Task
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: 0.9926, f_measure: 0.9656, kappa: 0.9156, kb_relative_information_score: 29567.1238, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9656, predictive_accuracy: 0.9657, prior_entropy: 0.863, recall: 0.9657, relative_absolute_error: 0.1497, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1631, root_relative_squared_error: 0.3612, scimark_benchmark: 1274.9324, usercpu_time_millis: 91.836, usercpu_time_millis_testing: 4.379, usercpu_time_millis_training: 87.457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9669, kappa: 0.9187, kb_relative_information_score: 30011.9762, mean_absolute_error: 0.0548, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9668, predictive_accuracy: 0.9669, prior_entropy: 0.863, recall: 0.9669, relative_absolute_error: 0.1344, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1601, root_relative_squared_error: 0.3545, scimark_benchmark: 1271.1096, usercpu_time_millis: 305.617, usercpu_time_millis_testing: 5.511, usercpu_time_millis_training: 300.106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9611, kappa: 0.9044, kb_relative_information_score: 28714.6177, mean_absolute_error: 0.0723, 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: 0.1771, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1744, root_relative_squared_error: 0.3861, scimark_benchmark: 1257.1965, usercpu_time_millis: 736.276, usercpu_time_millis_testing: 11.185, usercpu_time_millis_training: 725.091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9677, kappa: 0.9208, kb_relative_information_score: 30070.9384, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9677, predictive_accuracy: 0.9677, prior_entropy: 0.863, recall: 0.9677, relative_absolute_error: 0.1321, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1602, root_relative_squared_error: 0.3547, scimark_benchmark: 1266.4896, usercpu_time_millis: 345.358, usercpu_time_millis_testing: 6.357, usercpu_time_millis_training: 339.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9677, kappa: 0.9207, kb_relative_information_score: 29750.6135, mean_absolute_error: 0.0593, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9676, predictive_accuracy: 0.9677, prior_entropy: 0.863, recall: 0.9677, relative_absolute_error: 0.1453, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1579, root_relative_squared_error: 0.3495, scimark_benchmark: 1268.323, usercpu_time_millis: 475.175, usercpu_time_millis_testing: 8.383, usercpu_time_millis_training: 466.792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9614, kappa: 0.9052, kb_relative_information_score: 28731.4457, mean_absolute_error: 0.0716, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9614, predictive_accuracy: 0.9615, prior_entropy: 0.863, recall: 0.9615, relative_absolute_error: 0.1755, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1759, root_relative_squared_error: 0.3893, scimark_benchmark: 1245.3674, usercpu_time_millis: 217.264, usercpu_time_millis_testing: 4.522, usercpu_time_millis_training: 212.742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9595, kappa: 0.8999, kb_relative_information_score: 26168.616, mean_absolute_error: 0.1116, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9597, predictive_accuracy: 0.9598, prior_entropy: 0.863, recall: 0.9598, relative_absolute_error: 0.2734, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1888, root_relative_squared_error: 0.418, scimark_benchmark: 1257.1058, usercpu_time_millis: 381.966, usercpu_time_millis_testing: 23.368, usercpu_time_millis_training: 358.598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9658, kappa: 0.9161, kb_relative_information_score: 29266.1451, mean_absolute_error: 0.0659, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9658, predictive_accuracy: 0.9659, prior_entropy: 0.863, recall: 0.9659, relative_absolute_error: 0.1615, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1635, root_relative_squared_error: 0.3619, scimark_benchmark: 1272.1723, usercpu_time_millis: 858.284, usercpu_time_millis_testing: 17.259, usercpu_time_millis_training: 841.025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9669, kappa: 0.9188, kb_relative_information_score: 29215.3015, mean_absolute_error: 0.0673, 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: 0.1649, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1615, root_relative_squared_error: 0.3576, scimark_benchmark: 1259.7534, usercpu_time_millis: 294.281, usercpu_time_millis_testing: 10.798, usercpu_time_millis_training: 283.483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9688, kappa: 0.9236, kb_relative_information_score: 29998.0568, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9688, predictive_accuracy: 0.9689, prior_entropy: 0.863, recall: 0.9689, relative_absolute_error: 0.1367, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1567, root_relative_squared_error: 0.347, scimark_benchmark: 1255.4857, usercpu_time_millis: 697.636, usercpu_time_millis_testing: 8.125, usercpu_time_millis_training: 689.511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9602, kappa: 0.9021, kb_relative_information_score: 28645.2522, mean_absolute_error: 0.0728, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9601, predictive_accuracy: 0.9603, prior_entropy: 0.863, recall: 0.9603, relative_absolute_error: 0.1784, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.177, root_relative_squared_error: 0.3918, scimark_benchmark: 1253.6818, usercpu_time_millis: 512.933, usercpu_time_millis_testing: 7.319, usercpu_time_millis_training: 505.614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.964, kappa: 0.9117, kb_relative_information_score: 29180.7797, mean_absolute_error: 0.0663, 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: 0.1625, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1682, root_relative_squared_error: 0.3723, scimark_benchmark: 1279.9106, usercpu_time_millis: 575.739, usercpu_time_millis_testing: 5.991, usercpu_time_millis_training: 569.748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9665, kappa: 0.9176, kb_relative_information_score: 