OpenML
Supervised Classification on electricity

Supervised Classification on electricity

Task 146012 Supervised Classification electricity 25374 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9013, f_measure: 0.8204, kappa: 0.6309, kb_relative_information_score: 20841.157, mean_absolute_error: 0.2799, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8212, predictive_accuracy: 0.8215, prior_entropy: 0.9835, recall: 0.8215, relative_absolute_error: 0.5727, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3574, root_relative_squared_error: 0.7231, scimark_benchmark: 1829.178, usercpu_time_millis: 272.227, usercpu_time_millis_testing: 17.067, usercpu_time_millis_training: 255.16,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8634, f_measure: 0.7919, kappa: 0.5725, kb_relative_information_score: 18160.9394, mean_absolute_error: 0.3086, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7922, predictive_accuracy: 0.7931, prior_entropy: 0.9835, recall: 0.7931, relative_absolute_error: 0.6317, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3841, root_relative_squared_error: 0.7772, scimark_benchmark: 1844.8101, usercpu_time_millis: 250.28, usercpu_time_millis_testing: 15.486, usercpu_time_millis_training: 234.794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8961, f_measure: 0.8143, kappa: 0.6178, kb_relative_information_score: 17880.327, mean_absolute_error: 0.3159, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.818, predictive_accuracy: 0.8167, prior_entropy: 0.9835, recall: 0.8167, relative_absolute_error: 0.6466, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3701, root_relative_squared_error: 0.7488, scimark_benchmark: 1814.9009, usercpu_time_millis: 283.129, usercpu_time_millis_testing: 26.062, usercpu_time_millis_training: 257.067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9014, f_measure: 0.819, kappa: 0.6285, kb_relative_information_score: 21451.2927, mean_absolute_error: 0.2721, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8191, predictive_accuracy: 0.8197, prior_entropy: 0.9835, recall: 0.8197, relative_absolute_error: 0.5568, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.356, root_relative_squared_error: 0.7202, scimark_benchmark: 1839.7313, usercpu_time_millis: 305.812, usercpu_time_millis_testing: 16.973, usercpu_time_millis_training: 288.839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9177, f_measure: 0.8356, kappa: 0.663, kb_relative_information_score: 24157.5901, mean_absolute_error: 0.2402, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8355, predictive_accuracy: 0.8358, prior_entropy: 0.9835, recall: 0.8358, relative_absolute_error: 0.4915, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3391, root_relative_squared_error: 0.686, scimark_benchmark: 1838.1026, usercpu_time_millis: 584.771, usercpu_time_millis_testing: 20.44, usercpu_time_millis_training: 564.331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9156, f_measure: 0.8321, kappa: 0.6554, kb_relative_information_score: 23168.7679, mean_absolute_error: 0.2525, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8322, predictive_accuracy: 0.8327, prior_entropy: 0.9835, recall: 0.8327, relative_absolute_error: 0.5167, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3425, root_relative_squared_error: 0.6929, scimark_benchmark: 1838.1026, usercpu_time_millis: 629.927, usercpu_time_millis_testing: 27.121, usercpu_time_millis_training: 602.806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9075, f_measure: 0.824, kappa: 0.6386, kb_relative_information_score: 21791.5551, mean_absolute_error: 0.2688, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8243, predictive_accuracy: 0.8248, prior_entropy: 0.9835, recall: 0.8248, relative_absolute_error: 0.5501, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3512, root_relative_squared_error: 0.7105, scimark_benchmark: 1820.0566, usercpu_time_millis: 341.385, usercpu_time_millis_testing: 21.252, usercpu_time_millis_training: 320.133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9187, f_measure: 0.8363, kappa: 0.6646, kb_relative_information_score: 24137.4597, mean_absolute_error: 0.2406, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8362, predictive_accuracy: 0.8366, prior_entropy: 0.9835, recall: 0.8366, relative_absolute_error: 0.4924, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3383, root_relative_squared_error: 0.6844, scimark_benchmark: 1822.3184, usercpu_time_millis: 420.96, usercpu_time_millis_testing: 14.107, usercpu_time_millis_training: 406.853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8596, f_measure: 0.7655, kappa: 0.5182, kb_relative_information_score: 15382.6646, mean_absolute_error: 0.3411, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7808, predictive_accuracy: 0.773, prior_entropy: 0.9835, recall: 0.773, relative_absolute_error: 0.698, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3947, root_relative_squared_error: 0.7986, scimark_benchmark: 1825.7178, usercpu_time_millis: 2.181, usercpu_time_millis_testing: 0.18, usercpu_time_millis_training: 2.