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: 0.7336, f_measure: 0.7486, kappa: 0.484, kb_relative_information_score: 13173.6505, mean_absolute_error: 0.366, 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: 0.7491, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4269, root_relative_squared_error: 0.8637, scimark_benchmark: 1813.1745, usercpu_time_millis: 137.865, usercpu_time_millis_testing: 11.421, usercpu_time_millis_training: 126.444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8507, f_measure: 0.757, kappa: 0.5014, kb_relative_information_score: 13739.861, mean_absolute_error: 0.3599, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7752, predictive_accuracy: 0.7658, prior_entropy: 0.9835, recall: 0.7658, relative_absolute_error: 0.7366, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4045, root_relative_squared_error: 0.8184, scimark_benchmark: 1841.2811, usercpu_time_millis: 142.264, usercpu_time_millis_testing: 12.819, usercpu_time_millis_training: 129.445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.7523, kappa: 0.4911, kb_relative_information_score: 14890.5914, mean_absolute_error: 0.3446, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7661, predictive_accuracy: 0.7601, prior_entropy: 0.9835, recall: 0.7601, relative_absolute_error: 0.7052, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4068, root_relative_squared_error: 0.8231, scimark_benchmark: 1837.1955, usercpu_time_millis: 130.482, usercpu_time_millis_testing: 10.545, usercpu_time_millis_training: 119.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: -1.5207, 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: 1850.3603, usercpu_time_millis: 94.406, usercpu_time_millis_testing: 6.951, usercpu_time_millis_training: 87.455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8445, f_measure: 0.7569, kappa: 0.5011, kb_relative_information_score: 13194.6895, mean_absolute_error: 0.366, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7744, predictive_accuracy: 0.7655, prior_entropy: 0.9835, recall: 0.7655, relative_absolute_error: 0.749, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4081, root_relative_squared_error: 0.8256, scimark_benchmark: 1841.2884, usercpu_time_millis: 110.422, usercpu_time_millis_testing: 10.396, usercpu_time_millis_training: 100.026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8776, f_measure: 0.7874, kappa: 0.5626, kb_relative_information_score: 15657.754, mean_absolute_error: 0.3398, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7973, predictive_accuracy: 0.7924, prior_entropy: 0.9835, recall: 0.7924, relative_absolute_error: 0.6955, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3868, root_relative_squared_error: 0.7825, scimark_benchmark: 1847.3482, usercpu_time_millis: 99.969, usercpu_time_millis_testing: 7.769, usercpu_time_millis_training: 92.2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9039, f_measure: 0.8223, kappa: 0.6351, kb_relative_information_score: 21403.1234, mean_absolute_error: 0.2731, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8227, predictive_accuracy: 0.8232, prior_entropy: 0.9835, recall: 0.8232, relative_absolute_error: 0.5589, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3544, root_relative_squared_error: 0.717, scimark_benchmark: 1853.5818, usercpu_time_millis: 137.316, usercpu_time_millis_testing: 12.14, usercpu_time_millis_training: 125.176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8941, f_measure: 0.8147, kappa: 0.619, kb_relative_information_score: 20013.9509, mean_absolute_error: 0.2889, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8163, predictive_accuracy: 0.8163, prior_entropy: 0.9835, recall: 0.8163, relative_absolute_error: 0.5913, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3639, root_relative_squared_error: 0.7362, scimark_benchmark: 1853.454, usercpu_time_millis: 228.255, usercpu_time_millis_testing: 18.96, usercpu_time_millis_training: 209.295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, f_measure: 0.7968, kappa: 0.5834, kb_relative_information_score: 18867.0059, mean_absolute_error: 0.3005, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7966, predictive_accuracy: 0.7973, prior_entropy: 0.9835, recall: 0.7973, relative_absolute_error: 0.6149, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3796, root_relative_squared_error: 0.7679, scimark_benchmark: 2142.491, usercpu_time_millis: 107.958, usercpu_time_millis_testing: 7.544, usercpu_time_millis_training: 100.414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8672, f_measure: 0.7881, kappa: 0.564, kb_relative_information_score: 17951.9912, mean_absolute_error: 0.311, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7912, predictive_accuracy: 