Task
Supervised Classification on Bioresponse

Supervised Classification on Bioresponse

Task 145677 Supervised Classification Bioresponse 9368 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7517, f_measure: 0.5724, kappa: 0.2057, kb_relative_information_score: 168.6255, mean_absolute_error: 0.4799, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6842, predictive_accuracy: 0.6265, prior_entropy: 0.9948, recall: 0.6265, relative_absolute_error: 0.9668, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4829, root_relative_squared_error: 0.9692, scimark_benchmark: 1846.8309, usercpu_time_millis: 9.748, usercpu_time_millis_testing: 1.284, usercpu_time_millis_training: 8.464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8349, f_measure: 0.7622, kappa: 0.5202, kb_relative_information_score: 1112.7481, mean_absolute_error: 0.3682, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7632, predictive_accuracy: 0.7633, prior_entropy: 0.9948, recall: 0.7633, relative_absolute_error: 0.7417, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4112, root_relative_squared_error: 0.8253, scimark_benchmark: 1836.0529, usercpu_time_millis: 26.953, usercpu_time_millis_testing: 0.714, usercpu_time_millis_training: 26.239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8257, f_measure: 0.7562, kappa: 0.5084, kb_relative_information_score: 886.7673, mean_absolute_error: 0.3973, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7562, predictive_accuracy: 0.7566, prior_entropy: 0.9948, recall: 0.7566, relative_absolute_error: 0.8004, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4252, root_relative_squared_error: 0.8534, scimark_benchmark: 1836.1876, usercpu_time_millis: 44.708, usercpu_time_millis_testing: 1.202, usercpu_time_millis_training: 43.506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7932, f_measure: 0.7246, kappa: 0.4443, kb_relative_information_score: 453.0084, mean_absolute_error: 0.4495, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7264, predictive_accuracy: 0.7265, prior_entropy: 0.9948, recall: 0.7265, relative_absolute_error: 0.9055, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4589, root_relative_squared_error: 0.9211, scimark_benchmark: 1783.8383, usercpu_time_millis: 22.628, usercpu_time_millis_testing: 0.864, usercpu_time_millis_training: 21.764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8494, f_measure: 0.7729, kappa: 0.5419, kb_relative_information_score: 1048.3712, mean_absolute_error: 0.3769, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7731, predictive_accuracy: 0.7734, prior_entropy: 0.9948, recall: 0.7734, relative_absolute_error: 0.7593, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.411, root_relative_squared_error: 0.825, scimark_benchmark: 1716.9407, usercpu_time_millis: 40.398, usercpu_time_millis_testing: 2.538, usercpu_time_millis_training: 37.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8245, f_measure: 0.755, kappa: 0.5056, kb_relative_information_score: 963.5215, mean_absolute_error: 0.3881, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7564, predictive_accuracy: 0.7563, prior_entropy: 0.9948, recall: 0.7563, relative_absolute_error: 0.7818, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4209, root_relative_squared_error: 0.8449, scimark_benchmark: 1847.3406, usercpu_time_millis: 63.204, usercpu_time_millis_testing: 0.89, usercpu_time_millis_training: 62.314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7947, f_measure: 0.7346, kappa: 0.4658, kb_relative_information_score: 600.3758, mean_absolute_error: 0.4329, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7349, predictive_accuracy: 0.7345, prior_entropy: 0.9948, recall: 0.7345, relative_absolute_error: 0.872, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4488, root_relative_squared_error: 0.9009, scimark_benchmark: 1845.3975, usercpu_time_millis: 135.287, usercpu_time_millis_testing: 1.524, usercpu_time_millis_training: 133.763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8341, f_measure: 0.7648, kappa: 0.5254, kb_relative_information_score: 1095.9973, mean_absolute_error: 0.3707, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.766, predictive_accuracy: 0.7659, prior_entropy: 0.9948, recall: 0.7659, relative_absolute_error: 0.7467, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.412, root_relative_squared_error: 0.827, scimark_benchmark: 1853.5148, usercpu_time_millis: 140.585, usercpu_time_millis_testing: 1.191, usercpu_time_millis_training: 139.394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8039, f_measure: 0.7327, kappa: 0.4607, kb_relative_information_score: 705.9795, mean_absolute_error: 0.4201, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7332, predictive_accuracy: 0.7337, prior_entropy: 0.9948, recall: 0.7337, relative_absolute_error: 0.8462, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4395, root_relative_squared_error: 0.8822, scimark_benchmark: 1859.1356, usercpu_time_millis: 112.914, usercpu_time_millis_testing: 1.992, usercpu_time_millis_training: 110.922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8308, f_measure: 0.7639, kappa: 0.5236, kb_relative_information_score: 1133.4477, mean_absolute_error: 0.3656, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7653, predictive_accuracy: 0.7651, prior_entropy: 0.9948, recall: 0.7651, relative_absolute_error: 0.7364, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4115, root_relative_squared_error: 0.8259, scimark_benchmark: 1840.2451, usercpu_time_millis: 118.189, usercpu_time_millis_testing: 1.155, usercpu_time_millis_training: 117.