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: 0.854, f_measure: 0.7668, kappa: 0.5203, kb_relative_information_score: 16936.999, mean_absolute_error: 0.3215, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7771, predictive_accuracy: 0.7727, prior_entropy: 0.9835, recall: 0.7727, relative_absolute_error: 0.6579, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3931, root_relative_squared_error: 0.7952, scimark_benchmark: 1852.4278, usercpu_time_millis: 100.029, usercpu_time_millis_testing: 10.204, usercpu_time_millis_training: 89.825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8891, f_measure: 0.8098, kappa: 0.6086, kb_relative_information_score: 19430.2575, mean_absolute_error: 0.2953, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8123, predictive_accuracy: 0.8119, prior_entropy: 0.9835, recall: 0.8119, relative_absolute_error: 0.6043, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3684, root_relative_squared_error: 0.7454, scimark_benchmark: 1842.6679, usercpu_time_millis: 136.423, usercpu_time_millis_testing: 9.102, usercpu_time_millis_training: 127.321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8478, f_measure: 0.7551, kappa: 0.4968, kb_relative_information_score: 15600.4229, mean_absolute_error: 0.337, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7698, predictive_accuracy: 0.763, prior_entropy: 0.9835, recall: 0.763, relative_absolute_error: 0.6897, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.401, root_relative_squared_error: 0.8113, scimark_benchmark: 1848.321, usercpu_time_millis: 126.947, usercpu_time_millis_testing: 11.094, usercpu_time_millis_training: 115.853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9343, f_measure: 0.8532, kappa: 0.6988, kb_relative_information_score: 25329.0998, mean_absolute_error: 0.2291, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8532, predictive_accuracy: 0.8535, prior_entropy: 0.9835, recall: 0.8535, relative_absolute_error: 0.4689, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3221, root_relative_squared_error: 0.6517, scimark_benchmark: 1854.4951, usercpu_time_millis: 124.194, usercpu_time_millis_testing: 3.066, usercpu_time_millis_training: 121.128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8283, f_measure: 0.7485, kappa: 0.4837, kb_relative_information_score: 14963.9704, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7649, predictive_accuracy: 0.7573, prior_entropy: 0.9835, recall: 0.7573, relative_absolute_error: 0.7015, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4101, root_relative_squared_error: 0.8297, scimark_benchmark: 1814.1578, usercpu_time_millis: 102.29, usercpu_time_millis_testing: 6.062, usercpu_time_millis_training: 96.228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.87, f_measure: 0.7775, kappa: 0.5423, kb_relative_information_score: 17239.5583, mean_absolute_error: 0.3197, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7882, predictive_accuracy: 0.7831, prior_entropy: 0.9835, recall: 0.7831, relative_absolute_error: 0.6542, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3849, root_relative_squared_error: 0.7786, scimark_benchmark: 1832.0698, usercpu_time_millis: 94.445, usercpu_time_millis_testing: 6.659, usercpu_time_millis_training: 87.786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8833, f_measure: 0.8061, kappa: 0.6023, kb_relative_information_score: 19874.7316, mean_absolute_error: 0.2893, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8061, predictive_accuracy: 0.8068, prior_entropy: 0.9835, recall: 0.8068, relative_absolute_error: 0.5921, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3702, root_relative_squared_error: 0.7489, scimark_benchmark: 1845.7061, usercpu_time_millis: 131.817, usercpu_time_millis_testing: 5.926, usercpu_time_millis_training: 125.891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7886, f_measure: 0.7446, kappa: 0.4781, kb_relative_information_score: 6748.7227, mean_absolute_error: 0.4317, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7731, predictive_accuracy: 0.757, prior_entropy: 0.9835, recall: 0.757, relative_absolute_error: 0.8835, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.446, root_relative_squared_error: 0.9024, scimark_benchmark: 1849.7595, usercpu_time_millis: 80.442, usercpu_time_millis_testing: 10.709, usercpu_time_millis_training: 