OpenML
Supervised Classification on electricity

Supervised Classification on electricity

Task 219 Supervised Classification electricity 77568 runs submitted
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  • at2 mythbusting_1 OpenML-CC18 OpenML100 study_1 study_123 study_14 study_15 study_20 study_41 study_7 study_70 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9338, f_measure: 0.8545, kappa: 0.7016, kb_relative_information_score: 25524.6778, mean_absolute_error: 0.2265, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8545, predictive_accuracy: 0.8549, prior_entropy: 0.9835, recall: 0.8549, relative_absolute_error: 0.4635, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3221, root_relative_squared_error: 0.6517, scimark_benchmark: 1279.9128, usercpu_time_millis: 237.232, usercpu_time_millis_testing: 5.34, usercpu_time_millis_training: 231.892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8888, f_measure: 0.8118, kappa: 0.6136, kb_relative_information_score: 20152.8167, mean_absolute_error: 0.2865, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8119, predictive_accuracy: 0.8125, prior_entropy: 0.9835, recall: 0.8125, relative_absolute_error: 0.5863, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.7414, scimark_benchmark: 1262.1995, usercpu_time_millis: 1350.062, usercpu_time_millis_testing: 75.678, usercpu_time_millis_training: 1274.384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8709, f_measure: 0.7799, kappa: 0.5475, kb_relative_information_score: 14885.3319, mean_absolute_error: 0.3481, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7925, predictive_accuracy: 0.786, prior_entropy: 0.9835, recall: 0.786, relative_absolute_error: 0.7123, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3924, root_relative_squared_error: 0.7938, scimark_benchmark: 1271.1401, usercpu_time_millis: 722.411, usercpu_time_millis_testing: 61.23, usercpu_time_millis_training: 661.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9074, f_measure: 0.8239, kappa: 0.6383, kb_relative_information_score: 21815.4779, mean_absolute_error: 0.2685, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8242, predictive_accuracy: 0.8247, prior_entropy: 0.9835, recall: 0.8247, relative_absolute_error: 0.5494, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3512, root_relative_squared_error: 0.7106, scimark_benchmark: 1245.1603, usercpu_time_millis: 2205.627, usercpu_time_millis_testing: 97.047, usercpu_time_millis_training: 2108.58,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9507, f_measure: 0.8776, kappa: 0.7491, kb_relative_information_score: 27265.4059, mean_absolute_error: 0.2091, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8775, predictive_accuracy: 0.8777, prior_entropy: 0.9835, recall: 0.8777, relative_absolute_error: 0.428, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3007, root_relative_squared_error: 0.6085, scimark_benchmark: 1275.7435, usercpu_time_millis: 445.399, usercpu_time_millis_testing: 17.317, usercpu_time_millis_training: 428.082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9451, f_measure: 0.8679, kappa: 0.7292, kb_relative_information_score: 26632.7335, mean_absolute_error: 0.2154, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8678, predictive_accuracy: 0.8681, prior_entropy: 0.9835, recall: 0.8681, relative_absolute_error: 0.4407, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3084, root_relative_squared_error: 0.624, scimark_benchmark: 1270.8693, usercpu_time_millis: 3447.126, usercpu_time_millis_testing: 106.877, usercpu_time_millis_training: 3340.249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9375, f_measure: 0.8555, kappa: 0.7034, kb_relative_information_score: 24929.3422, mean_absolute_error: 0.2353, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8556, predictive_accuracy: 0.8559, prior_entropy: 0.9835, recall: 0.8559, relative_absolute_error: 0.4815, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3203, root_relative_squared_error: 0.648, scimark_benchmark: 1254.2632, usercpu_time_millis: 980.705, usercpu_time_millis_testing: 55.633, usercpu_time_millis_training: 925.072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9432, f_measure: 0.8657, kappa: 0.7244, kb_relative_information_score: 25698.3219, mean_absolute_error: 0.2273, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8658, predictive_accuracy: 0.866, prior_entropy: 0.9835, recall: 0.866, relative_absolute_error: 0.4651, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3128, root_relative_squared_error: 0.6328, scimark_benchmark: 1276.1887, usercpu_time_millis: 786.829, usercpu_time_millis_testing: 58.578, usercpu_time_millis_training: 728.251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.9245, kappa: 0.8455, kb_relative_information_score: 