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7996, f_measure: 0.7371, kappa: 0.4712, kb_relative_information_score: 823.756, mean_absolute_error: 0.4063, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7377, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.8185, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4346, root_relative_squared_error: 0.8723, scimark_benchmark: 1849.3093, usercpu_time_millis: 156.621, usercpu_time_millis_testing: 1.304, usercpu_time_millis_training: 155.317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7931, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 874.2047, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.8058, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4371, root_relative_squared_error: 0.8774, scimark_benchmark: 1859.1356, usercpu_time_millis: 154.648, usercpu_time_millis_testing: 1.681, usercpu_time_millis_training: 152.967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8511, f_measure: 0.7847, kappa: 0.5655, kb_relative_information_score: 1377.105, mean_absolute_error: 0.3317, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7853, predictive_accuracy: 0.7854, prior_entropy: 0.9948, recall: 0.7854, relative_absolute_error: 0.6682, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.396, root_relative_squared_error: 0.7948, scimark_benchmark: 1845.3975, usercpu_time_millis: 182.888, usercpu_time_millis_testing: 0.98, usercpu_time_millis_training: 181.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8158, f_measure: 0.7437, kappa: 0.4829, kb_relative_information_score: 826.2202, mean_absolute_error: 0.4052, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7446, predictive_accuracy: 0.7449, prior_entropy: 0.9948, recall: 0.7449, relative_absolute_error: 0.8163, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4303, root_relative_squared_error: 0.8637, scimark_benchmark: 1783.4962, usercpu_time_millis: 110.18, usercpu_time_millis_testing: 2.457, usercpu_time_millis_training: 107.723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8405, f_measure: 0.769, kappa: 0.534, kb_relative_information_score: 1369.8315, mean_absolute_error: 0.3311, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7698, predictive_accuracy: 0.7699, prior_entropy: 0.9948, recall: 0.7699, relative_absolute_error: 0.667, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.402, root_relative_squared_error: 0.807, scimark_benchmark: 1842.1882, usercpu_time_millis: 118.019, usercpu_time_millis_testing: 0.78, usercpu_time_millis_training: 117.239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8532, f_measure: 0.783, kappa: 0.5621, kb_relative_information_score: 1366.437, mean_absolute_error: 0.3335, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7838, predictive_accuracy: 0.7838, prior_entropy: 0.9948, recall: 0.7838, relative_absolute_error: 0.6719, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3953, root_relative_squared_error: 0.7934, scimark_benchmark: 1799.2518, usercpu_time_millis: 155.597, usercpu_time_millis_testing: 1.036, usercpu_time_millis_training: 154.561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8189, f_measure: 0.7516, kappa: 0.4987, kb_relative_information_score: 917.0971, mean_absolute_error: 0.3942, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7534, predictive_accuracy: 0.7531, prior_entropy: 0.9948, recall: 0.7531, relative_absolute_error: 0.7941, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4246, root_relative_squared_error: 0.8522, scimark_benchmark: 1849.0221, usercpu_time_millis: 137.246, usercpu_time_millis_testing: 1.798, usercpu_time_millis_training: 135.448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8231, f_measure: 0.7554, kappa: 0.5067, kb_relative_information_score: 1204.8744, mean_absolute_error: 0.3554, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7599, predictive_accuracy: 0.7579, prior_entropy: 0.9948, recall: 0.7579, relative_absolute_error: 0.716, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4129, root_relative_squared_error: 0.8287, scimark_benchmark: 1844.7474, usercpu_time_millis: 175.029, usercpu_time_millis_testing: 0.857, usercpu_time_millis_training: 174.172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8117, f_measure: 0.7381, kappa: 0.474, kb_relative_information_score: 1128.2284, mean_absolute_error: 0.3659, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7396, predictive_accuracy: 0.7377, prior_entropy: 0.9948, recall: 0.7377, relative_absolute_error: 0.7371, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4221, root_relative_squared_error: 0.8472, scimark_benchmark: 1800.7114, usercpu_time_millis: 163.236, usercpu_time_millis_testing: 0.993, usercpu_time_millis_training: 162.243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8269, f_measure: 0.7569, kappa: 0.5095, kb_relative_information_score: 959.1105, mean_absolute_error: 0.3885, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7577, predictive_accuracy: 0.7579, prior_entropy: 0.9948, recall: 0.7579, relative_absolute_error: 0.7825, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4207, root_relative_squared_error: 0.8444, scimark_benchmark: 1806.246, usercpu_time_millis: 169.431, usercpu_time_millis_testing: 2.582, usercpu_time_millis_training: 166.849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7821, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 967.0445, mean_absolute_error: 0.3878, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.7812, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4379, root_relative_squared_error: 0.879, scimark_benchmark: 1812.706, usercpu_time_millis: 165.541, usercpu_time_millis_testing: 1.038, usercpu_time_millis_training: 164.503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8353, f_measure: 