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: 0.5, f_measure: 0.4204, kb_relative_information_score: 0.8894, 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: 22.255, usercpu_time_millis_testing: 1.124, usercpu_time_millis_training: 21.131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8491, f_measure: 0.7549, kappa: 0.4964, kb_relative_information_score: 15320.4723, mean_absolute_error: 0.3409, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7686, predictive_accuracy: 0.7625, prior_entropy: 0.9835, recall: 0.7625, relative_absolute_error: 0.6977, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4007, root_relative_squared_error: 0.8106, scimark_benchmark: 1846.2342, usercpu_time_millis: 48.439, usercpu_time_millis_testing: 3.216, usercpu_time_millis_training: 45.223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7915, f_measure: 0.7471, kappa: 0.4826, kb_relative_information_score: 7340.3142, mean_absolute_error: 0.4258, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7725, predictive_accuracy: 0.7585, prior_entropy: 0.9835, recall: 0.7585, relative_absolute_error: 0.8714, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4422, root_relative_squared_error: 0.8946, scimark_benchmark: 1843.7637, usercpu_time_millis: 5.312, usercpu_time_millis_testing: 0.437, usercpu_time_millis_training: 4.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: -0.6874, 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: 1848.321, usercpu_time_millis: 36.434, usercpu_time_millis_testing: 6.254, usercpu_time_millis_training: 30.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8573, f_measure: 0.7815, kappa: 0.5504, kb_relative_information_score: 17770.1453, mean_absolute_error: 0.3126, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7854, predictive_accuracy: 0.7847, prior_entropy: 0.9835, recall: 0.7847, relative_absolute_error: 0.6399, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.388, root_relative_squared_error: 0.7849, scimark_benchmark: 1844.3569, usercpu_time_millis: 6.666, usercpu_time_millis_testing: 0.272, usercpu_time_millis_training: 6.394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.84, f_measure: 0.7555, kappa: 0.4979, kb_relative_information_score: 13573.4437, mean_absolute_error: 0.361, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7715, predictive_accuracy: 0.7637, prior_entropy: 0.9835, recall: 0.7637, relative_absolute_error: 0.7388, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4085, root_relative_squared_error: 0.8264, scimark_benchmark: 1847.3482, usercpu_time_millis: 36.239, usercpu_time_millis_testing: 2.348, usercpu_time_millis_training: 33.891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8609, f_measure: 0.7698, kappa: 0.5272, kb_relative_information_score: 13913.5776, mean_absolute_error: 0.3584, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7856, predictive_accuracy: 0.7773, prior_entropy: 0.9835, recall: 0.7773, relative_absolute_error: 0.7336, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3995, root_relative_squared_error: 0.8083, scimark_benchmark: 1842.2554, usercpu_time_millis: 6.27, usercpu_time_millis_testing: 0.505, usercpu_time_millis_training: 5.765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: 0.0772, 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: 1851.7105, usercpu_time_millis: 34.558, usercpu_time_millis_testing: 5.903, usercpu_time_millis_training: 28.655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8351, f_measure: 0.7548, kappa: 0.4976, kb_relative_information_score: 10630.3802, mean_absolute_error: 0.3936, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.777, predictive_accuracy: 0.7648, prior_entropy: 0.9835, recall: 0.7648, relative_absolute_error: 0.8056, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4204, root_relative_squared_error: 0.8505, scimark_benchmark: 1835.9581, usercpu_time_millis: 29.926, usercpu_time_millis_testing: 3.317, usercpu_time_millis_training: 26.609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.924, f_measure: 0.8421, kappa: 0.6758, kb_relative_information_score: 23358.6652, mean_absolute_error: 0.2523, 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: 0.5164, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3354, root_relative_squared_error: 0.6786, scimark_benchmark: 1848.321, usercpu_time_millis: 21.621, usercpu_time_millis_testing: 1.637, usercpu_time_millis_training: 19.984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: 0.4359, 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: 1848.388, usercpu_time_millis: 48.69, usercpu_time_millis_testing: 8.824, usercpu_time_millis_training: 39.866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.4204, kb_relative_information_score: 1.1219, 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: 1850.8706, usercpu_time_millis: 16.775, usercpu_time_millis_testing: 2.268, usercpu_time_millis_training: 14.