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: 0.9761, f_measure: 0.9202, kappa: 0.8366, kb_relative_information_score: 32363.0603, mean_absolute_error: 0.1524, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9201, predictive_accuracy: 0.9202, prior_entropy: 0.9835, recall: 0.9202, relative_absolute_error: 0.3119, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2494, root_relative_squared_error: 0.5046, scimark_benchmark: 1835.6541, usercpu_time_millis: 42.75, usercpu_time_millis_testing: 1.293, usercpu_time_millis_training: 41.457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7352, f_measure: 0.7486, kappa: 0.484, kb_relative_information_score: 13169.6036, 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: 0.4267, root_relative_squared_error: 0.8633, scimark_benchmark: 1836.1221, usercpu_time_millis: 153.731, usercpu_time_millis_testing: 10.59, usercpu_time_millis_training: 143.141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.933, f_measure: 0.8506, kappa: 0.6934, kb_relative_information_score: 24342.2769, mean_absolute_error: 0.2418, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8508, predictive_accuracy: 0.8512, prior_entropy: 0.9835, recall: 0.8512, relative_absolute_error: 0.4948, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3257, root_relative_squared_error: 0.659, scimark_benchmark: 1842.2855, usercpu_time_millis: 124.725, usercpu_time_millis_testing: 10.098, usercpu_time_millis_training: 114.627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8522, f_measure: 0.7665, kappa: 0.5195, kb_relative_information_score: 16825.9815, mean_absolute_error: 0.3229, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7758, predictive_accuracy: 0.7721, prior_entropy: 0.9835, recall: 0.7721, relative_absolute_error: 0.6608, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3934, root_relative_squared_error: 0.7959, scimark_benchmark: 1828.686, usercpu_time_millis: 49.431, usercpu_time_millis_testing: 2.327, usercpu_time_millis_training: 47.104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9304, f_measure: 0.8524, kappa: 0.6969, kb_relative_information_score: 21699.1717, mean_absolute_error: 0.2757, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8527, predictive_accuracy: 0.853, prior_entropy: 0.9835, recall: 0.853, relative_absolute_error: 0.5642, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3369, root_relative_squared_error: 0.6817, scimark_benchmark: 1835.7111, usercpu_time_millis: 31.506, usercpu_time_millis_testing: 2.524, usercpu_time_millis_training: 28.982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8938, f_measure: 0.815, kappa: 0.6202, kb_relative_information_score: 20657.7735, mean_absolute_error: 0.2809, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8152, predictive_accuracy: 0.8158, prior_entropy: 0.9835, recall: 0.8158, relative_absolute_error: 0.5748, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3624, root_relative_squared_error: 0.7331, scimark_benchmark: 1855.0232, usercpu_time_millis: 43.232, usercpu_time_millis_testing: 1.51, usercpu_time_millis_training: 41.722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: -2.4843, 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: 1833.5944, usercpu_time_millis: 70.394, usercpu_time_millis_testing: 4.66, usercpu_time_millis_training: 65.734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8369, f_measure: 0.7559, kappa: 0.4991, kb_relative_information_score: 12195.7206, mean_absolute_error: 0.3767, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7745, predictive_accuracy: 0.7649, prior_entropy: 0.9835, recall: 0.7649, relative_absolute_error: 0.7709, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4133, root_relative_squared_error: 0.8363, scimark_benchmark: 1837.5258, usercpu_time_millis: 59.011, usercpu_time_millis_testing: 7.714, usercpu_time_millis_training: 51.297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: -1.2405, 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: 1827.5629, usercpu_time_millis: 59.049, usercpu_time_millis_testing: 4.503, usercpu_time_millis_training: 54.546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7976, f_measure: 0.7486, kappa: 0.4839, kb_relative_information_score: 10577.1986, mean_absolute_error: 0.3945, 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: 0.8073, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4281, root_relative_squared_error: 0.8661, scimark_benchmark: 1842.7093, usercpu_time_millis: 109.734, usercpu_time_millis_testing: 9.987, usercpu_time_millis_training: 