time_millis_training: 1171.284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9557, kappa: 0.891, kb_relative_information_score: 27133.5157, mean_absolute_error: 0.0945, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9557, predictive_accuracy: 0.956, prior_entropy: 0.863, recall: 0.956, relative_absolute_error: 0.2316, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1873, root_relative_squared_error: 0.4147, scimark_benchmark: 1270.0039, usercpu_time_millis: 2813.263, usercpu_time_millis_testing: 113.434, usercpu_time_millis_training: 2699.829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9439, kappa: 0.8616, kb_relative_information_score: 26334.0394, mean_absolute_error: 0.1012, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9439, predictive_accuracy: 0.9443, prior_entropy: 0.863, recall: 0.9443, relative_absolute_error: 0.2479, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2073, root_relative_squared_error: 0.4589, scimark_benchmark: 1288.7379, usercpu_time_millis: 466.935, usercpu_time_millis_testing: 13.88, usercpu_time_millis_training: 453.055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9547, kappa: 0.8886, kb_relative_information_score: 27443.4882, mean_absolute_error: 0.0882, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9546, predictive_accuracy: 0.9548, prior_entropy: 0.863, recall: 0.9548, relative_absolute_error: 0.2162, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1898, root_relative_squared_error: 0.4201, scimark_benchmark: 1313.077, usercpu_time_millis: 1823.781, usercpu_time_millis_testing: 46.011, usercpu_time_millis_training: 1777.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9655, kappa: 0.9152, kb_relative_information_score: 29101.878, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9654, predictive_accuracy: 0.9656, prior_entropy: 0.863, recall: 0.9656, relative_absolute_error: 0.1675, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1641, root_relative_squared_error: 0.3632, scimark_benchmark: 1269.7507, usercpu_time_millis: 2550.848, usercpu_time_millis_testing: 73.946, usercpu_time_millis_training: 2476.902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9125, kappa: 0.7797, kb_relative_information_score: 16422.2736, mean_absolute_error: 0.2346, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9176, predictive_accuracy: 0.9156, prior_entropy: 0.863, recall: 0.9156, relative_absolute_error: 0.5748, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2917, root_relative_squared_error: 0.6457, scimark_benchmark: 1267.0595, usercpu_time_millis: 824.876, usercpu_time_millis_testing: 52.862, usercpu_time_millis_training: 772.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9627, kappa: 0.9084, kb_relative_information_score: 28305.4597, mean_absolute_error: 0.0797, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9627, predictive_accuracy: 0.9629, prior_entropy: 0.863, recall: 0.9629, relative_absolute_error: 0.1954, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1717, root_relative_squared_error: 0.3802, scimark_benchmark: 1275.3031, usercpu_time_millis: 2034.005, usercpu_time_millis_testing: 69.364, usercpu_time_millis_training: 1964.641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9616, kappa: 0.9058, kb_relative_information_score: 28638.1887, mean_absolute_error: 0.0733, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9616, predictive_accuracy: 0.9617, prior_entropy: 0.863, recall: 0.9617, relative_absolute_error: 0.1797, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1735, root_relative_squared_error: 0.3841, scimark_benchmark: 1273.8632, usercpu_time_millis: 4529.457, usercpu_time_millis_testing: 59.403, usercpu_time_millis_training: 4470.054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9645, kappa: 0.9129, kb_relative_information_score: 28971.4425, mean_absolute_error: 0.0699, 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: 0.1712, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1664, root_relative_squared_error: 0.3684, scimark_benchmark: 1268.3093, usercpu_time_millis: 565.415, usercpu_time_millis_testing: 15.338, usercpu_time_millis_training: 550.077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9496, kappa: 0.8759, kb_relative_information_score: 26500.1453, mean_absolute_error: 0.101, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9496, predictive_accuracy: 0.9499, prior_entropy: 0.863, recall: 0.9499, relative_absolute_error: 0.2476, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1994, root_relative_squared_error: 0.4413, scimark_benchmark: 1271.4116, usercpu_time_millis: 500.699, usercpu_time_millis_testing: 19.379, usercpu_time_millis_training: 481.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.955, kappa: 0.8896, kb_relative_information_score: 27835.3003, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9549, predictive_accuracy: 0.955, prior_entropy: 0.863, recall: 0.955, relative_absolute_error: 0.2024, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1866, root_relative_squared_error: 0.4131, scimark_benchmark: 1298.7722, usercpu_time_millis: 3733.891, usercpu_time_millis_testing: 50.877, usercpu_time_millis_training: 3683.