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: 0.8411, f_measure: 0.7573, kappa: 0.5024, kb_relative_information_score: 11316.0668, mean_absolute_error: 0.3865, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7776, predictive_accuracy: 0.7667, prior_entropy: 0.9835, recall: 0.7667, relative_absolute_error: 0.7909, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4161, root_relative_squared_error: 0.8418, scimark_benchmark: 1845.6661, usercpu_time_millis: 98.531, usercpu_time_millis_testing: 9.536, usercpu_time_millis_training: 88.995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8512, f_measure: 0.7687, kappa: 0.5241, kb_relative_information_score: 16897.3085, mean_absolute_error: 0.3218, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7776, predictive_accuracy: 0.7741, prior_entropy: 0.9835, recall: 0.7741, relative_absolute_error: 0.6586, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3945, root_relative_squared_error: 0.7982, scimark_benchmark: 1849.3742, usercpu_time_millis: 116.279, usercpu_time_millis_testing: 9.759, usercpu_time_millis_training: 106.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8426, f_measure: 0.7523, kappa: 0.4913, kb_relative_information_score: 15246.4271, mean_absolute_error: 0.34, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7678, predictive_accuracy: 0.7605, prior_entropy: 0.9835, recall: 0.7605, relative_absolute_error: 0.6958, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8217, scimark_benchmark: 1838.217, usercpu_time_millis: 93.254, usercpu_time_millis_testing: 7.731, usercpu_time_millis_training: 85.523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: -1.37, 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: 1855.4813, usercpu_time_millis: 106.519, usercpu_time_millis_testing: 8.93, usercpu_time_millis_training: 97.589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8719, f_measure: 0.7787, kappa: 0.5447, kb_relative_information_score: 17383.9024, mean_absolute_error: 0.318, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7897, predictive_accuracy: 0.7843, prior_entropy: 0.9835, recall: 0.7843, relative_absolute_error: 0.6508, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3837, root_relative_squared_error: 0.7763, scimark_benchmark: 1854.4951, usercpu_time_millis: 140.2, usercpu_time_millis_testing: 13.069, usercpu_time_millis_training: 127.131,
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: 0.8033, 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: 0.8949, f_measure: 0.8158, kappa: 0.6221, kb_relative_information_score: 21145.9101, mean_absolute_error: 0.275, 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: 0.5628, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3608, root_relative_squared_error: 0.7299, scimark_benchmark: 1838.1793, usercpu_time_millis: 112.712, usercpu_time_millis_testing: 3.896, usercpu_time_millis_training: 108.816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8857, f_measure: 0.807, kappa: 0.6039, kb_relative_information_score: 20108.9575, mean_absolute_error: 0.2867, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.807, predictive_accuracy: 0.8077, prior_entropy: 0.9835, recall: 0.8077, relative_absolute_error: 0.5867, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3683, root_relative_squared_error: 0.7452, scimark_benchmark: 1834.8148, usercpu_time_millis: 175.307, usercpu_time_millis_testing: 16.8, usercpu_time_millis_training: 158.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.899, f_measure: 0.8181, kappa: 0.6264, kb_relative_information_score: 20906.2222, mean_absolute_error: 0.2785, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8185, predictive_accuracy: 0.819, prior_entropy: 0.9835, recall: 0.819, relative_absolute_error: 0.5701, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3587, root_relative_squared_error: 0.7256, scimark_benchmark: 1825.7178, usercpu_time_millis: 170.229, usercpu_time_millis_testing: 9.294, usercpu_time_millis_training: 160.935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8617, f_measure: 0.7656, kappa: 0.5184, kb_relative_information_score: 16562.3079, mean_absolute_error: 0.3271, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7796, predictive_accuracy: 0.7728, prior_entropy: 0.9835, recall: 0.7728, relative_absolute_error: 0.6694, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3912, root_relative_squared_error: 0.7915, scimark_benchmark: 1823.8876, usercpu_time_millis: 170.491, usercpu_time_millis_testing: 14.973, usercpu_time_millis_training: 155.518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8359, f_measure: 0.7551, kappa: 0.498, kb_relative_information_score: 10798.0763, mean_absolute_error: 0.3919, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7769, predictive_accuracy: 0.765, prior_entropy: 0.9835, recall: 0.765, relative_absolute_error: 