69.733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9095, f_measure: 0.8262, kappa: 0.6434, kb_relative_information_score: 22795.6776, mean_absolute_error: 0.2558, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8262, predictive_accuracy: 0.8267, prior_entropy: 0.9835, recall: 0.8267, relative_absolute_error: 0.5235, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.348, root_relative_squared_error: 0.7041, scimark_benchmark: 1850.2875, usercpu_time_millis: 87.548, usercpu_time_millis_testing: 2.694, usercpu_time_millis_training: 84.854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9515, f_measure: 0.8794, kappa: 0.7529, kb_relative_information_score: 27900.6467, mean_absolute_error: 0.2009, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8794, predictive_accuracy: 0.8795, prior_entropy: 0.9835, recall: 0.8795, relative_absolute_error: 0.4112, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2982, root_relative_squared_error: 0.6033, scimark_benchmark: 1849.8294, usercpu_time_millis: 53.095, usercpu_time_millis_testing: 1.218, usercpu_time_millis_training: 51.877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: -1.1475, 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: 1855.0232, usercpu_time_millis: 88.861, usercpu_time_millis_testing: 9.693, usercpu_time_millis_training: 79.168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8884, f_measure: 0.8021, kappa: 0.5927, kb_relative_information_score: 18707.9773, mean_absolute_error: 0.3043, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8066, predictive_accuracy: 0.805, prior_entropy: 0.9835, recall: 0.805, relative_absolute_error: 0.6227, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3709, root_relative_squared_error: 0.7504, scimark_benchmark: 1856.0123, usercpu_time_millis: 84.266, usercpu_time_millis_testing: 8.14, usercpu_time_millis_training: 76.126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8824, f_measure: 0.8057, kappa: 0.6013, kb_relative_information_score: 19840.3029, mean_absolute_error: 0.2897, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8057, predictive_accuracy: 0.8064, prior_entropy: 0.9835, recall: 0.8064, relative_absolute_error: 0.5929, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3707, root_relative_squared_error: 0.7499, scimark_benchmark: 1715.6446, usercpu_time_millis: 124.469, usercpu_time_millis_testing: 5.391, usercpu_time_millis_training: 119.078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9673, f_measure: 0.9046, kappa: 0.8048, kb_relative_information_score: 29931.4298, mean_absolute_error: 0.1803, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9046, predictive_accuracy: 0.9047, prior_entropy: 0.9835, recall: 0.9047, relative_absolute_error: 0.3691, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2723, root_relative_squared_error: 0.551, scimark_benchmark: 1853.3841, usercpu_time_millis: 86.202, usercpu_time_millis_testing: 3.59, usercpu_time_millis_training: 82.612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8361, f_measure: 0.7523, kappa: 0.4912, kb_relative_information_score: 13970.5713, mean_absolute_error: 0.356, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7669, predictive_accuracy: 0.7603, prior_entropy: 0.9835, recall: 0.7603, relative_absolute_error: 0.7286, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4101, root_relative_squared_error: 0.8296, scimark_benchmark: 1841.1577, usercpu_time_millis: 125.283, usercpu_time_millis_testing: 9.234, usercpu_time_millis_training: 116.049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.9089, kappa: 0.8133, kb_relative_information_score: 30405.7625, mean_absolute_error: 0.1756, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9088, predictive_accuracy: 0.909, prior_entropy: 0.9835, recall: 0.909, relative_absolute_error: 0.3594, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2654, root_relative_squared_error: 0.537, scimark_benchmark: 1853.454, usercpu_time_millis: 77.197, usercpu_time_millis_testing: 3.419, usercpu_time_millis_training: 73.778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.8996, kappa: 0.7943, kb_relative_information_score: 29572.0524, mean_absolute_error: 0.1841, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8995, predictive_accuracy: 0.8996, prior_entropy: 0.9835, recall: 0.8996, relative_absolute_error: 0.3768, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2766, root_relative_squared_error: 