99.747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8531, f_measure: 0.7664, kappa: 0.5195, kb_relative_information_score: 16766.0962, mean_absolute_error: 0.3236, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7768, predictive_accuracy: 0.7724, prior_entropy: 0.9835, recall: 0.7724, relative_absolute_error: 0.6623, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3934, root_relative_squared_error: 0.7958, scimark_benchmark: 1844.3569, usercpu_time_millis: 99.039, usercpu_time_millis_testing: 5.903, usercpu_time_millis_training: 93.136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9436, f_measure: 0.8657, kappa: 0.7247, kb_relative_information_score: 26403.1521, mean_absolute_error: 0.2179, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8656, predictive_accuracy: 0.8659, prior_entropy: 0.9835, recall: 0.8659, relative_absolute_error: 0.4459, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3106, root_relative_squared_error: 0.6284, scimark_benchmark: 1837.586, usercpu_time_millis: 131.27, usercpu_time_millis_testing: 4.821, usercpu_time_millis_training: 126.449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8902, f_measure: 0.8113, kappa: 0.6118, kb_relative_information_score: 19587.8464, mean_absolute_error: 0.2936, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8133, predictive_accuracy: 0.8131, prior_entropy: 0.9835, recall: 0.8131, relative_absolute_error: 0.6009, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3673, root_relative_squared_error: 0.7431, scimark_benchmark: 1848.321, usercpu_time_millis: 216.657, usercpu_time_millis_testing: 15.468, usercpu_time_millis_training: 201.189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9008, f_measure: 0.8189, kappa: 0.6278, kb_relative_information_score: 20754.3834, mean_absolute_error: 0.2808, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8199, predictive_accuracy: 0.8202, prior_entropy: 0.9835, recall: 0.8202, relative_absolute_error: 0.5746, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.358, root_relative_squared_error: 0.7242, scimark_benchmark: 1832.6707, usercpu_time_millis: 196.189, usercpu_time_millis_testing: 14.072, usercpu_time_millis_training: 182.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9101, f_measure: 0.8286, kappa: 0.6476, kb_relative_information_score: 19520.3711, mean_absolute_error: 0.2984, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8303, predictive_accuracy: 0.8301, prior_entropy: 0.9835, recall: 0.8301, relative_absolute_error: 0.6108, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3569, root_relative_squared_error: 0.722, scimark_benchmark: 1832.1165, usercpu_time_millis: 94.837, usercpu_time_millis_testing: 7.875, usercpu_time_millis_training: 86.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8547, f_measure: 0.765, kappa: 0.5168, kb_relative_information_score: 16636.8405, mean_absolute_error: 0.3253, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7771, predictive_accuracy: 0.7716, prior_entropy: 0.9835, recall: 0.7716, relative_absolute_error: 0.6657, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3949, root_relative_squared_error: 0.799, scimark_benchmark: 1840.3077, usercpu_time_millis: 218.371, usercpu_time_millis_testing: 13.75, usercpu_time_millis_training: 204.621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9186, f_measure: 0.835, kappa: 0.6615, kb_relative_information_score: 23167.4376, mean_absolute_error: 0.2533, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8352, predictive_accuracy: 0.8356, prior_entropy: 0.9835, recall: 0.8356, relative_absolute_error: 0.5184, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3402, root_relative_squared_error: 0.6882, scimark_benchmark: 1816.0169, usercpu_time_millis: 194.425, usercpu_time_millis_testing: 10.496, usercpu_time_millis_training: 183.929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8653, f_measure: 0.7721, kappa: 0.5312, kb_relative_information_score: 17136.8523, mean_absolute_error: 0.3205, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7819, predictive_accuracy: 0.7777, prior_entropy: 0.9835, recall: 0.7777, relative_absolute_error: 0.656, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3873, root_relative_squared_error: 0.7837, scimark_benchmark: 1824.4185, usercpu_time_millis: 106.156, usercpu_time_millis_testing: 7.579, usercpu_time_millis_training: 98.577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8886, f_measure: 0.8034, kappa: 0.5953, kb_relative_information_score: 17017.5813, mean_absolute_error: 