0.802, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4195, root_relative_squared_error: 0.8486, scimark_benchmark: 1687.9703, usercpu_time_millis: 203.771, usercpu_time_millis_testing: 14.014, usercpu_time_millis_training: 189.757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.935, f_measure: 0.8571, kappa: 0.707, kb_relative_information_score: 26371.763, mean_absolute_error: 0.216, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.857, predictive_accuracy: 0.8573, prior_entropy: 0.9835, recall: 0.8573, relative_absolute_error: 0.442, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3192, root_relative_squared_error: 0.6457, scimark_benchmark: 1826.0189, usercpu_time_millis: 173.609, usercpu_time_millis_testing: 3.701, usercpu_time_millis_training: 169.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9457, f_measure: 0.8682, kappa: 0.7297, kb_relative_information_score: 26247.5594, mean_absolute_error: 0.2203, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8682, predictive_accuracy: 0.8685, prior_entropy: 0.9835, recall: 0.8685, relative_absolute_error: 0.4509, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3092, root_relative_squared_error: 0.6255, scimark_benchmark: 1833.1288, usercpu_time_millis: 214.203, usercpu_time_millis_testing: 8.909, usercpu_time_millis_training: 205.294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8642, f_measure: 0.7714, kappa: 0.5298, kb_relative_information_score: 16975.936, mean_absolute_error: 0.3225, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.782, predictive_accuracy: 0.7773, prior_entropy: 0.9835, recall: 0.7773, relative_absolute_error: 0.6599, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3884, root_relative_squared_error: 0.7857, scimark_benchmark: 1848.8485, usercpu_time_millis: 166.872, usercpu_time_millis_testing: 12.431, usercpu_time_millis_training: 154.441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9566, f_measure: 0.8859, kappa: 0.7662, kb_relative_information_score: 28048.0614, mean_absolute_error: 0.2006, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8859, predictive_accuracy: 0.8861, prior_entropy: 0.9835, recall: 0.8861, relative_absolute_error: 0.4106, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2922, root_relative_squared_error: 0.5913, scimark_benchmark: 1823.1744, usercpu_time_millis: 186.506, usercpu_time_millis_testing: 5.776, usercpu_time_millis_training: 180.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.913, f_measure: 0.8291, kappa: 0.6493, kb_relative_information_score: 23082.1266, mean_absolute_error: 0.2529, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8291, predictive_accuracy: 0.8296, prior_entropy: 0.9835, recall: 0.8296, relative_absolute_error: 0.5176, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3447, root_relative_squared_error: 0.6975, scimark_benchmark: 1846.7651, usercpu_time_millis: 546.953, usercpu_time_millis_testing: 23.091, usercpu_time_millis_training: 523.862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8805, f_measure: 0.7914, kappa: 0.5707, kb_relative_information_score: 16069.5723, mean_absolute_error: 0.3353, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7999, predictive_accuracy: 0.7959, prior_entropy: 0.9835, recall: 0.7959, relative_absolute_error: 0.6863, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3839, root_relative_squared_error: 0.7767, scimark_benchmark: 1837.1902, usercpu_time_millis: 105.988, usercpu_time_millis_testing: 9.162, usercpu_time_millis_training: 96.826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8479, f_measure: 0.7544, kappa: 0.4955, kb_relative_information_score: 14937.3562, mean_absolute_error: 0.3451, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.769, predictive_accuracy: 0.7623, prior_entropy: 0.9835, recall: 0.7623, relative_absolute_error: 0.7062, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4028, root_relative_squared_error: 0.8149, scimark_benchmark: 1796.0572, usercpu_time_millis: 74.553, usercpu_time_millis_testing: 8.541, usercpu_time_millis_training: 66.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8299, f_measure: 0.749, kappa: 0.4849, kb_relative_information_score: 13980.6716, mean_absolute_error: 0.3554, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7658, predictive_accuracy: 0.7579, prior_entropy: 0.9835, recall: 0.7579, relative_absolute_error: 0.7274, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4139, root_relative_squared_error: 0.8374, scimark_benchmark: 1845.7802, usercpu_time_millis: 103.48, usercpu_time_millis_testing: 8.177, usercpu_time_millis_training: 95.303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.847, f_measure: 0.7551, kappa: 0.4966, kb_relative_information_score: 15152.8412, mean_absolute_error: 0.3427, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.768, predictive_accuracy: 