0.5596, scimark_benchmark: 1828.686, usercpu_time_millis: 106.224, usercpu_time_millis_testing: 4.252, usercpu_time_millis_training: 101.972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8691, f_measure: 0.7713, kappa: 0.53, kb_relative_information_score: 16209.4704, mean_absolute_error: 0.332, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7852, predictive_accuracy: 0.7782, prior_entropy: 0.9835, recall: 0.7782, relative_absolute_error: 0.6794, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3888, root_relative_squared_error: 0.7866, scimark_benchmark: 1828.6161, usercpu_time_millis: 125.081, usercpu_time_millis_testing: 11.077, usercpu_time_millis_training: 114.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8691, f_measure: 0.7793, kappa: 0.5463, kb_relative_information_score: 14645.5417, mean_absolute_error: 0.3507, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7923, predictive_accuracy: 0.7856, prior_entropy: 0.9835, recall: 0.7856, relative_absolute_error: 0.7178, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3939, root_relative_squared_error: 0.797, scimark_benchmark: 1855.5541, usercpu_time_millis: 101.354, usercpu_time_millis_testing: 11.942, usercpu_time_millis_training: 89.412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9041, f_measure: 0.8214, kappa: 0.6328, kb_relative_information_score: 20536.6899, mean_absolute_error: 0.2842, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8229, predictive_accuracy: 0.8229, prior_entropy: 0.9835, recall: 0.8229, relative_absolute_error: 0.5817, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3567, root_relative_squared_error: 0.7216, scimark_benchmark: 1825.7178, usercpu_time_millis: 119.369, usercpu_time_millis_testing: 9.044, usercpu_time_millis_training: 110.325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8135, f_measure: 0.7486, kappa: 0.484, kb_relative_information_score: 15056.0924, 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: 0.4114, root_relative_squared_error: 0.8323, scimark_benchmark: 1847.8629, usercpu_time_millis: 115.105, usercpu_time_millis_testing: 7.499, usercpu_time_millis_training: 107.606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7862, f_measure: 0.6319, kappa: 0.2825, kb_relative_information_score: 4352.7769, mean_absolute_error: 0.4532, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7412, predictive_accuracy: 0.6799, prior_entropy: 0.9835, recall: 0.6799, relative_absolute_error: 0.9276, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4623, root_relative_squared_error: 0.9353, scimark_benchmark: 1853.9121, usercpu_time_millis: 66.321, usercpu_time_millis_testing: 10.434, usercpu_time_millis_training: 55.887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8763, f_measure: 0.7837, kappa: 0.555, kb_relative_information_score: 17225.7434, mean_absolute_error: 0.3206, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7934, predictive_accuracy: 0.7888, prior_entropy: 0.9835, recall: 0.7888, relative_absolute_error: 0.6561, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.382, root_relative_squared_error: 0.7728, scimark_benchmark: 1851.8567, usercpu_time_millis: 99.413, usercpu_time_millis_testing: 7.797, usercpu_time_millis_training: 91.616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9655, f_measure: 0.9001, kappa: 0.7955, kb_relative_information_score: 29612.1108, mean_absolute_error: 0.1837, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9001, predictive_accuracy: 0.9002, prior_entropy: 0.9835, recall: 0.9002, relative_absolute_error: 0.376, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2759, root_relative_squared_error: 0.5582, scimark_benchmark: 1852.3877, usercpu_time_millis: 95.592, usercpu_time_millis_testing: 4.093, usercpu_time_millis_training: 91.