0.3252, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8089, predictive_accuracy: 0.8066, prior_entropy: 0.9835, recall: 0.8066, relative_absolute_error: 0.6655, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3768, root_relative_squared_error: 0.7623, scimark_benchmark: 1848.047, usercpu_time_millis: 118.825, usercpu_time_millis_testing: 10.916, usercpu_time_millis_training: 107.909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8929, f_measure: 0.8152, kappa: 0.6204, kb_relative_information_score: 20277.0903, mean_absolute_error: 0.2855, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8157, predictive_accuracy: 0.8163, prior_entropy: 0.9835, recall: 0.8163, relative_absolute_error: 0.5843, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3637, root_relative_squared_error: 0.7359, scimark_benchmark: 1837.7222, usercpu_time_millis: 216.978, usercpu_time_millis_testing: 12.229, usercpu_time_millis_training: 204.749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8629, f_measure: 0.7927, kappa: 0.5751, kb_relative_information_score: 18617.6649, mean_absolute_error: 0.3027, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7925, predictive_accuracy: 0.7931, prior_entropy: 0.9835, recall: 0.7931, relative_absolute_error: 0.6194, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3831, root_relative_squared_error: 0.775, scimark_benchmark: 1854.4431, usercpu_time_millis: 185.202, usercpu_time_millis_testing: 12.252, usercpu_time_millis_training: 172.95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.795, f_measure: 0.7486, kappa: 0.4842, kb_relative_information_score: 9545.6767, mean_absolute_error: 0.4049, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7665, predictive_accuracy: 0.7578, prior_entropy: 0.9835, recall: 0.7578, relative_absolute_error: 0.8288, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4309, root_relative_squared_error: 0.8718, scimark_benchmark: 1843.6841, usercpu_time_millis: 87.009, usercpu_time_millis_testing: 8.573, usercpu_time_millis_training: 78.436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, f_measure: 0.75, kappa: 0.4866, kb_relative_information_score: 15083.4174, mean_absolute_error: 0.3415, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7651, predictive_accuracy: 0.7583, prior_entropy: 0.9835, recall: 0.7583, relative_absolute_error: 0.699, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4084, root_relative_squared_error: 0.8263, scimark_benchmark: 1765.7061, usercpu_time_millis: 172.201, usercpu_time_millis_testing: 12.156, usercpu_time_millis_training: 160.045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8723, f_measure: 0.7876, kappa: 0.5628, kb_relative_information_score: 18034.6049, mean_absolute_error: 0.3103, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7951, predictive_accuracy: 0.7919, prior_entropy: 0.9835, recall: 0.7919, relative_absolute_error: 0.635, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3812, root_relative_squared_error: 0.7711, scimark_benchmark: 1840.2451, usercpu_time_millis: 107.013, usercpu_time_millis_testing: 6.334, usercpu_time_millis_training: 100.679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9393, f_measure: 0.8584, kappa: 0.7093, kb_relative_information_score: 24688.8613, mean_absolute_error: 0.2392, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8586, predictive_accuracy: 0.8588, prior_entropy: 0.9835, recall: 0.8588, relative_absolute_error: 0.4895, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3194, root_relative_squared_error: 0.6461, scimark_benchmark: 1844.4297, usercpu_time_millis: 110.217, usercpu_time_millis_testing: 6.004, usercpu_time_millis_training: 104.213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8643, f_measure: 0.7925, kappa: 0.574, kb_relative_information_score: 18282.0934, mean_absolute_error: 0.3072, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7926, predictive_accuracy: 0.7935, prior_entropy: 0.9835, recall: 0.7935, relative_absolute_error: 0.6286, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3834, root_relative_squared_error: 0.7757, scimark_benchmark: 1840.7617, usercpu_time_millis: 194.668, usercpu_time_millis_testing: 14.5, usercpu_time_millis_training: 180.168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8896, f_measure: 0.8132, kappa: 0.6161, kb_relative_information_score: 19935.6153, mean_absolute_error: 0.2892, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8139, predictive_accuracy: 0.8144, prior_entropy: 0.9835, recall: 0.8144, relative_absolute_error: 