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: -0.0397, 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: 1847.3589, usercpu_time_millis: 25.724, usercpu_time_millis_testing: 6.983, usercpu_time_millis_training: 18.741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9636, f_measure: 0.8974, kappa: 0.7899, kb_relative_information_score: 30185.9667, mean_absolute_error: 0.1756, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8974, predictive_accuracy: 0.8974, prior_entropy: 0.9835, recall: 0.8974, relative_absolute_error: 0.3593, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2763, root_relative_squared_error: 0.559, scimark_benchmark: 1859.1356, usercpu_time_millis: 43.183, usercpu_time_millis_testing: 1.075, usercpu_time_millis_training: 42.108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: -6.4727, 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: 1.0001, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1839.0835, usercpu_time_millis: 2.387, usercpu_time_millis_testing: 0.142, usercpu_time_millis_training: 2.245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.94, f_measure: 0.8632, kappa: 0.7196, kb_relative_information_score: 26401.856, mean_absolute_error: 0.217, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8632, predictive_accuracy: 0.8635, prior_entropy: 0.9835, recall: 0.8635, relative_absolute_error: 0.444, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3141, root_relative_squared_error: 0.6354, scimark_benchmark: 1846.6923, usercpu_time_millis: 21.164, usercpu_time_millis_testing: 0.496, usercpu_time_millis_training: 20.668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.956, f_measure: 0.8866, kappa: 0.7677, kb_relative_information_score: 28321.7016, mean_absolute_error: 0.197, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8866, predictive_accuracy: 0.8868, prior_entropy: 0.9835, recall: 0.8868, relative_absolute_error: 0.4031, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2919, root_relative_squared_error: 0.5906, scimark_benchmark: 1847.7335, usercpu_time_millis: 24.298, usercpu_time_millis_testing: 0.581, usercpu_time_millis_training: 23.717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8682, f_measure: 0.7934, kappa: 0.5761, kb_relative_information_score: 18614.769, mean_absolute_error: 0.3033, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7933, predictive_accuracy: 0.794, prior_entropy: 0.9835, recall: 0.794, relative_absolute_error: 0.6206, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.7702, scimark_benchmark: 1847.7335, usercpu_time_millis: 26.178, usercpu_time_millis_testing: 0.93, usercpu_time_millis_training: 25.248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8959, f_measure: 0.8134, kappa: 0.6159, kb_relative_information_score: 17972.2975, mean_absolute_error: 0.3148, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8172, predictive_accuracy: 0.8159, prior_entropy: 0.9835, recall: 0.8159, relative_absolute_error: 0.6442, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3698, root_relative_squared_error: 0.7482, scimark_benchmark: 1855.0989, usercpu_time_millis: 14.209, usercpu_time_millis_testing: 0.733, usercpu_time_millis_training: 13.476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: 0.4714, 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: 1852.9259, usercpu_time_millis: 27.218, usercpu_time_millis_testing: 4.63, usercpu_time_millis_training: 22.588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8029, f_measure: 0.7532, kappa: 0.4936, kb_relative_information_score: 11185.8381, mean_absolute_error: 0.3876, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7718, predictive_accuracy: 0.7623, prior_entropy: 0.9835, recall: 0.7623, relative_absolute_error: 0.7933, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4221, root_relative_squared_error: 0.854, scimark_benchmark: 1848.8462, usercpu_time_millis: 9.03, usercpu_time_millis_testing: 0.667, usercpu_time_millis_training: 8.363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.884, f_measure: 0.8075, kappa: 0.6045, kb_relative_information_score: 19625.8027, mean_absolute_error: 0.2923, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.808, predictive_accuracy: 0.8086, prior_entropy: 0.9835, recall: 0.8086, relative_absolute_error: 