0.7909, prior_entropy: 0.9835, recall: 0.7909, relative_absolute_error: 0.6365, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3831, root_relative_squared_error: 0.7751, scimark_benchmark: 1843.0021, usercpu_time_millis: 241.424, usercpu_time_millis_testing: 15.295, usercpu_time_millis_training: 226.129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8941, f_measure: 0.8119, kappa: 0.6129, kb_relative_information_score: 17665.8136, mean_absolute_error: 0.3182, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8158, predictive_accuracy: 0.8144, prior_entropy: 0.9835, recall: 0.8144, relative_absolute_error: 0.6512, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3718, root_relative_squared_error: 0.7523, scimark_benchmark: 1832.5979, usercpu_time_millis: 115.22, usercpu_time_millis_testing: 12.978, usercpu_time_millis_training: 102.242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.8509, kappa: 0.694, kb_relative_information_score: 24002.0943, mean_absolute_error: 0.2465, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8511, predictive_accuracy: 0.8515, prior_entropy: 0.9835, recall: 0.8515, relative_absolute_error: 0.5046, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3259, root_relative_squared_error: 0.6594, scimark_benchmark: 1965.0927, usercpu_time_millis: 115.643, usercpu_time_millis_testing: 7.216, usercpu_time_millis_training: 108.427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9397, f_measure: 0.8591, kappa: 0.7109, kb_relative_information_score: 24737.7549, mean_absolute_error: 0.2388, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8593, predictive_accuracy: 0.8596, prior_entropy: 0.9835, recall: 0.8596, relative_absolute_error: 0.4887, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3187, root_relative_squared_error: 0.6448, scimark_benchmark: 1836.1651, usercpu_time_millis: 161.769, usercpu_time_millis_testing: 10.157, usercpu_time_millis_training: 151.612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8881, f_measure: 0.8113, kappa: 0.6128, kb_relative_information_score: 20277.3068, mean_absolute_error: 0.2849, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8113, predictive_accuracy: 0.812, prior_entropy: 0.9835, recall: 0.812, relative_absolute_error: 0.5831, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.7416, scimark_benchmark: 1787.7253, usercpu_time_millis: 131.2, usercpu_time_millis_testing: 8.466, usercpu_time_millis_training: 122.734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8637, f_measure: 0.7713, kappa: 0.5294, kb_relative_information_score: 17034.4706, mean_absolute_error: 0.3217, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.78, predictive_accuracy: 0.7765, prior_entropy: 0.9835, recall: 0.7765, relative_absolute_error: 0.6584, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3882, root_relative_squared_error: 0.7855, scimark_benchmark: 1840.3077, usercpu_time_millis: 169.938, usercpu_time_millis_testing: 12.414, usercpu_time_millis_training: 157.524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.881, f_measure: 0.8027, kappa: 0.5951, kb_relative_information_score: 19719.3878, mean_absolute_error: 0.291, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8027, predictive_accuracy: 0.8034, prior_entropy: 0.9835, recall: 0.8034, relative_absolute_error: 0.5955, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.372, root_relative_squared_error: 0.7526, scimark_benchmark: 1832.1735, usercpu_time_millis: 147.385, usercpu_time_millis_testing: 10.922, usercpu_time_millis_training: 136.463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8737, f_measure: 0.7953, kappa: 0.5791, kb_relative_information_score: 18744.3914, mean_absolute_error: 0.3021, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7964, predictive_accuracy: 0.7969, prior_entropy: 0.9835, recall: 0.7969, relative_absolute_error: 0.6182, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3778, root_relative_squared_error: 0.7644, scimark_benchmark: 1840.1974, usercpu_time_millis: 164.272, usercpu_time_millis_testing: 12.57, usercpu_time_millis_training: 151.702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9399, f_measure: 0.8625, kappa: 0.7182, kb_relative_information_score: 26376.8503, mean_absolute_error: 0.2172, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8625, predictive_accuracy: 0.8627, prior_entropy: 0.9835, recall: 0.8627, relative_absolute_error: 0.4445, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3143, root_relative_squared_error: 0.6358, scimark_benchmark: 1777.3615, usercpu_time_millis: 220.603, usercpu_time_millis_testing: 6.824, usercpu_time_millis_training: 213.779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8889, f_measure: 0.8125, kappa: 