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8616, f_measure: 0.7775, kappa: 0.5421, kb_relative_information_score: 17595.1442, mean_absolute_error: 0.3151, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7852, predictive_accuracy: 0.7822, prior_entropy: 0.9835, recall: 0.7822, relative_absolute_error: 0.6449, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3869, root_relative_squared_error: 0.7828, scimark_benchmark: 1853.9121, usercpu_time_millis: 58.922, usercpu_time_millis_testing: 2.781, usercpu_time_millis_training: 56.141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: -0.8522, 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: 1837.2609, usercpu_time_millis: 89.129, usercpu_time_millis_testing: 9.391, usercpu_time_millis_training: 79.738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8917, f_measure: 0.8128, kappa: 0.616, kb_relative_information_score: 20875.1872, mean_absolute_error: 0.278, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8128, predictive_accuracy: 0.8134, prior_entropy: 0.9835, recall: 0.8134, relative_absolute_error: 0.5689, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3632, root_relative_squared_error: 0.7348, scimark_benchmark: 1841.1108, usercpu_time_millis: 75.369, usercpu_time_millis_testing: 5.658, usercpu_time_millis_training: 69.711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8628, f_measure: 0.7629, kappa: 0.5131, kb_relative_information_score: 15331.0654, mean_absolute_error: 0.3419, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.779, predictive_accuracy: 0.7708, prior_entropy: 0.9835, recall: 0.7708, relative_absolute_error: 0.6997, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3945, root_relative_squared_error: 0.7981, scimark_benchmark: 1858.2223, usercpu_time_millis: 104.655, usercpu_time_millis_testing: 11.934, usercpu_time_millis_training: 92.721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: -0.0861, 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: 1791.6284, usercpu_time_millis: 33.564, usercpu_time_millis_testing: 5.7, usercpu_time_millis_training: 27.864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8866, f_measure: 0.8105, kappa: 0.6115, kb_relative_information_score: 20806.301, mean_absolute_error: 0.2781, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8104, predictive_accuracy: 0.8109, prior_entropy: 0.9835, recall: 0.8109, relative_absolute_error: 0.5693, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3667, root_relative_squared_error: 0.742, scimark_benchmark: 1847.8629, usercpu_time_millis: 100.702, usercpu_time_millis_testing: 3.423, usercpu_time_millis_training: 97.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: -1.5156, 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: 1845.7794, usercpu_time_millis: 85.239, usercpu_time_millis_testing: 7.23, usercpu_time_millis_training: 78.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9578, f_measure: 0.8868, kappa: 0.768, kb_relative_information_score: 27946.6942, mean_absolute_error: 0.2023, 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: 0.4141, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2912, root_relative_squared_error: 0.5892, scimark_benchmark: 1854.568, usercpu_time_millis: 53.455, usercpu_time_millis_testing: 1.933, usercpu_time_millis_training: 51.522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: -0.6604, 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: 59.502, usercpu_time_millis_testing: 5.507, usercpu_time_millis_training: 53.995,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8652, f_measure: 0.7823, kappa: 0.552, kb_relative_information_score: 17707.1242, mean_absolute_error: 0.314, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7886, predictive_accuracy: 0.7864, prior_entropy: 0.9835, recall: 0.7864, relative_absolute_error: 0.6427, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3848, root_relative_squared_error: 0.7786, scimark_benchmark: 1846.6923, usercpu_time_millis: 82.808, usercpu_time_millis_testing: 5.198, usercpu_time_millis_training: 77.61,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8841, f_measure: 0.8091, kappa: 0.6075, kb_relative_information_score: 19349.62, mean_absolute_error: 0.2956, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.81, predictive_accuracy: 0.8104, prior_entropy: 0.9835, recall: 0.8104, relative_absolute_error: 0.605, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3712, root_relative_squared_error: 0.7509, scimark_benchmark: 1821.115, usercpu_time_millis: 65.404, usercpu_time_millis_testing: 3.553, usercpu_time_millis_training: 61.851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9096, f_measure: 0.8255, kappa: 0.6419, kb_relative_information_score: 22670.984, mean_absolute_error: 0.2576, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8256, predictive_accuracy: 0.8262, prior_entropy: 0.9835, recall: 0.8262, relative_absolute_error: 