Task
Supervised Classification on madelon

Supervised Classification on madelon

Task 145853 Supervised Classification madelon 38804 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8679, f_measure: 0.7968, kappa: 0.5938, kb_relative_information_score: 830.981, mean_absolute_error: 0.3609, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7977, predictive_accuracy: 0.7969, prior_entropy: 1, recall: 0.7969, relative_absolute_error: 0.7218, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3999, root_relative_squared_error: 0.7998, scimark_benchmark: 1734.3333, usercpu_time_millis: 449.488, usercpu_time_millis_testing: 1.031, usercpu_time_millis_training: 448.457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8603, f_measure: 0.7748, kappa: 0.5508, kb_relative_information_score: 709.2765, mean_absolute_error: 0.3836, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7783, predictive_accuracy: 0.7754, prior_entropy: 1, recall: 0.7754, relative_absolute_error: 0.7672, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4123, root_relative_squared_error: 0.8246, scimark_benchmark: 1907.0693, usercpu_time_millis: 130.259, usercpu_time_millis_testing: 0.676, usercpu_time_millis_training: 129.583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7206, f_measure: 0.6562, kappa: 0.3131, kb_relative_information_score: 144.3136, mean_absolute_error: 0.4793, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6572, predictive_accuracy: 0.6565, prior_entropy: 1, recall: 0.6565, relative_absolute_error: 0.9586, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4817, root_relative_squared_error: 0.9634, scimark_benchmark: 1699.6528, usercpu_time_millis: 81.471, usercpu_time_millis_testing: 3.308, usercpu_time_millis_training: 78.163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6897, f_measure: 0.6338, kappa: 0.2685, kb_relative_information_score: 105.6651, mean_absolute_error: 0.485, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6348, predictive_accuracy: 0.6342, prior_entropy: 1, recall: 0.6342, relative_absolute_error: 0.97, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4867, root_relative_squared_error: 0.9735, scimark_benchmark: 1728.9285, usercpu_time_millis: 26.863, usercpu_time_millis_testing: 1.422, usercpu_time_millis_training: 25.441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.683, f_measure: 0.625, kappa: 0.25, kb_relative_information_score: 71.8115, mean_absolute_error: 0.49, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.625, predictive_accuracy: 0.625, prior_entropy: 1, recall: 0.625, relative_absolute_error: 0.98, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4908, root_relative_squared_error: 0.9816, scimark_benchmark: 1728.4686, usercpu_time_millis: 33.59, usercpu_time_millis_testing: 2.103, usercpu_time_millis_training: 31.487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6725, f_measure: 0.6161, kappa: 0.2323, kb_relative_information_score: 48.5641, mean_absolute_error: 0.4933, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6162, predictive_accuracy: 0.6162, prior_entropy: 1, recall: 0.6162, relative_absolute_error: 0.9866, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4937, root_relative_squared_error: 0.9875, scimark_benchmark: 1730.591, usercpu_time_millis: 14.36, usercpu_time_millis_testing: 1.097, usercpu_time_millis_training: 13.263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6714, f_measure: 0.6207, kappa: 0.2415, kb_relative_information_score: 64.5448, mean_absolute_error: 0.491, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6208, predictive_accuracy: 0.6208, prior_entropy: 1, recall: 0.6208, relative_absolute_error: 0.982, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4918, root_relative_squared_error: 0.9836, scimark_benchmark: 1734.2699, usercpu_time_millis: 22.903, usercpu_time_millis_testing: 1.791, usercpu_time_millis_training: 21.112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6964, f_measure: 0.6237, kappa: 0.2477, kb_relative_information_score: 102.8306, mean_absolute_error: 0.4854, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.624, predictive_accuracy: 0.6238, prior_entropy: 1, recall: 0.6238, relative_absolute_error: 0.9709, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.487, root_relative_squared_error: 0.9739, scimark_benchmark: 1733.7613, usercpu_time_millis: 14.365, usercpu_time_millis_testing: 0.916, usercpu_time_millis_training: 13.449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6706, f_measure: 0.6158, kappa: 0.2315, kb_relative_information_score: 57.6772, mean_absolute_error: 0.492, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6158, predictive_accuracy: 0.6158, prior_entropy: 1, recall: 0.6158, relative_absolute_error: 0.984, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4926, root_relative_squared_error: 0.9853, scimark_benchmark: 1736.1564, usercpu_time_millis: 14.554, usercpu_time_millis_testing: 1.214, usercpu_time_millis_training: 13.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6857, f_measure: 0.6203, kappa: 0.2408, kb_relative_information_score: 77.0484, mean_absolute_error: 0.4892, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6204, predictive_accuracy: 0.6204, prior_entropy: 1, recall: 0.6204, relative_absolute_error: 0.9784, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4901, root_relative_squared_error: 0.9803, scimark_benchmark: 1730.7008, usercpu_time_millis: 13.03, usercpu_time_millis_testing: 0.914, usercpu_time_millis_training: 12.116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6131, f_measure: 0.5757, kappa: 0.1515, kb_relative_information_score: 30.1152, mean_absolute_error: 0.4959, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5758, predictive_accuracy: 0.5758, prior_entropy: 1, recall: 0.5758, relative_absolute_error: 0.9917, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4963, root_relative_squared_error: 0.9926, scimark_benchmark: 1731.163, usercpu_time_millis: 9.745, usercpu_time_millis_testing: 0.89, usercpu_time_millis_training: 8.855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6679, f_measure: 0.6122, kappa: 