0.6149, kb_relative_information_score: 20106.4461, mean_absolute_error: 0.287, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8129, predictive_accuracy: 0.8135, prior_entropy: 0.9835, recall: 0.8135, relative_absolute_error: 0.5874, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.7415, scimark_benchmark: 1839.2203, usercpu_time_millis: 128.382, usercpu_time_millis_testing: 9.741, usercpu_time_millis_training: 118.641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8893, f_measure: 0.8104, kappa: 0.61, kb_relative_information_score: 19479.6496, mean_absolute_error: 0.2948, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8126, predictive_accuracy: 0.8124, prior_entropy: 0.9835, recall: 0.8124, relative_absolute_error: 0.6033, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3681, root_relative_squared_error: 0.7447, scimark_benchmark: 1835.2001, usercpu_time_millis: 285.452, usercpu_time_millis_testing: 19.729, usercpu_time_millis_training: 265.723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9026, f_measure: 0.8182, kappa: 0.6269, kb_relative_information_score: 22034.3255, mean_absolute_error: 0.2645, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8182, predictive_accuracy: 0.8188, prior_entropy: 0.9835, recall: 0.8188, relative_absolute_error: 0.5413, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3543, root_relative_squared_error: 0.7168, scimark_benchmark: 1846.2342, usercpu_time_millis: 265.123, usercpu_time_millis_testing: 11.19, usercpu_time_millis_training: 253.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.905, f_measure: 0.8221, kappa: 0.6345, kb_relative_information_score: 21202.4329, mean_absolute_error: 0.2759, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8229, predictive_accuracy: 0.8233, prior_entropy: 0.9835, recall: 0.8233, relative_absolute_error: 0.5646, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3542, root_relative_squared_error: 0.7167, scimark_benchmark: 1840.3077, usercpu_time_millis: 195.907, usercpu_time_millis_testing: 13.364, usercpu_time_millis_training: 182.543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8682, f_measure: 0.7959, kappa: 0.5814, kb_relative_information_score: 18729.0276, mean_absolute_error: 0.3019, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7957, predictive_accuracy: 0.7963, prior_entropy: 0.9835, recall: 0.7963, relative_absolute_error: 0.6179, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3805, root_relative_squared_error: 0.7698, scimark_benchmark: 1842.7655, usercpu_time_millis: 208.357, usercpu_time_millis_testing: 12.374, usercpu_time_millis_training: 195.983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8489, f_measure: 0.7702, kappa: 0.527, kb_relative_information_score: 17328.726, mean_absolute_error: 0.316, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7763, predictive_accuracy: 0.7746, prior_entropy: 0.9835, recall: 0.7746, relative_absolute_error: 0.6466, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3939, root_relative_squared_error: 0.797, scimark_benchmark: 1832.6275, usercpu_time_millis: 176.35, usercpu_time_millis_testing: 9.222, usercpu_time_millis_training: 167.128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8717, f_measure: 0.7781, kappa: 0.5436, kb_relative_information_score: 17345.4767, mean_absolute_error: 0.3185, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7893, predictive_accuracy: 0.7839, prior_entropy: 0.9835, recall: 0.7839, relative_absolute_error: 0.6518, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3839, root_relative_squared_error: 0.7768, scimark_benchmark: 1839.7911, usercpu_time_millis: 146.644, usercpu_time_millis_testing: 14.012, usercpu_time_millis_training: 132.632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9476, f_measure: 0.8716, kappa: 0.7368, kb_relative_information_score: 26724.4118, mean_absolute_error: 0.2148, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8716, predictive_accuracy: 0.8719, prior_entropy: 0.9835, recall: 0.8719, relative_absolute_error: 0.4396, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3059, root_relative_squared_error: 0.6189, scimark_benchmark: 1839.8608, usercpu_time_millis: 266.612, usercpu_time_millis_testing: 9.585, usercpu_time_millis_training: 257.027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8822, f_measure: 0.8061, kappa: 0.6011, kb_relative_information_score: 19064.5526, mean_absolute_error: 0.2988, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8082, predictive_accuracy: 0.808, prior_entropy: 0.9835, recall: 0.808, relative_absolute_error: 0.6115, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3731, root_relative_squared_error: 0.7549, scimark_benchmark: 1845.3975, usercpu_time_millis: 134.37, usercpu_time_millis_testing: 10.16, usercpu_time_millis_training: 124.