0.5982, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3704, root_relative_squared_error: 0.7494, scimark_benchmark: 1847.8629, usercpu_time_millis: 29.149, usercpu_time_millis_testing: 1.417, usercpu_time_millis_training: 27.732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: -0.3776, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1853.3841, usercpu_time_millis: 10.363, usercpu_time_millis_testing: 1.234, usercpu_time_millis_training: 9.129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: 1.1452, 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: 1841.2265, usercpu_time_millis: 13.298, usercpu_time_millis_testing: 1.756, usercpu_time_millis_training: 11.542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8165, f_measure: 0.7543, kappa: 0.4963, kb_relative_information_score: 10835.4608, mean_absolute_error: 0.3909, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7746, predictive_accuracy: 0.7639, prior_entropy: 0.9835, recall: 0.7639, relative_absolute_error: 0.7999, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4216, root_relative_squared_error: 0.853, scimark_benchmark: 1847.2381, usercpu_time_millis: 22.449, usercpu_time_millis_testing: 2.313, usercpu_time_millis_training: 20.136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8339, f_measure: 0.7486, kappa: 0.484, kb_relative_information_score: 15937.5883, mean_absolute_error: 0.3315, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7652, predictive_accuracy: 0.7574, prior_entropy: 0.9835, recall: 0.7574, relative_absolute_error: 0.6784, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.404, root_relative_squared_error: 0.8174, scimark_benchmark: 1849.2344, usercpu_time_millis: 19.325, usercpu_time_millis_testing: 1.101, usercpu_time_millis_training: 18.224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8282, f_measure: 0.7489, kappa: 0.4846, kb_relative_information_score: 14642.6348, mean_absolute_error: 0.3474, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7652, predictive_accuracy: 0.7576, prior_entropy: 0.9835, recall: 0.7576, relative_absolute_error: 0.711, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4112, root_relative_squared_error: 0.8319, scimark_benchmark: 1850.2875, usercpu_time_millis: 9.747, usercpu_time_millis_testing: 0.506, usercpu_time_millis_training: 9.241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.8584, kappa: 0.7096, kb_relative_information_score: 22760.5017, mean_absolute_error: 0.2631, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8584, predictive_accuracy: 0.8587, prior_entropy: 0.9835, recall: 0.8587, relative_absolute_error: 0.5384, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3304, root_relative_squared_error: 0.6685, scimark_benchmark: 1848.388, usercpu_time_millis: 6.934, usercpu_time_millis_testing: 0.478, usercpu_time_millis_training: 6.456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.927, f_measure: 0.8557, kappa: 0.7068, kb_relative_information_score: 27303.518, mean_absolute_error: 0.2029, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8589, predictive_accuracy: 0.855, prior_entropy: 0.9835, recall: 0.855, relative_absolute_error: 0.4153, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.322, root_relative_squared_error: 0.6515, scimark_benchmark: 1853.454, usercpu_time_millis: 2.893, usercpu_time_millis_testing: 0.16, usercpu_time_millis_training: 2.733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9589, f_measure: 0.8877, kappa: 0.7699, kb_relative_information_score: 28025.1982, mean_absolute_error: 0.2023, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8877, predictive_accuracy: 0.8879, prior_entropy: 0.9835, recall: 0.8879, relative_absolute_error: 0.4141, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2888, root_relative_squared_error: 0.5843, scimark_benchmark: 1856.5802, usercpu_time_millis: 17.463, usercpu_time_millis_testing: 1.089, usercpu_time_millis_training: 16.374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.842, f_measure: 0.7514, kappa: 0.4896, kb_relative_information_score: 15255.3457, mean_absolute_error: 0.3398, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7673, predictive_accuracy: 0.7599, prior_entropy: 0.9835, recall: 0.7599, relative_absolute_error: 0.6955, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8218, scimark_benchmark: 1842.7105, usercpu_time_millis: 20.041, usercpu_time_millis_testing: 1.231, usercpu_time_millis_training: 18.81,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9219, f_measure: 0.8385, kappa: 0.6686, kb_relative_information_score: 23443.577, mean_absolute_error: 0.2505, 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: 