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: 0.9784, f_measure: 0.9248, kappa: 0.8461, kb_relative_information_score: 33159.5775, mean_absolute_error: 0.1432, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9248, predictive_accuracy: 0.9248, prior_entropy: 0.9835, recall: 0.9248, relative_absolute_error: 0.293, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2419, root_relative_squared_error: 0.4894, scimark_benchmark: 1843.7091, usercpu_time_millis: 104.724, usercpu_time_millis_testing: 2.883, usercpu_time_millis_training: 101.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8434, f_measure: 0.7549, kappa: 0.4968, kb_relative_information_score: 13848.9975, mean_absolute_error: 0.358, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7707, predictive_accuracy: 0.7632, prior_entropy: 0.9835, recall: 0.7632, relative_absolute_error: 0.7326, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4067, root_relative_squared_error: 0.8227, scimark_benchmark: 1848.2615, usercpu_time_millis: 78.582, usercpu_time_millis_testing: 9.019, usercpu_time_millis_training: 69.563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9413, f_measure: 0.8647, kappa: 0.7228, kb_relative_information_score: 26637.8271, mean_absolute_error: 0.2142, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8647, predictive_accuracy: 0.865, prior_entropy: 0.9835, recall: 0.865, relative_absolute_error: 0.4384, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3122, root_relative_squared_error: 0.6316, scimark_benchmark: 1837.7212, usercpu_time_millis: 87.968, usercpu_time_millis_testing: 2.211, usercpu_time_millis_training: 85.757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9313, f_measure: 0.8482, kappa: 0.6887, kb_relative_information_score: 24470.9934, mean_absolute_error: 0.2394, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8483, predictive_accuracy: 0.8487, prior_entropy: 0.9835, recall: 0.8487, relative_absolute_error: 0.49, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3269, root_relative_squared_error: 0.6614, scimark_benchmark: 1837.1204, usercpu_time_millis: 88.434, usercpu_time_millis_testing: 3.031, usercpu_time_millis_training: 85.403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8713, f_measure: 0.7754, kappa: 0.5382, kb_relative_information_score: 16523.4429, mean_absolute_error: 0.3284, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.788, predictive_accuracy: 0.7817, prior_entropy: 0.9835, recall: 0.7817, relative_absolute_error: 0.6722, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3867, root_relative_squared_error: 0.7823, scimark_benchmark: 1799.2518, usercpu_time_millis: 69.118, usercpu_time_millis_testing: 4.546, usercpu_time_millis_training: 64.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9448, f_measure: 0.8658, kappa: 0.7248, kb_relative_information_score: 26122.1505, mean_absolute_error: 0.2217, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8659, predictive_accuracy: 0.8662, prior_entropy: 0.9835, recall: 0.8662, relative_absolute_error: 0.4538, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3104, root_relative_squared_error: 0.6279, scimark_benchmark: 1851.5144, usercpu_time_millis: 45.894, usercpu_time_millis_testing: 1.68, usercpu_time_millis_training: 44.214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8934, f_measure: 0.8148, kappa: 0.62, kb_relative_information_score: 20859.087, mean_absolute_error: 0.2783, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8147, predictive_accuracy: 0.8153, prior_entropy: 0.9835, recall: 0.8153, relative_absolute_error: 0.5697, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3623, root_relative_squared_error: 0.7329, scimark_benchmark: 1853.454, usercpu_time_millis: 59.71, usercpu_time_millis_testing: 2.171, usercpu_time_millis_training: 57.539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: -1.0526, 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: 1852.9988, usercpu_time_millis: 92.085, usercpu_time_millis_testing: 8.21, usercpu_time_millis_training: 83.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9618, f_measure: 0.894, kappa: 0.7828, kb_relative_information_score: 28997.4201, mean_absolute_error: 0.1902, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.894, predictive_accuracy: 0.8941, prior_entropy: 0.9835, recall: 0.8941, relative_absolute_error: 0.3893, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2828, root_relative_squared_error: 0.5722, scimark_benchmark: 1852.9259, usercpu_time_millis: 71.412, usercpu_time_millis_testing: 2.153, usercpu_time_millis_training: 69.