0.7624, prior_entropy: 0.9835, recall: 0.7624, relative_absolute_error: 0.7013, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4021, root_relative_squared_error: 0.8135, scimark_benchmark: 1849.447, usercpu_time_millis: 123.658, usercpu_time_millis_testing: 10.968, usercpu_time_millis_training: 112.69,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.889, f_measure: 0.8112, kappa: 0.6129, kb_relative_information_score: 20954.3901, mean_absolute_error: 0.2766, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8111, predictive_accuracy: 0.8116, prior_entropy: 0.9835, recall: 0.8116, relative_absolute_error: 0.5661, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3649, root_relative_squared_error: 0.7383, scimark_benchmark: 1847.8034, usercpu_time_millis: 109.328, usercpu_time_millis_testing: 3.988, usercpu_time_millis_training: 105.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: -1.0267, 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: 1850.5112, usercpu_time_millis: 80.662, usercpu_time_millis_testing: 8.663, usercpu_time_millis_training: 71.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, f_measure: 0.8003, kappa: 0.59, kb_relative_information_score: 19171.3277, mean_absolute_error: 0.2972, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8005, predictive_accuracy: 0.8013, prior_entropy: 0.9835, recall: 0.8013, relative_absolute_error: 0.6083, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3752, root_relative_squared_error: 0.7591, scimark_benchmark: 1855.4813, usercpu_time_millis: 123.067, usercpu_time_millis_testing: 9.057, usercpu_time_millis_training: 114.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8621, f_measure: 0.7658, kappa: 0.5186, kb_relative_information_score: 16604.0024, mean_absolute_error: 0.3267, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7791, predictive_accuracy: 0.7727, prior_entropy: 0.9835, recall: 0.7727, relative_absolute_error: 0.6686, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3909, root_relative_squared_error: 0.7908, scimark_benchmark: 1852.9259, usercpu_time_millis: 139.412, usercpu_time_millis_testing: 11.429, usercpu_time_millis_training: 127.983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8806, f_measure: 0.7928, kappa: 0.5737, kb_relative_information_score: 16122.4197, mean_absolute_error: 0.3348, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8011, predictive_accuracy: 0.7972, prior_entropy: 0.9835, recall: 0.7972, relative_absolute_error: 0.6852, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3836, root_relative_squared_error: 0.7761, scimark_benchmark: 1806.0373, usercpu_time_millis: 96.554, usercpu_time_millis_testing: 7.934, usercpu_time_millis_training: 88.62,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.94, f_measure: 0.8594, kappa: 0.7117, kb_relative_information_score: 25627.728, mean_absolute_error: 0.2268, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8595, predictive_accuracy: 0.8598, prior_entropy: 0.9835, recall: 0.8598, relative_absolute_error: 0.4642, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3162, root_relative_squared_error: 0.6397, scimark_benchmark: 1733.299, usercpu_time_millis: 119.374, usercpu_time_millis_testing: 5.216, usercpu_time_millis_training: 114.158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9176, f_measure: 0.8341, kappa: 0.6592, kb_relative_information_score: 22074.1883, mean_absolute_error: 0.2675, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8349, predictive_accuracy: 0.8351, prior_entropy: 0.9835, recall: 0.8351, relative_absolute_error: 0.5474, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3436, root_relative_squared_error: 0.6951, scimark_benchmark: 1775.8331, usercpu_time_millis: 130.633, usercpu_time_millis_testing: 11.653, usercpu_time_millis_training: 118.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9011, f_measure: 0.8189, kappa: 0.6276, kb_relative_information_score: 20224.1612, mean_absolute_error: 0.2876, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8207, predictive_accuracy: 0.8206, prior_entropy: 0.9835, recall: 0.8206, relative_absolute_error: 0.5887, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3593, root_relative_squared_error: 0.7269, scimark_benchmark: 1853.9121, usercpu_time_millis: 183.555, usercpu_time_millis_testing: 13.315, usercpu_time_millis_training: 170.