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8673, f_measure: 0.7768, kappa: 0.5408, kb_relative_information_score: 17370.3577, mean_absolute_error: 0.3179, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7865, predictive_accuracy: 0.7822, prior_entropy: 0.9835, recall: 0.7822, relative_absolute_error: 0.6506, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3854, root_relative_squared_error: 0.7798, scimark_benchmark: 1843.3238, usercpu_time_millis: 6.844, usercpu_time_millis_testing: 0.355, usercpu_time_millis_training: 6.489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8778, f_measure: 0.7998, kappa: 0.588, kb_relative_information_score: 18598.3703, mean_absolute_error: 0.3039, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8036, predictive_accuracy: 0.8025, prior_entropy: 0.9835, recall: 0.8025, relative_absolute_error: 0.6219, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3768, root_relative_squared_error: 0.7624, scimark_benchmark: 1817.0461, usercpu_time_millis: 18.304, usercpu_time_millis_testing: 0.895, usercpu_time_millis_training: 17.409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, f_measure: 0.7998, kappa: 0.5881, kb_relative_information_score: 18633.5892, mean_absolute_error: 0.3036, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8026, predictive_accuracy: 0.8022, prior_entropy: 0.9835, recall: 0.8022, relative_absolute_error: 0.6213, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3769, root_relative_squared_error: 0.7626, scimark_benchmark: 1809.8437, usercpu_time_millis: 6.366, usercpu_time_millis_testing: 0.291, usercpu_time_millis_training: 6.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8558, f_measure: 0.7878, kappa: 0.5637, kb_relative_information_score: 18012.6765, mean_absolute_error: 0.3098, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7893, predictive_accuracy: 0.7898, prior_entropy: 0.9835, recall: 0.7898, relative_absolute_error: 0.634, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3875, root_relative_squared_error: 0.7841, scimark_benchmark: 1846.89, usercpu_time_millis: 19.411, usercpu_time_millis_testing: 0.839, usercpu_time_millis_training: 18.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: 0.8461, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1850.2875, usercpu_time_millis: 11.417, usercpu_time_millis_testing: 1.446, usercpu_time_millis_training: 9.971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9451, f_measure: 0.8692, kappa: 0.7318, kb_relative_information_score: 26119.9477, mean_absolute_error: 0.2223, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8693, predictive_accuracy: 0.8695, prior_entropy: 0.9835, recall: 0.8695, relative_absolute_error: 0.4551, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3096, root_relative_squared_error: 0.6264, scimark_benchmark: 1779.5631, usercpu_time_millis: 13.816, usercpu_time_millis_testing: 0.696, usercpu_time_millis_training: 13.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: -0.3879, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1834.698, usercpu_time_millis: 22.69, usercpu_time_millis_testing: 1.421, usercpu_time_millis_training: 21.269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8257, f_measure: 0.7492, kappa: 0.4852, kb_relative_information_score: 13963.6143, mean_absolute_error: 0.3557, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7657, predictive_accuracy: 0.758, prior_entropy: 0.9835, recall: 0.758, relative_absolute_error: 0.728, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4138, root_relative_squared_error: 0.8373, scimark_benchmark: 1810.7217, usercpu_time_millis: 11.415, usercpu_time_millis_testing: 0.609, usercpu_time_millis_training: 10.806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8607, f_measure: 0.7912, kappa: 0.5709, kb_relative_information_score: 18082.0395, mean_absolute_error: 0.3092, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7917, predictive_accuracy: 0.7925, prior_entropy: 0.9835, recall: 0.7925, relative_absolute_error: 0.6328, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.386, root_relative_squared_error: 0.7809, scimark_benchmark: 1680.8434, usercpu_time_millis: 57.94, usercpu_time_millis_testing: 4.047, usercpu_time_millis_training: 53.893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.4204, kb_relative_information_score: -0.4508, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1853.9121, usercpu_time_millis: 33.241, usercpu_time_millis_testing: 5.522, usercpu_time_millis_training: 27.719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8249, f_measure: 0.7552, kappa: 0.4976, kb_relative_information_score: 11522.0065, mean_absolute_error: 0.3837, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7736, predictive_accuracy: 0.7641, prior_entropy: 0.9835, recall: 0.7641, relative_absolute_error: 0.7854, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4179, root_relative_squared_error: 0.8456, scimark_benchmark: 1902.8834, usercpu_time_millis: 33.841, usercpu_time_millis_testing: 4.052, usercpu_time_millis_training: 29.789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.809, f_measure: 0.7467, kappa: 0.4818, kb_relative_information_score: 7867.2687, mean_absolute_error: 0.421, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7725, predictive_accuracy: 0.7582, prior_entropy: 0.9835, recall: 0.7582, relative_absolute_error: 0.8617, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4385, root_relative_squared_error: 0.8871, scimark_benchmark: 1782.6631, usercpu_time_millis: 53.543, usercpu_time_millis_testing: 6.686, usercpu_time_millis_training: 46.857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.936, f_measure: 0.8556, kappa: 0.7039, kb_relative_information_score: 25665.0077, mean_absolute_error: 0.2253, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8556, predictive_accuracy: 0.8559, prior_entropy: 0.9835, recall: 0.8559, relative_absolute_error: 0.4611, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3196, root_relative_squared_error: 0.6467, scimark_benchmark: 1812.2788, usercpu_time_millis: 44.454, usercpu_time_millis_testing: 1.054, usercpu_time_millis_training: 43.