29197.8531, mean_absolute_error: 0.0674, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9664, predictive_accuracy: 0.9665, prior_entropy: 0.863, recall: 0.9665, relative_absolute_error: 0.1653, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1617, root_relative_squared_error: 0.3579, scimark_benchmark: 1268.1022, usercpu_time_millis: 923.942, usercpu_time_millis_testing: 28.618, usercpu_time_millis_training: 895.324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9647, kappa: 0.9134, kb_relative_information_score: 29179.3564, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9647, predictive_accuracy: 0.9648, prior_entropy: 0.863, recall: 0.9648, relative_absolute_error: 0.1633, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1657, root_relative_squared_error: 0.3669, scimark_benchmark: 1275.9219, usercpu_time_millis: 717.499, usercpu_time_millis_testing: 14.462, usercpu_time_millis_training: 703.037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.965, kappa: 0.9141, kb_relative_information_score: 29310.578, mean_absolute_error: 0.0645, 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: 0.1581, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1675, root_relative_squared_error: 0.3709, scimark_benchmark: 1275.883, usercpu_time_millis: 748.713, usercpu_time_millis_testing: 5.753, usercpu_time_millis_training: 742.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9628, kappa: 0.9086, kb_relative_information_score: 28446.0183, mean_absolute_error: 0.0773, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9628, predictive_accuracy: 0.9629, prior_entropy: 0.863, recall: 0.9629, relative_absolute_error: 0.1894, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1719, root_relative_squared_error: 0.3804, scimark_benchmark: 1273.726, usercpu_time_millis: 278.722, usercpu_time_millis_testing: 14.414, usercpu_time_millis_training: 264.308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9314, kappa: 0.828, kb_relative_information_score: 19332.8973, mean_absolute_error: 0.2037, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9355, predictive_accuracy: 0.9335, prior_entropy: 0.863, recall: 0.9335, relative_absolute_error: 0.4991, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2607, root_relative_squared_error: 0.5772, scimark_benchmark: 1284.1606, usercpu_time_millis: 396.5, usercpu_time_millis_testing: 27.547, usercpu_time_millis_training: 368.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9608, kappa: 0.9037, kb_relative_information_score: 28673.3089, mean_absolute_error: 0.0725, 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: 0.1776, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1762, root_relative_squared_error: 0.3902, scimark_benchmark: 1283.5297, usercpu_time_millis: 538.194, usercpu_time_millis_testing: 9.372, usercpu_time_millis_training: 528.822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9606, kappa: 0.9032, kb_relative_information_score: 28333.0366, 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: 0.1756, root_relative_squared_error: 0.3887, scimark_benchmark: 1283.2978, usercpu_time_millis: 405.974, usercpu_time_millis_testing: 15.987, usercpu_time_millis_training: 389.987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9285, kappa: 0.8205, kb_relative_information_score: 19081.8325, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.933, predictive_accuracy: 0.9308, prior_entropy: 0.863, recall: 0.9308, relative_absolute_error: 0.5061, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2636, root_relative_squared_error: 0.5836, scimark_benchmark: 1291.5482, usercpu_time_millis: 956.111, usercpu_time_millis_testing: 74.169, usercpu_time_millis_training: 881.942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9584, kappa: 0.8977, kb_relative_information_score: 28208.6772, mean_absolute_error: 0.0784, 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: 0.1922, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1817, root_relative_squared_error: 0.4022, scimark_benchmark: 1297.4947, usercpu_time_millis: 326.491, usercpu_time_millis_testing: 10.165, usercpu_time_millis_training: 316.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9576, kappa: 0.8958, kb_relative_information_score: 28016.1156, mean_absolute_error: 0.0812, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9576, predictive_accuracy: 0.9577, prior_entropy: 0.863, recall: 0.9577, relative_absolute_error: 0.199, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1827, root_relative_squared_error: 0.4045, scimark_benchmark: 1289.6472, usercpu_time_millis: 449.345, usercpu_time_millis_testing: 16.412, usercpu_time_millis_training: 432.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9599, kappa: 0.9012, kb_relative_information_score: 27569.4193, mean_absolute_error: 0.0901, 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: 0.2208, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1793, root_relative_squared_error: 0.3969, scimark_benchmark: 1283.5475, usercpu_time_millis: 747.024, usercpu_time_millis_testing: 40.373, usercpu_time_millis_training: 706.651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.957, kappa: 0.8944, kb_relative_information_score: 28103.3416, mean_absolute_error: 0.0798, 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: 0.1956, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1838, root_relative_squared_error: 0.4069, scimark_benchmark: 1277.9442, usercpu_time_millis: 988.671, usercpu_time_millis_testing: 11.19, usercpu_time_millis_training: 977.