Task
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: 0.8522, 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: 0.9809, 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: 0.8653, 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: 0.8033, 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: 0.8033, f_measure: 0.7523, kappa: 0.492, kb_relative_information_score: 11036.791, mean_absolute_error: 0.3893, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7716, predictive_accuracy: 0.7617, prior_entropy: 0.9835, recall: 0.7617, relative_absolute_error: 0.7967, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4227, root_relative_squared_error: 0.8553, scimark_benchmark: 1849.9051, usercpu_time_millis: 97.377, usercpu_time_millis_testing: 11.081, usercpu_time_millis_training: 86.296,
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: 0.8064, 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: 0.9007, f_measure: 0.817, kappa: 0.6246, kb_relative_information_score: 21971.9336, mean_absolute_error: 0.265, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.817, predictive_accuracy: 0.8176, prior_entropy: 0.9835, recall: 0.8176, relative_absolute_error: 0.5423, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3559, root_relative_squared_error: 0.72, scimark_benchmark: 1849.8735, usercpu_time_millis: 55.94, usercpu_time_millis_testing: 1.697, usercpu_time_millis_training: 54.243,
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: 0.8598, 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: 0.8496, 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: 0.5, 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: 0.9235, 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: 0.8649, 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: 0.788, 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: 0.916, 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: 0.8749, 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: 0.9559, 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: 0.877, 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: 0.4999, 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: 0.5001, 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: 0.5001, 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: 0.5, 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: 0.5, 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: 0.9789, 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: 0.898, 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: 0.8532, 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: 0.8875, 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: 0.9689, 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: 0.9371, 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: 0.5, 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 - 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: -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: 0.936, 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: 0.829, 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,
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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: 0.9203, f_measure: 0.8387, kappa: 0.6693, kb_relative_information_score: 23918.781, mean_absolute_error: 0.2437, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8387, predictive_accuracy: 0.8391, prior_entropy: 0.9835, recall: 0.8391, relative_absolute_error: 0.4988, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3374, root_relative_squared_error: 0.6826, scimark_benchmark: 1830.5374, usercpu_time_millis: 447.855, usercpu_time_millis_testing: 15.774, usercpu_time_millis_training: 432.081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.927, f_measure: 0.8447, kappa: 0.6816, kb_relative_information_score: 24811.2164, mean_absolute_error: 0.2339, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8446, predictive_accuracy: 0.845, prior_entropy: 0.9835, recall: 0.845, relative_absolute_error: 0.4787, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3298, root_relative_squared_error: 0.6672, scimark_benchmark: 1853.3841, usercpu_time_millis: 424.106, usercpu_time_millis_testing: 15.132, usercpu_time_millis_training: 408.974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8978, f_measure: 0.8158, kappa: 0.6222, kb_relative_information_score: 21656.3054, mean_absolute_error: 0.2686, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8157, predictive_accuracy: 0.8163, prior_entropy: 0.9835, recall: 0.8163, relative_absolute_error: 0.5498, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3582, root_relative_squared_error: 0.7247, scimark_benchmark: 1850.2875, usercpu_time_millis: 354.493, usercpu_time_millis_testing: 14.161, usercpu_time_millis_training: 