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: -1.058, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1828.6161, usercpu_time_millis: 41.429, usercpu_time_millis_testing: 3.408, usercpu_time_millis_training: 38.021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9519, f_measure: 0.879, kappa: 0.752, kb_relative_information_score: 27310.129, mean_absolute_error: 0.2088, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8789, predictive_accuracy: 0.8791, prior_entropy: 0.9835, recall: 0.8791, relative_absolute_error: 0.4273, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2995, root_relative_squared_error: 0.6058, scimark_benchmark: 1829.1442, usercpu_time_millis: 45.92, usercpu_time_millis_testing: 1.875, usercpu_time_millis_training: 44.045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9371, f_measure: 0.8582, kappa: 0.7092, kb_relative_information_score: 25758.6013, mean_absolute_error: 0.2245, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8581, predictive_accuracy: 0.8584, prior_entropy: 0.9835, recall: 0.8584, relative_absolute_error: 0.4594, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3184, root_relative_squared_error: 0.6441, scimark_benchmark: 1821.0066, usercpu_time_millis: 19.888, usercpu_time_millis_testing: 0.529, usercpu_time_millis_training: 19.359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.898, f_measure: 0.816, kappa: 0.6215, kb_relative_information_score: 19878.1522, mean_absolute_error: 0.2914, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8179, predictive_accuracy: 0.8177, prior_entropy: 0.9835, recall: 0.8177, relative_absolute_error: 0.5964, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.7325, scimark_benchmark: 1726.9824, usercpu_time_millis: 21.847, usercpu_time_millis_testing: 0.959, usercpu_time_millis_training: 20.888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.9283, kappa: 0.8532, kb_relative_information_score: 34000.6964, mean_absolute_error: 0.1328, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9283, predictive_accuracy: 0.9282, prior_entropy: 0.9835, recall: 0.9282, relative_absolute_error: 0.2718, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2365, root_relative_squared_error: 0.4785, scimark_benchmark: 1829.1442, usercpu_time_millis: 58.602, usercpu_time_millis_testing: 1.664, usercpu_time_millis_training: 56.938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: 1.3562, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1736.9559, usercpu_time_millis: 30.4, usercpu_time_millis_testing: 5.276, usercpu_time_millis_training: 25.124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.4204, kb_relative_information_score: -0.2568, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1876.9392, usercpu_time_millis: 41.587, usercpu_time_millis_testing: 7.076, usercpu_time_millis_training: 34.511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: -0.3617, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1796.0572, usercpu_time_millis: 50.154, usercpu_time_millis_testing: 4.879, usercpu_time_millis_training: 45.275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.877, f_measure: 0.7985, kappa: 0.5853, kb_relative_information_score: 18532.4422, mean_absolute_error: 0.3046, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8027, predictive_accuracy: 0.8014, prior_entropy: 0.9835, recall: 0.8014, relative_absolute_error: 0.6235, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3774, root_relative_squared_error: 0.7636, scimark_benchmark: 1793.6079, usercpu_time_millis: 51.215, usercpu_time_millis_testing: 2.065, usercpu_time_millis_training: 49.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9559, f_measure: 0.8861, kappa: 0.7666, kb_relative_information_score: 28482.4671, mean_absolute_error: 0.195, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.886, predictive_accuracy: 0.8861, prior_entropy: 0.9835, recall: 0.8861, relative_absolute_error: 0.3991, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2912, root_relative_squared_error: 0.5892, scimark_benchmark: 1785.0609, usercpu_time_millis: 44.168, usercpu_time_millis_testing: 1.195, usercpu_time_millis_training: 42.973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.916, f_measure: 0.8317, kappa: 0.6545, kb_relative_information_score: 22878.8579, mean_absolute_error: 0.2564, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8318, predictive_accuracy: 0.8323, prior_entropy: 0.9835, recall: 0.8323, relative_absolute_error: 0.5248, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3427, root_relative_squared_error: 0.6934, scimark_benchmark: 1826.8288, usercpu_time_millis: 99.747, usercpu_time_millis_testing: 4.977, usercpu_time_millis_training: 94.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8598, f_measure: 0.7601, kappa: 0.5075, kb_relative_information_score: 15741.6934, mean_absolute_error: 0.3368, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7771, predictive_accuracy: 0.7684, prior_entropy: 0.9835, recall: 0.7684, relative_absolute_error: 0.6892, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3948, root_relative_squared_error: 0.7987, scimark_benchmark: 1780.9757, usercpu_time_millis: 50.941, usercpu_time_millis_testing: 5.995, usercpu_time_millis_training: 44.946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8358, f_measure: 0.7552, kappa: 0.4972, kb_relative_information_score: 13486.654, mean_absolute_error: 0.3619, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7702, predictive_accuracy: 0.7632, prior_entropy: 0.9835, recall: 0.7632, relative_absolute_error: 0.7407, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4097, root_relative_squared_error: 0.8288, scimark_benchmark: 1855.4813, usercpu_time_millis: 4.19, usercpu_time_millis_testing: 0.307, usercpu_time_millis_training: 3.883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8962, f_measure: 0.8162, kappa: 0.623, kb_relative_information_score: 21216.6359, mean_absolute_error: 0.2743, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8162, predictive_accuracy: 0.8168, prior_entropy: 0.9835, recall: 0.8168, relative_absolute_error: 