0.2246, kb_relative_information_score: 46.4123, mean_absolute_error: 0.4936, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6124, predictive_accuracy: 0.6123, prior_entropy: 1, recall: 0.6123, relative_absolute_error: 0.9872, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.494, root_relative_squared_error: 0.9881, scimark_benchmark: 1729.7915, usercpu_time_millis: 6.845, usercpu_time_millis_testing: 0.826, usercpu_time_millis_training: 6.019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6609, f_measure: 0.6065, kappa: 0.2131, kb_relative_information_score: 42.2502, mean_absolute_error: 0.4942, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6065, predictive_accuracy: 0.6065, prior_entropy: 1, recall: 0.6065, relative_absolute_error: 0.9884, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4946, root_relative_squared_error: 0.9891, scimark_benchmark: 1725.723, usercpu_time_millis: 5.837, usercpu_time_millis_testing: 0.642, usercpu_time_millis_training: 5.195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.659, f_measure: 0.6117, kappa: 0.2238, kb_relative_information_score: 91.8887, mean_absolute_error: 0.4869, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6122, predictive_accuracy: 0.6119, prior_entropy: 1, recall: 0.6119, relative_absolute_error: 0.9738, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4888, root_relative_squared_error: 0.9777, scimark_benchmark: 1731.5003, usercpu_time_millis: 2.738, usercpu_time_millis_testing: 0.274, usercpu_time_millis_training: 2.464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8208, f_measure: 0.7407, kappa: 0.4846, kb_relative_information_score: 523.7426, mean_absolute_error: 0.4168, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7483, predictive_accuracy: 0.7423, prior_entropy: 1, recall: 0.7423, relative_absolute_error: 0.8336, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4357, root_relative_squared_error: 0.8715, scimark_benchmark: 1724.5497, usercpu_time_millis: 337.014, usercpu_time_millis_testing: 1.81, usercpu_time_millis_training: 335.204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1728.4686, usercpu_time_millis: 3.042, usercpu_time_millis_testing: 0.376, usercpu_time_millis_training: 2.666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8778, f_measure: 0.8109, kappa: 0.6223, kb_relative_information_score: 830.264, mean_absolute_error: 0.3623, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8126, predictive_accuracy: 0.8112, prior_entropy: 1, recall: 0.8112, relative_absolute_error: 0.7247, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3972, root_relative_squared_error: 0.7943, scimark_benchmark: 1734.2259, usercpu_time_millis: 184.593, usercpu_time_millis_testing: 0.526, usercpu_time_millis_training: 184.067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7847, f_measure: 0.7101, kappa: 0.4254, kb_relative_information_score: 496.6594, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7205, predictive_accuracy: 0.7127, prior_entropy: 1, recall: 0.7127, relative_absolute_error: 0.84, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4431, root_relative_squared_error: 0.8861, scimark_benchmark: 1728.0111, usercpu_time_millis: 97.865, usercpu_time_millis_testing: 0.433, usercpu_time_millis_training: 97.432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6387, f_measure: 0.6161, kappa: 0.2331, kb_relative_information_score: 185.8785, mean_absolute_error: 0.4724, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6171, predictive_accuracy: 0.6165, prior_entropy: 1, recall: 0.6165, relative_absolute_error: 0.9448, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4853, root_relative_squared_error: 0.9705, scimark_benchmark: 1733.3606, usercpu_time_millis: 37.999, usercpu_time_millis_testing: 0.671, usercpu_time_millis_training: 37.328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8953, f_measure: 0.8163, kappa: 0.6331, kb_relative_information_score: 779.0113, mean_absolute_error: 0.3736, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.818, predictive_accuracy: 0.8165, prior_entropy: 1, recall: 0.8165, relative_absolute_error: 0.7472, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3983, root_relative_squared_error: 0.7966, scimark_benchmark: 1730.8446, usercpu_time_millis: 38.595, usercpu_time_millis_testing: 0.498, usercpu_time_millis_training: 38.097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6767, f_measure: 0.6272, kappa: 0.2546, kb_relative_information_score: 99.1247, mean_absolute_error: 0.4859, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6274, predictive_accuracy: 0.6273, prior_entropy: 1, recall: 0.6273, relative_absolute_error: 0.9718, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4877, root_relative_squared_error: 0.9755, scimark_benchmark: 1738.7921, usercpu_time_millis: 15.925, usercpu_time_millis_testing: 0.924, usercpu_time_millis_training: 15.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1706.1346, usercpu_time_millis: 5.962, usercpu_time_millis_testing: 1.128, usercpu_time_millis_training: 4.834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4949, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1737.5279, usercpu_time_millis: 4.047, usercpu_time_millis_testing: 0.736, usercpu_time_millis_training: 3.311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4792, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1725.3223, usercpu_time_millis: 3.193, usercpu_time_millis_testing: 0.547, usercpu_time_millis_training: 2.646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9266, f_measure: 0.8608, kappa: 0.7215, kb_relative_information_score: 1120.9848, mean_absolute_error: 0.3101, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.861, predictive_accuracy: 0.8608, prior_entropy: 1, recall: 0.8608, relative_absolute_error: 0.6201, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3526, root_relative_squared_error: 0.7052, scimark_benchmark: 1729.728, usercpu_time_millis: 876.149, usercpu_time_millis_testing: 2.904, usercpu_time_millis_training: 873.245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8572, f_measure: 0.7781, kappa: 0.5562, kb_relative_information_score: 