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8898, f_measure: 0.8114, kappa: 0.6121, kb_relative_information_score: 19553.0414, mean_absolute_error: 0.294, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8134, predictive_accuracy: 0.8133, prior_entropy: 0.9835, recall: 0.8133, relative_absolute_error: 0.6017, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.7437, scimark_benchmark: 1793.5867, usercpu_time_millis: 140.792, usercpu_time_millis_testing: 9.134, usercpu_time_millis_training: 131.658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8525, f_measure: 0.7649, kappa: 0.5165, kb_relative_information_score: 16362.245, mean_absolute_error: 0.3285, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7761, predictive_accuracy: 0.7712, prior_entropy: 0.9835, recall: 0.7712, relative_absolute_error: 0.6723, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3966, root_relative_squared_error: 0.8023, scimark_benchmark: 1849.8294, usercpu_time_millis: 130.537, usercpu_time_millis_testing: 10.797, usercpu_time_millis_training: 119.74,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9012, f_measure: 0.8185, kappa: 0.6265, kb_relative_information_score: 18434.8206, mean_absolute_error: 0.31, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8214, predictive_accuracy: 0.8205, prior_entropy: 0.9835, recall: 0.8205, relative_absolute_error: 0.6345, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3656, root_relative_squared_error: 0.7397, scimark_benchmark: 1780.046, usercpu_time_millis: 176.393, usercpu_time_millis_testing: 13.728, usercpu_time_millis_training: 162.665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8969, f_measure: 0.8185, kappa: 0.6279, kb_relative_information_score: 21448.4774, mean_absolute_error: 0.2713, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8184, predictive_accuracy: 0.8189, prior_entropy: 0.9835, recall: 0.8189, relative_absolute_error: 0.5552, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.359, root_relative_squared_error: 0.7263, scimark_benchmark: 1854.8318, usercpu_time_millis: 150.076, usercpu_time_millis_testing: 8.757, usercpu_time_millis_training: 141.319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8673, f_measure: 0.782, kappa: 0.5513, kb_relative_information_score: 17776.6294, mean_absolute_error: 0.3131, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.789, predictive_accuracy: 0.7863, prior_entropy: 0.9835, recall: 0.7863, relative_absolute_error: 0.6409, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.384, root_relative_squared_error: 0.7768, scimark_benchmark: 1828.3828, usercpu_time_millis: 161.362, usercpu_time_millis_testing: 15.333, usercpu_time_millis_training: 146.029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9426, f_measure: 0.8635, kappa: 0.7202, kb_relative_information_score: 26146.8712, mean_absolute_error: 0.2209, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8635, predictive_accuracy: 0.8637, prior_entropy: 0.9835, recall: 0.8637, relative_absolute_error: 0.4521, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3121, root_relative_squared_error: 0.6315, scimark_benchmark: 1850.2875, usercpu_time_millis: 182.237, usercpu_time_millis_testing: 7.841, usercpu_time_millis_training: 174.396,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.89, f_measure: 0.8128, kappa: 0.6161, kb_relative_information_score: 20735.4817, mean_absolute_error: 0.2795, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8126, predictive_accuracy: 0.8132, prior_entropy: 0.9835, recall: 0.8132, relative_absolute_error: 0.5721, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3646, root_relative_squared_error: 0.7376, scimark_benchmark: 1817.5042, usercpu_time_millis: 391.126, usercpu_time_millis_testing: 21.21, usercpu_time_millis_training: 369.916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9493, f_measure: 0.8766, kappa: 0.7473, kb_relative_information_score: 27498.2853, mean_absolute_error: 0.2054, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8766, predictive_accuracy: 0.8767, prior_entropy: 0.9835, recall: 0.8767, relative_absolute_error: 0.4204, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3018, root_relative_squared_error: 0.6105, scimark_benchmark: 1813.514, usercpu_time_millis: 253.868, usercpu_time_millis_testing: 7.022, usercpu_time_millis_training: 246.846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8808, f_measure: 0.8038, kappa: 0.5975, kb_relative_information_score: 19953.3445, mean_absolute_error: 0.2883, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8038, predictive_accuracy: 0.8045, prior_entropy: 0.9835, recall: 0.8045, relative_absolute_error: 0.59, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3713, root_relative_squared_error: 0.7512, scimark_benchmark: 1848.916, usercpu_time_millis: 239.683, usercpu_time_millis_testing: 12.743, usercpu_time_millis_training: 226.94,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9186, f_measure: 0.8355, kappa: 0.6626, kb_relative_information_score: 23552.2005, mean_absolute_error: 0.2481, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8355, predictive_accuracy: 0.836, prior_entropy: 0.9835, recall: 0.836, relative_absolute_error: 0.5078, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3394, root_relative_squared_error: 0.6867, scimark_benchmark: 1853.5818, usercpu_time_millis: 275.272, usercpu_time_millis_testing: 9.646, usercpu_time_millis_training: 265.626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8904, f_measure: 0.8056, kappa: 0.5999, kb_relative_information_score: 17248.94, mean_absolute_error: 0.3227, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8107, predictive_accuracy: 0.8086, prior_entropy: 0.9835, recall: 0.8086, relative_absolute_error: 0.6604, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3751, root_relative_squared_error: 0.7589, scimark_benchmark: 1845.9141, usercpu_time_millis: 60.591, usercpu_time_millis_testing: 4.171, usercpu_time_millis_training: 56.