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8225, f_measure: 0.7513, kappa: 0.4907, kb_relative_information_score: 9283.6706, mean_absolute_error: 0.4072, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7748, predictive_accuracy: 0.7619, prior_entropy: 0.9835, recall: 0.7619, relative_absolute_error: 0.8334, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4291, root_relative_squared_error: 0.8682, scimark_benchmark: 1850.3683, usercpu_time_millis: 58.352, usercpu_time_millis_testing: 5.034, usercpu_time_millis_training: 53.318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.96, f_measure: 0.8911, kappa: 0.7769, kb_relative_information_score: 28120.8036, mean_absolute_error: 0.2011, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8911, predictive_accuracy: 0.8913, prior_entropy: 0.9835, recall: 0.8913, relative_absolute_error: 0.4115, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2881, root_relative_squared_error: 0.5828, scimark_benchmark: 1848.7925, usercpu_time_millis: 65.964, usercpu_time_millis_testing: 3.773, usercpu_time_millis_training: 62.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.8967, kappa: 0.7885, kb_relative_information_score: 28919.5852, mean_absolute_error: 0.1919, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8967, predictive_accuracy: 0.8968, prior_entropy: 0.9835, recall: 0.8968, relative_absolute_error: 0.3927, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2813, root_relative_squared_error: 0.5692, scimark_benchmark: 1852.9988, usercpu_time_millis: 86.488, usercpu_time_millis_testing: 4.68, usercpu_time_millis_training: 81.808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.909, f_measure: 0.8248, kappa: 0.6403, kb_relative_information_score: 22345.7791, mean_absolute_error: 0.2619, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8248, predictive_accuracy: 0.8254, prior_entropy: 0.9835, recall: 0.8254, relative_absolute_error: 0.5359, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3489, root_relative_squared_error: 0.7059, scimark_benchmark: 1852.9259, usercpu_time_millis: 59.523, usercpu_time_millis_testing: 2.014, usercpu_time_millis_training: 57.509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.848, f_measure: 0.761, kappa: 0.5087, kb_relative_information_score: 16055.1011, mean_absolute_error: 0.3319, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7735, predictive_accuracy: 0.7679, prior_entropy: 0.9835, recall: 0.7679, relative_absolute_error: 0.6793, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3993, root_relative_squared_error: 0.8079, scimark_benchmark: 1855.4813, usercpu_time_millis: 47.304, usercpu_time_millis_testing: 4.168, usercpu_time_millis_training: 43.136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8526, f_measure: 0.7576, kappa: 0.5026, kb_relative_information_score: 13958.0364, mean_absolute_error: 0.3575, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7761, predictive_accuracy: 0.7664, prior_entropy: 0.9835, recall: 0.7664, relative_absolute_error: 0.7316, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4031, root_relative_squared_error: 0.8155, scimark_benchmark: 1819.5286, usercpu_time_millis: 70.14, usercpu_time_millis_testing: 8.953, usercpu_time_millis_training: 61.187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8335, f_measure: 0.7486, kappa: 0.484, kb_relative_information_score: 15844.5553, mean_absolute_error: 0.3322, 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: 0.6799, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4053, root_relative_squared_error: 0.8199, scimark_benchmark: 1833.5359, usercpu_time_millis: 96.799, usercpu_time_millis_testing: 6.357, usercpu_time_millis_training: 90.442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: -1.4995, 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: 1801.0166, usercpu_time_millis: 81.627, usercpu_time_millis_testing: 7.957, usercpu_time_millis_training: 73.67,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8894, f_measure: 0.8126, kappa: 0.6152, kb_relative_information_score: 20147.4996, mean_absolute_error: 0.2866, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.813, predictive_accuracy: 0.8136, prior_entropy: 0.9835, recall: 0.8136, relative_absolute_error: 0.5865, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3661, root_relative_squared_error: 0.7408, scimark_benchmark: 1849.8177, usercpu_time_millis: 47.768, usercpu_time_millis_testing: 3.374, usercpu_time_millis_training: 44.394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8792, f_measure: 0.8013, kappa: 0.5923, kb_relative_information_score: 19889.7446, mean_absolute_error: 0.2888, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8013, predictive_accuracy: 0.802, prior_entropy: 0.9835, recall: 0.802, relative_absolute_error: 0.5911, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3727, root_relative_squared_error: 0.7541, scimark_benchmark: 1055.7136, usercpu_time_millis: 27.718, usercpu_time_millis_testing: 0.756, usercpu_time_millis_training: 26.