0.5127, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.337, root_relative_squared_error: 0.6817, scimark_benchmark: 1853.5818, usercpu_time_millis: 12.026, usercpu_time_millis_testing: 0.392, usercpu_time_millis_training: 11.634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9094, f_measure: 0.8259, kappa: 0.6423, kb_relative_information_score: 21774.8101, mean_absolute_error: 0.2694, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8264, predictive_accuracy: 0.8268, prior_entropy: 0.9835, recall: 0.8268, relative_absolute_error: 0.5513, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3499, root_relative_squared_error: 0.708, scimark_benchmark: 1846.8309, usercpu_time_millis: 10.078, usercpu_time_millis_testing: 0.469, usercpu_time_millis_training: 9.609,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8959, f_measure: 0.8162, kappa: 0.6229, kb_relative_information_score: 21053.171, mean_absolute_error: 0.2762, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8162, predictive_accuracy: 0.8168, prior_entropy: 0.9835, recall: 0.8168, relative_absolute_error: 0.5654, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3603, root_relative_squared_error: 0.729, scimark_benchmark: 1822.6154, usercpu_time_millis: 328.094, usercpu_time_millis_testing: 20.361, usercpu_time_millis_training: 307.733,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8554, f_measure: 0.7631, kappa: 0.5137, kb_relative_information_score: 12907.5789, mean_absolute_error: 0.3695, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7814, predictive_accuracy: 0.7715, prior_entropy: 0.9835, recall: 0.7715, relative_absolute_error: 0.7563, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4056, root_relative_squared_error: 0.8205, scimark_benchmark: 1812.2788, usercpu_time_millis: 155.839, usercpu_time_millis_testing: 14.901, usercpu_time_millis_training: 140.938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8526, f_measure: 0.7571, kappa: 0.5015, kb_relative_information_score: 13991.6632, mean_absolute_error: 0.357, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7754, predictive_accuracy: 0.7659, prior_entropy: 0.9835, recall: 0.7659, relative_absolute_error: 0.7307, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.403, root_relative_squared_error: 0.8154, scimark_benchmark: 1836.0792, usercpu_time_millis: 92.255, usercpu_time_millis_testing: 10.62, usercpu_time_millis_training: 81.635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8707, f_measure: 0.7777, kappa: 0.5428, kb_relative_information_score: 17277.0193, mean_absolute_error: 0.3192, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7885, predictive_accuracy: 0.7834, prior_entropy: 0.9835, recall: 0.7834, relative_absolute_error: 0.6533, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3845, root_relative_squared_error: 0.7779, scimark_benchmark: 1787.6687, usercpu_time_millis: 148.225, usercpu_time_millis_testing: 12.172, usercpu_time_millis_training: 136.053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9303, f_measure: 0.8492, kappa: 0.6908, kb_relative_information_score: 24914.3799, mean_absolute_error: 0.2335, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8492, predictive_accuracy: 0.8496, prior_entropy: 0.9835, recall: 0.8496, relative_absolute_error: 0.4778, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3266, root_relative_squared_error: 0.6607, scimark_benchmark: 1832.1397, usercpu_time_millis: 151.472, usercpu_time_millis_testing: 6.566, usercpu_time_millis_training: 144.906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8646, f_measure: 0.7804, kappa: 0.548, kb_relative_information_score: 17654.3155, mean_absolute_error: 0.3146, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7871, predictive_accuracy: 0.7846, prior_entropy: 0.9835, recall: 0.7846, relative_absolute_error: 0.6439, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3853, root_relative_squared_error: 0.7795, scimark_benchmark: 1853.9121, usercpu_time_millis: 86.088, usercpu_time_millis_testing: 4.858, usercpu_time_millis_training: 81.23,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9336, f_measure: 0.856, kappa: 0.7049, kb_relative_information_score: 25902.8577, mean_absolute_error: 0.2218, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.856, predictive_accuracy: 0.8563, prior_entropy: 0.9835, recall: 0.8563, relative_absolute_error: 0.4539, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3213, root_relative_squared_error: 0.65, scimark_benchmark: 1846.1643, usercpu_time_millis: 196.473, usercpu_time_millis_testing: 5.614, usercpu_time_millis_training: 190.859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8839, f_measure: 0.8079, kappa: 0.6055, kb_relative_information_score: 19638.0707, mean_absolute_error: 0.2921, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8081, predictive_accuracy: 0.8088, prior_entropy: 0.9835, recall: 0.8088, relative_absolute_error: 0.5979, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3704, root_relative_squared_error: 0.7494, scimark_benchmark: 1844.6953, usercpu_time_millis: 182.995, usercpu_time_millis_testing: 11.402, usercpu_time_millis_training: 171.593,