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8943, f_measure: 0.815, kappa: 0.6208, kb_relative_information_score: 21305.1833, mean_absolute_error: 0.2727, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8149, predictive_accuracy: 0.8154, prior_entropy: 0.9835, recall: 0.8154, relative_absolute_error: 0.5582, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.361, root_relative_squared_error: 0.7304, scimark_benchmark: 1838.1793, usercpu_time_millis: 252.958, usercpu_time_millis_testing: 11.413, usercpu_time_millis_training: 241.545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8812, f_measure: 0.804, kappa: 0.5979, kb_relative_information_score: 19899.1057, mean_absolute_error: 0.2889, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8039, predictive_accuracy: 0.8046, prior_entropy: 0.9835, recall: 0.8046, relative_absolute_error: 0.5913, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3712, root_relative_squared_error: 0.7511, scimark_benchmark: 1832.1735, usercpu_time_millis: 287.284, usercpu_time_millis_testing: 13.53, usercpu_time_millis_training: 273.754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9297, f_measure: 0.8463, kappa: 0.6846, kb_relative_information_score: 24203.0821, mean_absolute_error: 0.2425, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8465, predictive_accuracy: 0.8469, prior_entropy: 0.9835, recall: 0.8469, relative_absolute_error: 0.4963, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3289, root_relative_squared_error: 0.6654, scimark_benchmark: 1849.8902, usercpu_time_millis: 273.84, usercpu_time_millis_testing: 14.018, usercpu_time_millis_training: 259.822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.917, f_measure: 0.8342, kappa: 0.6597, kb_relative_information_score: 22816.2782, mean_absolute_error: 0.2577, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8344, predictive_accuracy: 0.8348, prior_entropy: 0.9835, recall: 0.8348, relative_absolute_error: 0.5275, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.342, root_relative_squared_error: 0.6918, scimark_benchmark: 1733.7613, usercpu_time_millis: 154.183, usercpu_time_millis_testing: 14.518, usercpu_time_millis_training: 139.665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8877, f_measure: 0.81, kappa: 0.6092, kb_relative_information_score: 19330.6161, mean_absolute_error: 0.2965, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8122, predictive_accuracy: 0.8119, prior_entropy: 0.9835, recall: 0.8119, relative_absolute_error: 0.6067, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3693, root_relative_squared_error: 0.7472, scimark_benchmark: 1837.1955, usercpu_time_millis: 167.508, usercpu_time_millis_testing: 12.108, usercpu_time_millis_training: 155.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8865, f_measure: 0.8058, kappa: 0.6003, kb_relative_information_score: 17495.6984, mean_absolute_error: 0.3191, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.81, predictive_accuracy: 0.8086, prior_entropy: 0.9835, recall: 0.8086, relative_absolute_error: 0.6531, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3754, root_relative_squared_error: 0.7594, scimark_benchmark: 1842.3843, usercpu_time_millis: 3.012, usercpu_time_millis_testing: 0.197, usercpu_time_millis_training: 2.815,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: -1.0478, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1847.8629, usercpu_time_millis: 9.652, usercpu_time_millis_testing: 0.673, usercpu_time_millis_training: 8.979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9376, f_measure: 0.8572, kappa: 0.707, kb_relative_information_score: 25350.9043, mean_absolute_error: 0.2299, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8572, predictive_accuracy: 0.8575, prior_entropy: 0.9835, recall: 0.8575, relative_absolute_error: 0.4706, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.319, root_relative_squared_error: 0.6453, scimark_benchmark: 1832.5979, usercpu_time_millis: 13.944, usercpu_time_millis_testing: 0.561, usercpu_time_millis_training: 13.383,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9526, f_measure: 0.8817, kappa: 0.7576, kb_relative_information_score: 27910.9355, mean_absolute_error: 0.2014, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8817, predictive_accuracy: 0.8818, prior_entropy: 0.9835, recall: 0.8818, relative_absolute_error: 0.4123, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2966, root_relative_squared_error: 0.6001, scimark_benchmark: 1830.5308, usercpu_time_millis: 14.574, usercpu_time_millis_testing: 0.51, usercpu_time_millis_training: 14.064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.847, f_measure: 