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9616, kappa: 0.9052, kb_relative_information_score: 27316.539, mean_absolute_error: 0.0945, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9617, predictive_accuracy: 0.9618, prior_entropy: 0.863, recall: 0.9618, relative_absolute_error: 0.2315, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1796, root_relative_squared_error: 0.3976, scimark_benchmark: 1287.3349, usercpu_time_millis: 659.749, usercpu_time_millis_testing: 40.931, usercpu_time_millis_training: 618.818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.96, kappa: 0.9015, kb_relative_information_score: 28025.6403, mean_absolute_error: 0.0823, 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: 0.2016, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1785, root_relative_squared_error: 0.3952, scimark_benchmark: 1283.5233, usercpu_time_millis: 381.615, usercpu_time_millis_testing: 18.564, usercpu_time_millis_training: 363.051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9585, kappa: 0.898, kb_relative_information_score: 27853.0788, mean_absolute_error: 0.0845, 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: 0.207, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1809, root_relative_squared_error: 0.4005, scimark_benchmark: 1295.561, usercpu_time_millis: 646.541, usercpu_time_millis_testing: 40.117, usercpu_time_millis_training: 606.424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9655, kappa: 0.9153, kb_relative_information_score: 29643.9732, mean_absolute_error: 0.0599, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9654, predictive_accuracy: 0.9655, prior_entropy: 0.863, recall: 0.9655, relative_absolute_error: 0.1467, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1642, root_relative_squared_error: 0.3635, scimark_benchmark: 1279.9468, usercpu_time_millis: 708.81, usercpu_time_millis_testing: 4.358, usercpu_time_millis_training: 704.452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.964, kappa: 0.9115, kb_relative_information_score: 28491.8555, 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: 0.1899, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1687, root_relative_squared_error: 0.3735, scimark_benchmark: 1277.7582, usercpu_time_millis: 748.699, usercpu_time_millis_testing: 33.177, usercpu_time_millis_training: 715.522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.9329, kappa: 0.8372, kb_relative_information_score: 27577.3554, mean_absolute_error: 0.0776, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9343, predictive_accuracy: 0.9322, prior_entropy: 0.863, recall: 0.9322, relative_absolute_error: 0.1903, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2205, root_relative_squared_error: 0.4882, scimark_benchmark: 1297.1108, usercpu_time_millis: 34.982, usercpu_time_millis_testing: 2.663, usercpu_time_millis_training: 32.319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9637, kappa: 0.9108, kb_relative_information_score: 28996.7662, mean_absolute_error: 0.0688, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9636, predictive_accuracy: 0.9638, prior_entropy: 0.863, recall: 0.9638, relative_absolute_error: 0.1685, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1696, root_relative_squared_error: 0.3754, scimark_benchmark: 1278.2391, usercpu_time_millis: 446.494, usercpu_time_millis_testing: 7.288, usercpu_time_millis_training: 439.206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9225, kappa: 0.8049, kb_relative_information_score: 18366.7265, mean_absolute_error: 0.2153, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9281, predictive_accuracy: 0.9252, prior_entropy: 0.863, recall: 0.9252, relative_absolute_error: 0.5275, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2713, root_relative_squared_error: 0.6005, scimark_benchmark: 1291.2373, usercpu_time_millis: 715.533, usercpu_time_millis_testing: 52.514, usercpu_time_millis_training: 663.019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9594, kappa: 0.9004, kb_relative_information_score: 28490.3724, mean_absolute_error: 0.075, 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: 0.1837, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1773, root_relative_squared_error: 0.3925, scimark_benchmark: 1293.315, usercpu_time_millis: 86.641, usercpu_time_millis_testing: 4.945, usercpu_time_millis_training: 81.696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.963, kappa: 0.9092, kb_relative_information_score: 28905.7024, mean_absolute_error: 0.0699, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.963, predictive_accuracy: 0.9631, prior_entropy: 0.863, recall: 0.9631, relative_absolute_error: 0.1714, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1709, root_relative_squared_error: 0.3783, scimark_benchmark: 1269.5089, usercpu_time_millis: 872.804, usercpu_time_millis_testing: 13.351, usercpu_time_millis_training: 859.453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9601, kappa: 0.902, kb_relative_information_score: 28626.7078, mean_absolute_error: 0.0727, 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: 0.1781, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1785, root_relative_squared_error: 0.3951, scimark_benchmark: 1287.5194, usercpu_time_millis: 256.803, usercpu_time_millis_testing: 5.379, usercpu_time_millis_training: 251.424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9645, kappa: 0.9129, kb_relative_information_score: 29352.587, mean_absolute_error: 0.0638, 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: 0.1563, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1673, root_relative_squared_error: 0.3704, scimark_benchmark: 1289.1986, usercpu_time_millis: 478.137, usercpu_time_millis_testing: 4.268, usercpu_time_millis_training: 473.869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.967, kappa: 0.919, kb_relative_information_score: 29606.4263, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.967, predictive_accuracy: 0.967, prior_entropy: 0.863, recall: 0.967, relative_absolute_error: 0.1499, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1603, root_relative_squared_error: 0.3548, scimark_benchmark: 1302.065, usercpu_time_millis: 747.341, usercpu_time_millis_testing: 8.335, usercpu_time_millis_training: 739.006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.957, kappa: 0.8943, kb_relative_information_score: 28125.4948, mean_absolute_error: 0.0793, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9569, predictive_accuracy: 0.9571, prior_entropy: 0.863, recall: 0.9571, relative_absolute_error: 0.1943, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1838, root_relative_squared_error: 0.407, scimark_benchmark: 1288.8738, usercpu_time_millis: 174.794, usercpu_time_millis_testing: 