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: 0.8746, f_measure: 0.7858, kappa: 0.5591, kb_relative_information_score: 17799.0927, mean_absolute_error: 0.3134, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.794, predictive_accuracy: 0.7904, prior_entropy: 0.9835, recall: 0.7904, relative_absolute_error: 0.6414, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3809, root_relative_squared_error: 0.7706, scimark_benchmark: 1826.3008, usercpu_time_millis: 181.78, usercpu_time_millis_testing: 13.997, usercpu_time_millis_training: 167.783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.882, f_measure: 0.8014, kappa: 0.5913, kb_relative_information_score: 18664.6745, mean_absolute_error: 0.3037, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8059, predictive_accuracy: 0.8044, prior_entropy: 0.9835, recall: 0.8044, relative_absolute_error: 0.6216, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3745, root_relative_squared_error: 0.7576, scimark_benchmark: 1709.9135, usercpu_time_millis: 196.319, usercpu_time_millis_testing: 14.531, usercpu_time_millis_training: 181.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8423, f_measure: 0.7699, kappa: 0.5264, kb_relative_information_score: 16547.4284, mean_absolute_error: 0.326, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7758, predictive_accuracy: 0.7742, prior_entropy: 0.9835, recall: 0.7742, relative_absolute_error: 0.6673, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4003, root_relative_squared_error: 0.81, scimark_benchmark: 1853.454, usercpu_time_millis: 154.97, usercpu_time_millis_testing: 11.04, usercpu_time_millis_training: 143.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, f_measure: 0.7888, kappa: 0.5654, kb_relative_information_score: 18207.0693, mean_absolute_error: 0.308, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7913, predictive_accuracy: 0.7912, prior_entropy: 0.9835, recall: 0.7912, relative_absolute_error: 0.6303, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3817, root_relative_squared_error: 0.7722, scimark_benchmark: 1834.1671, usercpu_time_millis: 80.467, usercpu_time_millis_testing: 8.968, usercpu_time_millis_training: 71.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.8292, kappa: 0.649, kb_relative_information_score: 21550.8347, mean_absolute_error: 0.2731, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8301, predictive_accuracy: 0.8303, prior_entropy: 0.9835, recall: 0.8303, relative_absolute_error: 0.559, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3483, root_relative_squared_error: 0.7046, scimark_benchmark: 1811.8207, usercpu_time_millis: 144.298, usercpu_time_millis_testing: 13.069, usercpu_time_millis_training: 131.229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8695, f_measure: 0.7957, kappa: 0.581, kb_relative_information_score: 18758.2125, mean_absolute_error: 0.3018, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7955, predictive_accuracy: 0.7962, prior_entropy: 0.9835, recall: 0.7962, relative_absolute_error: 0.6176, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3798, root_relative_squared_error: 0.7683, scimark_benchmark: 1849.9051, usercpu_time_millis: 146.311, usercpu_time_millis_testing: 7.952, usercpu_time_millis_training: 138.359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9526, f_measure: 0.8814, kappa: 0.757, kb_relative_information_score: 27731.4265, mean_absolute_error: 0.2035, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8814, predictive_accuracy: 0.8815, prior_entropy: 0.9835, recall: 0.8815, relative_absolute_error: 0.4165, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2975, root_relative_squared_error: 0.6019, scimark_benchmark: 1710.7838, usercpu_time_millis: 182.906, usercpu_time_millis_testing: 6.897, usercpu_time_millis_training: 176.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9368, f_measure: 0.8549, kappa: 0.7024, kb_relative_information_score: 25257.6091, mean_absolute_error: 0.2307, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8549, predictive_accuracy: 0.8553, prior_entropy: 0.9835, recall: 0.8553, relative_absolute_error: 0.4721, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3201, root_relative_squared_error: 0.6475, scimark_benchmark: 1855.4813, usercpu_time_millis: 167.649, usercpu_time_millis_testing: 7.785, usercpu_time_millis_training: 159.864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.895, f_measure: 0.8162, kappa: 0.623, kb_relative_information_score: 21157.6724, mean_absolute_error: 0.2748, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8161, predictive_accuracy: 0.8166, prior_entropy: 0.9835, recall: 0.8166, relative_absolute_error: 0.5623, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3608, root_relative_squared_error: 0.7299, scimark_benchmark: 1790.595, usercpu_time_millis: 124.113, usercpu_time_millis_testing: 6.282, usercpu_time_millis_training: 117.831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9383, f_measure: 0.8604, kappa: 0.714, kb_relative_information_score: 26352.0751, mean_absolute_error: 0.2171, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8604, predictive_accuracy: 0.8607, prior_entropy: 0.9835, recall: 0.8607, relative_absolute_error: 0.4443, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3159, root_relative_squared_error: 0.639, scimark_benchmark: 1855.4813, usercpu_time_millis: 160.95, usercpu_time_millis_testing: 4.338, usercpu_time_millis_training: 156.612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8815, f_measure: 0.8046, kappa: 0.599, kb_relative_information_score: 20015.2449, mean_absolute_error: 0.2876, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8045, predictive_accuracy: 0.8052, prior_entropy: 0.9835, recall: 0.8052, relative_absolute_error: 0.5886, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3707, root_relative_squared_error: 0.7501, scimark_benchmark: 1850.2875, usercpu_time_millis: 166.868, usercpu_time_millis_testing: 8.588, usercpu_time_millis_training: 158.28,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8638, f_measure: 0.7651, kappa: 0.5173, kb_relative_information_score: 16322.9916, mean_absolute_error: 0.3301, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7796, predictive_accuracy: 0.7724, prior_entropy: 0.9835, recall: 0.7724, relative_absolute_error: 0.6756, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.391, root_relative_squared_error: 0.7911, scimark_benchmark: 1829.1442, usercpu_time_millis: 140.475, usercpu_time_millis_testing: 11.44, usercpu_time_millis_training: 129.035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.959, f_measure: 0.8869, kappa: 0.7681, kb_relative_information_score: 27538.1525, mean_absolute_error: 0.2085, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8869, predictive_accuracy: 0.8871, prior_entropy: 0.9835, recall: 0.8871, relative_absolute_error: 0.4267, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2908, root_relative_squared_error: 0.5882, scimark_benchmark: 1811.2779, usercpu_time_millis: 92.716, usercpu_time_millis_testing: 5.408, usercpu_time_millis_training: 87.308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9538, f_measure: 0.8798, kappa: 0.7535, kb_relative_information_score: 27210.9953, mean_absolute_error: 0.2105, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8799, predictive_accuracy: 0.8801, prior_entropy: 0.9835, recall: 0.8801, relative_absolute_error: 0.4307, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2981, root_relative_squared_error: 0.603, scimark_benchmark: 1839.0605, usercpu_time_millis: 131.749, usercpu_time_millis_testing: 5.843, usercpu_time_millis_training: 125.906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: -1.3407, 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: 92.215, usercpu_time_millis_testing: 7.23, usercpu_time_millis_training: 84.985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8778, f_measure: 0.7883, kappa: 0.5645, kb_relative_information_score: 15782.8975, mean_absolute_error: 0.3384, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7979, predictive_accuracy: 0.7932, prior_entropy: 0.9835, recall: 0.7932, relative_absolute_error: 0.6925, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.386, root_relative_squared_error: 0.781, scimark_benchmark: 1822.9014, usercpu_time_millis: 118.499, usercpu_time_millis_testing: 14.859, usercpu_time_millis_training: 103.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8701, f_measure: 0.795, kappa: 0.5786, kb_relative_information_score: 18395.1749, mean_absolute_error: 0.3059, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7959, predictive_accuracy: 0.7965, prior_entropy: 0.9835, recall: 0.7965, relative_absolute_error: 0.6261, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3806, root_relative_squared_error: 0.7699, scimark_benchmark: 1853.9121, usercpu_time_millis: 125.162, usercpu_time_millis_testing: 7.41, usercpu_time_millis_training: 117.752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8932, f_measure: 0.8161, kappa: 0.6223, kb_relative_information_score: 20363.536, mean_absolute_error: 0.2845, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8164, predictive_accuracy: 0.817, prior_entropy: 0.9835, recall: 0.817, relative_absolute_error: 0.5823, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.735, scimark_benchmark: 1853.9121, usercpu_time_millis: 142.22, usercpu_time_millis_testing: 8.194, usercpu_time_millis_training: 134.026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8395, f_measure: 0.7538, kappa: 0.494, kb_relative_information_score: 14441.5474, mean_absolute_error: 0.3505, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7671, predictive_accuracy: 0.7613, prior_entropy: 0.9835, recall: 0.7613, relative_absolute_error: 0.7173, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4066, root_relative_squared_error: 0.8226, scimark_benchmark: 1857.5664, usercpu_time_millis: 142.671, usercpu_time_millis_testing: 13.11, usercpu_time_millis_training: 129.561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8445, f_measure: 0.7532, kappa: 0.4931, kb_relative_information_score: 15578.3107, mean_absolute_error: 0.3365, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7681, predictive_accuracy: 0.7613, prior_entropy: 0.9835, recall: 0.7613, relative_absolute_error: 0.6886, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4034, root_relative_squared_error: 0.8161, scimark_benchmark: 1850.3603, usercpu_time_millis: 120.069, usercpu_time_millis_testing: 9.352, usercpu_time_millis_training: 110.717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8686, f_measure: 0.7788, kappa: 0.5451, kb_relative_information_score: 14581.5967, mean_absolute_error: 0.3514, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7917, predictive_accuracy: 0.785, prior_entropy: 0.9835, recall: 0.785, relative_absolute_error: 0.7192, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3944, root_relative_squared_error: 0.7979, scimark_benchmark: 1819.4765, usercpu_time_millis: 82.885, usercpu_time_millis_testing: 8.826, usercpu_time_millis_training: 74.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8478, f_measure: 0.7599, kappa: 0.5074, kb_relative_information_score: 12003.8287, mean_absolute_error: 0.3792, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7792, predictive_accuracy: 0.7688, prior_entropy: 0.9835, recall: 0.7688, relative_absolute_error: 0.776, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4115, root_relative_squared_error: 0.8326, scimark_benchmark: 1847.2753, usercpu_time_millis: 137.294, usercpu_time_millis_testing: 13.419, usercpu_time_millis_training: 123.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8821, f_measure: 0.8069, kappa: 0.6028, kb_relative_information_score: 19092.441, mean_absolute_error: 0.2985, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.809, predictive_accuracy: 0.8089, prior_entropy: 0.9835, recall: 0.8089, relative_absolute_error: 0.6109, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.373, root_relative_squared_error: 0.7547, scimark_benchmark: 1857.1082, usercpu_time_millis: 109.925, usercpu_time_millis_testing: 6.56, usercpu_time_millis_training: 103.365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.7793, kappa: 0.5463, kb_relative_information_score: 14599.6815, mean_absolute_error: 0.3513, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7921, predictive_accuracy: 0.7855, prior_entropy: 0.9835, recall: 0.7855, relative_absolute_error: 0.7189, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3942, root_relative_squared_error: 0.7976, scimark_benchmark: 1808.526, usercpu_time_millis: 101.744, usercpu_time_millis_testing: 9.789, usercpu_time_millis_training: 91.955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8794, f_measure: 0.7915, kappa: 0.5709, kb_relative_information_score: 15921.3141, mean_absolute_error: 0.337, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8004, predictive_accuracy: 0.7961, prior_entropy: 0.9835, recall: 0.7961, relative_absolute_error: 0.6896, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3849, root_relative_squared_error: 0.7787, scimark_benchmark: 1850.2875, usercpu_time_millis: 145.411, usercpu_time_millis_testing: 14.089, usercpu_time_millis_training: 131.322,

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