0.5613, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3597, root_relative_squared_error: 0.7278, scimark_benchmark: 1853.3841, usercpu_time_millis: 17.665, usercpu_time_millis_testing: 0.966, usercpu_time_millis_training: 16.699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: 0.8069, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1838.6023, usercpu_time_millis: 24.413, usercpu_time_millis_testing: 4.13, usercpu_time_millis_training: 20.283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.931, f_measure: 0.853, kappa: 0.6986, kb_relative_information_score: 25362.7057, mean_absolute_error: 0.2284, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.853, predictive_accuracy: 0.8533, prior_entropy: 0.9835, recall: 0.8533, relative_absolute_error: 0.4675, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3244, root_relative_squared_error: 0.6562, scimark_benchmark: 1828.7618, usercpu_time_millis: 3.633, usercpu_time_millis_testing: 0.195, usercpu_time_millis_training: 3.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8729, f_measure: 0.7792, kappa: 0.5458, kb_relative_information_score: 17433.8822, mean_absolute_error: 0.3174, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7903, predictive_accuracy: 0.7849, prior_entropy: 0.9835, recall: 0.7849, relative_absolute_error: 0.6497, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3832, root_relative_squared_error: 0.7752, scimark_benchmark: 1850.2875, usercpu_time_millis: 48.219, usercpu_time_millis_testing: 5.763, usercpu_time_millis_training: 42.456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: -0.5745, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1830.9008, usercpu_time_millis: 36.927, usercpu_time_millis_testing: 6.047, usercpu_time_millis_training: 30.88,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8206, f_measure: 0.7486, kappa: 0.484, kb_relative_information_score: 14077.5307, mean_absolute_error: 0.3539, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7651, predictive_accuracy: 0.7574, prior_entropy: 0.9835, recall: 0.7574, relative_absolute_error: 0.7242, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4156, root_relative_squared_error: 0.8408, scimark_benchmark: 1836.8476, usercpu_time_millis: 36.934, usercpu_time_millis_testing: 2.765, usercpu_time_millis_training: 34.169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: 1.0459, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1820.3518, usercpu_time_millis: 34.746, usercpu_time_millis_testing: 6.049, usercpu_time_millis_training: 28.697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: -0.5648, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1854.1098, usercpu_time_millis: 27.906, usercpu_time_millis_testing: 3.079, usercpu_time_millis_training: 24.827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7963, f_measure: 0.7495, kappa: 0.4864, kb_relative_information_score: 9574.2248, mean_absolute_error: 0.4043, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7697, predictive_accuracy: 0.7593, prior_entropy: 0.9835, recall: 0.7593, relative_absolute_error: 0.8275, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4291, root_relative_squared_error: 0.8682, scimark_benchmark: 1793.4178, usercpu_time_millis: 7.702, usercpu_time_millis_testing: 0.724, usercpu_time_millis_training: 6.978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9046, f_measure: 0.8251, kappa: 0.6403, kb_relative_information_score: 19019.2869, mean_absolute_error: 0.3036, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8271, predictive_accuracy: 0.8267, prior_entropy: 0.9835, recall: 0.8267, relative_absolute_error: 0.6213, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.7315, scimark_benchmark: 1852.9988, usercpu_time_millis: 7.01, usercpu_time_millis_testing: 0.357, usercpu_time_millis_training: 6.653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8383, f_measure: 0.7552, kappa: 0.4974, kb_relative_information_score: 13458.9465, mean_absolute_error: 0.3622, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7714, predictive_accuracy: 0.7636, prior_entropy: 0.9835, recall: 0.7636, relative_absolute_error: 0.7414, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4093, root_relative_squared_error: 0.8282, scimark_benchmark: 1854.4951, usercpu_time_millis: 56.613, usercpu_time_millis_testing: 4.982, usercpu_time_millis_training: 51.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.829, f_measure: 0.7486, kappa: 0.484, kb_relative_information_score: 13926.3794, mean_absolute_error: 0.3561, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7651, predictive_accuracy: 0.7574, prior_entropy: 0.9835, recall: 0.7574, relative_absolute_error: 0.7288, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4141, root_relative_squared_error: 0.8378, scimark_benchmark: 1830.7134, usercpu_time_millis: 45.323, usercpu_time_millis_testing: 3.974, usercpu_time_millis_training: 41.349,
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: 0.5, f_measure: 0.4204, kb_relative_information_score: -0.3109, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1902.8834, usercpu_time_millis: 48.392, usercpu_time_millis_testing: 8.304, usercpu_time_millis_training: 40.088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9689, f_measure: 0.906, kappa: 0.8076, kb_relative_information_score: 30676.6576, mean_absolute_error: 0.1711, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.906, predictive_accuracy: 0.9061, prior_entropy: 0.9835, recall: 0.9061, relative_absolute_error: 0.3502, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2674, root_relative_squared_error: 0.541, scimark_benchmark: 1824.8044, usercpu_time_millis: 85.852, usercpu_time_millis_testing: 2.094, usercpu_time_millis_training: 83.758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8532, f_measure: 