800.3471, mean_absolute_error: 0.3653, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7781, predictive_accuracy: 0.7781, prior_entropy: 1, recall: 0.7781, relative_absolute_error: 0.7305, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4054, root_relative_squared_error: 0.8109, scimark_benchmark: 1725.3223, usercpu_time_millis: 854.326, usercpu_time_millis_testing: 1.427, usercpu_time_millis_training: 852.899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9087, f_measure: 0.8407, kappa: 0.6815, kb_relative_information_score: 1365.2422, mean_absolute_error: 0.255, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.841, predictive_accuracy: 0.8408, prior_entropy: 1, recall: 0.8408, relative_absolute_error: 0.51, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.345, root_relative_squared_error: 0.6899, scimark_benchmark: 1861.8263, usercpu_time_millis: 727.812, usercpu_time_millis_testing: 0.832, usercpu_time_millis_training: 726.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.907, f_measure: 0.8384, kappa: 0.6769, kb_relative_information_score: 986.3396, mean_absolute_error: 0.3347, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8387, predictive_accuracy: 0.8385, prior_entropy: 1, recall: 0.8385, relative_absolute_error: 0.6695, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3733, root_relative_squared_error: 0.7466, scimark_benchmark: 1715.1285, usercpu_time_millis: 669.61, usercpu_time_millis_testing: 1.715, usercpu_time_millis_training: 667.895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, f_measure: 0.86, kappa: 0.72, kb_relative_information_score: 1274.3688, mean_absolute_error: 0.2779, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.86, predictive_accuracy: 0.86, prior_entropy: 1, recall: 0.86, relative_absolute_error: 0.5559, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3382, root_relative_squared_error: 0.6765, scimark_benchmark: 1724.8648, usercpu_time_millis: 564.812, usercpu_time_millis_testing: 1.357, usercpu_time_millis_training: 563.455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8853, f_measure: 0.8172, kappa: 0.6346, kb_relative_information_score: 833.0034, mean_absolute_error: 0.3625, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8181, predictive_accuracy: 0.8173, prior_entropy: 1, recall: 0.8173, relative_absolute_error: 0.7251, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3949, root_relative_squared_error: 0.7897, scimark_benchmark: 1731.5618, usercpu_time_millis: 475.962, usercpu_time_millis_testing: 1.41, usercpu_time_millis_training: 474.552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8176, f_measure: 0.7417, kappa: 0.4862, kb_relative_information_score: 610.5115, mean_absolute_error: 0.3998, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7483, predictive_accuracy: 0.7431, prior_entropy: 1, recall: 0.7431, relative_absolute_error: 0.7995, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4287, root_relative_squared_error: 0.8575, scimark_benchmark: 1725.3223, usercpu_time_millis: 218.65, usercpu_time_millis_testing: 0.785, usercpu_time_millis_training: 217.865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, f_measure: 0.7944, kappa: 0.5892, kb_relative_information_score: 772.1776, mean_absolute_error: 0.3727, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7959, predictive_accuracy: 0.7946, prior_entropy: 1, recall: 0.7946, relative_absolute_error: 0.7454, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4044, root_relative_squared_error: 0.8088, scimark_benchmark: 1726.7133, usercpu_time_millis: 119.269, usercpu_time_millis_testing: 0.465, usercpu_time_millis_training: 118.804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7993, f_measure: 0.7247, kappa: 0.4523, kb_relative_information_score: 459.0558, mean_absolute_error: 0.4277, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7312, predictive_accuracy: 0.7262, prior_entropy: 1, recall: 0.7262, relative_absolute_error: 0.8554, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4439, root_relative_squared_error: 0.8879, scimark_benchmark: 1713.9419, usercpu_time_millis: 118.692, usercpu_time_millis_testing: 1.308, usercpu_time_millis_training: 117.384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7348, f_measure: 0.6749, kappa: 0.3585, kb_relative_information_score: 395.5989, mean_absolute_error: 0.437, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6893, predictive_accuracy: 0.6792, prior_entropy: 1, recall: 0.6792, relative_absolute_error: 0.8739, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4594, root_relative_squared_error: 0.9187, scimark_benchmark: 1730.1287, usercpu_time_millis: 103.852, usercpu_time_millis_testing: 0.671, usercpu_time_millis_training: 103.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7008, f_measure: 0.6324, kappa: 0.2654, kb_relative_information_score: 110.622, mean_absolute_error: 0.4843, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6331, predictive_accuracy: 0.6327, prior_entropy: 1, recall: 0.6327, relative_absolute_error: 0.9686, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.486, root_relative_squared_error: 0.972, scimark_benchmark: 1716.4902, usercpu_time_millis: 36.093, usercpu_time_millis_testing: 1.615, usercpu_time_millis_training: 34.478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7066, f_measure: 0.6376, kappa: 0.2762, kb_relative_information_score: 128.9789, mean_absolute_error: 0.4815, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6388, predictive_accuracy: 0.6381, prior_entropy: 1, recall: 0.6381, relative_absolute_error: 0.963, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4837, root_relative_squared_error: 0.9674, scimark_benchmark: 1726.6494, usercpu_time_millis: 27.364, usercpu_time_millis_testing: 1.299, usercpu_time_millis_training: 26.065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.673, f_measure: 0.6149, kappa: 0.23, kb_relative_information_score: 66.2057, mean_absolute_error: 0.4908, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6151, predictive_accuracy: 0.615, prior_entropy: 1, recall: 0.615, relative_absolute_error: 