0.7645, kappa: 0.5248, kb_relative_information_score: 1110.0651, mean_absolute_error: 0.3685, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7652, predictive_accuracy: 0.7654, prior_entropy: 0.9948, recall: 0.7654, relative_absolute_error: 0.7423, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4111, root_relative_squared_error: 0.8252, scimark_benchmark: 1848.2615, usercpu_time_millis: 162.66, usercpu_time_millis_testing: 1.417, usercpu_time_millis_training: 161.243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8131, f_measure: 0.7544, kappa: 0.5044, kb_relative_information_score: 898.7728, mean_absolute_error: 0.3969, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7566, predictive_accuracy: 0.7561, prior_entropy: 0.9948, recall: 0.7561, relative_absolute_error: 0.7995, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4267, root_relative_squared_error: 0.8564, scimark_benchmark: 1769.7371, usercpu_time_millis: 242.546, usercpu_time_millis_testing: 1.817, usercpu_time_millis_training: 240.729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8247, f_measure: 0.7574, kappa: 0.5106, kb_relative_information_score: 1158.3048, mean_absolute_error: 0.3622, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7609, predictive_accuracy: 0.7595, prior_entropy: 0.9948, recall: 0.7595, relative_absolute_error: 0.7295, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4133, root_relative_squared_error: 0.8295, scimark_benchmark: 1758.6167, usercpu_time_millis: 188.295, usercpu_time_millis_testing: 0.946, usercpu_time_millis_training: 187.349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7735, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 974.7974, mean_absolute_error: 0.3868, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.7791, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4386, root_relative_squared_error: 0.8803, scimark_benchmark: 789.5687, usercpu_time_millis: 237.641, usercpu_time_millis_testing: 2.237, usercpu_time_millis_training: 235.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8286, f_measure: 0.7618, kappa: 0.5193, kb_relative_information_score: 1273.1895, mean_absolute_error: 0.3455, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7644, predictive_accuracy: 0.7635, prior_entropy: 0.9948, recall: 0.7635, relative_absolute_error: 0.696, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4086, root_relative_squared_error: 0.8202, scimark_benchmark: 1818.7841, usercpu_time_millis: 194.618, usercpu_time_millis_testing: 0.855, usercpu_time_millis_training: 193.763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8104, f_measure: 0.7388, kappa: 0.474, kb_relative_information_score: 959.397, mean_absolute_error: 0.3891, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7389, predictive_accuracy: 0.7387, prior_entropy: 0.9948, recall: 0.7387, relative_absolute_error: 0.7838, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4254, root_relative_squared_error: 0.8539, scimark_benchmark: 1835.2001, usercpu_time_millis: 266.169, usercpu_time_millis_testing: 1.724, usercpu_time_millis_training: 264.445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8357, f_measure: 0.7596, kappa: 0.515, kb_relative_information_score: 1356.7467, mean_absolute_error: 0.3328, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.763, predictive_accuracy: 0.7617, prior_entropy: 0.9948, recall: 0.7617, relative_absolute_error: 0.6703, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.405, root_relative_squared_error: 0.813, scimark_benchmark: 1840.2451, usercpu_time_millis: 277.175, usercpu_time_millis_testing: 0.778, usercpu_time_millis_training: 276.397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.7557, kappa: 0.5071, kb_relative_information_score: 947.4246, mean_absolute_error: 0.3905, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7587, predictive_accuracy: 0.7577, prior_entropy: 0.9948, recall: 0.7577, relative_absolute_error: 0.7866, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.423, root_relative_squared_error: 0.8491, scimark_benchmark: 1855.0232, usercpu_time_millis: 297.553, usercpu_time_millis_testing: 2.068, usercpu_time_millis_training: 295.485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8102, f_measure: 0.7528, kappa: 0.5012, kb_relative_information_score: 1120.723, mean_absolute_error: 0.3675, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7549, predictive_accuracy: 0.7545, prior_entropy: 0.9948, recall: 0.7545, relative_absolute_error: 0.7403, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4192, root_relative_squared_error: 0.8413, scimark_benchmark: 1808.9842, usercpu_time_millis: 278.225, usercpu_time_millis_testing: 1.049, usercpu_time_millis_training: 277.176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8176, f_measure: 0.7466, kappa: 0.4893, kb_relative_information_score: 1195.5896, mean_absolute_error: 0.3566, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7531, predictive_accuracy: 0.7499, prior_entropy: 0.9948, recall: 0.7499, relative_absolute_error: 0.7183, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4156, root_relative_squared_error: 0.8342, scimark_benchmark: 1853.454, usercpu_time_millis: 319.182, usercpu_time_millis_testing: 0.884, usercpu_time_millis_training: 318.298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, f_measure: 0.3813, kb_relative_information_score: -0.3209, mean_absolute_error: 0.4965, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1809.8548, usercpu_time_millis: 5.117, usercpu_time_millis_testing: 0.786, usercpu_time_millis_training: 4.331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: -0.0626, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1833.9619, usercpu_time_millis: 