0.7526, kappa: 0.492, kb_relative_information_score: 15410.3791, mean_absolute_error: 0.3384, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7688, predictive_accuracy: 0.7611, prior_entropy: 0.9835, recall: 0.7611, relative_absolute_error: 0.6925, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4042, root_relative_squared_error: 0.8177, scimark_benchmark: 1849.3014, usercpu_time_millis: 44.426, usercpu_time_millis_testing: 4.845, usercpu_time_millis_training: 39.581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.4204, kb_relative_information_score: 0.0372, 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: 1832.0044, usercpu_time_millis: 28.502, usercpu_time_millis_testing: 4.75, usercpu_time_millis_training: 23.752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: 0.5601, 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: 1823.8182, usercpu_time_millis: 30.117, usercpu_time_millis_testing: 5.195, usercpu_time_millis_training: 24.922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8974, f_measure: 0.8171, kappa: 0.6245, kb_relative_information_score: 20997.4847, mean_absolute_error: 0.2771, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8173, predictive_accuracy: 0.8179, prior_entropy: 0.9835, recall: 0.8179, relative_absolute_error: 0.5672, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3595, root_relative_squared_error: 0.7272, scimark_benchmark: 1821.4764, usercpu_time_millis: 75.792, usercpu_time_millis_testing: 3.349, usercpu_time_millis_training: 72.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9486, f_measure: 0.8745, kappa: 0.7428, kb_relative_information_score: 26616.8856, mean_absolute_error: 0.2169, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8745, predictive_accuracy: 0.8748, prior_entropy: 0.9835, recall: 0.8748, relative_absolute_error: 0.4439, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3048, root_relative_squared_error: 0.6167, scimark_benchmark: 1853.3841, usercpu_time_millis: 41.604, usercpu_time_millis_testing: 2.066, usercpu_time_millis_training: 39.538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8894, f_measure: 0.8126, kappa: 0.6152, kb_relative_information_score: 20147.4996, mean_absolute_error: 0.2866, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.813, predictive_accuracy: 0.8136, prior_entropy: 0.9835, recall: 0.8136, relative_absolute_error: 0.5865, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3661, root_relative_squared_error: 0.7408, scimark_benchmark: 1849.8177, usercpu_time_millis: 47.768, usercpu_time_millis_testing: 3.374, usercpu_time_millis_training: 44.394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8335, f_measure: 0.7486, kappa: 0.484, kb_relative_information_score: 15844.5553, mean_absolute_error: 0.3322, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7651, predictive_accuracy: 0.7574, prior_entropy: 0.9835, recall: 0.7574, relative_absolute_error: 0.6799, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4053, root_relative_squared_error: 0.8199, scimark_benchmark: 1833.5359, usercpu_time_millis: 96.799, usercpu_time_millis_testing: 6.357, usercpu_time_millis_training: 90.442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8526, f_measure: 0.7576, kappa: 0.5026, kb_relative_information_score: 13958.0364, mean_absolute_error: 0.3575, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7761, predictive_accuracy: 0.7664, prior_entropy: 0.9835, recall: 0.7664, relative_absolute_error: 0.7316, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4031, root_relative_squared_error: 0.8155, scimark_benchmark: 1819.5286, usercpu_time_millis: 70.14, usercpu_time_millis_testing: 8.953, usercpu_time_millis_training: 61.187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: -1.4995, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1801.0166, usercpu_time_millis: 81.627, usercpu_time_millis_testing: 7.957, usercpu_time_millis_training: 73.67,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9305, f_measure: 0.848, kappa: 0.6879, kb_relative_information_score: 23647.2836, mean_absolute_error: 0.2502, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8484, predictive_accuracy: 0.8487, prior_entropy: 0.9835, recall: 0.8487, relative_absolute_error: 0.5122, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3297, root_relative_squared_error: 0.667, scimark_benchmark: 1849.8294, usercpu_time_millis: 22.955, usercpu_time_millis_testing: 0.939, usercpu_time_millis_training: 22.016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: -0.9178, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1810.3793, usercpu_time_millis: 57.877, usercpu_time_millis_testing: 4.656, usercpu_time_millis_training: 53.221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.4204, kb_relative_information_score: -0.7197, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1838.1471, usercpu_time_millis: 51.905, usercpu_time_millis_testing: 8.991, usercpu_time_millis_training: 42.