0.9815, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4915, root_relative_squared_error: 0.9831, scimark_benchmark: 1732.8983, usercpu_time_millis: 24.539, usercpu_time_millis_testing: 1.693, usercpu_time_millis_training: 22.846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8843, f_measure: 0.8142, kappa: 0.6285, kb_relative_information_score: 1376.3468, mean_absolute_error: 0.2469, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8143, predictive_accuracy: 0.8142, prior_entropy: 1, recall: 0.8142, relative_absolute_error: 0.4937, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3694, root_relative_squared_error: 0.7388, scimark_benchmark: 1839.9263, usercpu_time_millis: 2322.047, usercpu_time_millis_testing: 2.459, usercpu_time_millis_training: 2319.588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6752, f_measure: 0.6154, kappa: 0.2308, kb_relative_information_score: 83.9271, mean_absolute_error: 0.4882, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6154, predictive_accuracy: 0.6154, prior_entropy: 1, recall: 0.6154, relative_absolute_error: 0.9764, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4895, root_relative_squared_error: 0.979, scimark_benchmark: 1728.4118, usercpu_time_millis: 21.082, usercpu_time_millis_testing: 1.503, usercpu_time_millis_training: 19.579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7276, f_measure: 0.656, kappa: 0.3138, kb_relative_information_score: 232.3355, mean_absolute_error: 0.4654, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6586, predictive_accuracy: 0.6569, prior_entropy: 1, recall: 0.6569, relative_absolute_error: 0.9307, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4719, root_relative_squared_error: 0.9437, scimark_benchmark: 1726.4775, usercpu_time_millis: 30.487, usercpu_time_millis_testing: 0.787, usercpu_time_millis_training: 29.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7356, f_measure: 0.6882, kappa: 0.38, kb_relative_information_score: 361.9756, mean_absolute_error: 0.4433, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6945, predictive_accuracy: 0.69, prior_entropy: 1, recall: 0.69, relative_absolute_error: 0.8866, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4603, root_relative_squared_error: 0.9205, scimark_benchmark: 1068.1197, usercpu_time_millis: 43.474, usercpu_time_millis_testing: 0.779, usercpu_time_millis_training: 42.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6874, f_measure: 0.6188, kappa: 0.2377, kb_relative_information_score: 92.268, mean_absolute_error: 0.487, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6189, predictive_accuracy: 0.6188, prior_entropy: 1, recall: 0.6188, relative_absolute_error: 0.9739, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4883, root_relative_squared_error: 0.9766, scimark_benchmark: 1734.3333, usercpu_time_millis: 5.068, usercpu_time_millis_testing: 0.407, usercpu_time_millis_training: 4.661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6437, f_measure: 0.6096, kappa: 0.2192, kb_relative_information_score: 49.4086, mean_absolute_error: 0.4931, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6097, predictive_accuracy: 0.6096, prior_entropy: 1, recall: 0.6096, relative_absolute_error: 0.9863, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4938, root_relative_squared_error: 0.9877, scimark_benchmark: 1721.8563, usercpu_time_millis: 5.499, usercpu_time_millis_testing: 0.597, usercpu_time_millis_training: 4.902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4949, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1728.9285, usercpu_time_millis: 2.848, usercpu_time_millis_testing: 0.336, usercpu_time_millis_training: 2.512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1731.5003, usercpu_time_millis: 4.759, usercpu_time_millis_testing: 0.699, usercpu_time_millis_training: 4.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8054, f_measure: 0.7354, kappa: 0.4746, kb_relative_information_score: 536.0912, mean_absolute_error: 0.4137, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7445, predictive_accuracy: 0.7373, prior_entropy: 1, recall: 0.7373, relative_absolute_error: 0.8274, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4368, root_relative_squared_error: 0.8736, scimark_benchmark: 1671.9728, usercpu_time_millis: 1346.24, usercpu_time_millis_testing: 4.805, usercpu_time_millis_training: 1341.435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.915, f_measure: 0.8446, kappa: 0.6892, kb_relative_information_score: 1099.3234, mean_absolute_error: 0.313, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8448, predictive_accuracy: 0.8446, prior_entropy: 1, recall: 0.8446, relative_absolute_error: 0.626, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3594, root_relative_squared_error: 0.7187, scimark_benchmark: 1732.9618, usercpu_time_millis: 764.282, usercpu_time_millis_testing: 2.13, usercpu_time_millis_training: 762.152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8461, f_measure: 0.7596, kappa: 0.5215, kb_relative_information_score: 671.4097, mean_absolute_error: 0.3901, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7659, predictive_accuracy: 0.7608, prior_entropy: 1, recall: 0.7608, relative_absolute_error: 0.7802, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4188, root_relative_squared_error: 0.8376, scimark_benchmark: 1723.6152, usercpu_time_millis: 749.074, usercpu_time_millis_testing: 1.501, usercpu_time_millis_training: 747.