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Thomas Tiel Groenestege
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Thomas's runs

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7163, average_cost: 15.0651, f_measure: 0.7886, kappa: 0.1415, kb_relative_information_score: 1251.0568, mean_absolute_error: 0.2459, mean_prior_absolute_error: 0.2795, number_of_instances: 399482, precision: 0.8045, predictive_accuracy: 0.8382, prior_entropy: 0.653, recall: 0.8382, relative_absolute_error: 0.8799, root_mean_prior_squared_error: 0.3738, root_mean_squared_error: 0.3544, root_relative_squared_error: 0.948, scimark_benchmark: 1277.3694, total_cost: 6018230, usercpu_time_millis_testing: 9699, usercpu_time_millis_training: 2718896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6997, average_cost: 15.3461, f_measure: 0.7834, kappa: 0.1188, kb_relative_information_score: 1055.7885, mean_absolute_error: 0.2539, mean_prior_absolute_error: 0.2795, number_of_instances: 399482, precision: 0.7979, predictive_accuracy: 0.836, prior_entropy: 0.653, recall: 0.836, relative_absolute_error: 0.9086, root_mean_prior_squared_error: 0.3738, root_mean_squared_error: 0.3574, root_relative_squared_error: 0.9562, scimark_benchmark: 1240.2804, total_cost: 6130510, usercpu_time_millis_testing: 476, usercpu_time_millis_training: 114486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5398, average_cost: 15.3326, f_measure: 0.7834, kappa: 0.1193, kb_relative_information_score: 114103.8007, mean_absolute_error: 0.1643, mean_prior_absolute_error: 0.2795, number_of_instances: 399482, precision: 0.7968, predictive_accuracy: 0.8357, prior_entropy: 0.653, recall: 0.8357, relative_absolute_error: 0.5879, root_mean_prior_squared_error: 0.3738, root_mean_squared_error: 0.4053, root_relative_squared_error: 1.0843, scimark_benchmark: 1240.2804, total_cost: 6125080, usercpu_time_millis_testing: 471, usercpu_time_millis_training: 104371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.647, average_cost: 15.6663, f_measure: 0.7792, kappa: 0.0986, kb_relative_information_score: -18498.8547, mean_absolute_error: 0.261, mean_prior_absolute_error: 0.2795, number_of_instances: 399482, precision: 0.8111, predictive_accuracy: 0.8379, prior_entropy: 0.653, recall: 0.8379, relative_absolute_error: 0.934, root_mean_prior_squared_error: 0.3738, root_mean_squared_error: 0.3608, root_relative_squared_error: 0.9653, scimark_benchmark: 1240.2804, total_cost: 6258390, usercpu_time_millis_testing: 380, usercpu_time_millis_training: 1162120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7078, average_cost: 15.0031, f_measure: 0.7882, kappa: 0.1417, kb_relative_information_score: -159.8113, mean_absolute_error: 0.2462, mean_prior_absolute_error: 0.2795, number_of_instances: 399482, precision: 0.7968, predictive_accuracy: 0.8357, prior_entropy: 0.653, recall: 0.8357, relative_absolute_error: 0.881, root_mean_prior_squared_error: 0.3738, root_mean_squared_error: 0.3571, root_relative_squared_error: 0.9552, scimark_benchmark: 1240.2804, total_cost: 5993450, usercpu_time_millis_testing: 5640, usercpu_time_millis_training: 3157230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7041, average_cost: 14.8854, f_measure: 0.7901, kappa: 0.1504, kb_relative_information_score: -5593.3688, mean_absolute_error: 0.2456, mean_prior_absolute_error: 0.2795, number_of_instances: 399482, precision: 0.7985, predictive_accuracy: 0.8363, prior_entropy: 0.653, recall: 0.8363, relative_absolute_error: 0.8789, root_mean_prior_squared_error: 0.3738, root_mean_squared_error: 0.3576, root_relative_squared_error: 0.9567, scimark_benchmark: 1240.2804, total_cost: 5946430, usercpu_time_millis_testing: 3320, usercpu_time_millis_training: 208376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5698, average_cost: 13.1677, f_measure: 0.7569, kappa: 0.1373, kb_relative_information_score: -26149.1774, mean_absolute_error: 