340.332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9021, f_measure: 0.8185, kappa: 0.6276, kb_relative_information_score: 22660.569, mean_absolute_error: 0.2561, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8185, predictive_accuracy: 0.8191, prior_entropy: 0.9835, recall: 0.8191, relative_absolute_error: 0.5241, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3539, root_relative_squared_error: 0.716, scimark_benchmark: 1838.6023, usercpu_time_millis: 332.016, usercpu_time_millis_testing: 11.238, usercpu_time_millis_training: 320.778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9249, f_measure: 0.8428, kappa: 0.6776, kb_relative_information_score: 24202.8842, mean_absolute_error: 0.2414, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8427, predictive_accuracy: 0.8432, prior_entropy: 0.9835, recall: 0.8432, relative_absolute_error: 0.494, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3328, root_relative_squared_error: 0.6733, scimark_benchmark: 1852.4008, usercpu_time_millis: 323.978, usercpu_time_millis_testing: 13.348, usercpu_time_millis_training: 310.63,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.865, f_measure: 0.7663, kappa: 0.5198, kb_relative_information_score: 15695.7748, mean_absolute_error: 0.3378, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7809, predictive_accuracy: 0.7736, prior_entropy: 0.9835, recall: 0.7736, relative_absolute_error: 0.6914, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3923, root_relative_squared_error: 0.7938, scimark_benchmark: 1607.9837, usercpu_time_millis: 282.698, usercpu_time_millis_testing: 30.513, usercpu_time_millis_training: 252.185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9281, f_measure: 0.8456, kappa: 0.6832, kb_relative_information_score: 24385.5681, mean_absolute_error: 0.2397, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8456, predictive_accuracy: 0.846, prior_entropy: 0.9835, recall: 0.846, relative_absolute_error: 0.4906, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3298, root_relative_squared_error: 0.6672, scimark_benchmark: 1855.0232, usercpu_time_millis: 311.494, usercpu_time_millis_testing: 15.263, usercpu_time_millis_training: 296.231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8661, f_measure: 0.7933, kappa: 0.576, kb_relative_information_score: 18557.3323, mean_absolute_error: 0.3037, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7931, predictive_accuracy: 0.7939, prior_entropy: 0.9835, recall: 0.7939, relative_absolute_error: 0.6215, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3818, root_relative_squared_error: 0.7725, scimark_benchmark: 1829.4051, usercpu_time_millis: 279.281, usercpu_time_millis_testing: 13.365, usercpu_time_millis_training: 265.916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9063, f_measure: 0.8226, kappa: 0.6359, kb_relative_information_score: 22097.0158, mean_absolute_error: 0.2645, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8227, predictive_accuracy: 0.8233, prior_entropy: 0.9835, recall: 0.8233, relative_absolute_error: 0.5414, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3514, root_relative_squared_error: 0.7109, scimark_benchmark: 1846.9558, usercpu_time_millis: 329.611, usercpu_time_millis_testing: 15.243, usercpu_time_millis_training: 314.368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.933, f_measure: 0.8512, kappa: 0.6948, kb_relative_information_score: 24950.2652, mean_absolute_error: 0.2338, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8512, predictive_accuracy: 0.8516, prior_entropy: 0.9835, recall: 0.8516, relative_absolute_error: 0.4784, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3241, root_relative_squared_error: 0.6557, scimark_benchmark: 1848.2615, usercpu_time_millis: 286.654, usercpu_time_millis_testing: 15.103, usercpu_time_millis_training: 271.551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9346, f_measure: 0.8526, kappa: 0.6977, kb_relative_information_score: 25213.3828, mean_absolute_error: 0.2307, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8526, predictive_accuracy: 0.853, prior_entropy: 0.9835, recall: 0.853, relative_absolute_error: 0.4721, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3222, root_relative_squared_error: 0.6518, scimark_benchmark: 1838.6751, usercpu_time_millis: 245.85, usercpu_time_millis_testing: 8.692, usercpu_time_millis_training: 237.158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9289, f_measure: 0.8474, kappa: 0.687, kb_relative_information_score: 24641.3188, mean_absolute_error: 0.2366, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8474, predictive_accuracy: 0.8478, prior_entropy: 0.9835, recall: 0.8478, relative_absolute_error: 0.4843, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3284, root_relative_squared_error: 