6.696, usercpu_time_millis_training: 168.098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9653, kappa: 0.9148, kb_relative_information_score: 28687.9943, mean_absolute_error: 0.0748, 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: 0.1833, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1666, root_relative_squared_error: 0.3689, scimark_benchmark: 1298.7691, usercpu_time_millis: 222.678, usercpu_time_millis_testing: 11.063, usercpu_time_millis_training: 211.615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9592, kappa: 0.8997, kb_relative_information_score: 28004.621, mean_absolute_error: 0.0822, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9591, predictive_accuracy: 0.9593, prior_entropy: 0.863, recall: 0.9593, relative_absolute_error: 0.2014, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.18, root_relative_squared_error: 0.3984, scimark_benchmark: 1290.5493, usercpu_time_millis: 233.042, usercpu_time_millis_testing: 11.53, usercpu_time_millis_training: 221.512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9665, kappa: 0.9178, kb_relative_information_score: 29157.2413, mean_absolute_error: 0.068, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9665, predictive_accuracy: 0.9666, prior_entropy: 0.863, recall: 0.9666, relative_absolute_error: 0.1666, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1623, root_relative_squared_error: 0.3593, scimark_benchmark: 1298.3749, usercpu_time_millis: 382.793, usercpu_time_millis_testing: 14.653, usercpu_time_millis_training: 368.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9659, kappa: 0.9161, kb_relative_information_score: 28556.9115, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9659, predictive_accuracy: 0.966, prior_entropy: 0.863, recall: 0.966, relative_absolute_error: 0.1893, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1662, root_relative_squared_error: 0.3678, scimark_benchmark: 1278.1815, usercpu_time_millis: 683.479, usercpu_time_millis_testing: 27.98, usercpu_time_millis_training: 655.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9644, kappa: 0.9127, kb_relative_information_score: 29409.3523, mean_absolute_error: 0.0631, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9644, predictive_accuracy: 0.9645, prior_entropy: 0.863, recall: 0.9645, relative_absolute_error: 0.1546, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1669, root_relative_squared_error: 0.3696, scimark_benchmark: 1279.9545, usercpu_time_millis: 711.254, usercpu_time_millis_testing: 5.996, usercpu_time_millis_training: 705.258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9622, kappa: 0.9071, kb_relative_information_score: 28848.5457, mean_absolute_error: 0.0705, 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: 0.1727, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1723, root_relative_squared_error: 0.3814, scimark_benchmark: 1286.621, usercpu_time_millis: 112.86, usercpu_time_millis_testing: 4.186, usercpu_time_millis_training: 108.674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9646, kappa: 0.9132, kb_relative_information_score: 29314.6347, mean_absolute_error: 0.0646, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9646, predictive_accuracy: 0.9647, prior_entropy: 0.863, recall: 0.9647, relative_absolute_error: 0.1582, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1664, root_relative_squared_error: 0.3683, scimark_benchmark: 1283.909, usercpu_time_millis: 676.181, usercpu_time_millis_testing: 7.458, usercpu_time_millis_training: 668.723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9654, kappa: 0.915, kb_relative_information_score: 29214.0202, mean_absolute_error: 0.0666, 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: 0.1632, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1641, root_relative_squared_error: 0.3632, scimark_benchmark: 1290.5581, usercpu_time_millis: 408.759, usercpu_time_millis_testing: 10.149, usercpu_time_millis_training: 398.61,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9666, kappa: 0.9179, kb_relative_information_score: 28895.156, mean_absolute_error: 0.0723, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9666, predictive_accuracy: 0.9667, prior_entropy: 0.863, recall: 0.9667, relative_absolute_error: 0.1771, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.163, root_relative_squared_error: 0.361, scimark_benchmark: 1276.1428, usercpu_time_millis: 804.02, usercpu_time_millis_testing: 31.73, usercpu_time_millis_training: 772.29,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9583, kappa: 0.8976, kb_relative_information_score: 28334.4744, mean_absolute_error: 0.0768, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9583, predictive_accuracy: 0.9584, prior_entropy: 0.863, recall: 0.9584, relative_absolute_error: 0.1883, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1797, root_relative_squared_error: 0.3977, scimark_benchmark: 1271.0026, usercpu_time_millis: 111.162, usercpu_time_millis_testing: 5.051, usercpu_time_millis_training: 106.111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9596, kappa: 0.9009, kb_relative_information_score: 28480.0518, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9596, predictive_accuracy: 0.9597, prior_entropy: 0.863, recall: 0.9597, relative_absolute_error: 0.1841, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1779, root_relative_squared_error: 0.3937, scimark_benchmark: 1283.1652, usercpu_time_millis: 583.446, usercpu_time_millis_testing: 10.545, usercpu_time_millis_training: 572.901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9685, kappa: 0.9226, kb_relative_information_score: 30011.6696, mean_absolute_error: 0.0556, 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: 0.1362, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.156, root_relative_squared_error: 0.3453, scimark_benchmark: 1294.9069, usercpu_time_millis: 344.852, usercpu_time_millis_testing: 7.309, usercpu_time_millis_training: 337.543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9572, kappa: 0.8949, kb_relative_information_score: 28049.459, mean_absolute_error: 