0.5919, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.7415, scimark_benchmark: 1843.3605, usercpu_time_millis: 301.29, usercpu_time_millis_testing: 20.784, usercpu_time_millis_training: 280.506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9154, f_measure: 0.8325, kappa: 0.6556, kb_relative_information_score: 19931.9201, mean_absolute_error: 0.2942, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8339, predictive_accuracy: 0.8338, prior_entropy: 0.9835, recall: 0.8338, relative_absolute_error: 0.6021, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3528, root_relative_squared_error: 0.7137, scimark_benchmark: 1836.1651, usercpu_time_millis: 197.561, usercpu_time_millis_testing: 16.335, usercpu_time_millis_training: 181.226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.919, f_measure: 0.8359, kappa: 0.6634, kb_relative_information_score: 23403.6329, mean_absolute_error: 0.2502, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.836, predictive_accuracy: 0.8364, prior_entropy: 0.9835, recall: 0.8364, relative_absolute_error: 0.5121, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3394, root_relative_squared_error: 0.6866, scimark_benchmark: 1890.8966, usercpu_time_millis: 192.015, usercpu_time_millis_testing: 8.293, usercpu_time_millis_training: 183.722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8671, f_measure: 0.7945, kappa: 0.5786, kb_relative_information_score: 18629.2872, mean_absolute_error: 0.3029, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7943, predictive_accuracy: 0.7949, prior_entropy: 0.9835, recall: 0.7949, relative_absolute_error: 0.62, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3813, root_relative_squared_error: 0.7714, scimark_benchmark: 1853.454, usercpu_time_millis: 264.277, usercpu_time_millis_testing: 15.638, usercpu_time_millis_training: 248.639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8822, f_measure: 0.8056, kappa: 0.6013, kb_relative_information_score: 20103.3693, mean_absolute_error: 0.2866, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8055, predictive_accuracy: 0.8062, prior_entropy: 0.9835, recall: 0.8062, relative_absolute_error: 0.5865, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3702, root_relative_squared_error: 0.7489, scimark_benchmark: 1832.4002, usercpu_time_millis: 212.098, usercpu_time_millis_testing: 11.383, usercpu_time_millis_training: 200.715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8935, f_measure: 0.8148, kappa: 0.6203, kb_relative_information_score: 21100.0642, mean_absolute_error: 0.2753, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8147, predictive_accuracy: 0.8153, prior_entropy: 0.9835, recall: 0.8153, relative_absolute_error: 0.5635, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.732, scimark_benchmark: 1794.5001, usercpu_time_millis: 188.714, usercpu_time_millis_testing: 9.161, usercpu_time_millis_training: 179.553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9135, f_measure: 0.8304, kappa: 0.6522, kb_relative_information_score: 22920.7872, mean_absolute_error: 0.2552, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8304, predictive_accuracy: 0.831, prior_entropy: 0.9835, recall: 0.831, relative_absolute_error: 0.5223, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3446, root_relative_squared_error: 0.6972, scimark_benchmark: 1846.3057, usercpu_time_millis: 321.161, usercpu_time_millis_testing: 18.02, usercpu_time_millis_training: 303.141,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9319, f_measure: 0.8503, kappa: 0.6929, kb_relative_information_score: 24969.8315, mean_absolute_error: 0.2332, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8503, predictive_accuracy: 0.8507, prior_entropy: 0.9835, recall: 0.8507, relative_absolute_error: 0.4773, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.325, root_relative_squared_error: 0.6574, scimark_benchmark: 1830.1732, usercpu_time_millis: 4.572, usercpu_time_millis_testing: 0.182, usercpu_time_millis_training: 4.39,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8655, f_measure: 0.7681, kappa: 0.5235, kb_relative_information_score: 15802.0539, mean_absolute_error: 0.3367, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7824, predictive_accuracy: 0.7752, prior_entropy: 0.9835, recall: 0.7752, relative_absolute_error: 0.689, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3917, root_relative_squared_error: 0.7924, scimark_benchmark: 1853.9121, usercpu_time_millis: 31.817, usercpu_time_millis_testing: 1.748, usercpu_time_millis_training: 