0.7572, kappa: 0.5017, kb_relative_information_score: 14142.8106, mean_absolute_error: 0.3553, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7751, predictive_accuracy: 0.7659, prior_entropy: 0.9835, recall: 0.7659, relative_absolute_error: 0.7272, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4023, root_relative_squared_error: 0.8139, scimark_benchmark: 1856.7258, usercpu_time_millis: 67.978, usercpu_time_millis_testing: 6.293, usercpu_time_millis_training: 61.685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: 0.3977, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1856.6531, usercpu_time_millis: 32.893, usercpu_time_millis_testing: 5.689, usercpu_time_millis_training: 27.204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.4204, kb_relative_information_score: -0.1656, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1813.6996, usercpu_time_millis: 40.88, usercpu_time_millis_testing: 6.767, usercpu_time_millis_training: 34.113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8749, f_measure: 0.7825, kappa: 0.5525, kb_relative_information_score: 17040.6936, mean_absolute_error: 0.3226, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.793, predictive_accuracy: 0.7878, prior_entropy: 0.9835, recall: 0.7878, relative_absolute_error: 0.6602, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3832, root_relative_squared_error: 0.7753, scimark_benchmark: 1849.3742, usercpu_time_millis: 88.427, usercpu_time_millis_testing: 11.593, usercpu_time_millis_training: 76.834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.788, f_measure: 0.7353, kappa: 0.4607, kb_relative_information_score: 4854.243, mean_absolute_error: 0.4486, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7701, predictive_accuracy: 0.7501, prior_entropy: 0.9835, recall: 0.7501, relative_absolute_error: 0.9182, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4587, root_relative_squared_error: 0.9281, scimark_benchmark: 1845.7061, usercpu_time_millis: 74.562, usercpu_time_millis_testing: 8.915, usercpu_time_millis_training: 65.647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8649, f_measure: 0.7729, kappa: 0.5328, kb_relative_information_score: 17105.5898, mean_absolute_error: 0.321, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7823, predictive_accuracy: 0.7784, prior_entropy: 0.9835, recall: 0.7784, relative_absolute_error: 0.6569, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3875, root_relative_squared_error: 0.784, scimark_benchmark: 1814.159, usercpu_time_millis: 74.716, usercpu_time_millis_testing: 4.198, usercpu_time_millis_training: 70.518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9235, f_measure: 0.8413, kappa: 0.6745, kb_relative_information_score: 23962.6905, mean_absolute_error: 0.2442, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8413, predictive_accuracy: 0.8417, prior_entropy: 0.9835, recall: 0.8417, relative_absolute_error: 0.4997, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3345, root_relative_squared_error: 0.6767, scimark_benchmark: 1840.1194, usercpu_time_millis: 61.701, usercpu_time_millis_testing: 2.856, usercpu_time_millis_training: 58.845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: -0.8326, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1817.3885, usercpu_time_millis: 49.145, usercpu_time_millis_testing: 3.421, usercpu_time_millis_training: 45.724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8496, f_measure: 0.7552, kappa: 0.4969, kb_relative_information_score: 15401.5651, mean_absolute_error: 0.3401, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7689, predictive_accuracy: 0.7628, prior_entropy: 0.9835, recall: 0.7628, relative_absolute_error: 0.6961, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4, root_relative_squared_error: 0.8092, scimark_benchmark: 1711.3286, usercpu_time_millis: 41.015, usercpu_time_millis_testing: 2.603, usercpu_time_millis_training: 38.412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8568, f_measure: 0.7578, kappa: 0.5029, kb_relative_information_score: 15327.0406, mean_absolute_error: 0.3415, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7755, predictive_accuracy: 0.7664, prior_entropy: 0.9835, recall: 0.7664, relative_absolute_error: 0.699, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3973, root_relative_squared_error: 0.8038, scimark_benchmark: 1849.7595, usercpu_time_millis: 52.602, usercpu_time_millis_testing: 4.523, usercpu_time_millis_training: 48.079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.4204, kb_relative_information_score: 2.1774, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1832.3122, usercpu_time_millis: 14.773, usercpu_time_millis_testing: 1.948, usercpu_time_millis_training: 12.825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8872, f_measure: 0.809, kappa: 0.6079, kb_relative_information_score: 20649.2231, mean_absolute_error: 0.2797, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8092, predictive_accuracy: 0.8099, prior_entropy: 0.9835, recall: 0.8099, relative_absolute_error: 0.5725, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3668, root_relative_squared_error: 0.7421, scimark_benchmark: 1780.4663, usercpu_time_millis: 1.37, usercpu_time_millis_testing: 0.103, usercpu_time_millis_training: 1.267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.864, f_measure: 0.792, kappa: 0.5729, kb_relative_information_score: 18338.8127, mean_absolute_error: 0.3063, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.792, predictive_accuracy: 0.7929, prior_entropy: 0.9835, recall: 0.7929, relative_absolute_error: 0.6268, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3837, root_relative_squared_error: 0.7764, scimark_benchmark: 1844.1673, usercpu_time_millis: 31.507, usercpu_time_millis_testing: 