0.0807, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9572, predictive_accuracy: 0.9573, prior_entropy: 0.863, recall: 0.9573, relative_absolute_error: 0.1979, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1824, root_relative_squared_error: 0.4039, scimark_benchmark: 1291.9816, usercpu_time_millis: 451.518, usercpu_time_millis_testing: 15.833, usercpu_time_millis_training: 435.685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9586, kappa: 0.8981, kb_relative_information_score: 27885.7114, mean_absolute_error: 0.0837, 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: 0.2052, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1815, root_relative_squared_error: 0.4019, scimark_benchmark: 1290.163, usercpu_time_millis: 842.219, usercpu_time_millis_testing: 41.506, usercpu_time_millis_training: 800.713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9628, kappa: 0.9084, kb_relative_information_score: 28230.0316, mean_absolute_error: 0.0808, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9628, predictive_accuracy: 0.9629, prior_entropy: 0.863, recall: 0.9629, relative_absolute_error: 0.198, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1724, root_relative_squared_error: 0.3817, scimark_benchmark: 1285.1609, usercpu_time_millis: 89.922, usercpu_time_millis_testing: 4.819, usercpu_time_millis_training: 85.103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9638, kappa: 0.9112, kb_relative_information_score: 29071.0199, mean_absolute_error: 0.0679, 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: 0.1664, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1685, root_relative_squared_error: 0.3731, scimark_benchmark: 1285.818, usercpu_time_millis: 662.654, usercpu_time_millis_testing: 10.394, usercpu_time_millis_training: 652.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9238, kappa: 0.8084, kb_relative_information_score: 18586.8171, mean_absolute_error: 0.2127, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.929, predictive_accuracy: 0.9264, prior_entropy: 0.863, recall: 0.9264, relative_absolute_error: 0.5211, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2689, root_relative_squared_error: 0.5952, scimark_benchmark: 1270.4231, usercpu_time_millis: 448.06, usercpu_time_millis_testing: 34.373, usercpu_time_millis_training: 413.687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9645, kappa: 0.9128, kb_relative_information_score: 28479.4454, mean_absolute_error: 0.0777, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9645, predictive_accuracy: 0.9647, prior_entropy: 0.863, recall: 0.9647, relative_absolute_error: 0.1904, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1688, root_relative_squared_error: 0.3738, scimark_benchmark: 1289.5842, usercpu_time_millis: 805.115, usercpu_time_millis_testing: 41.138, usercpu_time_millis_training: 763.977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9342, kappa: 0.835, kb_relative_information_score: 19649.1965, mean_absolute_error: 0.1999, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9379, predictive_accuracy: 0.9361, prior_entropy: 0.863, recall: 0.9361, relative_absolute_error: 0.4898, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2572, root_relative_squared_error: 0.5693, scimark_benchmark: 1280.1924, usercpu_time_millis: 660.653, usercpu_time_millis_testing: 49.954, usercpu_time_millis_training: 610.699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9321, kappa: 0.8298, kb_relative_information_score: 19391.8923, mean_absolute_error: 0.203, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9361, predictive_accuracy: 0.9341, prior_entropy: 0.863, recall: 0.9341, relative_absolute_error: 0.4974, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.26, root_relative_squared_error: 0.5756, scimark_benchmark: 1289.156, usercpu_time_millis: 783.46, usercpu_time_millis_testing: 52.077, usercpu_time_millis_training: 731.383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9671, kappa: 0.9192, kb_relative_information_score: 29699.2453, mean_absolute_error: 0.0598, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9671, predictive_accuracy: 0.9671, prior_entropy: 0.863, recall: 0.9671, relative_absolute_error: 0.1465, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1605, root_relative_squared_error: 0.3553, scimark_benchmark: 1287.9009, usercpu_time_millis: 868.995, usercpu_time_millis_testing: 6.755, usercpu_time_millis_training: 862.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9584, kappa: 0.8978, kb_relative_information_score: 28314.7099, mean_absolute_error: 0.0773, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9584, predictive_accuracy: 0.9585, prior_entropy: 0.863, recall: 0.9585, relative_absolute_error: 0.1895, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1793, root_relative_squared_error: 0.397, scimark_benchmark: 1289.088, usercpu_time_millis: 476.36, usercpu_time_millis_testing: 11.51, usercpu_time_millis_training: 464.85,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9674, kappa: 0.9199, kb_relative_information_score: 29553.6831, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9673, predictive_accuracy: 0.9674, prior_entropy: 0.863, recall: 0.9674, relative_absolute_error: 0.1525, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1591, root_relative_squared_error: 0.3521, scimark_benchmark: 1274.4602, usercpu_time_millis: 602.617, usercpu_time_millis_testing: 13.056, usercpu_time_millis_training: 589.561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9577, kappa: 0.8961, kb_relative_information_score: 27988.5399, mean_absolute_error: 0.0816, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9577, predictive_accuracy: 0.9578, prior_entropy: 0.863, recall: 0.9578, relative_absolute_error: 0.2, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1827, root_relative_squared_error: 0.4045, scimark_benchmark: 1285.5724, usercpu_time_millis: 962.3, usercpu_time_millis_testing: 37.208, usercpu_time_millis_training: 925.092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9596, kappa: 0.9006, kb_relative_information_score: 28154.1788, mean_absolute_error: 