0.5271, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.348, root_relative_squared_error: 0.7041, scimark_benchmark: 1855.4813, usercpu_time_millis: 19.785, usercpu_time_millis_testing: 0.523, usercpu_time_millis_training: 19.262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.4204, kb_relative_information_score: 1.5302, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1857.5664, usercpu_time_millis: 14.901, usercpu_time_millis_testing: 1.844, usercpu_time_millis_training: 13.057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: -0.0439, 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: 1853.9121, usercpu_time_millis: 31.848, usercpu_time_millis_testing: 5.397, usercpu_time_millis_training: 26.451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: 0.6745, 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: 1841.7546, usercpu_time_millis: 24.901, usercpu_time_millis_testing: 1.184, usercpu_time_millis_training: 23.717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7948, f_measure: 0.7487, kappa: 0.4843, kb_relative_information_score: 9528.4216, mean_absolute_error: 0.4051, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7663, predictive_accuracy: 0.7578, prior_entropy: 0.9835, recall: 0.7578, relative_absolute_error: 0.8291, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4311, root_relative_squared_error: 0.8721, scimark_benchmark: 1825.7178, usercpu_time_millis: 47.373, usercpu_time_millis_testing: 3.162, usercpu_time_millis_training: 44.211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: -0.7747, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1843.1261, usercpu_time_millis: 52.686, usercpu_time_millis_testing: 4.926, usercpu_time_millis_training: 47.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: -0.1902, 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: 34.346, usercpu_time_millis_testing: 6.521, usercpu_time_millis_training: 27.825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7937, f_measure: 0.7489, kappa: 0.4846, kb_relative_information_score: 9635.578, mean_absolute_error: 0.4041, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7657, predictive_accuracy: 0.7578, prior_entropy: 0.9835, recall: 0.7578, relative_absolute_error: 0.8269, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4307, root_relative_squared_error: 0.8715, scimark_benchmark: 1832.0698, usercpu_time_millis: 38.116, usercpu_time_millis_testing: 4.16, usercpu_time_millis_training: 33.956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8528, f_measure: 0.7564, kappa: 0.5001, kb_relative_information_score: 14188.1599, mean_absolute_error: 0.3547, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7747, predictive_accuracy: 0.7652, prior_entropy: 0.9835, recall: 0.7652, relative_absolute_error: 0.726, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4022, root_relative_squared_error: 0.8138, scimark_benchmark: 1846.2342, usercpu_time_millis: 11.796, usercpu_time_millis_testing: 0.795, usercpu_time_millis_training: 11.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9739, f_measure: 0.917, kappa: 0.83, kb_relative_information_score: 32741.0205, mean_absolute_error: 0.1466, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.917, predictive_accuracy: 0.917, prior_entropy: 0.9835, recall: 0.917, relative_absolute_error: 0.3, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2513, root_relative_squared_error: 0.5085, scimark_benchmark: 1824.2764, usercpu_time_millis: 24.238, usercpu_time_millis_testing: 0.681, usercpu_time_millis_training: 23.557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.9003, kappa: 0.7958, kb_relative_information_score: 29758.8376, mean_absolute_error: 0.1821, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9003, predictive_accuracy: 0.9004, prior_entropy: 0.9835, recall: 0.9004, relative_absolute_error: 0.3726, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2743, root_relative_squared_error: 0.5549, scimark_benchmark: 1852.9259, usercpu_time_millis: 34.023, usercpu_time_millis_testing: 1.411, usercpu_time_millis_training: 32.612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8667, f_measure: 0.7687, kappa: 0.5248, kb_relative_information_score: 15942.678, mean_absolute_error: 0.335, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.783, predictive_accuracy: 0.7758, prior_entropy: 0.9835, recall: 0.7758, relative_absolute_error: 