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.939, f_measure: 0.8569, kappa: 0.7064, kb_relative_information_score: 24606.4468, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8571, predictive_accuracy: 0.8574, prior_entropy: 0.9835, recall: 0.8574, relative_absolute_error: 0.4912, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.32, root_relative_squared_error: 0.6475, scimark_benchmark: 1848.388, usercpu_time_millis: 65.9, usercpu_time_millis_testing: 2.936, usercpu_time_millis_training: 62.964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8705, f_measure: 0.7938, kappa: 0.5762, kb_relative_information_score: 18484.2049, mean_absolute_error: 0.3048, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7946, predictive_accuracy: 0.7953, prior_entropy: 0.9835, recall: 0.7953, relative_absolute_error: 0.6238, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3801, root_relative_squared_error: 0.769, scimark_benchmark: 1850.8706, usercpu_time_millis: 46.958, usercpu_time_millis_testing: 3.518, usercpu_time_millis_training: 43.44,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8792, f_measure: 0.8013, kappa: 0.5923, kb_relative_information_score: 19889.7446, mean_absolute_error: 0.2888, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8013, predictive_accuracy: 0.802, prior_entropy: 0.9835, recall: 0.802, relative_absolute_error: 0.5911, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3727, root_relative_squared_error: 0.7541, scimark_benchmark: 1055.7136, usercpu_time_millis: 27.718, usercpu_time_millis_testing: 0.756, usercpu_time_millis_training: 26.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8993, f_measure: 0.8171, kappa: 0.6236, kb_relative_information_score: 18198.0867, mean_absolute_error: 0.3126, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8202, predictive_accuracy: 0.8193, prior_entropy: 0.9835, recall: 0.8193, relative_absolute_error: 0.6397, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.7434, scimark_benchmark: 1837.2683, usercpu_time_millis: 249.074, usercpu_time_millis_testing: 22.476, usercpu_time_millis_training: 226.598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9358, f_measure: 0.8564, kappa: 0.7056, kb_relative_information_score: 25621.6163, mean_absolute_error: 0.2258, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8564, predictive_accuracy: 0.8568, prior_entropy: 0.9835, recall: 0.8568, relative_absolute_error: 0.4622, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3199, root_relative_squared_error: 0.6473, scimark_benchmark: 1837.7149, usercpu_time_millis: 241.299, usercpu_time_millis_testing: 8.75, usercpu_time_millis_training: 232.549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9108, f_measure: 0.8275, kappa: 0.6456, kb_relative_information_score: 21835.9232, mean_absolute_error: 0.2689, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.828, predictive_accuracy: 0.8284, prior_entropy: 0.9835, recall: 0.8284, relative_absolute_error: 0.5503, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3488, root_relative_squared_error: 0.7058, scimark_benchmark: 1838.7526, usercpu_time_millis: 263.202, usercpu_time_millis_testing: 14.466, usercpu_time_millis_training: 248.736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.913, f_measure: 0.8297, kappa: 0.6502, kb_relative_information_score: 22102.0231, mean_absolute_error: 0.266, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8302, predictive_accuracy: 0.8306, prior_entropy: 0.9835, recall: 0.8306, relative_absolute_error: 0.5444, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3466, root_relative_squared_error: 0.7013, scimark_benchmark: 1770.7383, usercpu_time_millis: 297.076, usercpu_time_millis_testing: 22.635, usercpu_time_millis_training: 274.441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8978, f_measure: 0.8158, kappa: 0.621, kb_relative_information_score: 18060.1357, mean_absolute_error: 0.314, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8192, predictive_accuracy: 0.8181, prior_entropy: 0.9835, recall: 0.8181, relative_absolute_error: 0.6427, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3686, root_relative_squared_error: 0.7458, scimark_benchmark: 1844.3569, usercpu_time_millis: 231.097, usercpu_time_millis_testing: 20.539, usercpu_time_millis_training: 210.558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8757, f_measure: 0.7999, kappa: 0.5894, kb_relative_information_score: 19364.3057, mean_absolute_error: 0.2951, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7998, predictive_accuracy: 0.8005, prior_entropy: 0.9835, recall: 0.8005, relative_absolute_error: 0.6039, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3754, root_relative_squared_error: 0.7595, scimark_benchmark: 1837.132, usercpu_time_millis: 226.22, usercpu_time_millis_testing: 13.345, usercpu_time_millis_training: 212.