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9486, f_measure: 0.8745, kappa: 0.7428, kb_relative_information_score: 26616.8856, mean_absolute_error: 0.2169, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8745, predictive_accuracy: 0.8748, prior_entropy: 0.9835, recall: 0.8748, relative_absolute_error: 0.4439, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3048, root_relative_squared_error: 0.6167, scimark_benchmark: 1853.3841, usercpu_time_millis: 41.604, usercpu_time_millis_testing: 2.066, usercpu_time_millis_training: 39.538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8974, f_measure: 0.8171, kappa: 0.6245, kb_relative_information_score: 20997.4847, mean_absolute_error: 0.2771, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8173, predictive_accuracy: 0.8179, prior_entropy: 0.9835, recall: 0.8179, relative_absolute_error: 0.5672, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3595, root_relative_squared_error: 0.7272, scimark_benchmark: 1821.4764, usercpu_time_millis: 75.792, usercpu_time_millis_testing: 3.349, usercpu_time_millis_training: 72.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.939, f_measure: 0.8569, kappa: 0.7064, kb_relative_information_score: 24606.4468, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8571, predictive_accuracy: 0.8574, prior_entropy: 0.9835, recall: 0.8574, relative_absolute_error: 0.4912, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.32, root_relative_squared_error: 0.6475, scimark_benchmark: 1848.388, usercpu_time_millis: 65.9, usercpu_time_millis_testing: 2.936, usercpu_time_millis_training: 62.964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8705, f_measure: 0.7938, kappa: 0.5762, kb_relative_information_score: 18484.2049, mean_absolute_error: 0.3048, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7946, predictive_accuracy: 0.7953, prior_entropy: 0.9835, recall: 0.7953, relative_absolute_error: 0.6238, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3801, root_relative_squared_error: 0.769, scimark_benchmark: 1850.8706, usercpu_time_millis: 46.958, usercpu_time_millis_testing: 3.518, usercpu_time_millis_training: 43.44,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.4204, kb_relative_information_score: -0.7197, 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: 1838.1471, usercpu_time_millis: 51.905, usercpu_time_millis_testing: 8.991, usercpu_time_millis_training: 42.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9305, f_measure: 0.848, kappa: 0.6879, kb_relative_information_score: 23647.2836, mean_absolute_error: 0.2502, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8484, predictive_accuracy: 0.8487, prior_entropy: 0.9835, recall: 0.8487, relative_absolute_error: 0.5122, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3297, root_relative_squared_error: 0.667, scimark_benchmark: 1849.8294, usercpu_time_millis: 22.955, usercpu_time_millis_testing: 0.939, usercpu_time_millis_training: 22.016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: -0.9178, 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: 1810.3793, usercpu_time_millis: 57.877, usercpu_time_millis_testing: 4.656, usercpu_time_millis_training: 53.221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7921, f_measure: 0.7491, kappa: 0.4862, kb_relative_information_score: 7473.9273, mean_absolute_error: 0.4247, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7727, predictive_accuracy: 0.7599, prior_entropy: 0.9835, recall: 0.7599, relative_absolute_error: 0.8692, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4412, root_relative_squared_error: 0.8927, scimark_benchmark: 1859.1356, usercpu_time_millis: 44.279, usercpu_time_millis_testing: 5.673, usercpu_time_millis_training: 38.606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7907, f_measure: 0.7507, kappa: 0.4892, kb_relative_information_score: 8380.8835, mean_absolute_error: 0.4163, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7731, predictive_accuracy: 0.761, prior_entropy: 0.9835, recall: 0.761, relative_absolute_error: 0.8521, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4363, root_relative_squared_error: 0.8828, scimark_benchmark: 1836.6101, usercpu_time_millis: 63.057, usercpu_time_millis_testing: 