2.156, usercpu_time_millis_training: 29.351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: 0.8069, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1850.2875, usercpu_time_millis: 26.025, usercpu_time_millis_testing: 4.458, usercpu_time_millis_training: 21.567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: 0.2905, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1787.8411, usercpu_time_millis: 50.864, usercpu_time_millis_testing: 8.853, usercpu_time_millis_training: 42.011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8995, f_measure: 0.8178, kappa: 0.625, kb_relative_information_score: 18237.1702, mean_absolute_error: 0.3121, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8208, predictive_accuracy: 0.8199, prior_entropy: 0.9835, recall: 0.8199, relative_absolute_error: 0.6388, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3672, root_relative_squared_error: 0.7429, scimark_benchmark: 1851.8567, usercpu_time_millis: 38.091, usercpu_time_millis_testing: 2.758, usercpu_time_millis_training: 35.333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0508, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1856.0123, usercpu_time_millis: 61.302, usercpu_time_millis_testing: 6.905, usercpu_time_millis_training: 54.397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8875, f_measure: 0.8101, kappa: 0.6106, kb_relative_information_score: 20420.2462, mean_absolute_error: 0.2831, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.81, predictive_accuracy: 0.8106, prior_entropy: 0.9835, recall: 0.8106, relative_absolute_error: 0.5794, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3666, root_relative_squared_error: 0.7417, scimark_benchmark: 1846.6923, usercpu_time_millis: 45.902, usercpu_time_millis_testing: 1.994, usercpu_time_millis_training: 43.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8038, f_measure: 0.7447, kappa: 0.478, kb_relative_information_score: 6816.0669, mean_absolute_error: 0.4309, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7721, predictive_accuracy: 0.7568, prior_entropy: 0.9835, recall: 0.7568, relative_absolute_error: 0.8819, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4453, root_relative_squared_error: 0.901, scimark_benchmark: 1844.6953, usercpu_time_millis: 14.783, usercpu_time_millis_testing: 1.345, usercpu_time_millis_training: 13.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8968, f_measure: 0.8137, kappa: 0.6166, kb_relative_information_score: 17917.0846, mean_absolute_error: 0.3156, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8172, predictive_accuracy: 0.8161, prior_entropy: 0.9835, recall: 0.8161, relative_absolute_error: 0.6458, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3697, root_relative_squared_error: 0.7479, scimark_benchmark: 1827.3632, usercpu_time_millis: 23.803, usercpu_time_millis_testing: 1.338, usercpu_time_millis_training: 22.465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: -0.3385, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1842.6679, usercpu_time_millis: 46.606, usercpu_time_millis_testing: 8.089, usercpu_time_millis_training: 38.517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8064, f_measure: 0.7456, kappa: 0.4798, kb_relative_information_score: 7367.5999, mean_absolute_error: 0.4257, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7726, predictive_accuracy: 0.7575, prior_entropy: 0.9835, recall: 0.7575, relative_absolute_error: 0.8713, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4417, root_relative_squared_error: 0.8937, scimark_benchmark: 1845.3208, usercpu_time_millis: 67.282, usercpu_time_millis_testing: 8.884, usercpu_time_millis_training: 58.398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8653, f_measure: 0.7734, kappa: 0.5339, kb_relative_information_score: 17163.5412, mean_absolute_error: 0.3203, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7826, predictive_accuracy: 0.7788, prior_entropy: 0.9835, recall: 0.7788, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3871, root_relative_squared_error: 0.7832, scimark_benchmark: 1832.4342, usercpu_time_millis: 87.722, usercpu_time_millis_testing: 4.684, usercpu_time_millis_training: 83.038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8522, f_measure: 0.7554, kappa: 0.4974, kb_relative_information_score: 15510.3289, mean_absolute_error: 0.3389, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7695, predictive_accuracy: 0.7631, prior_entropy: 0.9835, recall: 0.7631, relative_absolute_error: 0.6936, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3991, root_relative_squared_error: 0.8075, scimark_benchmark: 1839.6613, usercpu_time_millis: 71.048, usercpu_time_millis_testing: 6.374, usercpu_time_millis_training: 64.674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: -1.0633, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1827.3598, usercpu_time_millis: 84.83, usercpu_time_millis_testing: 7.378, usercpu_time_millis_training: 77.452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.793, f_measure: 0.7483, kappa: 0.4833, kb_relative_information_score: 11504.5728, mean_absolute_error: 0.3846, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.765, predictive_accuracy: 0.7572, prior_entropy: 0.9835, recall: 0.7572, relative_absolute_error: 0.7872, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4265, root_relative_squared_error: 0.8629, scimark_benchmark: 1833.1288, usercpu_time_millis: 82.844, usercpu_time_millis_testing: 11.223, usercpu_time_millis_training: 71.621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: -0.1558, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1816.0169, usercpu_time_millis: 68.897, usercpu_time_millis_testing: 7.603, usercpu_time_millis_training: 61.294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: -0.1909, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1733.7613, usercpu_time_millis: 60.147, usercpu_time_millis_testing: 10.149, usercpu_time_millis_training: 49.998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.9249, kappa: 0.8463, kb_relative_information_score: 34124.0263, mean_absolute_error: 0.1303, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9249, predictive_accuracy: 0.9249, prior_entropy: 0.9835, recall: 0.9249, relative_absolute_error: 0.2666, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2395, root_relative_squared_error: 0.4846, scimark_benchmark: 1778.4278, usercpu_time_millis: 79.889, usercpu_time_millis_testing: 1.896, usercpu_time_millis_training: 77.