30.069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: 0.3655, 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: 42.835, usercpu_time_millis_testing: 7.441, usercpu_time_millis_training: 35.394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9168, f_measure: 0.8335, kappa: 0.6581, kb_relative_information_score: 22505.5489, mean_absolute_error: 0.2616, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8339, predictive_accuracy: 0.8343, prior_entropy: 0.9835, recall: 0.8343, relative_absolute_error: 0.5353, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.343, root_relative_squared_error: 0.694, scimark_benchmark: 1837.6484, usercpu_time_millis: 40.373, usercpu_time_millis_testing: 2.282, usercpu_time_millis_training: 38.091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: -0.2512, 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: 1833.6545, usercpu_time_millis: 56.257, usercpu_time_millis_testing: 9.617, usercpu_time_millis_training: 46.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9171, f_measure: 0.8333, kappa: 0.6577, kb_relative_information_score: 22720.4428, mean_absolute_error: 0.2588, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8336, predictive_accuracy: 0.834, prior_entropy: 0.9835, recall: 0.834, relative_absolute_error: 0.5297, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3421, root_relative_squared_error: 0.6922, scimark_benchmark: 1840.3077, usercpu_time_millis: 6.074, usercpu_time_millis_testing: 0.261, usercpu_time_millis_training: 5.813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8517, f_measure: 0.7611, kappa: 0.5099, kb_relative_information_score: 12448.5236, mean_absolute_error: 0.3744, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7802, predictive_accuracy: 0.7699, prior_entropy: 0.9835, recall: 0.7699, relative_absolute_error: 0.7663, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4086, root_relative_squared_error: 0.8267, scimark_benchmark: 1840.1791, usercpu_time_millis: 30.139, usercpu_time_millis_testing: 2.364, usercpu_time_millis_training: 27.775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: -1.95, 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: 1829.3419, usercpu_time_millis: 14.945, usercpu_time_millis_testing: 0.78, usercpu_time_millis_training: 14.165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7949, f_measure: 0.7532, kappa: 0.4938, kb_relative_information_score: 9558.0349, mean_absolute_error: 0.4045, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7723, predictive_accuracy: 0.7625, prior_entropy: 0.9835, recall: 0.7625, relative_absolute_error: 0.8279, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4293, root_relative_squared_error: 0.8685, scimark_benchmark: 1831.6246, usercpu_time_millis: 12.273, usercpu_time_millis_testing: 1.077, usercpu_time_millis_training: 11.196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8965, f_measure: 0.8169, kappa: 0.6244, kb_relative_information_score: 21344.1237, mean_absolute_error: 0.2726, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8168, predictive_accuracy: 0.8174, prior_entropy: 0.9835, recall: 0.8174, relative_absolute_error: 0.5579, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3594, root_relative_squared_error: 0.7272, scimark_benchmark: 1850.2875, usercpu_time_millis: 19.054, usercpu_time_millis_testing: 0.638, usercpu_time_millis_training: 18.416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8662, f_measure: 0.768, kappa: 0.5233, kb_relative_information_score: 15887.3347, mean_absolute_error: 0.3356, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7824, predictive_accuracy: 0.7751, prior_entropy: 0.9835, recall: 0.7751, relative_absolute_error: 0.6868, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3911, root_relative_squared_error: 0.7912, scimark_benchmark: 1840.3077, usercpu_time_millis: 31.459, usercpu_time_millis_testing: 1.685, usercpu_time_millis_training: 29.774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8436, f_measure: 0.7541, kappa: 0.4949, kb_relative_information_score: 15580.0108, mean_absolute_error: 0.3364, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7686, predictive_accuracy: 0.762, prior_entropy: 0.9835, recall: 0.762, relative_absolute_error: 0.6885, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4036, root_relative_squared_error: 0.8166, scimark_benchmark: 1843.1989, usercpu_time_millis: 42.021, usercpu_time_millis_testing: 2.07, usercpu_time_millis_training: 39.