0.6857, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3907, root_relative_squared_error: 0.7904, scimark_benchmark: 1852.9259, usercpu_time_millis: 27.073, usercpu_time_millis_testing: 1.597, usercpu_time_millis_training: 25.476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9149, f_measure: 0.8444, kappa: 0.6827, kb_relative_information_score: 26716.9075, mean_absolute_error: 0.2076, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8455, predictive_accuracy: 0.844, prior_entropy: 0.9835, recall: 0.844, relative_absolute_error: 0.4248, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3361, root_relative_squared_error: 0.68, scimark_benchmark: 1850.9434, usercpu_time_millis: 2.313, usercpu_time_millis_testing: 0.127, usercpu_time_millis_training: 2.186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8003, f_measure: 0.7484, kappa: 0.4836, kb_relative_information_score: 13084.0974, mean_absolute_error: 0.3671, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7657, predictive_accuracy: 0.7574, prior_entropy: 0.9835, recall: 0.7574, relative_absolute_error: 0.7512, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4222, root_relative_squared_error: 0.8541, scimark_benchmark: 1853.454, usercpu_time_millis: 6.61, usercpu_time_millis_testing: 0.59, usercpu_time_millis_training: 6.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: -2.5763, 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: 1837.6484, usercpu_time_millis: 15.202, usercpu_time_millis_testing: 0.75, usercpu_time_millis_training: 14.452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8042, f_measure: 0.7517, kappa: 0.4909, kb_relative_information_score: 11124.525, mean_absolute_error: 0.3883, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7716, predictive_accuracy: 0.7613, prior_entropy: 0.9835, recall: 0.7613, relative_absolute_error: 0.7947, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4223, root_relative_squared_error: 0.8543, scimark_benchmark: 1852.5406, usercpu_time_millis: 39.022, usercpu_time_millis_testing: 5.157, usercpu_time_millis_training: 33.865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: 0.4412, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1857.1082, usercpu_time_millis: 17.535, usercpu_time_millis_testing: 2.558, usercpu_time_millis_training: 14.977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.8312, kappa: 0.653, kb_relative_information_score: 19780.7712, mean_absolute_error: 0.2958, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8328, predictive_accuracy: 0.8326, prior_entropy: 0.9835, recall: 0.8326, relative_absolute_error: 0.6054, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3543, root_relative_squared_error: 0.7168, scimark_benchmark: 1850.2875, usercpu_time_millis: 34.61, usercpu_time_millis_testing: 3.257, usercpu_time_millis_training: 31.353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8462, f_measure: 0.7578, kappa: 0.5023, kb_relative_information_score: 15986.1744, mean_absolute_error: 0.3324, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7711, predictive_accuracy: 0.7651, prior_entropy: 0.9835, recall: 0.7651, relative_absolute_error: 0.6804, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4003, root_relative_squared_error: 0.8099, scimark_benchmark: 1847.8629, usercpu_time_millis: 33.717, usercpu_time_millis_testing: 1.597, usercpu_time_millis_training: 32.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8475, f_measure: 0.7579, kappa: 0.5033, kb_relative_information_score: 13898.4637, mean_absolute_error: 0.3581, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7767, predictive_accuracy: 0.7668, prior_entropy: 0.9835, recall: 0.7668, relative_absolute_error: 0.7328, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4041, root_relative_squared_error: 0.8175, scimark_benchmark: 1853.9849, usercpu_time_millis: 3.968, usercpu_time_millis_testing: 0.218, usercpu_time_millis_training: 3.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8984, f_measure: 0.8168, kappa: 0.623, kb_relative_information_score: 18324.6278, mean_absolute_error: 0.311, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8198, predictive_accuracy: 0.8189, prior_entropy: 0.9835, recall: 0.8189, relative_absolute_error: 0.6365, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3671, root_relative_squared_error: 0.7428, scimark_benchmark: 1839.5885, usercpu_time_millis: 14.061, usercpu_time_millis_testing: 1.221, usercpu_time_millis_training: 12.