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.822, f_measure: 0.7523, kappa: 0.4916, kb_relative_information_score: 12437.0145, mean_absolute_error: 0.3734, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7698, predictive_accuracy: 0.7612, prior_entropy: 0.9835, recall: 0.7612, relative_absolute_error: 0.7643, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4153, root_relative_squared_error: 0.8402, scimark_benchmark: 1794.5001, usercpu_time_millis: 96.292, usercpu_time_millis_testing: 12.41, usercpu_time_millis_training: 83.882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9302, f_measure: 0.8472, kappa: 0.6863, kb_relative_information_score: 23544.038, mean_absolute_error: 0.2515, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8476, predictive_accuracy: 0.8479, prior_entropy: 0.9835, recall: 0.8479, relative_absolute_error: 0.5146, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3303, root_relative_squared_error: 0.6682, scimark_benchmark: 1819.7105, usercpu_time_millis: 77.983, usercpu_time_millis_testing: 3.676, usercpu_time_millis_training: 74.307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9397, f_measure: 0.8601, kappa: 0.7131, kb_relative_information_score: 25667.5048, mean_absolute_error: 0.2265, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.86, predictive_accuracy: 0.8603, prior_entropy: 0.9835, recall: 0.8603, relative_absolute_error: 0.4636, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.316, root_relative_squared_error: 0.6394, scimark_benchmark: 1821.2922, usercpu_time_millis: 93.046, usercpu_time_millis_testing: 6.003, usercpu_time_millis_training: 87.043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9257, f_measure: 0.8419, kappa: 0.6753, kb_relative_information_score: 23489.9529, mean_absolute_error: 0.2508, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8422, predictive_accuracy: 0.8426, prior_entropy: 0.9835, recall: 0.8426, relative_absolute_error: 0.5134, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3339, root_relative_squared_error: 0.6755, scimark_benchmark: 1851.8567, usercpu_time_millis: 131.526, usercpu_time_millis_testing: 8.186, usercpu_time_millis_training: 123.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8402, f_measure: 0.7532, kappa: 0.4929, kb_relative_information_score: 14446.0924, mean_absolute_error: 0.3504, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7669, predictive_accuracy: 0.7609, prior_entropy: 0.9835, recall: 0.7609, relative_absolute_error: 0.7172, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4065, root_relative_squared_error: 0.8224, scimark_benchmark: 1705.2078, usercpu_time_millis: 89.192, usercpu_time_millis_testing: 6.748, usercpu_time_millis_training: 82.444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.8799, kappa: 0.7537, kb_relative_information_score: 27165.2157, mean_absolute_error: 0.2112, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8799, predictive_accuracy: 0.8801, prior_entropy: 0.9835, recall: 0.8801, relative_absolute_error: 0.4322, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2982, root_relative_squared_error: 0.6034, scimark_benchmark: 1847.2753, usercpu_time_millis: 105.562, usercpu_time_millis_testing: 5.021, usercpu_time_millis_training: 100.541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8362, f_measure: 0.7525, kappa: 0.4916, kb_relative_information_score: 13970.567, mean_absolute_error: 0.356, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7671, predictive_accuracy: 0.7605, prior_entropy: 0.9835, recall: 0.7605, relative_absolute_error: 0.7286, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.41, root_relative_squared_error: 0.8295, scimark_benchmark: 1831.9204, usercpu_time_millis: 146.361, usercpu_time_millis_testing: 9.772, usercpu_time_millis_training: 136.589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.829, kappa: 0.6489, kb_relative_information_score: 22390.5683, mean_absolute_error: 0.2623, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8293, predictive_accuracy: 0.8297, prior_entropy: 0.9835, recall: 0.8297, relative_absolute_error: 0.5368, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3457, root_relative_squared_error: 0.6994, scimark_benchmark: 1825.1897, usercpu_time_millis: 114.999, usercpu_time_millis_testing: 9.709, usercpu_time_millis_training: 105.29,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8637, f_measure: 0.7708, kappa: 0.529, kb_relative_information_score: 13946.2918, mean_absolute_error: 0.3583, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7861, predictive_accuracy: 0.778, prior_entropy: 0.9835, recall: 0.778, relative_absolute_error: 0.7333, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3987, root_relative_squared_error: 0.8067, scimark_benchmark: 1833.1505, usercpu_time_millis: 167.473, usercpu_time_millis_testing: 14.983, usercpu_time_millis_training: 152.