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7922, f_measure: 0.75, kappa: 0.488, kb_relative_information_score: 7479.6749, mean_absolute_error: 0.4247, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7729, predictive_accuracy: 0.7605, prior_entropy: 0.9835, recall: 0.7605, relative_absolute_error: 0.8691, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4412, root_relative_squared_error: 0.8926, scimark_benchmark: 1831.8877, usercpu_time_millis: 46.808, usercpu_time_millis_testing: 6.272, usercpu_time_millis_training: 40.536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9412, f_measure: 0.8601, kappa: 0.7131, kb_relative_information_score: 25673.0004, mean_absolute_error: 0.2265, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8603, predictive_accuracy: 0.8606, prior_entropy: 0.9835, recall: 0.8606, relative_absolute_error: 0.4635, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.315, root_relative_squared_error: 0.6373, scimark_benchmark: 1832.5979, usercpu_time_millis: 33.038, usercpu_time_millis_testing: 1.017, usercpu_time_millis_training: 32.021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7897, f_measure: 0.7488, kappa: 0.4845, kb_relative_information_score: 14036.7204, mean_absolute_error: 0.3546, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7661, predictive_accuracy: 0.7578, prior_entropy: 0.9835, recall: 0.7578, relative_absolute_error: 0.7258, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4176, root_relative_squared_error: 0.8449, scimark_benchmark: 1851.9456, usercpu_time_millis: 1.336, usercpu_time_millis_testing: 0.113, usercpu_time_millis_training: 1.223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.4204, kb_relative_information_score: 0.1968, 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: 1841.1596, usercpu_time_millis: 14.354, usercpu_time_millis_testing: 1.785, usercpu_time_millis_training: 12.569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8392, f_measure: 0.7521, kappa: 0.4908, kb_relative_information_score: 14896.3319, mean_absolute_error: 0.3445, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7672, predictive_accuracy: 0.7602, prior_entropy: 0.9835, recall: 0.7602, relative_absolute_error: 0.7051, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4065, root_relative_squared_error: 0.8224, scimark_benchmark: 1837.7821, usercpu_time_millis: 93.885, usercpu_time_millis_testing: 10.422, usercpu_time_millis_training: 83.463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: -4.2094, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1839.7313, usercpu_time_millis: 3.309, usercpu_time_millis_testing: 0.347, usercpu_time_millis_training: 2.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9546, f_measure: 0.8833, kappa: 0.7609, kb_relative_information_score: 27352.4735, mean_absolute_error: 0.2093, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8832, predictive_accuracy: 0.8834, prior_entropy: 0.9835, recall: 0.8834, relative_absolute_error: 0.4283, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2964, root_relative_squared_error: 0.5997, scimark_benchmark: 1846.2342, usercpu_time_millis: 63.577, usercpu_time_millis_testing: 4.73, usercpu_time_millis_training: 58.847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: -1.3854, 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: 1811.2526, usercpu_time_millis: 55.829, usercpu_time_millis_testing: 4.024, usercpu_time_millis_training: 51.805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.833, f_measure: 0.749, kappa: 0.4849, kb_relative_information_score: 14687.4708, mean_absolute_error: 0.3468, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7663, predictive_accuracy: 0.758, prior_entropy: 0.9835, recall: 0.758, relative_absolute_error: 0.7098, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4103, root_relative_squared_error: 0.83, scimark_benchmark: 1855.0232, usercpu_time_millis: 63.624, usercpu_time_millis_testing: 7.206, usercpu_time_millis_training: 56.418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: 0.3858, 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: 1802.7678, usercpu_time_millis: 53.385, usercpu_time_millis_testing: 9.653, usercpu_time_millis_training: 43.732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.9294, kappa: 0.8555, kb_relative_information_score: 35364.6704, mean_absolute_error: 0.115, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9294, predictive_accuracy: 0.9294, prior_entropy: 0.9835, recall: 0.9294, relative_absolute_error: 0.2353, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2326, root_relative_squared_error: 0.4706, scimark_benchmark: 1845.3975, usercpu_time_millis: 83.672, usercpu_time_millis_testing: 2.099, usercpu_time_millis_training: 81.