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9567, f_measure: 0.8863, kappa: 0.767, kb_relative_information_score: 28063.082, mean_absolute_error: 0.2006, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8862, predictive_accuracy: 0.8864, prior_entropy: 0.9835, recall: 0.8864, relative_absolute_error: 0.4105, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2919, root_relative_squared_error: 0.5906, scimark_benchmark: 1850.2875, usercpu_time_millis: 35.649, usercpu_time_millis_testing: 1.34, usercpu_time_millis_training: 34.309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7948, f_measure: 0.7484, kappa: 0.4837, kb_relative_information_score: 13135.5796, mean_absolute_error: 0.3663, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.766, predictive_accuracy: 0.7575, prior_entropy: 0.9835, recall: 0.7575, relative_absolute_error: 0.7497, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4212, root_relative_squared_error: 0.8521, scimark_benchmark: 1853.0716, usercpu_time_millis: 1.765, usercpu_time_millis_testing: 0.137, usercpu_time_millis_training: 1.628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8239, f_measure: 0.7539, kappa: 0.4949, kb_relative_information_score: 12697.0495, mean_absolute_error: 0.3707, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7707, predictive_accuracy: 0.7625, prior_entropy: 0.9835, recall: 0.7625, relative_absolute_error: 0.7587, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4145, root_relative_squared_error: 0.8387, scimark_benchmark: 1826.8288, usercpu_time_millis: 41.71, usercpu_time_millis_testing: 3.779, usercpu_time_millis_training: 37.931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8435, f_measure: 0.7564, kappa: 0.5002, kb_relative_information_score: 13058.6152, mean_absolute_error: 0.3673, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7751, predictive_accuracy: 0.7654, prior_entropy: 0.9835, recall: 0.7654, relative_absolute_error: 0.7517, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4085, root_relative_squared_error: 0.8265, scimark_benchmark: 1843.1261, usercpu_time_millis: 9.851, usercpu_time_millis_testing: 0.93, usercpu_time_millis_training: 8.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: 0.8119, 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: 1833.3265, usercpu_time_millis: 23.195, usercpu_time_millis_testing: 3.915, usercpu_time_millis_training: 19.28,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.878, f_measure: 0.8014, kappa: 0.5924, kb_relative_information_score: 19320.3082, mean_absolute_error: 0.2955, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8015, predictive_accuracy: 0.8023, prior_entropy: 0.9835, recall: 0.8023, relative_absolute_error: 0.6047, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3744, root_relative_squared_error: 0.7576, scimark_benchmark: 1847.7988, usercpu_time_millis: 35.278, usercpu_time_millis_testing: 1.338, usercpu_time_millis_training: 33.94,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: -0.2007, 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: 25.553, usercpu_time_millis_testing: 1.291, usercpu_time_millis_training: 24.262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8275, f_measure: 0.7485, kappa: 0.4838, kb_relative_information_score: 14967.0656, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.765, predictive_accuracy: 0.7573, prior_entropy: 0.9835, recall: 0.7573, relative_absolute_error: 0.7015, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.41, root_relative_squared_error: 0.8295, scimark_benchmark: 1854.4951, usercpu_time_millis: 23.278, usercpu_time_millis_testing: 1.241, usercpu_time_millis_training: 22.037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8825, f_measure: 0.8061, kappa: 0.6013, kb_relative_information_score: 19310.6628, mean_absolute_error: 0.2959, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8071, predictive_accuracy: 0.8075, prior_entropy: 0.9835, recall: 0.8075, relative_absolute_error: 0.6057, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.372, root_relative_squared_error: 0.7527, scimark_benchmark: 1832.0698, usercpu_time_millis: 4.659, usercpu_time_millis_testing: 0.224, usercpu_time_millis_training: 4.435,

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