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8678, f_measure: 0.7961, kappa: 0.5822, kb_relative_information_score: 19019.5218, mean_absolute_error: 0.2987, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.796, predictive_accuracy: 0.7964, prior_entropy: 0.9835, recall: 0.7964, relative_absolute_error: 0.6114, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3799, root_relative_squared_error: 0.7686, scimark_benchmark: 1830.387, usercpu_time_millis: 170.717, usercpu_time_millis_testing: 8.031, usercpu_time_millis_training: 162.686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9138, f_measure: 0.8311, kappa: 0.6533, kb_relative_information_score: 22723.3179, mean_absolute_error: 0.258, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8312, predictive_accuracy: 0.8317, prior_entropy: 0.9835, recall: 0.8317, relative_absolute_error: 0.528, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3447, root_relative_squared_error: 0.6975, scimark_benchmark: 1828.686, usercpu_time_millis: 167.649, usercpu_time_millis_testing: 6.724, usercpu_time_millis_training: 160.925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8627, f_measure: 0.763, kappa: 0.5132, kb_relative_information_score: 15334.4808, mean_absolute_error: 0.3419, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.779, predictive_accuracy: 0.7708, prior_entropy: 0.9835, recall: 0.7708, relative_absolute_error: 0.6996, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3946, root_relative_squared_error: 0.7984, scimark_benchmark: 1839.1303, usercpu_time_millis: 171.489, usercpu_time_millis_testing: 14.839, usercpu_time_millis_training: 156.65,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8361, f_measure: 0.7487, kappa: 0.4841, kb_relative_information_score: 15806.1376, mean_absolute_error: 0.3329, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7655, predictive_accuracy: 0.7575, prior_entropy: 0.9835, recall: 0.7575, relative_absolute_error: 0.6812, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4044, root_relative_squared_error: 0.8181, scimark_benchmark: 1820.3031, usercpu_time_millis: 126.502, usercpu_time_millis_testing: 11.682, usercpu_time_millis_training: 114.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9721, f_measure: 0.912, kappa: 0.8198, kb_relative_information_score: 32207.1137, mean_absolute_error: 0.1526, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.912, predictive_accuracy: 0.912, prior_entropy: 0.9835, recall: 0.912, relative_absolute_error: 0.3124, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2566, root_relative_squared_error: 0.5191, scimark_benchmark: 1839.5885, usercpu_time_millis: 98.423, usercpu_time_millis_testing: 2.529, usercpu_time_millis_training: 95.894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8033, f_measure: 0.7492, kappa: 0.4853, kb_relative_information_score: 12194.6667, mean_absolute_error: 0.377, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7662, predictive_accuracy: 0.7581, prior_entropy: 0.9835, recall: 0.7581, relative_absolute_error: 0.7716, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4201, root_relative_squared_error: 0.85, scimark_benchmark: 1859.1356, usercpu_time_millis: 76.608, usercpu_time_millis_testing: 8.588, usercpu_time_millis_training: 68.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9309, kappa: 0.8586, kb_relative_information_score: 35583.5993, mean_absolute_error: 0.1128, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9309, predictive_accuracy: 0.9309, prior_entropy: 0.9835, recall: 0.9309, relative_absolute_error: 0.2309, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2272, root_relative_squared_error: 0.4596, scimark_benchmark: 1853.9849, usercpu_time_millis: 94.616, usercpu_time_millis_testing: 3.004, usercpu_time_millis_training: 91.612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9208, f_measure: 0.8394, kappa: 0.67, kb_relative_information_score: 20517.4475, mean_absolute_error: 0.2881, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8404, predictive_accuracy: 0.8405, prior_entropy: 0.9835, recall: 0.8405, relative_absolute_error: 0.5896, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3475, root_relative_squared_error: 0.703, scimark_benchmark: 1859.1356, usercpu_time_millis: 81.463, usercpu_time_millis_testing: 6.215, usercpu_time_millis_training: 75.248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: -1.7604, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1842.8383, usercpu_time_millis: 62.901, usercpu_time_millis_testing: 5.347, usercpu_time_millis_training: 57.554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8783, f_measure: 0.7902, kappa: 0.5682, kb_relative_information_score: 15798.6233, mean_absolute_error: 0.3383, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7994, predictive_accuracy: 0.7949, prior_entropy: 0.9835, recall: 0.7949, relative_absolute_error: 0.6923, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3859, root_relative_squared_error: 0.7806, scimark_benchmark: 1818.9456, usercpu_time_millis: 91.056, usercpu_time_millis_testing: 8.935, usercpu_time_millis_training: 82.121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: -1.6399, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1838.645, usercpu_time_millis: 107.24, usercpu_time_millis_testing: 9.793, usercpu_time_millis_training: 97.447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8713, f_measure: 0.7879, kappa: 0.5634, kb_relative_information_score: 17980.6093, mean_absolute_error: 0.3108, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.795, predictive_accuracy: 0.792, prior_entropy: 0.9835, recall: 0.792, relative_absolute_error: 0.6362, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3817, root_relative_squared_error: 0.7722, scimark_benchmark: 1837.5732, usercpu_time_millis: 80.848, usercpu_time_millis_testing: 4.508, usercpu_time_millis_training: 76.34,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

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

OpenML APIs