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: -0.6851, 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: 1852.5406, usercpu_time_millis: 19.39, usercpu_time_millis_testing: 2.571, usercpu_time_millis_training: 16.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, f_measure: 0.9, kappa: 0.7953, kb_relative_information_score: 30223.228, mean_absolute_error: 0.1757, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9, predictive_accuracy: 0.9001, prior_entropy: 0.9835, recall: 0.9001, relative_absolute_error: 0.3595, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2735, root_relative_squared_error: 0.5534, scimark_benchmark: 1846.2342, usercpu_time_millis: 36.289, usercpu_time_millis_testing: 0.788, usercpu_time_millis_training: 35.501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8777, f_measure: 0.7872, kappa: 0.562, kb_relative_information_score: 17418.8032, mean_absolute_error: 0.3185, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7958, predictive_accuracy: 0.7918, prior_entropy: 0.9835, recall: 0.7918, relative_absolute_error: 0.6518, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3805, root_relative_squared_error: 0.7699, scimark_benchmark: 1832.6873, usercpu_time_millis: 62.142, usercpu_time_millis_testing: 3.754, usercpu_time_millis_training: 58.388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9112, f_measure: 0.8281, kappa: 0.6467, kb_relative_information_score: 21372.4156, mean_absolute_error: 0.2751, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8292, predictive_accuracy: 0.8293, prior_entropy: 0.9835, recall: 0.8293, relative_absolute_error: 0.563, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3498, root_relative_squared_error: 0.7076, scimark_benchmark: 1844.3569, usercpu_time_millis: 119.641, usercpu_time_millis_testing: 11.297, usercpu_time_millis_training: 108.344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.825, f_measure: 0.7538, kappa: 0.4947, kb_relative_information_score: 12759.6208, mean_absolute_error: 0.37, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7717, predictive_accuracy: 0.7627, prior_entropy: 0.9835, recall: 0.7627, relative_absolute_error: 0.7572, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4141, root_relative_squared_error: 0.8378, scimark_benchmark: 1847.8034, usercpu_time_millis: 70.435, usercpu_time_millis_testing: 8.612, usercpu_time_millis_training: 61.823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.846, f_measure: 0.7538, kappa: 0.4942, kb_relative_information_score: 15268.6325, mean_absolute_error: 0.3405, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.768, predictive_accuracy: 0.7616, prior_entropy: 0.9835, recall: 0.7616, relative_absolute_error: 0.697, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4034, root_relative_squared_error: 0.8161, scimark_benchmark: 1842.8383, usercpu_time_millis: 103.906, usercpu_time_millis_testing: 7.645, usercpu_time_millis_training: 96.261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8708, f_measure: 0.7799, kappa: 0.5473, kb_relative_information_score: 14793.8118, mean_absolute_error: 0.3491, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7924, predictive_accuracy: 0.7859, prior_entropy: 0.9835, recall: 0.7859, relative_absolute_error: 0.7146, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.7948, scimark_benchmark: 1844.8764, usercpu_time_millis: 102.336, usercpu_time_millis_testing: 9.4, usercpu_time_millis_training: 92.936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8191, f_measure: 0.7537, kappa: 0.4945, kb_relative_information_score: 11917.4463, mean_absolute_error: 0.379, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7711, predictive_accuracy: 0.7625, prior_entropy: 0.9835, recall: 0.7625, relative_absolute_error: 0.7757, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4175, root_relative_squared_error: 0.8447, scimark_benchmark: 1848.7762, usercpu_time_millis: 84.584, usercpu_time_millis_testing: 9.45, usercpu_time_millis_training: 75.134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8428, f_measure: 0.7564, kappa: 0.5002, kb_relative_information_score: 12972.4323, mean_absolute_error: 