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.894, f_measure: 0.8203, kappa: 0.6408, kb_relative_information_score: 833.754, mean_absolute_error: 0.3632, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8213, predictive_accuracy: 0.8204, prior_entropy: 1, recall: 0.8204, relative_absolute_error: 0.7263, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3926, root_relative_squared_error: 0.7853, scimark_benchmark: 1726.7615, usercpu_time_millis: 644.881, usercpu_time_millis_testing: 3.051, usercpu_time_millis_training: 641.83,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8673, f_measure: 0.7903, kappa: 0.5815, kb_relative_information_score: 738.4428, mean_absolute_error: 0.3791, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7933, predictive_accuracy: 0.7908, prior_entropy: 1, recall: 0.7908, relative_absolute_error: 0.7581, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4083, root_relative_squared_error: 0.8165, scimark_benchmark: 1722.1998, usercpu_time_millis: 616.767, usercpu_time_millis_testing: 1.781, usercpu_time_millis_training: 614.986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.8442, kappa: 0.6885, kb_relative_information_score: 1337.0451, mean_absolute_error: 0.2624, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8444, predictive_accuracy: 0.8442, prior_entropy: 1, recall: 0.8442, relative_absolute_error: 0.5248, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3415, root_relative_squared_error: 0.683, scimark_benchmark: 1728.4686, usercpu_time_millis: 1723.708, usercpu_time_millis_testing: 1.74, usercpu_time_millis_training: 1721.968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9116, f_measure: 0.8442, kappa: 0.6885, kb_relative_information_score: 1032.8061, mean_absolute_error: 0.326, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8444, predictive_accuracy: 0.8442, prior_entropy: 1, recall: 0.8442, relative_absolute_error: 0.652, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3672, root_relative_squared_error: 0.7344, scimark_benchmark: 1736.0337, usercpu_time_millis: 534.307, usercpu_time_millis_testing: 1.54, usercpu_time_millis_training: 532.767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8173, f_measure: 0.726, kappa: 0.4531, kb_relative_information_score: 647.517, mean_absolute_error: 0.3917, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7285, predictive_accuracy: 0.7265, prior_entropy: 1, recall: 0.7265, relative_absolute_error: 0.7834, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4263, root_relative_squared_error: 0.8527, scimark_benchmark: 1732.4995, usercpu_time_millis: 416.173, usercpu_time_millis_testing: 1.297, usercpu_time_millis_training: 414.876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8996, f_measure: 0.8261, kappa: 0.6523, kb_relative_information_score: 851.0696, mean_absolute_error: 0.3604, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8269, predictive_accuracy: 0.8262, prior_entropy: 1, recall: 0.8262, relative_absolute_error: 0.7208, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3895, root_relative_squared_error: 0.7789, scimark_benchmark: 1716.8756, usercpu_time_millis: 960.465, usercpu_time_millis_testing: 3.293, usercpu_time_millis_training: 957.172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7382, f_measure: 0.6639, kappa: 0.3315, kb_relative_information_score: 480.3816, mean_absolute_error: 0.4186, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6696, predictive_accuracy: 0.6658, prior_entropy: 1, recall: 0.6658, relative_absolute_error: 0.8373, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4542, root_relative_squared_error: 0.9084, scimark_benchmark: 1724.4096, usercpu_time_millis: 275.903, usercpu_time_millis_testing: 0.98, usercpu_time_millis_training: 274.923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8458, f_measure: 0.7515, kappa: 0.5054, kb_relative_information_score: 479.5918, mean_absolute_error: 0.4257, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7578, predictive_accuracy: 0.7527, prior_entropy: 1, recall: 0.7527, relative_absolute_error: 0.8515, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4379, root_relative_squared_error: 0.8758, scimark_benchmark: 1729.8503, usercpu_time_millis: 246.983, usercpu_time_millis_testing: 3.377, usercpu_time_millis_training: 243.606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8199, f_measure: 0.7415, kappa: 0.4862, kb_relative_information_score: 586.9208, mean_absolute_error: 0.4046, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7493, predictive_accuracy: 0.7431, prior_entropy: 1, recall: 0.7431, relative_absolute_error: 0.8093, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4303, root_relative_squared_error: 0.8605, scimark_benchmark: 1733.3606, usercpu_time_millis: 246.717, usercpu_time_millis_testing: 1.28, usercpu_time_millis_training: 245.437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7568, f_measure: 0.6862, kappa: 0.3769, kb_relative_information_score: 368.8437, mean_absolute_error: 0.4426, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6941, predictive_accuracy: 0.6885, prior_entropy: 1, recall: 0.6885, relative_absolute_error: 0.8851, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.457, root_relative_squared_error: 0.914, scimark_benchmark: 1730.2409, usercpu_time_millis: 153.357, usercpu_time_millis_testing: 0.834, usercpu_time_millis_training: 152.523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7512, f_measure: 0.671, kappa: 0.3492, kb_relative_information_score: 454.175, mean_absolute_error: 0.4259, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6827, predictive_accuracy: 0.6746, prior_entropy: 1, recall: 0.6746, relative_absolute_error: 0.8519, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4528, root_relative_squared_error: 0.9056, scimark_benchmark: 1730.1903, usercpu_time_millis: 132.796, usercpu_time_millis_testing: 0.955, usercpu_time_millis_training: 131.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.928, f_measure: 0.86, kappa: 0.72, kb_relative_information_score: 1365.2834, mean_absolute_error: 0.2582, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.86, predictive_accuracy: 0.86, prior_entropy: 1, recall: 0.86, relative_absolute_error: 0.5163, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.331, root_relative_squared_error: 0.6621, scimark_benchmark: 1721.7423, usercpu_time_millis: 133.412, usercpu_time_millis_testing: 0.421, usercpu_time_millis_training: 132.991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8048, f_measure: 0.7268, kappa: 0.4569, kb_relative_information_score: 506.7115, mean_absolute_error: 0.4189, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.734, predictive_accuracy: 0.7285, prior_entropy: 1, recall: 0.7285, relative_absolute_error: 0.8378, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4391, root_relative_squared_error: 