0.0802, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9595, predictive_accuracy: 0.9597, prior_entropy: 0.863, recall: 0.9597, relative_absolute_error: 0.1966, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1783, root_relative_squared_error: 0.3947, scimark_benchmark: 1267.4557, usercpu_time_millis: 218.354, usercpu_time_millis_testing: 11.387, usercpu_time_millis_training: 206.967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9629, kappa: 0.909, kb_relative_information_score: 29164.6263, mean_absolute_error: 0.0662, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9629, predictive_accuracy: 0.963, prior_entropy: 0.863, recall: 0.963, relative_absolute_error: 0.1621, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1696, root_relative_squared_error: 0.3755, scimark_benchmark: 1281.5092, usercpu_time_millis: 594.129, usercpu_time_millis_testing: 7.715, usercpu_time_millis_training: 586.414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9628, kappa: 0.9086, kb_relative_information_score: 28697.6752, mean_absolute_error: 0.0734, 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: 0.1798, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1709, root_relative_squared_error: 0.3784, scimark_benchmark: 1285.6177, usercpu_time_millis: 70.818, usercpu_time_millis_testing: 5.027, usercpu_time_millis_training: 65.791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9612, kappa: 0.9047, kb_relative_information_score: 28788.4909, mean_absolute_error: 0.0709, 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: 0.1737, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1755, root_relative_squared_error: 0.3884, scimark_benchmark: 1285.4726, usercpu_time_millis: 384.137, usercpu_time_millis_testing: 4.261, usercpu_time_millis_training: 379.876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9656, kappa: 0.9156, kb_relative_information_score: 29249.4475, mean_absolute_error: 0.0659, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9656, predictive_accuracy: 0.9657, prior_entropy: 0.863, recall: 0.9657, relative_absolute_error: 0.1615, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1649, root_relative_squared_error: 0.3651, scimark_benchmark: 1269.7889, usercpu_time_millis: 530.297, usercpu_time_millis_testing: 10.127, usercpu_time_millis_training: 520.17,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9597, kappa: 0.9009, kb_relative_information_score: 27903.3941, mean_absolute_error: 0.0844, 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: 0.2067, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1789, root_relative_squared_error: 0.3961, scimark_benchmark: 1283.2319, usercpu_time_millis: 333.142, usercpu_time_millis_testing: 20.033, usercpu_time_millis_training: 313.109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9631, kappa: 0.9094, kb_relative_information_score: 28924.6862, mean_absolute_error: 0.0697, 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: 0.1707, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1709, root_relative_squared_error: 0.3782, scimark_benchmark: 1268.8824, usercpu_time_millis: 836.976, usercpu_time_millis_testing: 12.561, usercpu_time_millis_training: 824.415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9607, kappa: 0.9034, kb_relative_information_score: 28567.1755, mean_absolute_error: 0.0742, 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: 0.1819, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1755, root_relative_squared_error: 0.3884, scimark_benchmark: 1275.0314, usercpu_time_millis: 948.516, usercpu_time_millis_testing: 20.482, usercpu_time_millis_training: 928.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.966, kappa: 0.9164, kb_relative_information_score: 29316.7045, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9659, predictive_accuracy: 0.966, prior_entropy: 0.863, recall: 0.966, relative_absolute_error: 0.1594, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1633, root_relative_squared_error: 0.3616, scimark_benchmark: 1270.37, usercpu_time_millis: 633.866, usercpu_time_millis_testing: 13.954, usercpu_time_millis_training: 619.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9596, kappa: 0.9011, kb_relative_information_score: 29447.7389, mean_absolute_error: 0.0597, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9596, predictive_accuracy: 0.9596, prior_entropy: 0.863, recall: 0.9596, relative_absolute_error: 0.1463, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1783, root_relative_squared_error: 0.3947, scimark_benchmark: 1268.8529, usercpu_time_millis: 105.458, usercpu_time_millis_testing: 4.164, usercpu_time_millis_training: 101.294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9552, kappa: 0.8901, kb_relative_information_score: 28889.9973, mean_absolute_error: 0.0669, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9552, predictive_accuracy: 0.9553, prior_entropy: 0.863, recall: 0.9553, relative_absolute_error: 0.1639, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1857, root_relative_squared_error: 0.411, scimark_benchmark: 1283.0178, usercpu_time_millis: 104.627, usercpu_time_millis_testing: 3.626, usercpu_time_millis_training: 101.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9619, kappa: 0.9064, kb_relative_information_score: 28895.7668, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9618, predictive_accuracy: 0.9619, prior_entropy: 0.863, recall: 0.9619, relative_absolute_error: 0.1702, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1739, root_relative_squared_error: 0.3849, scimark_benchmark: 1274.3986, usercpu_time_millis: 205.715, usercpu_time_millis_testing: 4.239, usercpu_time_millis_training: 201.476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9618, kappa: 0.9062, kb_relative_information_score: 28643.1207, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9618, predictive_accuracy: 0.9619, prior_entropy: 0.863, recall: 0.9619, relative_absolute_error: 0.1803, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1728, root_relative_squared_error: 0.3825, scimark_benchmark: 1272.3722, usercpu_time_millis: 331.622, usercpu_time_millis_testing: 