0.245, mean_prior_absolute_error: 0.2795, number_of_instances: 399482, precision: 0.7589, predictive_accuracy: 0.755, prior_entropy: 0.653, recall: 0.755, relative_absolute_error: 0.8768, root_mean_prior_squared_error: 0.3738, root_mean_squared_error: 0.495, root_relative_squared_error: 1.3242, scimark_benchmark: 1236.431, total_cost: 5260270, usercpu_time_millis_testing: 538, usercpu_time_millis_training: 14675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5698, average_cost: 13.1677, f_measure: 0.7569, kappa: 0.1373, kb_relative_information_score: -26149.1774, mean_absolute_error: 0.245, mean_prior_absolute_error: 0.2795, number_of_instances: 399482, precision: 0.7589, predictive_accuracy: 0.755, prior_entropy: 0.653, recall: 0.755, relative_absolute_error: 0.8768, root_mean_prior_squared_error: 0.3738, root_mean_squared_error: 0.495, root_relative_squared_error: 1.3242, scimark_benchmark: 1236.431, total_cost: 5260270, usercpu_time_millis_testing: 707, usercpu_time_millis_training: 14363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.691, average_cost: 15.1717, f_measure: 0.7845, kappa: 0.1266, kb_relative_information_score: -4324.0995, mean_absolute_error: 0.2503, mean_prior_absolute_error: 0.2795, number_of_instances: 399482, precision: 0.7896, predictive_accuracy: 0.8332, prior_entropy: 0.653, recall: 0.8332, relative_absolute_error: 0.8955, root_mean_prior_squared_error: 0.3738, root_mean_squared_error: 0.3632, root_relative_squared_error: 0.9716, scimark_benchmark: 1236.431, total_cost: 6060830, usercpu_time_millis_testing: 278, usercpu_time_millis_training: 28580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6207, average_cost: 16.125, f_measure: 0.7642, kappa: 0.0415, kb_relative_information_score: 67875.194, mean_absolute_error: 0.1987, mean_prior_absolute_error: 0.2795, number_of_instances: 399482, precision: 0.7466, predictive_accuracy: 0.8208, prior_entropy: 0.653, recall: 0.8208, relative_absolute_error: 0.7111, root_mean_prior_squared_error: 0.3738, root_mean_squared_error: 0.4055, root_relative_squared_error: 1.0848, scimark_benchmark: 1236.431, total_cost: 6441630, usercpu_time_millis_testing: 2693, usercpu_time_millis_training: 1203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6285, average_cost: 15.7301, build_cpu_time: 148.5269, build_memory: 1157441903.3333, f_measure: 0.7775, kappa: 0.092, kb_relative_information_score: -5295.5637, mean_absolute_error: 0.2643, mean_prior_absolute_error: 0.2795, number_of_instances: 399482, precision: 0.8042, predictive_accuracy: 0.8366, prior_entropy: 0.653, recall: 0.8366, relative_absolute_error: 0.9456, root_mean_prior_squared_error: 0.3738, root_mean_squared_error: 0.3637, root_relative_squared_error: 0.9729, scimark_benchmark: 1493.7959, total_cost: 6283890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6598, average_cost: 15.5035, build_cpu_time: 79.2097, build_memory: 1015883773.4999, f_measure: 0.7819, kappa: 0.1108, kb_relative_information_score: 91.372, mean_absolute_error: 0.2576, mean_prior_absolute_error: 0.2795, number_of_instances: 399482, precision: 0.8086, predictive_accuracy: 0.8381, prior_entropy: 0.653, recall: 0.8381, relative_absolute_error: 0.9217, root_mean_prior_squared_error: 0.3738, root_mean_squared_error: 0.3605, root_relative_squared_error: 0.9645, scimark_benchmark: 1493.7959, total_cost: 6193350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6207, average_cost: 16.125, build_cpu_time: 1.1786, build_memory: 954843227.7239, f_measure: 0.7642, kappa: 0.0415, kb_relative_information_score: 67875.194, mean_absolute_error: 0.1987, mean_prior_absolute_error: 0.2795, number_of_instances: 399482, precision: 0.7466, predictive_accuracy: 0.8208, prior_entropy: 0.653, recall: 0.8208, relative_absolute_error: 0.7111, root_mean_prior_squared_error: 0.3738, root_mean_squared_error: 0.4055, root_relative_squared_error: 1.0848, scimark_benchmark: 1493.7959, total_cost: 6441630,