0.8782, scimark_benchmark: 1717.0653, usercpu_time_millis: 124.721, usercpu_time_millis_testing: 0.981, usercpu_time_millis_training: 123.74,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7614, f_measure: 0.7041, kappa: 0.4115, kb_relative_information_score: 422.281, mean_absolute_error: 0.4329, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7106, predictive_accuracy: 0.7058, prior_entropy: 1, recall: 0.7058, relative_absolute_error: 0.8658, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4519, root_relative_squared_error: 0.9038, scimark_benchmark: 1840.8272, usercpu_time_millis: 83.866, usercpu_time_millis_testing: 0.822, usercpu_time_millis_training: 83.044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8556, f_measure: 0.7708, kappa: 0.5431, kb_relative_information_score: 649.8172, mean_absolute_error: 0.395, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7752, predictive_accuracy: 0.7715, prior_entropy: 1, recall: 0.7715, relative_absolute_error: 0.7899, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4188, root_relative_squared_error: 0.8376, scimark_benchmark: 1715.7009, usercpu_time_millis: 70.386, usercpu_time_millis_testing: 0.579, usercpu_time_millis_training: 69.807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8463, f_measure: 0.7679, kappa: 0.5369, kb_relative_information_score: 706.8466, mean_absolute_error: 0.3832, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7709, predictive_accuracy: 0.7685, prior_entropy: 1, recall: 0.7685, relative_absolute_error: 0.7664, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4153, root_relative_squared_error: 0.8307, scimark_benchmark: 1730.6397, usercpu_time_millis: 65.107, usercpu_time_millis_testing: 0.382, usercpu_time_millis_training: 64.725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6712, f_measure: 0.616, kappa: 0.2323, kb_relative_information_score: 195.8743, mean_absolute_error: 0.4706, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6164, predictive_accuracy: 0.6162, prior_entropy: 1, recall: 0.6162, relative_absolute_error: 0.9412, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4821, root_relative_squared_error: 0.9642, scimark_benchmark: 1713.0795, usercpu_time_millis: 42.815, usercpu_time_millis_testing: 0.756, usercpu_time_millis_training: 42.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6745, f_measure: 0.6195, kappa: 0.2392, kb_relative_information_score: 68.4804, mean_absolute_error: 0.4905, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6197, predictive_accuracy: 0.6196, prior_entropy: 1, recall: 0.6196, relative_absolute_error: 0.9809, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4913, root_relative_squared_error: 0.9826, scimark_benchmark: 1720.0398, usercpu_time_millis: 40.246, usercpu_time_millis_testing: 3.011, usercpu_time_millis_training: 37.235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4949, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1728.8453, usercpu_time_millis: 5.356, usercpu_time_millis_testing: 0.925, usercpu_time_millis_training: 4.431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6694, f_measure: 0.6163, kappa: 0.2331, kb_relative_information_score: 184.1747, mean_absolute_error: 0.4725, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6168, predictive_accuracy: 0.6165, prior_entropy: 1, recall: 0.6165, relative_absolute_error: 0.945, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4827, root_relative_squared_error: 0.9654, scimark_benchmark: 1729.728, usercpu_time_millis: 37.005, usercpu_time_millis_testing: 0.753, usercpu_time_millis_training: 36.252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7479, f_measure: 0.6727, kappa: 0.3485, kb_relative_information_score: 269.0203, mean_absolute_error: 0.4595, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6775, predictive_accuracy: 0.6742, prior_entropy: 1, recall: 0.6742, relative_absolute_error: 0.9191, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4668, root_relative_squared_error: 0.9335, scimark_benchmark: 1719.1409, usercpu_time_millis: 22.949, usercpu_time_millis_testing: 0.677, usercpu_time_millis_training: 22.272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4949, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1740.0828, usercpu_time_millis: 3.597, usercpu_time_millis_testing: 0.544, usercpu_time_millis_training: 3.053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4949, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1726.7601, usercpu_time_millis: 4.366, usercpu_time_millis_testing: 0.88, usercpu_time_millis_training: 3.486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1730.7017, usercpu_time_millis: 1.96, usercpu_time_millis_testing: 0.307, usercpu_time_millis_training: 1.653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5371, f_measure: 0.5307, kappa: 0.0615, kb_relative_information_score: 63.1022, mean_absolute_error: 0.4898, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5308, predictive_accuracy: 0.5308, prior_entropy: 1, recall: 0.5308, relative_absolute_error: 0.9797, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5139, root_relative_squared_error: 1.0277, scimark_benchmark: 1724.7601, usercpu_time_millis: 1.671, usercpu_time_millis_testing: 0.254, usercpu_time_millis_training: 1.417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8546, f_measure: 0.7667, kappa: 0.5354, kb_relative_information_score: 719.2228, mean_absolute_error: 0.3815, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7722, predictive_accuracy: 0.7677, prior_entropy: 1, recall: 0.7677, relative_absolute_error: 0.7631, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4128, root_relative_squared_error: 0.8257, scimark_benchmark: 1728.0111, usercpu_time_millis: 402.129, usercpu_time_millis_testing: 0.924, usercpu_time_millis_training: 401.205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.867, f_measure: 0.7943, kappa: 0.5892, kb_relative_information_score: 803.9957, mean_absolute_error: 0.3663, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7962, predictive_accuracy: 0.7946, prior_entropy: 1, recall: 0.7946, relative_absolute_error: 