10.945, usercpu_time_millis_training: 320.677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9593, kappa: 0.9, kb_relative_information_score: 28032.4412, mean_absolute_error: 0.082, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9593, predictive_accuracy: 0.9595, prior_entropy: 0.863, recall: 0.9595, relative_absolute_error: 0.2009, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1792, root_relative_squared_error: 0.3967, scimark_benchmark: 1281.5728, usercpu_time_millis: 865.747, usercpu_time_millis_testing: 38.432, usercpu_time_millis_training: 827.315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9615, kappa: 0.9052, kb_relative_information_score: 28308.694, mean_absolute_error: 0.0787, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9614, predictive_accuracy: 0.9616, prior_entropy: 0.863, recall: 0.9616, relative_absolute_error: 0.1928, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1747, root_relative_squared_error: 0.3868, scimark_benchmark: 1264.5566, usercpu_time_millis: 927.998, usercpu_time_millis_testing: 41.99, usercpu_time_millis_training: 886.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9612, kappa: 0.9045, kb_relative_information_score: 28772.2091, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9611, predictive_accuracy: 0.9613, prior_entropy: 0.863, recall: 0.9613, relative_absolute_error: 0.1745, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1751, root_relative_squared_error: 0.3877, scimark_benchmark: 1277.6312, usercpu_time_millis: 752.651, usercpu_time_millis_testing: 7.352, usercpu_time_millis_training: 745.299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9648, kappa: 0.9136, kb_relative_information_score: 29372.3451, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9648, predictive_accuracy: 0.9649, prior_entropy: 0.863, recall: 0.9649, relative_absolute_error: 0.1562, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1664, root_relative_squared_error: 0.3685, scimark_benchmark: 1255.5268, usercpu_time_millis: 797.846, usercpu_time_millis_testing: 6.809, usercpu_time_millis_training: 791.037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9667, kappa: 0.918, kb_relative_information_score: 28614.4276, mean_absolute_error: 0.0764, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9666, predictive_accuracy: 0.9668, prior_entropy: 0.863, recall: 0.9668, relative_absolute_error: 0.1872, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1655, root_relative_squared_error: 0.3664, scimark_benchmark: 1283.8114, usercpu_time_millis: 627.8, usercpu_time_millis_testing: 30.188, usercpu_time_millis_training: 597.612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9638, kappa: 0.911, kb_relative_information_score: 28795.5418, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9637, predictive_accuracy: 0.9639, prior_entropy: 0.863, recall: 0.9639, relative_absolute_error: 0.1776, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1682, root_relative_squared_error: 0.3723, scimark_benchmark: 1276.2199, usercpu_time_millis: 225.665, usercpu_time_millis_testing: 11.099, usercpu_time_millis_training: 214.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9628, kappa: 0.9086, kb_relative_information_score: 28310.728, mean_absolute_error: 0.0795, 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: 0.1948, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1722, root_relative_squared_error: 0.3812, scimark_benchmark: 1278.9568, usercpu_time_millis: 949.84, usercpu_time_millis_testing: 45.457, usercpu_time_millis_training: 904.383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9633, kappa: 0.9098, kb_relative_information_score: 28045.0832, mean_absolute_error: 0.0839, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9633, predictive_accuracy: 0.9635, prior_entropy: 0.863, recall: 0.9635, relative_absolute_error: 0.2057, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.173, root_relative_squared_error: 0.3829, scimark_benchmark: 1269.408, usercpu_time_millis: 411.541, usercpu_time_millis_testing: 23.283, usercpu_time_millis_training: 388.258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9631, kappa: 0.9094, kb_relative_information_score: 28647.5126, mean_absolute_error: 0.0744, 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: 0.1823, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1698, root_relative_squared_error: 0.3759, scimark_benchmark: 1277.6657, usercpu_time_millis: 640.152, usercpu_time_millis_testing: 24.25, usercpu_time_millis_training: 615.902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9666, kappa: 0.9181, kb_relative_information_score: 29631.2551, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9666, predictive_accuracy: 0.9667, prior_entropy: 0.863, recall: 0.9667, relative_absolute_error: 0.148, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1621, root_relative_squared_error: 0.3589, scimark_benchmark: 1263.5501, usercpu_time_millis: 180.394, usercpu_time_millis_testing: 4.677, usercpu_time_millis_training: 175.717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9646, kappa: 0.9131, kb_relative_information_score: 29412.6531, mean_absolute_error: 0.063, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9646, predictive_accuracy: 0.9647, prior_entropy: 0.863, recall: 0.9647, relative_absolute_error: 0.1545, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1669, root_relative_squared_error: 0.3696, scimark_benchmark: 1274.968, usercpu_time_millis: 670.003, usercpu_time_millis_testing: 5.027, usercpu_time_millis_training: 664.976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9328, kappa: 0.8315, kb_relative_information_score: 19430.1455, mean_absolute_error: 0.2024, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9366, predictive_accuracy: 0.9347, prior_entropy: 0.863, recall: 0.9347, relative_absolute_error: 0.496, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2597, root_relative_squared_error: 0.5748, scimark_benchmark: 1271.2207, usercpu_time_millis: 782.434, usercpu_time_millis_testing: 52.365, usercpu_time_millis_training: 730.069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9657, kappa: 