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9041, f_measure: 0.8218, kappa: 0.6344, kb_relative_information_score: 21978.3381, mean_absolute_error: 0.2657, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8217, predictive_accuracy: 0.8223, prior_entropy: 0.9835, recall: 0.8223, relative_absolute_error: 0.5437, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3532, root_relative_squared_error: 0.7146, scimark_benchmark: 1812.2788, usercpu_time_millis: 243.264, usercpu_time_millis_testing: 15.228, usercpu_time_millis_training: 228.036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9039, f_measure: 0.8213, kappa: 0.6332, kb_relative_information_score: 21430.6091, mean_absolute_error: 0.2727, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8216, predictive_accuracy: 0.8222, prior_entropy: 0.9835, recall: 0.8222, relative_absolute_error: 0.5582, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3544, root_relative_squared_error: 0.717, scimark_benchmark: 1837.1638, usercpu_time_millis: 387.069, usercpu_time_millis_testing: 24.117, usercpu_time_millis_training: 362.952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9307, f_measure: 0.8485, kappa: 0.6893, kb_relative_information_score: 24853.1161, mean_absolute_error: 0.2343, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8485, predictive_accuracy: 0.8488, prior_entropy: 0.9835, recall: 0.8488, relative_absolute_error: 0.4796, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3264, root_relative_squared_error: 0.6604, scimark_benchmark: 1817.7047, usercpu_time_millis: 281.327, usercpu_time_millis_testing: 14.161, usercpu_time_millis_training: 267.166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9107, f_measure: 0.8277, kappa: 0.6459, kb_relative_information_score: 21339.4163, mean_absolute_error: 0.2754, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8288, predictive_accuracy: 0.8289, prior_entropy: 0.9835, recall: 0.8289, relative_absolute_error: 0.5637, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3502, root_relative_squared_error: 0.7085, scimark_benchmark: 1823.9603, usercpu_time_millis: 230.495, usercpu_time_millis_testing: 18.172, usercpu_time_millis_training: 212.323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8963, f_measure: 0.8145, kappa: 0.6182, kb_relative_information_score: 17874.9233, mean_absolute_error: 0.316, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8181, predictive_accuracy: 0.8168, prior_entropy: 0.9835, recall: 0.8168, relative_absolute_error: 0.6468, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3701, root_relative_squared_error: 0.7487, scimark_benchmark: 1812.2788, usercpu_time_millis: 225.548, usercpu_time_millis_testing: 20.778, usercpu_time_millis_training: 204.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9004, f_measure: 0.8192, kappa: 0.6289, kb_relative_information_score: 21461.3791, mean_absolute_error: 0.2718, 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: 0.5562, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3565, root_relative_squared_error: 0.7214, scimark_benchmark: 1845.264, usercpu_time_millis: 220.056, usercpu_time_millis_testing: 13.882, usercpu_time_millis_training: 206.174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9029, f_measure: 0.8203, kappa: 0.6302, kb_relative_information_score: 18617.4955, mean_absolute_error: 0.3081, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.823, predictive_accuracy: 0.8222, prior_entropy: 0.9835, recall: 0.8222, relative_absolute_error: 0.6305, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3641, root_relative_squared_error: 0.7366, scimark_benchmark: 1849.7595, usercpu_time_millis: 231.4, usercpu_time_millis_testing: 22.034, usercpu_time_millis_training: 209.366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9336, f_measure: 0.8523, kappa: 0.697, kb_relative_information_score: 25139.9745, mean_absolute_error: 0.2314, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8523, predictive_accuracy: 0.8527, prior_entropy: 0.9835, recall: 0.8527, relative_absolute_error: 0.4737, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3232, root_relative_squared_error: 0.6538, scimark_benchmark: 1835.2001, usercpu_time_millis: 356.021, usercpu_time_millis_testing: 12.89, usercpu_time_millis_training: 343.131,

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