0.3683, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7749, predictive_accuracy: 0.7653, prior_entropy: 0.9835, recall: 0.7653, relative_absolute_error: 0.7538, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.409, root_relative_squared_error: 0.8276, scimark_benchmark: 1842.772, usercpu_time_millis: 122.963, usercpu_time_millis_testing: 10.448, usercpu_time_millis_training: 112.515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9235, f_measure: 0.8401, kappa: 0.672, kb_relative_information_score: 23517.2429, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8402, predictive_accuracy: 0.8407, prior_entropy: 0.9835, recall: 0.8407, relative_absolute_error: 0.5117, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3355, root_relative_squared_error: 0.6788, scimark_benchmark: 1837.132, usercpu_time_millis: 53.071, usercpu_time_millis_testing: 3.411, usercpu_time_millis_training: 49.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8766, f_measure: 0.8003, kappa: 0.5901, kb_relative_information_score: 19228.0858, mean_absolute_error: 0.2966, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8003, predictive_accuracy: 0.8011, prior_entropy: 0.9835, recall: 0.8011, relative_absolute_error: 0.607, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3753, root_relative_squared_error: 0.7592, scimark_benchmark: 1853.9121, usercpu_time_millis: 36.288, usercpu_time_millis_testing: 1.656, usercpu_time_millis_training: 34.632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8999, f_measure: 0.8158, kappa: 0.6221, kb_relative_information_score: 21897.8761, mean_absolute_error: 0.2658, 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: 0.544, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3564, root_relative_squared_error: 0.7211, scimark_benchmark: 1854.568, usercpu_time_millis: 41.831, usercpu_time_millis_testing: 1.051, usercpu_time_millis_training: 40.78,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8391, f_measure: 0.757, kappa: 0.5018, kb_relative_information_score: 11096.9446, mean_absolute_error: 0.3887, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7778, predictive_accuracy: 0.7665, prior_entropy: 0.9835, recall: 0.7665, relative_absolute_error: 0.7956, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4174, root_relative_squared_error: 0.8445, scimark_benchmark: 1847.8629, usercpu_time_millis: 74.416, usercpu_time_millis_testing: 8.756, usercpu_time_millis_training: 65.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, f_measure: 0.7487, kappa: 0.4842, kb_relative_information_score: 11324.9217, mean_absolute_error: 0.3866, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.766, predictive_accuracy: 0.7577, prior_entropy: 0.9835, recall: 0.7577, relative_absolute_error: 0.7912, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4245, root_relative_squared_error: 0.8587, scimark_benchmark: 1843.2259, usercpu_time_millis: 70.204, usercpu_time_millis_testing: 9.462, usercpu_time_millis_training: 60.742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.847, f_measure: 0.7614, kappa: 0.5094, kb_relative_information_score: 16039.8321, mean_absolute_error: 0.332, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7734, predictive_accuracy: 0.7681, prior_entropy: 0.9835, recall: 0.7681, relative_absolute_error: 0.6795, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3997, root_relative_squared_error: 0.8087, scimark_benchmark: 1840.8272, usercpu_time_millis: 94.16, usercpu_time_millis_testing: 7.619, usercpu_time_millis_training: 86.541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: 0.4, 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: 1940.984, usercpu_time_millis: 45.065, usercpu_time_millis_testing: 8.049, usercpu_time_millis_training: 37.016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8355, f_measure: 0.7556, kappa: 0.4985, kb_relative_information_score: 12130.6791, mean_absolute_error: 0.3773, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.774, predictive_accuracy: 0.7645, prior_entropy: 0.9835, recall: 0.7645, relative_absolute_error: 0.7722, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4139, root_relative_squared_error: 0.8374, scimark_benchmark: 1848.2722, usercpu_time_millis: 75.885, usercpu_time_millis_testing: 6.959, usercpu_time_millis_training: 68.926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9424, f_measure: 0.8617, kappa: 0.7162, kb_relative_information_score: 25554.3865, mean_absolute_error: 0.2284, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8618, predictive_accuracy: 0.8621, prior_entropy: 0.9835, recall: 0.8621, relative_absolute_error: 0.4674, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3143, root_relative_squared_error: 0.6359, scimark_benchmark: 1849.9572, usercpu_time_millis: 59.472, usercpu_time_millis_testing: 2.837, usercpu_time_millis_training: 