8.568, usercpu_time_millis_testing: 1.185, usercpu_time_millis_training: 7.383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7734, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 852.8133, mean_absolute_error: 0.4027, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.8111, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4384, root_relative_squared_error: 0.88, scimark_benchmark: 1832.1397, usercpu_time_millis: 64.596, usercpu_time_millis_testing: 0.831, usercpu_time_millis_training: 63.765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, f_measure: 0.3813, kb_relative_information_score: 0.0038, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1847.8629, usercpu_time_millis: 7.079, usercpu_time_millis_testing: 1.094, usercpu_time_millis_training: 5.985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8251, f_measure: 0.7526, kappa: 0.5012, kb_relative_information_score: 874.6314, mean_absolute_error: 0.3986, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7525, predictive_accuracy: 0.7529, prior_entropy: 0.9948, recall: 0.7529, relative_absolute_error: 0.803, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.426, root_relative_squared_error: 0.855, scimark_benchmark: 1849.8294, usercpu_time_millis: 52.968, usercpu_time_millis_testing: 1.781, usercpu_time_millis_training: 51.187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7937, f_measure: 0.7198, kappa: 0.4346, kb_relative_information_score: 585.0094, mean_absolute_error: 0.4343, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.72, predictive_accuracy: 0.7206, prior_entropy: 0.9948, recall: 0.7206, relative_absolute_error: 0.8749, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4486, root_relative_squared_error: 0.9005, scimark_benchmark: 1833.431, usercpu_time_millis: 71.713, usercpu_time_millis_testing: 2.143, usercpu_time_millis_training: 69.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8026, f_measure: 0.7296, kappa: 0.4545, kb_relative_information_score: 684.8132, mean_absolute_error: 0.4226, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7299, predictive_accuracy: 0.7305, prior_entropy: 0.9948, recall: 0.7305, relative_absolute_error: 0.8512, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4411, root_relative_squared_error: 0.8853, scimark_benchmark: 1744.7906, usercpu_time_millis: 73.648, usercpu_time_millis_testing: 2.244, usercpu_time_millis_training: 71.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: -0.1515, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1857.7641, usercpu_time_millis: 8.166, usercpu_time_millis_testing: 1.264, usercpu_time_millis_training: 6.902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.795, f_measure: 0.7391, kappa: 0.4741, kb_relative_information_score: 405.4893, mean_absolute_error: 0.4549, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7443, predictive_accuracy: 0.7422, prior_entropy: 0.9948, recall: 0.7422, relative_absolute_error: 0.9163, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4626, root_relative_squared_error: 0.9286, scimark_benchmark: 1821.0183, usercpu_time_millis: 54.571, usercpu_time_millis_testing: 1.563, usercpu_time_millis_training: 53.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8228, f_measure: 0.7568, kappa: 0.5094, kb_relative_information_score: 1216.9097, mean_absolute_error: 0.3536, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7573, predictive_accuracy: 0.7577, prior_entropy: 0.9948, recall: 0.7577, relative_absolute_error: 0.7123, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4139, root_relative_squared_error: 0.8308, scimark_benchmark: 1852.5406, usercpu_time_millis: 109.636, usercpu_time_millis_testing: 0.823, usercpu_time_millis_training: 108.813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3813, kb_relative_information_score: -0.1577, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1849.7595, usercpu_time_millis: 9.277, usercpu_time_millis_testing: 1.489, usercpu_time_millis_training: 7.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8536, f_measure: 0.7857, kappa: 0.5677, kb_relative_information_score: 1292.5982, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7859, predictive_accuracy: 0.7862, prior_entropy: 0.9948, recall: 0.7862, relative_absolute_error: 0.6929, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.7985, scimark_benchmark: 789.6492, usercpu_time_millis: 117.528, usercpu_time_millis_testing: 2.056, usercpu_time_millis_training: 115.472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: -0.021, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1855.4813, usercpu_time_millis: 8.56, usercpu_time_millis_testing: 1.418, usercpu_time_millis_training: 7.142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7936, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 777.5968, mean_absolute_error: 0.4122, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.8303, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4388, root_relative_squared_error: 0.8808, scimark_benchmark: 1817.0822, usercpu_time_millis: 35.963, usercpu_time_millis_testing: 0.849, usercpu_time_millis_training: 35.114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7648, f_measure: 0.6752, kappa: 0.3464, kb_relative_information_score: 358.2493, mean_absolute_error: 0.4598, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6819, predictive_accuracy: 0.6806, prior_entropy: 0.9948, recall: 0.6806, relative_absolute_error: 0.9262, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4669, root_relative_squared_error: 0.9372, scimark_benchmark: 1848.2615, usercpu_time_millis: 6.307, usercpu_time_millis_testing: 0.724, usercpu_time_millis_training: 