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9607, kappa: 0.9033, kb_relative_information_score: 27994.2115, mean_absolute_error: 0.0834, 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: 0.2044, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1768, root_relative_squared_error: 0.3915, scimark_benchmark: 1291.0165, usercpu_time_millis: 233.157, usercpu_time_millis_testing: 10.587, usercpu_time_millis_training: 222.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.8675, kappa: 0.6613, kb_relative_information_score: 15352.5474, mean_absolute_error: 0.2521, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8893, predictive_accuracy: 0.8777, prior_entropy: 0.863, recall: 0.8777, relative_absolute_error: 0.6178, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3027, root_relative_squared_error: 0.6701, scimark_benchmark: 1275.9881, usercpu_time_millis: 411.301, usercpu_time_millis_testing: 36.345, usercpu_time_millis_training: 374.956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9317, kappa: 0.83, kb_relative_information_score: 23410.7589, mean_absolute_error: 0.1427, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9329, predictive_accuracy: 0.9329, prior_entropy: 0.863, recall: 0.9329, relative_absolute_error: 0.3496, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.23, root_relative_squared_error: 0.5092, scimark_benchmark: 1264.1524, usercpu_time_millis: 480.798, usercpu_time_millis_testing: 22.424, usercpu_time_millis_training: 458.374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9684, kappa: 0.9225, kb_relative_information_score: 29902.1139, mean_absolute_error: 0.0569, 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: 0.1394, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1577, root_relative_squared_error: 0.3491, scimark_benchmark: 1291.3773, usercpu_time_millis: 151.171, usercpu_time_millis_testing: 4.723, usercpu_time_millis_training: 146.448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9605, kappa: 0.9029, kb_relative_information_score: 28462.2257, mean_absolute_error: 0.0757, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9604, predictive_accuracy: 0.9606, prior_entropy: 0.863, recall: 0.9606, relative_absolute_error: 0.1856, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1761, root_relative_squared_error: 0.3899, scimark_benchmark: 1300.0938, usercpu_time_millis: 2254.886, usercpu_time_millis_testing: 60.68, usercpu_time_millis_training: 2194.206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9682, kappa: 0.9221, kb_relative_information_score: 29828.1615, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9682, predictive_accuracy: 0.9683, prior_entropy: 0.863, recall: 0.9683, relative_absolute_error: 0.1435, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1556, root_relative_squared_error: 0.3444, scimark_benchmark: 1281.6998, usercpu_time_millis: 689.934, usercpu_time_millis_testing: 10.643, usercpu_time_millis_training: 679.291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.951, kappa: 0.8793, kb_relative_information_score: 26391.1615, mean_absolute_error: 0.1035, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.951, predictive_accuracy: 0.9513, prior_entropy: 0.863, recall: 0.9513, relative_absolute_error: 0.2537, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.198, root_relative_squared_error: 0.4384, scimark_benchmark: 1265.9334, usercpu_time_millis: 1166.696, usercpu_time_millis_testing: 59.404, usercpu_time_millis_training: 1107.292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9402, kappa: 0.8518, kb_relative_information_score: 23954.0823, mean_absolute_error: 0.1365, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9407, predictive_accuracy: 0.941, prior_entropy: 0.863, recall: 0.941, relative_absolute_error: 0.3345, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2223, root_relative_squared_error: 0.4921, scimark_benchmark: 1272.4427, usercpu_time_millis: 229.231, usercpu_time_millis_testing: 16.766, usercpu_time_millis_training: 212.465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.965, kappa: 0.9141, kb_relative_information_score: 28994.356, mean_absolute_error: 0.0696, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.965, predictive_accuracy: 0.9651, prior_entropy: 0.863, recall: 0.9651, relative_absolute_error: 0.1706, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1661, root_relative_squared_error: 0.3677, scimark_benchmark: 1273.9431, usercpu_time_millis: 2236.179, usercpu_time_millis_testing: 70.091, usercpu_time_millis_training: 2166.088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9394, kappa: 0.8498, kb_relative_information_score: 25037.1894, mean_absolute_error: 0.1198, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9397, predictive_accuracy: 0.9401, prior_entropy: 0.863, recall: 0.9401, relative_absolute_error: 0.2935, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2165, root_relative_squared_error: 0.4794, scimark_benchmark: 1269.0351, usercpu_time_millis: 854.989, usercpu_time_millis_testing: 22.604, usercpu_time_millis_training: 832.385,

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