0.6645, scimark_benchmark: 1818.9456, usercpu_time_millis: 251.448, usercpu_time_millis_testing: 10.505, usercpu_time_millis_training: 240.943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.898, f_measure: 0.816, kappa: 0.6214, kb_relative_information_score: 18179.9265, mean_absolute_error: 0.3126, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8193, predictive_accuracy: 0.8183, prior_entropy: 0.9835, recall: 0.8183, relative_absolute_error: 0.6398, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.368, root_relative_squared_error: 0.7445, scimark_benchmark: 1838.7526, usercpu_time_millis: 260.997, usercpu_time_millis_testing: 26.608, usercpu_time_millis_training: 234.389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8553, f_measure: 0.7876, kappa: 0.5644, kb_relative_information_score: 18574.5796, mean_absolute_error: 0.3028, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7874, predictive_accuracy: 0.7881, prior_entropy: 0.9835, recall: 0.7881, relative_absolute_error: 0.6197, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3865, root_relative_squared_error: 0.7819, scimark_benchmark: 1832.6275, usercpu_time_millis: 288.956, usercpu_time_millis_testing: 13.87, usercpu_time_millis_training: 275.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9044, f_measure: 0.8213, kappa: 0.6323, kb_relative_information_score: 18754.6129, mean_absolute_error: 0.3066, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8237, predictive_accuracy: 0.8231, prior_entropy: 0.9835, recall: 0.8231, relative_absolute_error: 0.6275, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3629, root_relative_squared_error: 0.7342, scimark_benchmark: 1836.7253, usercpu_time_millis: 235.504, usercpu_time_millis_testing: 20.531, usercpu_time_millis_training: 214.973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8739, f_measure: 0.7975, kappa: 0.5846, kb_relative_information_score: 19117.2087, mean_absolute_error: 0.2979, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7974, predictive_accuracy: 0.7981, prior_entropy: 0.9835, recall: 0.7981, relative_absolute_error: 0.6096, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3768, root_relative_squared_error: 0.7624, scimark_benchmark: 1837.1902, usercpu_time_millis: 219.326, usercpu_time_millis_testing: 15.144, usercpu_time_millis_training: 204.182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8643, f_measure: 0.7913, kappa: 0.5723, kb_relative_information_score: 18585.8438, mean_absolute_error: 0.3032, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7911, predictive_accuracy: 0.7917, prior_entropy: 0.9835, recall: 0.7917, relative_absolute_error: 0.6206, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3827, root_relative_squared_error: 0.7742, scimark_benchmark: 1836.1651, usercpu_time_millis: 216.19, usercpu_time_millis_testing: 11.743, usercpu_time_millis_training: 204.447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9236, f_measure: 0.8397, kappa: 0.6707, kb_relative_information_score: 22744.2269, mean_absolute_error: 0.2602, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8401, predictive_accuracy: 0.8405, prior_entropy: 0.9835, recall: 0.8405, relative_absolute_error: 0.5325, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3375, root_relative_squared_error: 0.6829, scimark_benchmark: 1839.7911, usercpu_time_millis: 245.494, usercpu_time_millis_testing: 14.742, usercpu_time_millis_training: 230.752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.923, f_measure: 0.8407, kappa: 0.6731, kb_relative_information_score: 23629.6563, mean_absolute_error: 0.2484, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8408, predictive_accuracy: 0.8412, prior_entropy: 0.9835, recall: 0.8412, relative_absolute_error: 0.5084, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3356, root_relative_squared_error: 0.6789, scimark_benchmark: 1837.1955, usercpu_time_millis: 236.797, usercpu_time_millis_testing: 16.508, usercpu_time_millis_training: 220.289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8518, f_measure: 0.7688, kappa: 0.5242, kb_relative_information_score: 17154.5186, mean_absolute_error: 0.3186, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7754, predictive_accuracy: 0.7734, prior_entropy: 0.9835, recall: 0.7734, relative_absolute_error: 0.6521, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3929, root_relative_squared_error: 0.7949, scimark_benchmark: 1815.0712, usercpu_time_millis: 215.924, usercpu_time_millis_testing: 13.367, usercpu_time_millis_training: 202.557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8922, f_measure: 0.8135, kappa: 0.6173, kb_relative_information_score: 20688.4368, mean_absolute_error: 