5.583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8123, f_measure: 0.7544, kappa: 0.5043, kb_relative_information_score: 854.4304, mean_absolute_error: 0.4023, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7566, predictive_accuracy: 0.7561, prior_entropy: 0.9948, recall: 0.7561, relative_absolute_error: 0.8105, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4293, root_relative_squared_error: 0.8617, scimark_benchmark: 1854.568, usercpu_time_millis: 89.248, usercpu_time_millis_testing: 1.409, usercpu_time_millis_training: 87.839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8186, f_measure: 0.7517, kappa: 0.499, kb_relative_information_score: 903.1786, mean_absolute_error: 0.396, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7539, predictive_accuracy: 0.7534, prior_entropy: 0.9948, recall: 0.7534, relative_absolute_error: 0.7976, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4253, root_relative_squared_error: 0.8536, scimark_benchmark: 1845.9141, usercpu_time_millis: 86.459, usercpu_time_millis_testing: 1.334, usercpu_time_millis_training: 85.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: -0.106, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 788.818, usercpu_time_millis: 16.309, usercpu_time_millis_testing: 1.978, usercpu_time_millis_training: 14.331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8282, f_measure: 0.7584, kappa: 0.5127, kb_relative_information_score: 969.4818, mean_absolute_error: 0.3869, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7586, predictive_accuracy: 0.759, prior_entropy: 0.9948, recall: 0.759, relative_absolute_error: 0.7793, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4199, root_relative_squared_error: 0.8429, scimark_benchmark: 787.8104, usercpu_time_millis: 25.034, usercpu_time_millis_testing: 1.446, usercpu_time_millis_training: 23.588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8607, f_measure: 0.7953, kappa: 0.5872, kb_relative_information_score: 1484.0322, mean_absolute_error: 0.3175, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7956, predictive_accuracy: 0.7958, prior_entropy: 0.9948, recall: 0.7958, relative_absolute_error: 0.6396, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3887, root_relative_squared_error: 0.7802, scimark_benchmark: 789.421, usercpu_time_millis: 94.302, usercpu_time_millis_testing: 1.493, usercpu_time_millis_training: 92.809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.814, f_measure: 0.7475, kappa: 0.4905, kb_relative_information_score: 826.0179, mean_absolute_error: 0.4056, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7494, predictive_accuracy: 0.7491, prior_entropy: 0.9948, recall: 0.7491, relative_absolute_error: 0.8169, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4306, root_relative_squared_error: 0.8643, scimark_benchmark: 1837.1204, usercpu_time_millis: 127.146, usercpu_time_millis_testing: 1.891, usercpu_time_millis_training: 125.255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8203, f_measure: 0.7539, kappa: 0.5034, kb_relative_information_score: 1054.6009, mean_absolute_error: 0.3766, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.756, predictive_accuracy: 0.7555, prior_entropy: 0.9948, recall: 0.7555, relative_absolute_error: 0.7586, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4182, root_relative_squared_error: 0.8394, scimark_benchmark: 1852.9988, usercpu_time_millis: 262.111, usercpu_time_millis_testing: 1.443, usercpu_time_millis_training: 260.668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8344, f_measure: 0.7638, kappa: 0.5237, kb_relative_information_score: 964.9172, mean_absolute_error: 0.3873, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7637, predictive_accuracy: 0.7641, prior_entropy: 0.9948, recall: 0.7641, relative_absolute_error: 0.7801, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4191, root_relative_squared_error: 0.8411, scimark_benchmark: 1851.8567, usercpu_time_millis: 151.335, usercpu_time_millis_testing: 2.358, usercpu_time_millis_training: 148.977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8464, f_measure: 0.7781, kappa: 0.5526, kb_relative_information_score: 1071.717, mean_absolute_error: 0.3737, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7781, predictive_accuracy: 0.7785, prior_entropy: 0.9948, recall: 0.7785, relative_absolute_error: 0.7528, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4105, root_relative_squared_error: 0.824, scimark_benchmark: 1837.4118, usercpu_time_millis: 114.335, usercpu_time_millis_testing: 1.947, usercpu_time_millis_training: 112.388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.3813, kb_relative_information_score: -0.1865, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1845.9141, usercpu_time_millis: 4.426, usercpu_time_millis_testing: 0.692, usercpu_time_millis_training: 3.734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3813, kb_relative_information_score: -0.1665, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1845.2509, usercpu_time_millis: 4.502, usercpu_time_millis_testing: 0.714, usercpu_time_millis_training: 3.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: -0.0028, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1854.4641, usercpu_time_millis: 5.392, usercpu_time_millis_testing: 0.761, usercpu_time_millis_training: 4.