0.7326, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4026, root_relative_squared_error: 0.8052, scimark_benchmark: 1727.1069, usercpu_time_millis: 391.026, usercpu_time_millis_testing: 0.969, usercpu_time_millis_training: 390.057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9102, f_measure: 0.84, kappa: 0.68, kb_relative_information_score: 1147.2754, mean_absolute_error: 0.3025, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8403, predictive_accuracy: 0.84, prior_entropy: 1, recall: 0.84, relative_absolute_error: 0.6051, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3571, root_relative_squared_error: 0.7142, scimark_benchmark: 1723.9607, usercpu_time_millis: 972.816, usercpu_time_millis_testing: 1.318, usercpu_time_millis_training: 971.498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8629, f_measure: 0.7738, kappa: 0.5492, kb_relative_information_score: 659.0999, mean_absolute_error: 0.3937, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7788, predictive_accuracy: 0.7746, prior_entropy: 1, recall: 0.7746, relative_absolute_error: 0.7875, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4169, root_relative_squared_error: 0.8337, scimark_benchmark: 1731.1814, usercpu_time_millis: 340.689, usercpu_time_millis_testing: 1.673, usercpu_time_millis_training: 339.016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.805, f_measure: 0.7333, kappa: 0.47, kb_relative_information_score: 511.6943, mean_absolute_error: 0.4181, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7412, predictive_accuracy: 0.735, prior_entropy: 1, recall: 0.735, relative_absolute_error: 0.8361, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4385, root_relative_squared_error: 0.8771, scimark_benchmark: 1704.2859, usercpu_time_millis: 245.673, usercpu_time_millis_testing: 1.486, usercpu_time_millis_training: 244.187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9065, f_measure: 0.8396, kappa: 0.6792, kb_relative_information_score: 960.3961, mean_absolute_error: 0.3398, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.84, predictive_accuracy: 0.8396, prior_entropy: 1, recall: 0.8396, relative_absolute_error: 0.6796, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3762, root_relative_squared_error: 0.7525, scimark_benchmark: 2150.3797, usercpu_time_millis: 249.191, usercpu_time_millis_testing: 0.9, usercpu_time_millis_training: 248.291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9139, f_measure: 0.8457, kappa: 0.6915, kb_relative_information_score: 1190.348, mean_absolute_error: 0.294, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.846, predictive_accuracy: 0.8458, prior_entropy: 1, recall: 0.8458, relative_absolute_error: 0.588, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3517, root_relative_squared_error: 0.7033, scimark_benchmark: 1735.1328, usercpu_time_millis: 827.852, usercpu_time_millis_testing: 1.342, usercpu_time_millis_training: 826.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8283, f_measure: 0.7448, kappa: 0.4923, kb_relative_information_score: 566.9342, mean_absolute_error: 0.4088, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7515, predictive_accuracy: 0.7462, prior_entropy: 1, recall: 0.7462, relative_absolute_error: 0.8177, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4305, root_relative_squared_error: 0.8611, scimark_benchmark: 1723.1624, usercpu_time_millis: 187.55, usercpu_time_millis_testing: 1.453, usercpu_time_millis_training: 186.097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8939, f_measure: 0.8238, kappa: 0.6477, kb_relative_information_score: 994.4809, mean_absolute_error: 0.3315, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8242, predictive_accuracy: 0.8238, prior_entropy: 1, recall: 0.8238, relative_absolute_error: 0.6631, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3772, root_relative_squared_error: 0.7543, scimark_benchmark: 1727.7393, usercpu_time_millis: 81.558, usercpu_time_millis_testing: 0.492, usercpu_time_millis_training: 81.066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8395, f_measure: 0.757, kappa: 0.5162, kb_relative_information_score: 563.1623, mean_absolute_error: 0.4103, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.763, predictive_accuracy: 0.7581, prior_entropy: 1, recall: 0.7581, relative_absolute_error: 0.8206, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4295, root_relative_squared_error: 0.859, scimark_benchmark: 1733.299, usercpu_time_millis: 75.524, usercpu_time_millis_testing: 0.914, usercpu_time_millis_training: 74.61,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4949, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1728.0111, usercpu_time_millis: 4.52, usercpu_time_millis_testing: 0.729, usercpu_time_millis_training: 3.791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7021, f_measure: 0.6461, kappa: 0.2923, kb_relative_information_score: 308.0414, mean_absolute_error: 0.4513, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6462, predictive_accuracy: 0.6462, prior_entropy: 1, recall: 0.6462, relative_absolute_error: 0.9026, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4693, root_relative_squared_error: 0.9386, scimark_benchmark: 1736.621, usercpu_time_millis: 4.339, usercpu_time_millis_testing: 0.251, usercpu_time_millis_training: 4.088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8537, f_measure: 0.7666, kappa: 0.5354, kb_relative_information_score: 643.0179, mean_absolute_error: 0.3961, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7729, predictive_accuracy: 0.7677, prior_entropy: 1, recall: 0.7677, relative_absolute_error: 0.7922, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4199, root_relative_squared_error: 0.8398, scimark_benchmark: 1718.2275, usercpu_time_millis: 435.837, usercpu_time_millis_testing: 1.994, usercpu_time_millis_training: 433.843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9143, f_measure: 0.8419, kappa: 0.6838, kb_relative_information_score: 1162.6146, mean_absolute_error: 0.2997, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8421, predictive_accuracy: 0.8419, prior_entropy: 1, recall: 0.8419, relative_absolute_error: 