4.974, usercpu_time_millis_training: 58.083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8489, f_measure: 0.7572, kappa: 0.5017, kb_relative_information_score: 13597.0018, mean_absolute_error: 0.3615, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7752, predictive_accuracy: 0.7659, prior_entropy: 0.9835, recall: 0.7659, relative_absolute_error: 0.7398, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4056, root_relative_squared_error: 0.8206, scimark_benchmark: 1814.613, usercpu_time_millis: 54.873, usercpu_time_millis_testing: 4.759, usercpu_time_millis_training: 50.114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.9186, kappa: 0.8333, kb_relative_information_score: 33077.4076, mean_absolute_error: 0.1426, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9186, predictive_accuracy: 0.9186, prior_entropy: 0.9835, recall: 0.9186, relative_absolute_error: 0.2918, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2489, root_relative_squared_error: 0.5036, scimark_benchmark: 1854.9533, usercpu_time_millis: 37.255, usercpu_time_millis_testing: 0.972, usercpu_time_millis_training: 36.283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0361, 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: 1820.5148, usercpu_time_millis: 52.493, usercpu_time_millis_testing: 7.579, usercpu_time_millis_training: 44.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8848, f_measure: 0.8095, kappa: 0.6084, kb_relative_information_score: 19404.2972, mean_absolute_error: 0.295, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8108, predictive_accuracy: 0.8111, prior_entropy: 0.9835, recall: 0.8111, relative_absolute_error: 0.6038, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3707, root_relative_squared_error: 0.75, scimark_benchmark: 1855.0232, usercpu_time_millis: 18.744, usercpu_time_millis_testing: 1.003, usercpu_time_millis_training: 17.741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: -3.2691, 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: 1060.2821, usercpu_time_millis: 12.106, usercpu_time_millis_testing: 1.274, usercpu_time_millis_training: 10.832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9087, f_measure: 0.8255, kappa: 0.6418, kb_relative_information_score: 22221.9756, mean_absolute_error: 0.2635, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8257, predictive_accuracy: 0.8262, prior_entropy: 0.9835, recall: 0.8262, relative_absolute_error: 0.5392, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3494, root_relative_squared_error: 0.7069, scimark_benchmark: 1842.2127, usercpu_time_millis: 74.845, usercpu_time_millis_testing: 2.569, usercpu_time_millis_training: 72.276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.4204, kb_relative_information_score: -0.3814, 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: 1798.7238, usercpu_time_millis: 43.011, usercpu_time_millis_testing: 7.313, usercpu_time_millis_training: 35.698,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.847, f_measure: 0.7526, kappa: 0.492, kb_relative_information_score: 15410.3791, mean_absolute_error: 0.3384, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7688, predictive_accuracy: 0.7611, prior_entropy: 0.9835, recall: 0.7611, relative_absolute_error: 0.6925, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4042, root_relative_squared_error: 0.8177, scimark_benchmark: 1849.3014, usercpu_time_millis: 44.426, usercpu_time_millis_testing: 4.845, usercpu_time_millis_training: 39.581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.849, f_measure: 0.77, kappa: 0.5267, kb_relative_information_score: 17482.0166, mean_absolute_error: 0.3143, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7763, predictive_accuracy: 0.7745, prior_entropy: 0.9835, recall: 0.7745, relative_absolute_error: 0.6432, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3937, root_relative_squared_error: 0.7964, scimark_benchmark: 1856.0123, usercpu_time_millis: 8.348, usercpu_time_millis_testing: 0.351, usercpu_time_millis_training: 7.997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8689, f_measure: 0.7811, kappa: 0.5498, kb_relative_information_score: 15241.8972, mean_absolute_error: 0.3435, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7923, predictive_accuracy: 0.7867, prior_entropy: 0.9835, recall: 0.7867, relative_absolute_error: 0.703, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3913, root_relative_squared_error: 0.7917, scimark_benchmark: 1841.1522, usercpu_time_millis: 2.63, usercpu_time_millis_testing: 0.183, usercpu_time_millis_training: 2.447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: -0.1361, 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: 1857.2361, usercpu_time_millis: 7.351, usercpu_time_millis_testing: 1.03, usercpu_time_millis_training: 6.321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9228, f_measure: 0.8477, kappa: 0.6875, kb_relative_information_score: 22128.2198, mean_absolute_error: 0.269, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8479, predictive_accuracy: 0.8483, prior_entropy: 0.9835, recall: 0.8483, relative_absolute_error: 0.5505, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3394, root_relative_squared_error: 0.6866, scimark_benchmark: 1849.8294, usercpu_time_millis: 3.756, usercpu_time_millis_testing: 0.277, usercpu_time_millis_training: 3.479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8688, f_measure: 0.7859, kappa: 0.5594, kb_relative_information_score: 17959.7022, mean_absolute_error: 0.3109, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7908, predictive_accuracy: 0.7894, prior_entropy: 0.9835, recall: 0.7894, relative_absolute_error: 0.6363, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3827, root_relative_squared_error: 0.7742, scimark_benchmark: 1842.6887, usercpu_time_millis: 36.563, usercpu_time_millis_testing: 2.662, usercpu_time_millis_training: 33.901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.864, f_measure: 0.784, kappa: 0.5555, kb_relative_information_score: 17955.1974, mean_absolute_error: 0.3103, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.788, predictive_accuracy: 0.7872, prior_entropy: 0.9835, recall: 0.7872, relative_absolute_error: 0.635, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3847, root_relative_squared_error: 0.7784, scimark_benchmark: 1853.9121, usercpu_time_millis: 1.353, usercpu_time_millis_testing: 0.103, usercpu_time_millis_training: 1.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9526, f_measure: 0.8817, kappa: 0.7576, kb_relative_information_score: 27910.9355, mean_absolute_error: 0.2014, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8817, predictive_accuracy: 0.8818, prior_entropy: 0.9835, recall: 0.8818, relative_absolute_error: 0.4123, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2966, root_relative_squared_error: 0.6001, scimark_benchmark: 1830.5308, usercpu_time_millis: 14.574, usercpu_time_millis_testing: 0.51, usercpu_time_millis_training: 14.064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9376, f_measure: 0.8572, kappa: 0.707, kb_relative_information_score: 25350.9043, mean_absolute_error: 0.2299, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8572, predictive_accuracy: 0.8575, prior_entropy: 0.9835, recall: 0.8575, relative_absolute_error: 0.4706, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.319, root_relative_squared_error: 0.6453, scimark_benchmark: 1832.5979, usercpu_time_millis: 13.944, usercpu_time_millis_testing: 0.561, usercpu_time_millis_training: 13.383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8315, f_measure: 0.752, kappa: 0.4905, kb_relative_information_score: 15098.594, mean_absolute_error: 0.3413, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7657, predictive_accuracy: 0.7597, prior_entropy: 0.9835, recall: 0.7597, relative_absolute_error: 0.6986, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4083, root_relative_squared_error: 0.8262, scimark_benchmark: 1821.405, usercpu_time_millis: 12.371, usercpu_time_millis_testing: 0.621, usercpu_time_millis_training: 11.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: -1.0478, 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: 1847.8629, usercpu_time_millis: 9.652, usercpu_time_millis_testing: 0.673, usercpu_time_millis_training: 8.979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: -3.5252, 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: 1854.6408, usercpu_time_millis: 1.904, usercpu_time_millis_testing: 0.171, usercpu_time_millis_training: 1.733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: -0.0007, 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: 1843.1261, usercpu_time_millis: 22.975, usercpu_time_millis_testing: 3.84, usercpu_time_millis_training: 19.135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8826, f_measure: 0.8044, kappa: 0.5985, kb_relative_information_score: 19981.1003, mean_absolute_error: 0.2879, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8044, predictive_accuracy: 0.8051, prior_entropy: 0.9835, recall: 0.8051, relative_absolute_error: 0.5892, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3704, root_relative_squared_error: 0.7494, scimark_benchmark: 1847.3406, usercpu_time_millis: 4.249, usercpu_time_millis_testing: 0.218, usercpu_time_millis_training: 4.031,