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.3813, kb_relative_information_score: -0.1451, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 788.6416, usercpu_time_millis: 17.577, usercpu_time_millis_testing: 2.409, usercpu_time_millis_training: 15.168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8075, f_measure: 0.7374, kappa: 0.47, kb_relative_information_score: 736.8358, mean_absolute_error: 0.4163, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7381, predictive_accuracy: 0.7385, prior_entropy: 0.9948, recall: 0.7385, relative_absolute_error: 0.8385, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4371, root_relative_squared_error: 0.8773, scimark_benchmark: 1848.2024, usercpu_time_millis: 40.082, usercpu_time_millis_testing: 1.018, usercpu_time_millis_training: 39.064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7952, f_measure: 0.7345, kappa: 0.4653, kb_relative_information_score: 549.5381, mean_absolute_error: 0.4386, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7345, predictive_accuracy: 0.7345, prior_entropy: 0.9948, recall: 0.7345, relative_absolute_error: 0.8836, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4522, root_relative_squared_error: 0.9076, scimark_benchmark: 1850.2875, usercpu_time_millis: 41.507, usercpu_time_millis_testing: 0.822, usercpu_time_millis_training: 40.685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8359, f_measure: 0.7696, kappa: 0.5352, kb_relative_information_score: 1070.4719, mean_absolute_error: 0.3734, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7699, predictive_accuracy: 0.7702, prior_entropy: 0.9948, recall: 0.7702, relative_absolute_error: 0.7521, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4131, root_relative_squared_error: 0.8291, scimark_benchmark: 1841.2265, usercpu_time_millis: 81.869, usercpu_time_millis_testing: 1.391, usercpu_time_millis_training: 80.478,
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: 0.8486, f_measure: 0.7791, kappa: 0.5544, kb_relative_information_score: 1420.6334, mean_absolute_error: 0.3247, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7792, predictive_accuracy: 0.7795, prior_entropy: 0.9948, recall: 0.7795, relative_absolute_error: 0.654, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3966, root_relative_squared_error: 0.7961, scimark_benchmark: 1837.1204, usercpu_time_millis: 68.564, usercpu_time_millis_testing: 0.767, usercpu_time_millis_training: 67.797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7856, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 781.0776, mean_absolute_error: 0.4116, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.8291, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4398, root_relative_squared_error: 0.8827, scimark_benchmark: 789.5549, usercpu_time_millis: 395.531, usercpu_time_millis_testing: 2.619, usercpu_time_millis_training: 392.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8115, f_measure: 0.7521, kappa: 0.4997, kb_relative_information_score: 1025.49, mean_absolute_error: 0.3807, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7525, predictive_accuracy: 0.7529, prior_entropy: 0.9948, recall: 0.7529, relative_absolute_error: 0.7668, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4219, root_relative_squared_error: 0.8468, scimark_benchmark: 788.9778, usercpu_time_millis: 267.308, usercpu_time_millis_testing: 1.74, usercpu_time_millis_training: 265.568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: 0.0643, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1848.388, usercpu_time_millis: 6.036, usercpu_time_millis_testing: 0.965, usercpu_time_millis_training: 5.071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8232, f_measure: 0.7573, kappa: 0.5104, kb_relative_information_score: 1144.0388, mean_absolute_error: 0.3642, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7596, predictive_accuracy: 0.759, prior_entropy: 0.9948, recall: 0.759, relative_absolute_error: 0.7336, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4147, root_relative_squared_error: 0.8325, scimark_benchmark: 771.547, usercpu_time_millis: 25.325, usercpu_time_millis_testing: 1.324, usercpu_time_millis_training: 24.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5006, f_measure: 0.3813, kb_relative_information_score: -1.05, mean_absolute_error: 0.4965, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1829.5667, usercpu_time_millis: 4.164, usercpu_time_millis_testing: 0.66, usercpu_time_millis_training: 3.504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8634, f_measure: 0.7975, kappa: 0.5916, kb_relative_information_score: 1412.1672, mean_absolute_error: 0.3275, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7977, predictive_accuracy: 0.7979, prior_entropy: 0.9948, recall: 0.7979, relative_absolute_error: 0.6596, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3898, root_relative_squared_error: 0.7823, scimark_benchmark: 1799.7134, usercpu_time_millis: 23.655, usercpu_time_millis_testing: 0.82, usercpu_time_millis_training: 22.835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: -0.1449, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1776.8912, usercpu_time_millis: 8.527, usercpu_time_millis_testing: 1.369, usercpu_time_millis_training: 7.158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3813, kb_relative_information_score: -0.5844, mean_absolute_error: 0.4965, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1751.5018, usercpu_time_millis: 4.98, usercpu_time_millis_testing: 0.782, usercpu_time_millis_training: 4.198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8487, f_measure: 0.7806, kappa: 0.5576, kb_relative_information_score: 1247.1961, mean_absolute_error: 0.3502, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7808, predictive_accuracy: 0.7811, prior_entropy: 0.9948, recall: 0.7811, relative_absolute_error: 0.7054, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4012, root_relative_squared_error: 0.8053, scimark_benchmark: 1762.6567, usercpu_time_millis: 65.26, usercpu_time_millis_testing: 