0.9159, kb_relative_information_score: 29759.2676, mean_absolute_error: 0.0582, 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: 0.1426, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1637, root_relative_squared_error: 0.3625, scimark_benchmark: 1259.6342, usercpu_time_millis: 894.057, usercpu_time_millis_testing: 4.825, usercpu_time_millis_training: 889.232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9619, kappa: 0.9065, kb_relative_information_score: 28738.7415, mean_absolute_error: 0.0721, 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: 0.1768, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1726, root_relative_squared_error: 0.3821, scimark_benchmark: 1257.0966, usercpu_time_millis: 810.141, usercpu_time_millis_testing: 18.776, usercpu_time_millis_training: 791.365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9659, kappa: 0.9163, kb_relative_information_score: 29365.5605, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9659, predictive_accuracy: 0.966, prior_entropy: 0.863, recall: 0.966, relative_absolute_error: 0.158, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1628, root_relative_squared_error: 0.3603, scimark_benchmark: 1270.1891, usercpu_time_millis: 882.094, usercpu_time_millis_testing: 16.722, usercpu_time_millis_training: 865.372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.9439, kappa: 0.8613, kb_relative_information_score: 24734.514, mean_absolute_error: 0.1256, 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: 0.3077, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2154, root_relative_squared_error: 0.4768, scimark_benchmark: 1260.7885, usercpu_time_millis: 59.597, usercpu_time_millis_testing: 3.921, usercpu_time_millis_training: 55.676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.965, kappa: 0.914, kb_relative_information_score: 29512.9587, mean_absolute_error: 0.0617, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9649, predictive_accuracy: 0.965, prior_entropy: 0.863, recall: 0.965, relative_absolute_error: 0.1511, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1655, root_relative_squared_error: 0.3663, scimark_benchmark: 1279.7803, usercpu_time_millis: 651.612, usercpu_time_millis_testing: 5.853, usercpu_time_millis_training: 645.759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9618, kappa: 0.9062, kb_relative_information_score: 28590.8045, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9618, predictive_accuracy: 0.9619, prior_entropy: 0.863, recall: 0.9619, relative_absolute_error: 0.1827, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1728, root_relative_squared_error: 0.3825, scimark_benchmark: 1275.5049, usercpu_time_millis: 417.751, usercpu_time_millis_testing: 15.089, usercpu_time_millis_training: 402.662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9653, kappa: 0.9149, kb_relative_information_score: 29432.7131, mean_absolute_error: 0.0633, 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: 0.1551, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1628, root_relative_squared_error: 0.3604, scimark_benchmark: 1258.9351, usercpu_time_millis: 286.588, usercpu_time_millis_testing: 7.834, usercpu_time_millis_training: 278.754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.968, kappa: 0.9214, kb_relative_information_score: 29752.8556, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9679, predictive_accuracy: 0.968, prior_entropy: 0.863, recall: 0.968, relative_absolute_error: 0.1459, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1569, root_relative_squared_error: 0.3473, scimark_benchmark: 1272.1363, usercpu_time_millis: 637.973, usercpu_time_millis_testing: 10.078, usercpu_time_millis_training: 627.895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.959, kappa: 0.8994, kb_relative_information_score: 28389.1036, mean_absolute_error: 0.076, 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: 0.1863, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1793, root_relative_squared_error: 0.397, scimark_benchmark: 1257.8347, usercpu_time_millis: 127.301, usercpu_time_millis_testing: 5.898, usercpu_time_millis_training: 121.403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9587, kappa: 0.8985, kb_relative_information_score: 28369.616, mean_absolute_error: 0.0764, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9586, predictive_accuracy: 0.9588, prior_entropy: 0.863, recall: 0.9588, relative_absolute_error: 0.1873, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.18, root_relative_squared_error: 0.3984, scimark_benchmark: 1258.8856, usercpu_time_millis: 421.966, usercpu_time_millis_testing: 8.855, usercpu_time_millis_training: 413.111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9618, kappa: 0.906, kb_relative_information_score: 28327.7239, mean_absolute_error: 0.0785, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9617, predictive_accuracy: 0.9619, prior_entropy: 0.863, recall: 0.9619, relative_absolute_error: 0.1924, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1744, root_relative_squared_error: 0.3861, scimark_benchmark: 1258.6133, usercpu_time_millis: 669.21, usercpu_time_millis_testing: 30.008, usercpu_time_millis_training: 639.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9622, kappa: 0.9072, kb_relative_information_score: 29341.1622, mean_absolute_error: 0.0628, 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: 0.1538, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.172, root_relative_squared_error: 0.3809, scimark_benchmark: 1266.5168, usercpu_time_millis: 130.347, usercpu_time_millis_testing: 4.793, usercpu_time_millis_training: 125.554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9581, kappa: 0.897, kb_relative_information_score: 28280.2784, mean_absolute_error: 0.0776, 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: 0.1901, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1812, root_relative_squared_error: 0.4012, scimark_benchmark: 1278.0996, usercpu_time_millis: 640.512, usercpu_time_millis_testing: 11.355, usercpu_time_millis_training: 629.157,

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