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: -0.9995, 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: 1845.3975, usercpu_time_millis: 85.606, usercpu_time_millis_testing: 6.025, usercpu_time_millis_training: 79.581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8693, f_measure: 0.7728, kappa: 0.5329, kb_relative_information_score: 16952.6598, mean_absolute_error: 0.3229, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7857, predictive_accuracy: 0.7793, prior_entropy: 0.9835, recall: 0.7793, relative_absolute_error: 0.6609, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3864, root_relative_squared_error: 0.7817, scimark_benchmark: 1829.632, usercpu_time_millis: 89.112, usercpu_time_millis_testing: 10.017, usercpu_time_millis_training: 79.095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7978, f_measure: 0.7486, kappa: 0.4839, kb_relative_information_score: 10587.9969, mean_absolute_error: 0.3943, 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: 0.8071, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.428, root_relative_squared_error: 0.866, scimark_benchmark: 1846.9558, usercpu_time_millis: 84.105, usercpu_time_millis_testing: 7.639, usercpu_time_millis_training: 76.466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8667, f_measure: 0.7696, kappa: 0.5265, kb_relative_information_score: 16672.0475, mean_absolute_error: 0.3262, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7829, predictive_accuracy: 0.7764, prior_entropy: 0.9835, recall: 0.7764, relative_absolute_error: 0.6675, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3884, root_relative_squared_error: 0.7858, scimark_benchmark: 1850.2875, usercpu_time_millis: 39.309, usercpu_time_millis_testing: 2.713, usercpu_time_millis_training: 36.596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8118, f_measure: 0.7486, kappa: 0.484, kb_relative_information_score: 15716.4678, mean_absolute_error: 0.333, 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: 0.6815, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4081, root_relative_squared_error: 0.8256, scimark_benchmark: 1841.8649, usercpu_time_millis: 75.114, usercpu_time_millis_testing: 4.028, usercpu_time_millis_training: 71.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.953, f_measure: 0.8835, kappa: 0.7613, kb_relative_information_score: 27502.4151, mean_absolute_error: 0.2071, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8834, predictive_accuracy: 0.8836, prior_entropy: 0.9835, recall: 0.8836, relative_absolute_error: 0.4238, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2973, root_relative_squared_error: 0.6016, scimark_benchmark: 1852.5406, usercpu_time_millis: 48.431, usercpu_time_millis_testing: 2.559, usercpu_time_millis_training: 45.872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8255, f_measure: 0.7553, kappa: 0.4979, kb_relative_information_score: 11515.9394, mean_absolute_error: 0.3838, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7737, predictive_accuracy: 0.7643, prior_entropy: 0.9835, recall: 0.7643, relative_absolute_error: 0.7855, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4179, root_relative_squared_error: 0.8455, scimark_benchmark: 1825.2596, usercpu_time_millis: 57.204, usercpu_time_millis_testing: 6.003, usercpu_time_millis_training: 51.201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9222, f_measure: 0.8393, kappa: 0.6702, kb_relative_information_score: 23402.5155, mean_absolute_error: 0.2511, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8394, predictive_accuracy: 0.8398, prior_entropy: 0.9835, recall: 0.8398, relative_absolute_error: 0.5139, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3369, root_relative_squared_error: 0.6816, scimark_benchmark: 1846.6923, usercpu_time_millis: 67.521, usercpu_time_millis_testing: 2.234, usercpu_time_millis_training: 65.287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9405, f_measure: 0.8609, kappa: 0.7146, kb_relative_information_score: 25308.2597, mean_absolute_error: 0.2314, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.861, predictive_accuracy: 0.8613, prior_entropy: 0.9835, recall: 0.8613, relative_absolute_error: 0.4736, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3164, root_relative_squared_error: 0.6401, scimark_benchmark: 1839.2203, usercpu_time_millis: 54.511, usercpu_time_millis_testing: 3.763, usercpu_time_millis_training: 50.748,

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