1.203, usercpu_time_millis_training: 64.057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8221, f_measure: 0.7432, kappa: 0.4819, kb_relative_information_score: 771.4188, mean_absolute_error: 0.4118, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7433, predictive_accuracy: 0.7438, prior_entropy: 0.9948, recall: 0.7438, relative_absolute_error: 0.8294, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4326, root_relative_squared_error: 0.8684, scimark_benchmark: 1819.2626, usercpu_time_millis: 78.359, usercpu_time_millis_testing: 3.823, usercpu_time_millis_training: 74.536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7943, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 897.9073, mean_absolute_error: 0.3969, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.7996, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4343, root_relative_squared_error: 0.8718, scimark_benchmark: 1820.581, usercpu_time_millis: 127.572, usercpu_time_millis_testing: 1.013, usercpu_time_millis_training: 126.559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7998, f_measure: 0.7373, kappa: 0.4714, kb_relative_information_score: 903.5565, mean_absolute_error: 0.3963, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7377, predictive_accuracy: 0.7371, prior_entropy: 0.9948, recall: 0.7371, relative_absolute_error: 0.7982, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4306, root_relative_squared_error: 0.8644, scimark_benchmark: 1782.529, usercpu_time_millis: 11.923, usercpu_time_millis_testing: 0.702, usercpu_time_millis_training: 11.221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7786, f_measure: 0.7052, kappa: 0.4051, kb_relative_information_score: 411.8072, mean_absolute_error: 0.454, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7065, predictive_accuracy: 0.707, prior_entropy: 0.9948, recall: 0.707, relative_absolute_error: 0.9145, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4624, root_relative_squared_error: 0.9281, scimark_benchmark: 1787.1431, usercpu_time_millis: 35.232, usercpu_time_millis_testing: 1.435, usercpu_time_millis_training: 33.797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8556, f_measure: 0.7913, kappa: 0.5789, kb_relative_information_score: 1224.9588, mean_absolute_error: 0.3535, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7916, predictive_accuracy: 0.7918, prior_entropy: 0.9948, recall: 0.7918, relative_absolute_error: 0.7121, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4002, root_relative_squared_error: 0.8032, scimark_benchmark: 1783.1242, usercpu_time_millis: 100.502, usercpu_time_millis_testing: 1.608, usercpu_time_millis_training: 98.894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3813, kb_relative_information_score: 0.0045, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1792.2093, usercpu_time_millis: 7.562, usercpu_time_millis_testing: 1.12, usercpu_time_millis_training: 6.442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: 0.0854, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1821.3727, usercpu_time_millis: 5.638, usercpu_time_millis_testing: 0.895, usercpu_time_millis_training: 4.743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3813, kb_relative_information_score: -0.1848, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 765.1605, usercpu_time_millis: 17.822, usercpu_time_millis_testing: 2.407, usercpu_time_millis_training: 15.415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7965, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 918.0504, mean_absolute_error: 0.3943, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.7944, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4349, root_relative_squared_error: 0.8728, scimark_benchmark: 1723.0479, usercpu_time_millis: 57.601, usercpu_time_millis_testing: 0.923, usercpu_time_millis_training: 56.678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8042, f_measure: 0.7489, kappa: 0.4934, kb_relative_information_score: 723.4705, mean_absolute_error: 0.4184, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7496, predictive_accuracy: 0.7499, prior_entropy: 0.9948, recall: 0.7499, relative_absolute_error: 0.8428, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4387, root_relative_squared_error: 0.8806, scimark_benchmark: 1810.7265, usercpu_time_millis: 72.631, usercpu_time_millis_testing: 1.329, usercpu_time_millis_training: 71.302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7793, f_measure: 0.701, kappa: 0.3991, kb_relative_information_score: 329.0327, mean_absolute_error: 0.4631, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7113, predictive_accuracy: 0.707, prior_entropy: 0.9948, recall: 0.707, relative_absolute_error: 0.9328, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.469, root_relative_squared_error: 0.9414, scimark_benchmark: 1786.1495, usercpu_time_millis: 13.121, usercpu_time_millis_testing: 0.842, usercpu_time_millis_training: 12.