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: 0.8555, f_measure: 0.7643, kappa: 0.5162, kb_relative_information_score: 13220.1633, mean_absolute_error: 0.366, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.782, predictive_accuracy: 0.7726, prior_entropy: 0.9835, recall: 0.7726, relative_absolute_error: 0.7491, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4039, root_relative_squared_error: 0.8172, scimark_benchmark: 1823.944, usercpu_time_millis: 9.353, usercpu_time_millis_testing: 0.566, usercpu_time_millis_training: 8.787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8865, f_measure: 0.8058, kappa: 0.6003, kb_relative_information_score: 17495.6984, mean_absolute_error: 0.3191, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.81, predictive_accuracy: 0.8086, prior_entropy: 0.9835, recall: 0.8086, relative_absolute_error: 0.6531, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3754, root_relative_squared_error: 0.7594, scimark_benchmark: 1842.3843, usercpu_time_millis: 3.012, usercpu_time_millis_testing: 0.197, usercpu_time_millis_training: 2.815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8187, f_measure: 0.7497, kappa: 0.4862, kb_relative_information_score: 14055.2822, mean_absolute_error: 0.3545, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7663, predictive_accuracy: 0.7585, prior_entropy: 0.9835, recall: 0.7585, relative_absolute_error: 0.7256, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4138, root_relative_squared_error: 0.8372, scimark_benchmark: 1835.621, usercpu_time_millis: 4.419, usercpu_time_millis_testing: 0.321, usercpu_time_millis_training: 4.098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9099, f_measure: 0.8256, kappa: 0.642, kb_relative_information_score: 23159.3147, mean_absolute_error: 0.2511, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8257, predictive_accuracy: 0.8262, prior_entropy: 0.9835, recall: 0.8262, relative_absolute_error: 0.5139, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.347, root_relative_squared_error: 0.7021, scimark_benchmark: 1825.7178, usercpu_time_millis: 602.727, usercpu_time_millis_testing: 22.546, usercpu_time_millis_training: 580.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9067, f_measure: 0.822, kappa: 0.6346, kb_relative_information_score: 21977.3733, mean_absolute_error: 0.2662, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8222, predictive_accuracy: 0.8227, prior_entropy: 0.9835, recall: 0.8227, relative_absolute_error: 0.5447, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3513, root_relative_squared_error: 0.7108, scimark_benchmark: 1853.9849, usercpu_time_millis: 458.95, usercpu_time_millis_testing: 25.528, usercpu_time_millis_training: 433.422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9091, f_measure: 0.8248, kappa: 0.6403, kb_relative_information_score: 21935.0551, mean_absolute_error: 0.2672, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8251, predictive_accuracy: 0.8256, prior_entropy: 0.9835, recall: 0.8256, relative_absolute_error: 0.5469, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3498, root_relative_squared_error: 0.7077, scimark_benchmark: 1853.9121, usercpu_time_millis: 435.172, usercpu_time_millis_testing: 27.806, usercpu_time_millis_training: 407.366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8979, f_measure: 0.8169, kappa: 0.6241, kb_relative_information_score: 21073.5998, mean_absolute_error: 0.2763, 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: 0.5655, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.359, root_relative_squared_error: 0.7263, scimark_benchmark: 1792.094, usercpu_time_millis: 437.698, usercpu_time_millis_testing: 21.287, usercpu_time_millis_training: 416.411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9062, f_measure: 0.8239, kappa: 0.638, kb_relative_information_score: 20779.9005, mean_absolute_error: 0.2815, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8253, predictive_accuracy: 0.8253, prior_entropy: 0.9835, recall: 0.8253, relative_absolute_error: 0.5762, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3547, root_relative_squared_error: 0.7175, scimark_benchmark: 1849.8294, usercpu_time_millis: 374.397, usercpu_time_millis_testing: 28.354, usercpu_time_millis_training: 346.043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9225, f_measure: 0.8383, kappa: 0.6678, kb_relative_information_score: 22615.8859, mean_absolute_error: 0.2616, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8389, predictive_accuracy: 0.8391, prior_entropy: 0.9835, recall: 