0.5994, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.354, root_relative_squared_error: 0.708, scimark_benchmark: 1730.5327, usercpu_time_millis: 236.465, usercpu_time_millis_testing: 0.606, usercpu_time_millis_training: 235.859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7347, f_measure: 0.6572, kappa: 0.3154, kb_relative_information_score: 168.6566, mean_absolute_error: 0.4756, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6586, predictive_accuracy: 0.6577, prior_entropy: 1, recall: 0.6577, relative_absolute_error: 0.9512, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4785, root_relative_squared_error: 0.957, scimark_benchmark: 1755.0477, usercpu_time_millis: 68.414, usercpu_time_millis_testing: 2.569, usercpu_time_millis_training: 65.845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8833, f_measure: 0.8107, kappa: 0.6215, kb_relative_information_score: 862.5776, mean_absolute_error: 0.3564, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8115, predictive_accuracy: 0.8108, prior_entropy: 1, recall: 0.8108, relative_absolute_error: 0.7129, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3924, root_relative_squared_error: 0.7848, scimark_benchmark: 1751.0143, usercpu_time_millis: 66.604, usercpu_time_millis_testing: 0.357, usercpu_time_millis_training: 66.247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6513, f_measure: 0.6156, kappa: 0.2315, kb_relative_information_score: 184.8622, mean_absolute_error: 0.4724, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.616, predictive_accuracy: 0.6158, prior_entropy: 1, recall: 0.6158, relative_absolute_error: 0.9448, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4837, root_relative_squared_error: 0.9674, scimark_benchmark: 1728.8162, usercpu_time_millis: 36.514, usercpu_time_millis_testing: 0.795, usercpu_time_millis_training: 35.719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8467, f_measure: 0.7665, kappa: 0.5338, kb_relative_information_score: 707.5964, mean_absolute_error: 0.3833, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.769, predictive_accuracy: 0.7669, prior_entropy: 1, recall: 0.7669, relative_absolute_error: 0.7667, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4151, root_relative_squared_error: 0.8302, scimark_benchmark: 1749.6744, usercpu_time_millis: 43.083, usercpu_time_millis_testing: 0.35, usercpu_time_millis_training: 42.733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7525, f_measure: 0.697, kappa: 0.3969, kb_relative_information_score: 415.0317, mean_absolute_error: 0.434, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7024, predictive_accuracy: 0.6985, prior_entropy: 1, recall: 0.6985, relative_absolute_error: 0.868, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4544, root_relative_squared_error: 0.9088, scimark_benchmark: 1732.4995, usercpu_time_millis: 17.04, usercpu_time_millis_testing: 0.448, usercpu_time_millis_training: 16.592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1729.6688, usercpu_time_millis: 5.585, usercpu_time_millis_testing: 0.957, usercpu_time_millis_training: 4.628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1737.1059, usercpu_time_millis: 2.714, usercpu_time_millis_testing: 0.459, usercpu_time_millis_training: 2.255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.888, f_measure: 0.8211, kappa: 0.6423, kb_relative_information_score: 918.9623, mean_absolute_error: 0.3462, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8217, predictive_accuracy: 0.8212, prior_entropy: 1, recall: 0.8212, relative_absolute_error: 0.6923, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.386, root_relative_squared_error: 0.772, scimark_benchmark: 1728.4118, usercpu_time_millis: 1764.991, usercpu_time_millis_testing: 1.844, usercpu_time_millis_training: 1763.147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9109, f_measure: 0.8396, kappa: 0.6792, kb_relative_information_score: 1072.1326, mean_absolute_error: 0.3181, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.84, predictive_accuracy: 0.8396, prior_entropy: 1, recall: 0.8396, relative_absolute_error: 0.6363, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3635, root_relative_squared_error: 0.7271, scimark_benchmark: 1722.1998, usercpu_time_millis: 1513.172, usercpu_time_millis_testing: 2.522, usercpu_time_millis_training: 1510.65,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8793, f_measure: 0.8111, kappa: 0.6223, kb_relative_information_score: 864.0058, mean_absolute_error: 0.3557, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8118, predictive_accuracy: 0.8112, prior_entropy: 1, recall: 0.8112, relative_absolute_error: 0.7114, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3937, root_relative_squared_error: 0.7873, scimark_benchmark: 1720.3085, usercpu_time_millis: 1064.044, usercpu_time_millis_testing: 1.606, usercpu_time_millis_training: 1062.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8964, f_measure: 0.8299, kappa: 0.66, kb_relative_information_score: 888.3649, mean_absolute_error: 0.353, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8305, predictive_accuracy: 0.83, prior_entropy: 1, recall: 0.83, relative_absolute_error: 0.706, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3864, root_relative_squared_error: 0.7728, scimark_benchmark: 1734.2699, usercpu_time_millis: 486.925, usercpu_time_millis_testing: 1.452, usercpu_time_millis_training: 485.473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8627, f_measure: 0.7788, kappa: 0.5592, kb_relative_information_score: 676.7339, mean_absolute_error: 0.3903, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7836, predictive_accuracy: 0.7796, prior_entropy: 1, recall: 0.7796, relative_absolute_error: 0.7807, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4151, root_relative_squared_error: 0.8302, scimark_benchmark: 1730.2773, usercpu_time_millis: 426.683, usercpu_time_millis_testing: 2.428, usercpu_time_millis_training: 424.255,

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

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From your own software

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

OpenML APIs