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.763, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 967.8708, mean_absolute_error: 0.3877, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.781, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4388, root_relative_squared_error: 0.8807, scimark_benchmark: 767.7487, usercpu_time_millis: 128.869, usercpu_time_millis_testing: 2.022, usercpu_time_millis_training: 126.847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3813, kb_relative_information_score: -0.2505, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1815.5483, usercpu_time_millis: 5.187, usercpu_time_millis_testing: 0.76, usercpu_time_millis_training: 4.427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: 0.1365, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1830.7352, usercpu_time_millis: 5.613, usercpu_time_millis_testing: 0.887, usercpu_time_millis_training: 4.726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3813, kb_relative_information_score: 0.1291, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1844.4297, usercpu_time_millis: 9.247, usercpu_time_millis_testing: 1.396, usercpu_time_millis_training: 7.851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, f_measure: 0.3813, kb_relative_information_score: 0.0293, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1815.5992, usercpu_time_millis: 5.253, usercpu_time_millis_testing: 0.884, usercpu_time_millis_training: 4.369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: -0.049, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1853.9121, usercpu_time_millis: 5.307, usercpu_time_millis_testing: 0.835, usercpu_time_millis_training: 4.472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3813, kb_relative_information_score: 0.0879, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 789.2446, usercpu_time_millis: 18.114, usercpu_time_millis_testing: 2.354, usercpu_time_millis_training: 15.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8705, f_measure: 0.7969, kappa: 0.5906, kb_relative_information_score: 1315.4168, mean_absolute_error: 0.342, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7969, predictive_accuracy: 0.7971, prior_entropy: 0.9948, recall: 0.7971, relative_absolute_error: 0.6888, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3909, root_relative_squared_error: 0.7846, scimark_benchmark: 788.5077, usercpu_time_millis: 28.47, usercpu_time_millis_testing: 1.945, usercpu_time_millis_training: 26.525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7877, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 937.8334, mean_absolute_error: 0.3917, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.7891, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4363, root_relative_squared_error: 0.8757, scimark_benchmark: 1855.4813, usercpu_time_millis: 25.515, usercpu_time_millis_testing: 0.709, usercpu_time_millis_training: 24.806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8493, f_measure: 0.7802, kappa: 0.5567, kb_relative_information_score: 1255.0904, mean_absolute_error: 0.3491, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7803, predictive_accuracy: 0.7806, prior_entropy: 0.9948, recall: 0.7806, relative_absolute_error: 0.7033, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4007, root_relative_squared_error: 0.8043, scimark_benchmark: 1817.5475, usercpu_time_millis: 45.16, usercpu_time_millis_testing: 1.075, usercpu_time_millis_training: 44.085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.846, f_measure: 0.7782, kappa: 0.5528, kb_relative_information_score: 1415.0689, mean_absolute_error: 0.3248, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7782, predictive_accuracy: 0.7785, prior_entropy: 0.9948, recall: 0.7785, relative_absolute_error: 0.6542, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3986, root_relative_squared_error: 0.8001, scimark_benchmark: 1855.0232, usercpu_time_millis: 58.732, usercpu_time_millis_testing: 0.789, usercpu_time_millis_training: 57.943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8246, f_measure: 0.7586, kappa: 0.5132, kb_relative_information_score: 1200.1239, mean_absolute_error: 0.3559, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7586, predictive_accuracy: 0.759, prior_entropy: 0.9948, recall: 0.759, relative_absolute_error: 0.7169, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4124, root_relative_squared_error: 0.8278, scimark_benchmark: 1850.2875, usercpu_time_millis: 87.243, usercpu_time_millis_testing: 0.883, usercpu_time_millis_training: 86.36,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: -0.1703, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1846.3046, usercpu_time_millis: 6.458, usercpu_time_millis_testing: 0.913, usercpu_time_millis_training: 5.545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7741, f_measure: 0.6828, kappa: 0.3617, kb_relative_information_score: 402.2407, mean_absolute_error: 0.455, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6897, predictive_accuracy: 0.6881, prior_entropy: 0.9948, recall: 0.6881, relative_absolute_error: 0.9165, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4631, root_relative_squared_error: 0.9295, scimark_benchmark: 1850.2875, usercpu_time_millis: 7.315, usercpu_time_millis_testing: 0.807, usercpu_time_millis_training: 6.508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8165, f_measure: 0.744, kappa: 0.4837, kb_relative_information_score: 812.0937, mean_absolute_error: 0.4066, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7441, predictive_accuracy: 0.7446, prior_entropy: 0.9948, recall: 0.7446, relative_absolute_error: 0.8191, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.431, root_relative_squared_error: 0.8651, scimark_benchmark: 1799.5884, usercpu_time_millis: 41.693, usercpu_time_millis_testing: 1.483, usercpu_time_millis_training: 40.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8121, f_measure: 0.7515, kappa: 0.4985, kb_relative_information_score: 853.3321, mean_absolute_error: 0.4025, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7535, predictive_accuracy: 0.7531, prior_entropy: 0.9948, recall: 0.7531, relative_absolute_error: 0.8108, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4293, root_relative_squared_error: 0.8618, scimark_benchmark: 1796.438, usercpu_time_millis: 122.331, usercpu_time_millis_testing: 1.654, usercpu_time_millis_training: 120.677,

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