0.8391, relative_absolute_error: 0.5353, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3387, root_relative_squared_error: 0.6851, scimark_benchmark: 1842.772, usercpu_time_millis: 290.795, usercpu_time_millis_testing: 19.202, usercpu_time_millis_training: 271.593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8954, f_measure: 0.8136, kappa: 0.6163, kb_relative_information_score: 17783.7716, mean_absolute_error: 0.317, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8174, predictive_accuracy: 0.8161, prior_entropy: 0.9835, recall: 0.8161, relative_absolute_error: 0.6487, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3708, root_relative_squared_error: 0.7502, scimark_benchmark: 1846.6923, usercpu_time_millis: 333.773, usercpu_time_millis_testing: 27.648, usercpu_time_millis_training: 306.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9233, f_measure: 0.8424, kappa: 0.6768, kb_relative_information_score: 24180.0772, mean_absolute_error: 0.2411, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8423, predictive_accuracy: 0.8427, prior_entropy: 0.9835, recall: 0.8427, relative_absolute_error: 0.4935, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3343, root_relative_squared_error: 0.6764, scimark_benchmark: 1808.2634, usercpu_time_millis: 324.02, usercpu_time_millis_testing: 11.775, usercpu_time_millis_training: 312.245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.898, f_measure: 0.8172, kappa: 0.6251, kb_relative_information_score: 21478.248, mean_absolute_error: 0.2711, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8171, predictive_accuracy: 0.8177, prior_entropy: 0.9835, recall: 0.8177, relative_absolute_error: 0.5548, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3583, root_relative_squared_error: 0.7249, scimark_benchmark: 1855.0232, usercpu_time_millis: 299.078, usercpu_time_millis_testing: 12.46, usercpu_time_millis_training: 286.618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.889, f_measure: 0.8122, kappa: 0.6147, kb_relative_information_score: 20267.6127, mean_absolute_error: 0.2852, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8123, predictive_accuracy: 0.8129, prior_entropy: 0.9835, recall: 0.8129, relative_absolute_error: 0.5836, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.366, root_relative_squared_error: 0.7405, scimark_benchmark: 1849.3014, usercpu_time_millis: 295.989, usercpu_time_millis_testing: 15.698, usercpu_time_millis_training: 280.291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9153, f_measure: 0.831, kappa: 0.6529, kb_relative_information_score: 22587.9395, mean_absolute_error: 0.2601, 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: 0.5323, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3439, root_relative_squared_error: 0.6958, scimark_benchmark: 1846.89, usercpu_time_millis: 279.935, usercpu_time_millis_testing: 18.438, usercpu_time_millis_training: 261.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8724, f_measure: 0.7819, kappa: 0.5513, kb_relative_information_score: 15058.2499, mean_absolute_error: 0.3462, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7937, predictive_accuracy: 0.7876, prior_entropy: 0.9835, recall: 0.7876, relative_absolute_error: 0.7086, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3911, root_relative_squared_error: 0.7913, scimark_benchmark: 1826.8494, usercpu_time_millis: 271.133, usercpu_time_millis_testing: 21.676, usercpu_time_millis_training: 249.457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8437, f_measure: 0.77, kappa: 0.5265, kb_relative_information_score: 17061.9971, mean_absolute_error: 0.3191, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.776, predictive_accuracy: 0.7743, prior_entropy: 0.9835, recall: 0.7743, relative_absolute_error: 0.6531, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3958, root_relative_squared_error: 0.8007, scimark_benchmark: 1850.3603, usercpu_time_millis: 258.914, usercpu_time_millis_testing: 13.109, usercpu_time_millis_training: 245.805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.875, f_measure: 0.7994, kappa: 0.5886, kb_relative_information_score: 19327.7891, mean_absolute_error: 0.2955, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7993, predictive_accuracy: 0.7999, prior_entropy: 0.9835, recall: 0.7999, relative_absolute_error: 0.6048, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3759, root_relative_squared_error: 0.7604, scimark_benchmark: 1851.3986, usercpu_time_millis: 259.598, usercpu_time_millis_testing: 14.434, usercpu_time_millis_training: 245.164,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs