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: 0.3418, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1850.2875, usercpu_time_millis: 10.239, usercpu_time_millis_testing: 1.198, usercpu_time_millis_training: 9.041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8591, f_measure: 0.7669, kappa: 0.5206, kb_relative_information_score: 17151.0768, mean_absolute_error: 0.3195, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7782, predictive_accuracy: 0.7732, prior_entropy: 0.9835, recall: 0.7732, relative_absolute_error: 0.6539, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.39, root_relative_squared_error: 0.789, scimark_benchmark: 1791.5154, usercpu_time_millis: 15.865, usercpu_time_millis_testing: 1.018, usercpu_time_millis_training: 14.847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9643, f_measure: 0.8983, kappa: 0.7918, kb_relative_information_score: 30139.4112, mean_absolute_error: 0.1764, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8983, predictive_accuracy: 0.8984, prior_entropy: 0.9835, recall: 0.8984, relative_absolute_error: 0.3609, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2756, root_relative_squared_error: 0.5576, scimark_benchmark: 1852.5406, usercpu_time_millis: 26.21, usercpu_time_millis_testing: 0.629, usercpu_time_millis_training: 25.581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8439, f_measure: 0.7563, kappa: 0.4996, kb_relative_information_score: 14018.6154, mean_absolute_error: 0.3561, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7722, predictive_accuracy: 0.7645, prior_entropy: 0.9835, recall: 0.7645, relative_absolute_error: 0.7289, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4057, root_relative_squared_error: 0.8207, scimark_benchmark: 1838.6023, usercpu_time_millis: 25.111, usercpu_time_millis_testing: 1.567, usercpu_time_millis_training: 23.544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7843, f_measure: 0.6891, kappa: 0.3764, kb_relative_information_score: 4580.4927, mean_absolute_error: 0.4509, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7515, predictive_accuracy: 0.716, prior_entropy: 0.9835, recall: 0.716, relative_absolute_error: 0.9229, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4607, root_relative_squared_error: 0.932, scimark_benchmark: 1833.7089, usercpu_time_millis: 5.23, usercpu_time_millis_testing: 0.461, usercpu_time_millis_training: 4.769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8882, f_measure: 0.8108, kappa: 0.6121, kb_relative_information_score: 20622.3474, mean_absolute_error: 0.2807, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8107, predictive_accuracy: 0.8112, prior_entropy: 0.9835, recall: 0.8112, relative_absolute_error: 0.5745, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3658, root_relative_squared_error: 0.7401, scimark_benchmark: 1849.8294, usercpu_time_millis: 16.257, usercpu_time_millis_testing: 0.484, usercpu_time_millis_training: 15.773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8931, f_measure: 0.8142, kappa: 0.6189, kb_relative_information_score: 21062.4626, mean_absolute_error: 0.2756, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8142, predictive_accuracy: 0.8148, prior_entropy: 0.9835, recall: 0.8148, relative_absolute_error: 0.5641, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.7327, scimark_benchmark: 1815.3851, usercpu_time_millis: 4.918, usercpu_time_millis_testing: 0.188, usercpu_time_millis_training: 4.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9534, f_measure: 0.8808, kappa: 0.7557, kb_relative_information_score: 27820.1689, mean_absolute_error: 0.2033, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8808, predictive_accuracy: 0.881, prior_entropy: 0.9835, recall: 0.881, relative_absolute_error: 0.416, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2954, root_relative_squared_error: 0.5976, scimark_benchmark: 1846.7651, usercpu_time_millis: 6.758, usercpu_time_millis_testing: 0.362, usercpu_time_millis_training: 6.396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9583, f_measure: 0.9085, kappa: 0.8138, kb_relative_information_score: 34500.9745, mean_absolute_error: 0.1207, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9105, predictive_accuracy: 0.9082, prior_entropy: 0.9835, recall: 0.9082, relative_absolute_error: 0.2471, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2618, root_relative_squared_error: 0.5296, scimark_benchmark: 1815.2404, usercpu_time_millis: 4.2, usercpu_time_millis_testing: 0.17, usercpu_time_millis_training: 4.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: 0.7318, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1813.848, usercpu_time_millis: 9.013, usercpu_time_millis_testing: 1.092, usercpu_time_millis_training: 7.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9096, f_measure: 0.8272, kappa: 0.6454, kb_relative_information_score: 22309.7004, mean_absolute_error: 0.2625, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8274, predictive_accuracy: 0.8279, prior_entropy: 0.9835, recall: 0.8279, relative_absolute_error: 0.5372, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3485, root_relative_squared_error: 0.7052, scimark_benchmark: 1850.3603, usercpu_time_millis: 10.03, usercpu_time_millis_testing: 0.355, usercpu_time_millis_training: 9.675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9091, f_measure: 0.826, kappa: 0.643, kb_relative_information_score: 22547.6772, mean_absolute_error: 0.2591, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8261, predictive_accuracy: 0.8266, prior_entropy: 0.9835, recall: 0.8266, relative_absolute_error: 0.5303, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3486, root_relative_squared_error: 0.7053, scimark_benchmark: 1846.3046, usercpu_time_millis: 403.468, usercpu_time_millis_testing: 17.331, usercpu_time_millis_training: 386.137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9165, f_measure: 0.8322, kappa: 0.6552, kb_relative_information_score: 21920.9839, mean_absolute_error: 0.2691, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.833, predictive_accuracy: 0.8332, prior_entropy: 0.9835, recall: 0.8332, relative_absolute_error: 0.5508, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3448, root_relative_squared_error: 0.6976, scimark_benchmark: 1848.2539, usercpu_time_millis: 285.664, usercpu_time_millis_testing: 22.399, usercpu_time_millis_training: 263.265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9057, f_measure: 0.8229, kappa: 0.6363, kb_relative_information_score: 21619.4859, mean_absolute_error: 0.2706, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8231, predictive_accuracy: 0.8237, prior_entropy: 0.9835, recall: 0.8237, relative_absolute_error: 0.5539, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3528, root_relative_squared_error: 0.7138, scimark_benchmark: 1746.055, usercpu_time_millis: 339.584, usercpu_time_millis_testing: 19.071, usercpu_time_millis_training: 320.513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9025, f_measure: 0.8193, kappa: 0.6291, kb_relative_information_score: 21586.9914, mean_absolute_error: 0.2705, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8194, predictive_accuracy: 0.82, prior_entropy: 0.9835, recall: 0.82, relative_absolute_error: 0.5536, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.355, root_relative_squared_error: 0.7182, scimark_benchmark: 1846.7639, usercpu_time_millis: 355.858, usercpu_time_millis_testing: 18.203, usercpu_time_millis_training: 337.655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8968, f_measure: 0.816, kappa: 0.6222, kb_relative_information_score: 20994.2049, mean_absolute_error: 0.2771, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8161, predictive_accuracy: 0.8167, prior_entropy: 0.9835, recall: 0.8167, relative_absolute_error: 0.5672, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3599, root_relative_squared_error: 0.728, scimark_benchmark: 1849.447, usercpu_time_millis: 301.975, usercpu_time_millis_testing: 17.224, usercpu_time_millis_training: 284.751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, f_measure: 0.8421, kappa: 0.6761, kb_relative_information_score: 23915.8831, mean_absolute_error: 0.2448, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8422, predictive_accuracy: 0.8426, prior_entropy: 0.9835, recall: 0.8426, relative_absolute_error: 0.5009, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3343, root_relative_squared_error: 0.6764, scimark_benchmark: 1846.89, usercpu_time_millis: 295.639, usercpu_time_millis_testing: 14.251, usercpu_time_millis_training: 281.388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8995, f_measure: 0.8191, kappa: 0.6282, kb_relative_information_score: 20646.0687, mean_absolute_error: 0.282, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.82, predictive_accuracy: 0.8203, prior_entropy: 0.9835, recall: 0.8203, relative_absolute_error: 0.5771, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.359, root_relative_squared_error: 0.7263, scimark_benchmark: 1855.0232, usercpu_time_millis: 250.414, usercpu_time_millis_testing: 17.207, usercpu_time_millis_training: 233.207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8934, f_measure: 0.8144, kappa: 0.6194, kb_relative_information_score: 21183.681, mean_absolute_error: 0.2742, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8142, predictive_accuracy: 0.8148, prior_entropy: 0.9835, recall: 0.8148, relative_absolute_error: 0.5612, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.732, scimark_benchmark: 1837.1955, usercpu_time_millis: 250.59, usercpu_time_millis_testing: 13.589, usercpu_time_millis_training: 237.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8778, f_measure: 0.8022, kappa: 0.5941, kb_relative_information_score: 19436.3123, mean_absolute_error: 0.2941, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8021, predictive_accuracy: 0.8028, prior_entropy: 0.9835, recall: 0.8028, relative_absolute_error: 0.6019, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.7571, scimark_benchmark: 1852.9259, usercpu_time_millis: 293.47, usercpu_time_millis_testing: 16.542, usercpu_time_millis_training: 276.928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8927, f_measure: 0.8137, kappa: 0.6177, kb_relative_information_score: 20757.8645, mean_absolute_error: 0.2795, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8137, predictive_accuracy: 0.8143, prior_entropy: 0.9835, recall: 0.8143, relative_absolute_error: 0.5721, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3629, root_relative_squared_error: 0.7342, scimark_benchmark: 1851.3287, usercpu_time_millis: 257.478, usercpu_time_millis_testing: 15.341, usercpu_time_millis_training: 242.137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8648, f_measure: 0.7948, kappa: 0.5796, kb_relative_information_score: 18922.2152, mean_absolute_error: 0.2995, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7946, predictive_accuracy: 0.7949, prior_entropy: 0.9835, recall: 0.7949, relative_absolute_error: 0.6129, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3814, root_relative_squared_error: 0.7716, scimark_benchmark: 1748.8071, usercpu_time_millis: 241.944, usercpu_time_millis_testing: 9.756, usercpu_time_millis_training: 232.188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9185, f_measure: 0.8347, kappa: 0.6607, kb_relative_information_score: 23144.8059, mean_absolute_error: 0.2535, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8348, predictive_accuracy: 0.8353, prior_entropy: 0.9835, recall: 0.8353, relative_absolute_error: 0.5188, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3403, root_relative_squared_error: 0.6886, scimark_benchmark: 1845.1169, usercpu_time_millis: 228.556, usercpu_time_millis_testing: 9.429, usercpu_time_millis_training: 219.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9032, f_measure: 0.8191, kappa: 0.6288, kb_relative_information_score: 22240.5664, mean_absolute_error: 0.2619, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8192, predictive_accuracy: 0.8198, prior_entropy: 0.9835, recall: 0.8198, relative_absolute_error: 0.536, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3535, root_relative_squared_error: 0.7152, scimark_benchmark: 1850.5803, usercpu_time_millis: 205.206, usercpu_time_millis_testing: 7.489, usercpu_time_millis_training: 197.717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.87, f_measure: 0.7919, kappa: 0.5719, kb_relative_information_score: 18252.757, mean_absolute_error: 0.3075, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7938, predictive_accuracy: 0.794, prior_entropy: 0.9835, recall: 0.794, relative_absolute_error: 0.6294, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.381, root_relative_squared_error: 0.7709, scimark_benchmark: 1848.2615, usercpu_time_millis: 215.347, usercpu_time_millis_testing: 12.063, usercpu_time_millis_training: 203.284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8598, f_measure: 0.7835, kappa: 0.5545, kb_relative_information_score: 17706.9289, mean_absolute_error: 0.3139, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7873, predictive_accuracy: 0.7866, prior_entropy: 0.9835, recall: 0.7866, relative_absolute_error: 0.6425, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3869, root_relative_squared_error: 0.7828, scimark_benchmark: 1830.6983, usercpu_time_millis: 222.994, usercpu_time_millis_testing: 14.729, usercpu_time_millis_training: 208.265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8821, f_measure: 0.8044, kappa: 0.5987, kb_relative_information_score: 20341.3712, mean_absolute_error: 0.2837, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8043, predictive_accuracy: 0.805, prior_entropy: 0.9835, recall: 0.805, relative_absolute_error: 0.5806, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3698, root_relative_squared_error: 0.7482, scimark_benchmark: 1850.8706, usercpu_time_millis: 225.476, usercpu_time_millis_testing: 11.582, usercpu_time_millis_training: 213.894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8931, f_measure: 0.8154, kappa: 0.6215, kb_relative_information_score: 21083.5795, mean_absolute_error: 0.2755, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8153, predictive_accuracy: 0.8158, prior_entropy: 0.9835, recall: 0.8158, relative_absolute_error: 0.5638, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.362, root_relative_squared_error: 0.7324, scimark_benchmark: 1858.6775, usercpu_time_millis: 181.689, usercpu_time_millis_testing: 10.475, usercpu_time_millis_training: 171.214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9344, f_measure: 0.8528, kappa: 0.6981, kb_relative_information_score: 24937.8068, mean_absolute_error: 0.2343, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8529, predictive_accuracy: 0.8533, prior_entropy: 0.9835, recall: 0.8533, relative_absolute_error: 0.4796, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3228, root_relative_squared_error: 0.6532, scimark_benchmark: 1854.4431, usercpu_time_millis: 174.656, usercpu_time_millis_testing: 11.391, usercpu_time_millis_training: 163.265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.859, f_measure: 0.794, kappa: 0.5775, kb_relative_information_score: 18305.7381, mean_absolute_error: 0.3068, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7938, predictive_accuracy: 0.7944, prior_entropy: 0.9835, recall: 0.7944, relative_absolute_error: 0.6278, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3852, root_relative_squared_error: 0.7794, scimark_benchmark: 1845.264, usercpu_time_millis: 169.259, usercpu_time_millis_testing: 10.9, usercpu_time_millis_training: 158.359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8721, f_measure: 0.797, kappa: 0.5825, kb_relative_information_score: 18502.9646, mean_absolute_error: 0.3048, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7981, predictive_accuracy: 0.7986, prior_entropy: 0.9835, recall: 0.7986, relative_absolute_error: 0.6238, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3793, root_relative_squared_error: 0.7674, scimark_benchmark: 1844.6953, usercpu_time_millis: 187.423, usercpu_time_millis_testing: 10.416, usercpu_time_millis_training: 177.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8653, f_measure: 0.7923, kappa: 0.5732, kb_relative_information_score: 18263.8517, mean_absolute_error: 0.3073, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7927, predictive_accuracy: 0.7935, prior_entropy: 0.9835, recall: 0.7935, relative_absolute_error: 0.6288, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3831, root_relative_squared_error: 0.775, scimark_benchmark: 1853.9121, usercpu_time_millis: 173.441, usercpu_time_millis_testing: 11.817, usercpu_time_millis_training: 161.624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8567, f_measure: 0.7649, kappa: 0.5166, kb_relative_information_score: 16560.0848, mean_absolute_error: 0.3266, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7767, predictive_accuracy: 0.7714, prior_entropy: 0.9835, recall: 0.7714, relative_absolute_error: 0.6683, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.7947, scimark_benchmark: 1850.2875, usercpu_time_millis: 168.847, usercpu_time_millis_testing: 10.981, usercpu_time_millis_training: 157.866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8946, f_measure: 0.8162, kappa: 0.6224, kb_relative_information_score: 20410.324, mean_absolute_error: 0.2841, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8171, predictive_accuracy: 0.8175, prior_entropy: 0.9835, recall: 0.8175, relative_absolute_error: 0.5813, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.7334, scimark_benchmark: 1848.388, usercpu_time_millis: 209.807, usercpu_time_millis_testing: 16.001, usercpu_time_millis_training: 193.806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9138, f_measure: 0.8307, kappa: 0.6527, kb_relative_information_score: 22950.7092, mean_absolute_error: 0.2549, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8307, predictive_accuracy: 0.8312, prior_entropy: 0.9835, recall: 0.8312, relative_absolute_error: 0.5218, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3443, root_relative_squared_error: 0.6965, scimark_benchmark: 1848.2615, usercpu_time_millis: 168.037, usercpu_time_millis_testing: 8.357, usercpu_time_millis_training: 159.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9699, f_measure: 0.9078, kappa: 0.8112, kb_relative_information_score: 31861.2528, mean_absolute_error: 0.1562, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9077, predictive_accuracy: 0.9078, prior_entropy: 0.9835, recall: 0.9078, relative_absolute_error: 0.3196, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2615, root_relative_squared_error: 0.529, scimark_benchmark: 1817.5741, usercpu_time_millis: 192.928, usercpu_time_millis_testing: 4.432, usercpu_time_millis_training: 188.496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9101, f_measure: 0.8264, kappa: 0.6438, kb_relative_information_score: 22492.0028, mean_absolute_error: 0.2601, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8266, predictive_accuracy: 0.8271, prior_entropy: 0.9835, recall: 0.8271, relative_absolute_error: 0.5324, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3479, root_relative_squared_error: 0.7039, scimark_benchmark: 1849.3742, usercpu_time_millis: 207.911, usercpu_time_millis_testing: 8.061, usercpu_time_millis_training: 199.85,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8933, f_measure: 0.8159, kappa: 0.6218, kb_relative_information_score: 20344.2188, mean_absolute_error: 0.2847, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8163, predictive_accuracy: 0.8169, prior_entropy: 0.9835, recall: 0.8169, relative_absolute_error: 0.5827, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.735, scimark_benchmark: 1855.4813, usercpu_time_millis: 176.78, usercpu_time_millis_testing: 10.714, usercpu_time_millis_training: 166.066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9143, f_measure: 0.8301, kappa: 0.6511, kb_relative_information_score: 22204.8606, mean_absolute_error: 0.2648, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8306, predictive_accuracy: 0.831, prior_entropy: 0.9835, recall: 0.831, relative_absolute_error: 0.542, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3456, root_relative_squared_error: 0.6991, scimark_benchmark: 1853.0716, usercpu_time_millis: 174.121, usercpu_time_millis_testing: 9.979, usercpu_time_millis_training: 164.142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8688, f_measure: 0.7786, kappa: 0.5449, kb_relative_information_score: 14600.1394, mean_absolute_error: 0.3512, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7916, predictive_accuracy: 0.7849, prior_entropy: 0.9835, recall: 0.7849, relative_absolute_error: 0.7188, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3943, root_relative_squared_error: 0.7977, scimark_benchmark: 1849.8294, usercpu_time_millis: 170.2, usercpu_time_millis_testing: 16.445, usercpu_time_millis_training: 153.755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9473, f_measure: 0.8711, kappa: 0.7358, kb_relative_information_score: 26602.2191, mean_absolute_error: 0.2163, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8711, predictive_accuracy: 0.8714, prior_entropy: 0.9835, recall: 0.8714, relative_absolute_error: 0.4427, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3065, root_relative_squared_error: 0.6201, scimark_benchmark: 1855.5999, usercpu_time_millis: 169.244, usercpu_time_millis_testing: 7.127, usercpu_time_millis_training: 162.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8802, f_measure: 0.8019, kappa: 0.5936, kb_relative_information_score: 19693.8075, mean_absolute_error: 0.2912, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8019, predictive_accuracy: 0.8026, prior_entropy: 0.9835, recall: 0.8026, relative_absolute_error: 0.5961, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3725, root_relative_squared_error: 0.7536, scimark_benchmark: 1846.8866, usercpu_time_millis: 167.39, usercpu_time_millis_testing: 10.285, usercpu_time_millis_training: 157.105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8628, f_measure: 0.7632, kappa: 0.5137, kb_relative_information_score: 15415.4065, mean_absolute_error: 0.341, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.779, predictive_accuracy: 0.771, prior_entropy: 0.9835, recall: 0.771, relative_absolute_error: 0.6978, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3942, root_relative_squared_error: 0.7976, scimark_benchmark: 1854.568, usercpu_time_millis: 148.944, usercpu_time_millis_testing: 13.23, usercpu_time_millis_training: 135.714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9038, f_measure: 0.8218, kappa: 0.6341, kb_relative_information_score: 21620.0503, mean_absolute_error: 0.2704, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8219, predictive_accuracy: 0.8225, prior_entropy: 0.9835, recall: 0.8225, relative_absolute_error: 0.5535, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3539, root_relative_squared_error: 0.7159, scimark_benchmark: 1849.9292, usercpu_time_millis: 146.354, usercpu_time_millis_testing: 14.892, usercpu_time_millis_training: 131.462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8478, f_measure: 0.7567, kappa: 0.5007, kb_relative_information_score: 13430.9504, mean_absolute_error: 0.3634, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.775, predictive_accuracy: 0.7655, prior_entropy: 0.9835, recall: 0.7655, relative_absolute_error: 0.7436, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4064, root_relative_squared_error: 0.8222, scimark_benchmark: 1847.2233, usercpu_time_millis: 152.968, usercpu_time_millis_testing: 12.021, usercpu_time_millis_training: 140.947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8671, f_measure: 0.7909, kappa: 0.5706, kb_relative_information_score: 18318.3855, mean_absolute_error: 0.3066, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7911, predictive_accuracy: 0.792, prior_entropy: 0.9835, recall: 0.792, relative_absolute_error: 0.6275, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.382, root_relative_squared_error: 0.7728, scimark_benchmark: 1853.454, usercpu_time_millis: 138.671, usercpu_time_millis_testing: 6.571, usercpu_time_millis_training: 132.1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8925, f_measure: 0.8141, kappa: 0.6186, kb_relative_information_score: 20740.0552, mean_absolute_error: 0.2797, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8141, predictive_accuracy: 0.8147, prior_entropy: 0.9835, recall: 0.8147, relative_absolute_error: 0.5725, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.363, root_relative_squared_error: 0.7344, scimark_benchmark: 1853.3841, usercpu_time_millis: 166.862, usercpu_time_millis_testing: 9.077, usercpu_time_millis_training: 157.785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.875, f_measure: 0.7991, kappa: 0.5875, kb_relative_information_score: 19069.5809, mean_absolute_error: 0.2984, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7992, predictive_accuracy: 0.8, prior_entropy: 0.9835, recall: 0.8, relative_absolute_error: 0.6108, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3764, root_relative_squared_error: 0.7615, scimark_benchmark: 1847.3406, usercpu_time_millis: 185.508, usercpu_time_millis_testing: 10.904, usercpu_time_millis_training: 174.604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.845, f_measure: 0.7488, kappa: 0.4844, kb_relative_information_score: 15659.8496, mean_absolute_error: 0.3351, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7657, predictive_accuracy: 0.7577, prior_entropy: 0.9835, recall: 0.7577, relative_absolute_error: 0.6859, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4039, root_relative_squared_error: 0.8171, scimark_benchmark: 1849.3014, usercpu_time_millis: 130.774, usercpu_time_millis_testing: 8.715, usercpu_time_millis_training: 122.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8811, f_measure: 0.7999, kappa: 0.5881, kb_relative_information_score: 18596.5813, mean_absolute_error: 0.3045, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8044, predictive_accuracy: 0.8029, prior_entropy: 0.9835, recall: 0.8029, relative_absolute_error: 0.6232, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3751, root_relative_squared_error: 0.7589, scimark_benchmark: 1845.3975, usercpu_time_millis: 180.326, usercpu_time_millis_testing: 12.399, usercpu_time_millis_training: 167.927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8676, f_measure: 0.7721, kappa: 0.5313, kb_relative_information_score: 16876.816, mean_absolute_error: 0.3238, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7842, predictive_accuracy: 0.7784, prior_entropy: 0.9835, recall: 0.7784, relative_absolute_error: 0.6626, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3872, root_relative_squared_error: 0.7833, scimark_benchmark: 1853.9121, usercpu_time_millis: 142.135, usercpu_time_millis_testing: 10.512, usercpu_time_millis_training: 131.623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8815, f_measure: 0.8042, kappa: 0.5984, kb_relative_information_score: 20311.9222, mean_absolute_error: 0.284, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8041, predictive_accuracy: 0.8048, prior_entropy: 0.9835, recall: 0.8048, relative_absolute_error: 0.5812, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3702, root_relative_squared_error: 0.749, scimark_benchmark: 1819.9868, usercpu_time_millis: 154.076, usercpu_time_millis_testing: 7.482, usercpu_time_millis_training: 146.594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8586, f_measure: 0.758, kappa: 0.5033, kb_relative_information_score: 15640.5663, mean_absolute_error: 0.3379, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7751, predictive_accuracy: 0.7665, prior_entropy: 0.9835, recall: 0.7665, relative_absolute_error: 0.6916, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.8005, scimark_benchmark: 1817.0577, usercpu_time_millis: 142.826, usercpu_time_millis_testing: 11.676, usercpu_time_millis_training: 131.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8397, f_measure: 0.7486, kappa: 0.484, kb_relative_information_score: 15696.5578, mean_absolute_error: 0.3344, 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: 0.6844, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4053, root_relative_squared_error: 0.8199, scimark_benchmark: 1855.4813, usercpu_time_millis: 124.327, usercpu_time_millis_testing: 8.563, usercpu_time_millis_training: 115.764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9264, f_measure: 0.8436, kappa: 0.6791, kb_relative_information_score: 23855.7256, mean_absolute_error: 0.2462, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8437, predictive_accuracy: 0.8441, prior_entropy: 0.9835, recall: 0.8441, relative_absolute_error: 0.5038, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3325, root_relative_squared_error: 0.6727, scimark_benchmark: 1850.8706, usercpu_time_millis: 130.786, usercpu_time_millis_testing: 4.659, usercpu_time_millis_training: 126.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9062, f_measure: 0.8224, kappa: 0.6354, kb_relative_information_score: 21881.0081, mean_absolute_error: 0.2674, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8225, predictive_accuracy: 0.8231, prior_entropy: 0.9835, recall: 0.8231, relative_absolute_error: 0.5472, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3518, root_relative_squared_error: 0.7118, scimark_benchmark: 1857.5664, usercpu_time_millis: 128.207, usercpu_time_millis_testing: 6.649, usercpu_time_millis_training: 121.558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9252, f_measure: 0.843, kappa: 0.6776, kb_relative_information_score: 22989.8949, mean_absolute_error: 0.2577, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8434, predictive_accuracy: 0.8437, prior_entropy: 0.9835, recall: 0.8437, relative_absolute_error: 0.5273, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3354, root_relative_squared_error: 0.6785, scimark_benchmark: 1854.568, usercpu_time_millis: 152.18, usercpu_time_millis_testing: 13.534, usercpu_time_millis_training: 138.646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8932, f_measure: 0.8116, kappa: 0.6123, kb_relative_information_score: 17654.2412, mean_absolute_error: 0.3182, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8158, predictive_accuracy: 0.8143, prior_entropy: 0.9835, recall: 0.8143, relative_absolute_error: 0.6513, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3722, root_relative_squared_error: 0.7531, scimark_benchmark: 1823.8182, usercpu_time_millis: 148.722, usercpu_time_millis_testing: 18.845, usercpu_time_millis_training: 129.877,
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: 0.9136, f_measure: 0.8305, kappa: 0.6516, kb_relative_information_score: 21622.3065, mean_absolute_error: 0.2723, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8314, predictive_accuracy: 0.8316, prior_entropy: 0.9835, recall: 0.8316, relative_absolute_error: 0.5574, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3475, root_relative_squared_error: 0.7031, scimark_benchmark: 1745.9223, usercpu_time_millis: 119.658, usercpu_time_millis_testing: 8.119, usercpu_time_millis_training: 111.539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9626, f_measure: 0.8949, kappa: 0.7846, kb_relative_information_score: 29009.758, mean_absolute_error: 0.1901, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8949, predictive_accuracy: 0.895, prior_entropy: 0.9835, recall: 0.895, relative_absolute_error: 0.3891, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2822, root_relative_squared_error: 0.5709, scimark_benchmark: 1123.1936, usercpu_time_millis: 114.861, usercpu_time_millis_testing: 4.362, usercpu_time_millis_training: 110.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.9116, kappa: 0.819, kb_relative_information_score: 31404.1313, mean_absolute_error: 0.1632, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9116, predictive_accuracy: 0.9116, prior_entropy: 0.9835, recall: 0.9116, relative_absolute_error: 0.334, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2594, root_relative_squared_error: 0.5249, scimark_benchmark: 1845.7061, usercpu_time_millis: 118.354, usercpu_time_millis_testing: 3.667, usercpu_time_millis_training: 114.687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9318, f_measure: 0.8512, kappa: 0.6948, kb_relative_information_score: 25134.7452, mean_absolute_error: 0.231, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8512, predictive_accuracy: 0.8516, prior_entropy: 0.9835, recall: 0.8516, relative_absolute_error: 0.4728, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3248, root_relative_squared_error: 0.6571, scimark_benchmark: 1855.0232, usercpu_time_millis: 97.888, usercpu_time_millis_testing: 2.863, usercpu_time_millis_training: 95.025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8831, f_measure: 0.8057, kappa: 0.6013, kb_relative_information_score: 20097.8634, mean_absolute_error: 0.2867, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8056, predictive_accuracy: 0.8062, prior_entropy: 0.9835, recall: 0.8062, relative_absolute_error: 0.5867, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3698, root_relative_squared_error: 0.7481, scimark_benchmark: 1842.3285, usercpu_time_millis: 107.81, usercpu_time_millis_testing: 4.135, usercpu_time_millis_training: 103.675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8033, f_measure: 0.7486, kappa: 0.484, kb_relative_information_score: 15056.3371, mean_absolute_error: 0.3406, 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: 0.6971, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4117, root_relative_squared_error: 0.8328, scimark_benchmark: 1847.1852, usercpu_time_millis: 89.873, usercpu_time_millis_testing: 5.062, usercpu_time_millis_training: 84.811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, f_measure: 0.7486, kappa: 0.4839, kb_relative_information_score: 14840.6019, mean_absolute_error: 0.3449, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.765, predictive_accuracy: 0.7574, prior_entropy: 0.9835, recall: 0.7574, relative_absolute_error: 0.7059, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4093, root_relative_squared_error: 0.8282, scimark_benchmark: 1852.9259, usercpu_time_millis: 90.8, usercpu_time_millis_testing: 5.885, usercpu_time_millis_training: 84.915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8684, f_measure: 0.7714, kappa: 0.53, kb_relative_information_score: 16893.6429, mean_absolute_error: 0.3235, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7843, predictive_accuracy: 0.7779, prior_entropy: 0.9835, recall: 0.7779, relative_absolute_error: 0.6621, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.387, root_relative_squared_error: 0.7829, scimark_benchmark: 1852.0126, usercpu_time_millis: 138.735, usercpu_time_millis_testing: 12.965, usercpu_time_millis_training: 125.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7981, f_measure: 0.7486, kappa: 0.484, kb_relative_information_score: 10613.9945, mean_absolute_error: 0.3941, 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: 0.8065, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.428, root_relative_squared_error: 0.8659, scimark_benchmark: 1746.8649, usercpu_time_millis: 103.596, usercpu_time_millis_testing: 10.817, usercpu_time_millis_training: 92.779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8785, f_measure: 0.8004, kappa: 0.5892, kb_relative_information_score: 18663.9502, mean_absolute_error: 0.3032, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8042, predictive_accuracy: 0.8031, prior_entropy: 0.9835, recall: 0.8031, relative_absolute_error: 0.6205, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3763, root_relative_squared_error: 0.7613, scimark_benchmark: 1848.916, usercpu_time_millis: 88.516, usercpu_time_millis_testing: 7.189, usercpu_time_millis_training: 81.327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8764, f_measure: 0.7876, kappa: 0.563, kb_relative_information_score: 15563.3596, mean_absolute_error: 0.3408, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7975, predictive_accuracy: 0.7926, prior_entropy: 0.9835, recall: 0.7926, relative_absolute_error: 0.6975, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3875, root_relative_squared_error: 0.7841, scimark_benchmark: 1855.0232, usercpu_time_millis: 87.847, usercpu_time_millis_testing: 7.035, usercpu_time_millis_training: 80.812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.863, f_measure: 0.7749, kappa: 0.5368, kb_relative_information_score: 17346.5692, mean_absolute_error: 0.3181, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7836, predictive_accuracy: 0.78, prior_entropy: 0.9835, recall: 0.78, relative_absolute_error: 0.651, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3873, root_relative_squared_error: 0.7835, scimark_benchmark: 1843.2356, usercpu_time_millis: 118.971, usercpu_time_millis_testing: 7.922, usercpu_time_millis_training: 111.049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8574, f_measure: 0.7591, kappa: 0.5054, kb_relative_information_score: 14678.482, mean_absolute_error: 0.3493, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7761, predictive_accuracy: 0.7674, prior_entropy: 0.9835, recall: 0.7674, relative_absolute_error: 0.7149, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.399, root_relative_squared_error: 0.8072, scimark_benchmark: 2135.8856, usercpu_time_millis: 78.534, usercpu_time_millis_testing: 8.829, usercpu_time_millis_training: 69.705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8443, f_measure: 0.749, kappa: 0.4848, kb_relative_information_score: 15784.2159, mean_absolute_error: 0.3336, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7654, predictive_accuracy: 0.7578, prior_entropy: 0.9835, recall: 0.7578, relative_absolute_error: 0.6828, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.8164, scimark_benchmark: 1852.4707, usercpu_time_millis: 127.614, usercpu_time_millis_testing: 9.735, usercpu_time_millis_training: 117.879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: -0.7043, 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: 82.282, usercpu_time_millis_testing: 7.241, usercpu_time_millis_training: 75.041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9483, f_measure: 0.8761, kappa: 0.7462, kb_relative_information_score: 27154.4715, mean_absolute_error: 0.2098, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8761, predictive_accuracy: 0.8763, prior_entropy: 0.9835, recall: 0.8763, relative_absolute_error: 0.4293, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3036, root_relative_squared_error: 0.6143, scimark_benchmark: 1815.1723, usercpu_time_millis: 79.21, usercpu_time_millis_testing: 2.808, usercpu_time_millis_training: 76.402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7929, f_measure: 0.7482, kappa: 0.4832, kb_relative_information_score: 11492.7618, mean_absolute_error: 0.3848, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7649, predictive_accuracy: 0.7571, prior_entropy: 0.9835, recall: 0.7571, relative_absolute_error: 0.7874, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4266, root_relative_squared_error: 0.8631, scimark_benchmark: 1839.6694, usercpu_time_millis: 80.273, usercpu_time_millis_testing: 10.655, usercpu_time_millis_training: 69.618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8265, f_measure: 0.7486, kappa: 0.484, kb_relative_information_score: 14966.1115, mean_absolute_error: 0.3428, 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: 0.7015, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4105, root_relative_squared_error: 0.8305, scimark_benchmark: 1858.6775, usercpu_time_millis: 72.773, usercpu_time_millis_testing: 4.912, usercpu_time_millis_training: 67.861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8078, f_measure: 0.7456, kappa: 0.4798, kb_relative_information_score: 7564.7436, mean_absolute_error: 0.4238, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7724, predictive_accuracy: 0.7575, prior_entropy: 0.9835, recall: 0.7575, relative_absolute_error: 0.8674, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4404, root_relative_squared_error: 0.891, scimark_benchmark: 1855.5541, usercpu_time_millis: 93.191, usercpu_time_millis_testing: 11.474, usercpu_time_millis_training: 81.717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8518, f_measure: 0.7618, kappa: 0.5113, kb_relative_information_score: 12566.4477, mean_absolute_error: 0.3731, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7807, predictive_accuracy: 0.7705, prior_entropy: 0.9835, recall: 0.7705, relative_absolute_error: 0.7636, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4079, root_relative_squared_error: 0.8253, scimark_benchmark: 1846.8201, usercpu_time_millis: 93.937, usercpu_time_millis_testing: 13.311, usercpu_time_millis_training: 80.626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7964, f_measure: 0.7486, kappa: 0.484, kb_relative_information_score: 13030.2054, mean_absolute_error: 0.3678, 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: 0.7528, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4234, root_relative_squared_error: 0.8567, scimark_benchmark: 1851.3287, usercpu_time_millis: 89.395, usercpu_time_millis_testing: 10.523, usercpu_time_millis_training: 78.872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8663, f_measure: 0.7676, kappa: 0.5225, kb_relative_information_score: 16581.4786, mean_absolute_error: 0.3272, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7819, predictive_accuracy: 0.7748, prior_entropy: 0.9835, recall: 0.7748, relative_absolute_error: 0.6695, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3891, root_relative_squared_error: 0.7872, scimark_benchmark: 1747.2702, usercpu_time_millis: 83.978, usercpu_time_millis_testing: 8.586, usercpu_time_millis_training: 75.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8344, f_measure: 0.7524, kappa: 0.4914, kb_relative_information_score: 13895.0616, mean_absolute_error: 0.3568, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7674, predictive_accuracy: 0.7605, prior_entropy: 0.9835, recall: 0.7605, relative_absolute_error: 0.7303, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4106, root_relative_squared_error: 0.8308, scimark_benchmark: 1852.4707, usercpu_time_millis: 115.719, usercpu_time_millis_testing: 9.324, usercpu_time_millis_training: 106.395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: -0.5736, 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: 1848.2615, usercpu_time_millis: 69.463, usercpu_time_millis_testing: 5.628, usercpu_time_millis_training: 63.835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8573, f_measure: 0.7574, kappa: 0.5021, kb_relative_information_score: 15439.9886, mean_absolute_error: 0.3402, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.775, predictive_accuracy: 0.766, prior_entropy: 0.9835, recall: 0.766, relative_absolute_error: 0.6963, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3967, root_relative_squared_error: 0.8026, scimark_benchmark: 1836.4808, usercpu_time_millis: 99.311, usercpu_time_millis_testing: 9.6, usercpu_time_millis_training: 89.711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8969, f_measure: 0.8164, kappa: 0.6233, kb_relative_information_score: 21298.0331, mean_absolute_error: 0.2733, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8163, predictive_accuracy: 0.8169, prior_entropy: 0.9835, recall: 0.8169, relative_absolute_error: 0.5593, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3592, root_relative_squared_error: 0.7268, scimark_benchmark: 1849.9572, usercpu_time_millis: 98.171, usercpu_time_millis_testing: 3.511, usercpu_time_millis_training: 94.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8539, f_measure: 0.7633, kappa: 0.5142, kb_relative_information_score: 12740.7837, mean_absolute_error: 0.3713, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7817, predictive_accuracy: 0.7718, prior_entropy: 0.9835, recall: 0.7718, relative_absolute_error: 0.7599, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4067, root_relative_squared_error: 0.8229, scimark_benchmark: 1820.2332, usercpu_time_millis: 98.674, usercpu_time_millis_testing: 11.258, usercpu_time_millis_training: 87.416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8164, f_measure: 0.7487, kappa: 0.4842, kb_relative_information_score: 14230.7146, mean_absolute_error: 0.3517, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7659, predictive_accuracy: 0.7577, prior_entropy: 0.9835, recall: 0.7577, relative_absolute_error: 0.7198, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.416, root_relative_squared_error: 0.8417, scimark_benchmark: 1849.7595, usercpu_time_millis: 63.255, usercpu_time_millis_testing: 7.845, usercpu_time_millis_training: 55.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8698, f_measure: 0.7951, kappa: 0.5789, kb_relative_information_score: 18380.4321, mean_absolute_error: 0.306, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7959, predictive_accuracy: 0.7966, prior_entropy: 0.9835, recall: 0.7966, relative_absolute_error: 0.6264, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.7703, scimark_benchmark: 1850.5803, usercpu_time_millis: 110.183, usercpu_time_millis_testing: 6.406, usercpu_time_millis_training: 103.777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8558, f_measure: 0.7648, kappa: 0.5172, kb_relative_information_score: 13028.5643, mean_absolute_error: 0.3681, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7827, predictive_accuracy: 0.7731, prior_entropy: 0.9835, recall: 0.7731, relative_absolute_error: 0.7534, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4048, root_relative_squared_error: 0.819, scimark_benchmark: 1856.7109, usercpu_time_millis: 88.063, usercpu_time_millis_testing: 12.132, usercpu_time_millis_training: 75.931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.844, f_measure: 0.7565, kappa: 0.5002, kb_relative_information_score: 13130.0725, mean_absolute_error: 0.3666, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7746, predictive_accuracy: 0.7653, prior_entropy: 0.9835, recall: 0.7653, relative_absolute_error: 0.7504, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4083, root_relative_squared_error: 0.826, scimark_benchmark: 1849.3742, usercpu_time_millis: 70.502, usercpu_time_millis_testing: 7.869, usercpu_time_millis_training: 62.633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8452, f_measure: 0.753, kappa: 0.4926, kb_relative_information_score: 15493.7496, mean_absolute_error: 0.3374, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7684, predictive_accuracy: 0.7612, prior_entropy: 0.9835, recall: 0.7612, relative_absolute_error: 0.6906, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4038, root_relative_squared_error: 0.817, scimark_benchmark: 1845.7835, usercpu_time_millis: 102.417, usercpu_time_millis_testing: 9.132, usercpu_time_millis_training: 93.285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.89, f_measure: 0.8127, kappa: 0.616, kb_relative_information_score: 20971.523, mean_absolute_error: 0.2765, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8126, predictive_accuracy: 0.8131, prior_entropy: 0.9835, recall: 0.8131, relative_absolute_error: 0.5659, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3642, root_relative_squared_error: 0.7369, scimark_benchmark: 1839.0518, usercpu_time_millis: 85.514, usercpu_time_millis_testing: 2.706, usercpu_time_millis_training: 82.808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.857, f_measure: 0.7583, kappa: 0.504, kb_relative_information_score: 14573.4498, mean_absolute_error: 0.3504, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7761, predictive_accuracy: 0.7669, prior_entropy: 0.9835, recall: 0.7669, relative_absolute_error: 0.7172, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3996, root_relative_squared_error: 0.8084, scimark_benchmark: 1734.5659, usercpu_time_millis: 74.965, usercpu_time_millis_testing: 9.189, usercpu_time_millis_training: 65.776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9693, f_measure: 0.906, kappa: 0.8074, kb_relative_information_score: 30063.8217, mean_absolute_error: 0.1794, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9059, predictive_accuracy: 0.9061, prior_entropy: 0.9835, recall: 0.9061, relative_absolute_error: 0.3671, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2691, root_relative_squared_error: 0.5443, scimark_benchmark: 1847.8629, usercpu_time_millis: 54.006, usercpu_time_millis_testing: 3.134, usercpu_time_millis_training: 50.872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8758, f_measure: 0.8001, kappa: 0.5896, kb_relative_information_score: 19120.9681, mean_absolute_error: 0.2979, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8002, predictive_accuracy: 0.801, prior_entropy: 0.9835, recall: 0.801, relative_absolute_error: 0.6096, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3758, root_relative_squared_error: 0.7603, scimark_benchmark: 1852.9988, usercpu_time_millis: 55.979, usercpu_time_millis_testing: 2.78, usercpu_time_millis_training: 53.199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8767, f_measure: 0.7883, kappa: 0.5643, kb_relative_information_score: 15593.1631, mean_absolute_error: 0.3405, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7981, predictive_accuracy: 0.7932, prior_entropy: 0.9835, recall: 0.7932, relative_absolute_error: 0.6969, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3873, root_relative_squared_error: 0.7836, scimark_benchmark: 1855.4813, usercpu_time_millis: 68.209, usercpu_time_millis_testing: 5.23, usercpu_time_millis_training: 62.979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8092, f_measure: 0.749, kappa: 0.4849, kb_relative_information_score: 12909.7026, mean_absolute_error: 0.3689, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7662, predictive_accuracy: 0.758, prior_entropy: 0.9835, recall: 0.758, relative_absolute_error: 0.7551, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4188, root_relative_squared_error: 0.8473, scimark_benchmark: 1744.051, usercpu_time_millis: 66.765, usercpu_time_millis_testing: 4.382, usercpu_time_millis_training: 62.383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.7529, kappa: 0.4939, kb_relative_information_score: 10123.174, mean_absolute_error: 0.3988, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7758, predictive_accuracy: 0.7633, prior_entropy: 0.9835, recall: 0.7633, relative_absolute_error: 0.8162, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4236, root_relative_squared_error: 0.8571, scimark_benchmark: 1849.3014, usercpu_time_millis: 104.518, usercpu_time_millis_testing: 13.821, usercpu_time_millis_training: 90.697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7964, f_measure: 0.7486, kappa: 0.484, kb_relative_information_score: 13026.8224, mean_absolute_error: 0.3679, 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: 0.7529, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4234, root_relative_squared_error: 0.8566, scimark_benchmark: 1854.568, usercpu_time_millis: 50.554, usercpu_time_millis_testing: 6.09, usercpu_time_millis_training: 44.464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8239, f_measure: 0.7506, kappa: 0.488, kb_relative_information_score: 13108.5974, mean_absolute_error: 0.3657, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7674, predictive_accuracy: 0.7594, prior_entropy: 0.9835, recall: 0.7594, relative_absolute_error: 0.7483, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4141, root_relative_squared_error: 0.8378, scimark_benchmark: 1850.2875, usercpu_time_millis: 51.851, usercpu_time_millis_testing: 2.991, usercpu_time_millis_training: 48.86,

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