0.2803, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8135, predictive_accuracy: 0.8142, prior_entropy: 0.9835, recall: 0.8142, relative_absolute_error: 0.5737, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.735, scimark_benchmark: 1836.7415, usercpu_time_millis: 235.027, usercpu_time_millis_testing: 16.012, usercpu_time_millis_training: 219.015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8745, f_measure: 0.7839, kappa: 0.5555, kb_relative_information_score: 15280.3037, mean_absolute_error: 0.3439, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7949, predictive_accuracy: 0.7893, prior_entropy: 0.9835, recall: 0.7893, relative_absolute_error: 0.7038, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3895, root_relative_squared_error: 0.7879, scimark_benchmark: 1838.2581, usercpu_time_millis: 201.499, usercpu_time_millis_testing: 19.798, usercpu_time_millis_training: 181.701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9173, f_measure: 0.8337, kappa: 0.6585, kb_relative_information_score: 22505.6502, mean_absolute_error: 0.2616, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8341, predictive_accuracy: 0.8345, prior_entropy: 0.9835, recall: 0.8345, relative_absolute_error: 0.5354, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3427, root_relative_squared_error: 0.6934, scimark_benchmark: 1845.9141, usercpu_time_millis: 205.029, usercpu_time_millis_testing: 13.222, usercpu_time_millis_training: 191.807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8761, f_measure: 0.7877, kappa: 0.563, kb_relative_information_score: 17934.2835, mean_absolute_error: 0.3119, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7955, predictive_accuracy: 0.7921, prior_entropy: 0.9835, recall: 0.7921, relative_absolute_error: 0.6383, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3798, root_relative_squared_error: 0.7684, scimark_benchmark: 1849.408, usercpu_time_millis: 223.048, usercpu_time_millis_testing: 16.549, usercpu_time_millis_training: 206.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9328, f_measure: 0.8502, kappa: 0.6927, kb_relative_information_score: 24989.8307, mean_absolute_error: 0.2331, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8502, predictive_accuracy: 0.8506, prior_entropy: 0.9835, recall: 0.8506, relative_absolute_error: 0.477, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3243, root_relative_squared_error: 0.6561, scimark_benchmark: 1847.3406, usercpu_time_millis: 222.436, usercpu_time_millis_testing: 8.451, usercpu_time_millis_training: 213.985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8652, f_measure: 0.7713, kappa: 0.5296, kb_relative_information_score: 17055.6325, mean_absolute_error: 0.3215, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7816, predictive_accuracy: 0.7771, prior_entropy: 0.9835, recall: 0.7771, relative_absolute_error: 0.658, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3878, root_relative_squared_error: 0.7845, scimark_benchmark: 1852.3877, usercpu_time_millis: 202.721, usercpu_time_millis_testing: 14.988, usercpu_time_millis_training: 187.733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8828, f_measure: 0.8032, kappa: 0.5963, kb_relative_information_score: 20059.6998, mean_absolute_error: 0.287, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8032, predictive_accuracy: 0.8039, prior_entropy: 0.9835, recall: 0.8039, relative_absolute_error: 0.5874, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3703, root_relative_squared_error: 0.7491, scimark_benchmark: 1822.3184, usercpu_time_millis: 189.338, usercpu_time_millis_testing: 14.697, usercpu_time_millis_training: 174.641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8537, f_measure: 0.7747, kappa: 0.5363, kb_relative_information_score: 17792.6592, mean_absolute_error: 0.3117, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7802, predictive_accuracy: 0.7787, prior_entropy: 0.9835, recall: 0.7787, relative_absolute_error: 0.6379, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3902, root_relative_squared_error: 0.7893, scimark_benchmark: 1841.8022, usercpu_time_millis: 188.413, usercpu_time_millis_testing: 10.72, usercpu_time_millis_training: 177.693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8829, f_measure: 0.7962, kappa: 0.5806, kb_relative_information_score: 16384.2409, mean_absolute_error: 0.332, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8038, predictive_accuracy: 0.8003, prior_entropy: 0.9835, recall: 0.8003, relative_absolute_error: 0.6794, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3816, root_relative_squared_error: 0.7721, scimark_benchmark: 1845.9141, usercpu_time_millis: 216.37, usercpu_time_millis_testing: 21.926, usercpu_time_millis_training: 194.444,

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