56.635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8262, f_measure: 0.7489, kappa: 0.4846, kb_relative_information_score: 14380.6999, mean_absolute_error: 0.3504, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7658, predictive_accuracy: 0.7578, prior_entropy: 0.9835, recall: 0.7578, relative_absolute_error: 0.7171, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4134, root_relative_squared_error: 0.8363, scimark_benchmark: 1843.2259, usercpu_time_millis: 113.887, usercpu_time_millis_testing: 12.11, usercpu_time_millis_training: 101.777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8909, f_measure: 0.8077, kappa: 0.6042, kb_relative_information_score: 17273.3384, mean_absolute_error: 0.3225, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8126, predictive_accuracy: 0.8106, prior_entropy: 0.9835, recall: 0.8106, relative_absolute_error: 0.66, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3748, root_relative_squared_error: 0.7582, scimark_benchmark: 1139.3725, usercpu_time_millis: 105.526, usercpu_time_millis_testing: 9.493, usercpu_time_millis_training: 96.033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8581, f_measure: 0.758, kappa: 0.5033, kb_relative_information_score: 15559.7083, mean_absolute_error: 0.3389, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7753, predictive_accuracy: 0.7665, prior_entropy: 0.9835, recall: 0.7665, relative_absolute_error: 0.6935, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3961, root_relative_squared_error: 0.8013, scimark_benchmark: 1843.8403, usercpu_time_millis: 98.518, usercpu_time_millis_testing: 8.104, usercpu_time_millis_training: 90.414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8437, f_measure: 0.7568, kappa: 0.5002, kb_relative_information_score: 15958.7671, mean_absolute_error: 0.332, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7704, predictive_accuracy: 0.7642, prior_entropy: 0.9835, recall: 0.7642, relative_absolute_error: 0.6794, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4027, root_relative_squared_error: 0.8148, scimark_benchmark: 1836.6789, usercpu_time_millis: 42.278, usercpu_time_millis_testing: 2.111, usercpu_time_millis_training: 40.167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8771, f_measure: 0.8007, kappa: 0.5907, kb_relative_information_score: 18969.0713, mean_absolute_error: 0.2995, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8011, predictive_accuracy: 0.8018, prior_entropy: 0.9835, recall: 0.8018, relative_absolute_error: 0.613, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3758, root_relative_squared_error: 0.7603, scimark_benchmark: 1833.1413, usercpu_time_millis: 53.626, usercpu_time_millis_testing: 1.872, usercpu_time_millis_training: 51.754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7978, f_measure: 0.7408, kappa: 0.471, kb_relative_information_score: 6148.0237, mean_absolute_error: 0.4373, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.772, predictive_accuracy: 0.7542, prior_entropy: 0.9835, recall: 0.7542, relative_absolute_error: 0.8951, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4499, root_relative_squared_error: 0.9102, scimark_benchmark: 1837.7222, usercpu_time_millis: 47.84, usercpu_time_millis_testing: 4.173, usercpu_time_millis_training: 43.667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7791, f_measure: 0.7486, kappa: 0.484, kb_relative_information_score: 13202.3291, mean_absolute_error: 0.3657, 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: 0.7485, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4265, root_relative_squared_error: 0.863, scimark_benchmark: 1832.6275, usercpu_time_millis: 73.916, usercpu_time_millis_testing: 5.011, usercpu_time_millis_training: 68.905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8613, f_measure: 0.7709, kappa: 0.5288, kb_relative_information_score: 17082.1615, mean_absolute_error: 0.3209, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7813, predictive_accuracy: 0.7767, prior_entropy: 0.9835, recall: 0.7767, relative_absolute_error: 0.6568, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3892, root_relative_squared_error: 0.7874, scimark_benchmark: 1839.7911, usercpu_time_millis: 98.23, usercpu_time_millis_testing: 6.977, usercpu_time_millis_training: 91.253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9183, f_measure: 0.835, kappa: 0.6611, kb_relative_information_score: 22177.7046, mean_absolute_error: 0.2663, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8357, predictive_accuracy: 0.836, prior_entropy: 0.9835, recall: 0.836, relative_absolute_error: 0.5451, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3427, root_relative_squared_error: 0.6934, scimark_benchmark: 1849.3468, usercpu_time_millis: 44.563, usercpu_time_millis_testing: 2.989, usercpu_time_millis_training: 41.574,

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