33470.1501, mean_absolute_error: 0.139, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9245, predictive_accuracy: 0.9246, prior_entropy: 0.9835, recall: 0.9246, relative_absolute_error: 0.2845, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.241, root_relative_squared_error: 0.4875, scimark_benchmark: 1253.9446, usercpu_time_millis: 804.937, usercpu_time_millis_testing: 18.967, usercpu_time_millis_training: 785.97,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9334, f_measure: 0.851, kappa: 0.6942, kb_relative_information_score: 23929.0791, mean_absolute_error: 0.2473, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8514, predictive_accuracy: 0.8517, prior_entropy: 0.9835, recall: 0.8517, relative_absolute_error: 0.5061, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3266, root_relative_squared_error: 0.6609, scimark_benchmark: 1261.9032, usercpu_time_millis: 948.884, usercpu_time_millis_testing: 49.925, usercpu_time_millis_training: 898.959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9206, f_measure: 0.8376, kappa: 0.6665, kb_relative_information_score: 22446.9643, mean_absolute_error: 0.2634, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8383, predictive_accuracy: 0.8385, prior_entropy: 0.9835, recall: 0.8385, relative_absolute_error: 0.5391, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3404, root_relative_squared_error: 0.6887, scimark_benchmark: 1274.077, usercpu_time_millis: 591.488, usercpu_time_millis_testing: 41.821, usercpu_time_millis_training: 549.667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9695, f_measure: 0.9071, kappa: 0.8097, kb_relative_information_score: 31346.1832, mean_absolute_error: 0.1628, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.907, predictive_accuracy: 0.9071, prior_entropy: 0.9835, recall: 0.9071, relative_absolute_error: 0.3332, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2638, root_relative_squared_error: 0.5337, scimark_benchmark: 1278.4425, usercpu_time_millis: 521.325, usercpu_time_millis_testing: 11.993, usercpu_time_millis_training: 509.332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8316, f_measure: 0.7627, kappa: 0.5117, kb_relative_information_score: 17098.6482, mean_absolute_error: 0.3163, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7646, predictive_accuracy: 0.7654, prior_entropy: 0.9835, recall: 0.7654, relative_absolute_error: 0.6473, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.8163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9031, f_measure: 0.8215, kappa: 0.6331, kb_relative_information_score: 21010.5367, mean_absolute_error: 0.278, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8224, predictive_accuracy: 0.8227, prior_entropy: 0.9835, recall: 0.8227, relative_absolute_error: 0.5689, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3559, root_relative_squared_error: 0.7201, scimark_benchmark: 1285.6694, usercpu_time_millis: 671.21, usercpu_time_millis_testing: 49.707, usercpu_time_millis_training: 621.503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.803, f_measure: 0.6761, kappa: 0.3477, kb_relative_information_score: 9128.4092, mean_absolute_error: 0.4024, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7258, predictive_accuracy: 0.7018, prior_entropy: 0.9835, recall: 0.7018, relative_absolute_error: 0.8236, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4411, root_relative_squared_error: 0.8924, scimark_benchmark: 1319.3149, usercpu_time_millis: 7058.988, usercpu_time_millis_testing: 44.654, usercpu_time_millis_training: 7014.334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8249, f_measure: 0.755, kappa: 0.4957, kb_relative_information_score: 16024.5494, mean_absolute_error: 0.3289, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7592, predictive_accuracy: 0.759, prior_entropy: 0.9835, recall: 0.759, relative_absolute_error: 0.6732, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4064, root_relative_squared_error: 0.8223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8542, f_measure: 0.7804, kappa: 0.548, kb_relative_information_score: 18358.4169, mean_absolute_error: 0.3043, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7829, predictive_accuracy: 0.783, prior_entropy: 0.9835, recall: 0.783, relative_absolute_error: 0.6228, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3893, root_relative_squared_error: 0.7877, scimark_benchmark: 1283.1087, usercpu_time_millis: 9778.179, usercpu_time_millis_testing: 51.517, usercpu_time_millis_training: 9726.662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7999, f_measure: 0.7354, kappa: 0.4556, kb_relative_information_score: 13351.249, mean_absolute_error: 0.3581, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7427, predictive_accuracy: 0.7416, prior_entropy: 0.9835, recall: 0.7416, relative_absolute_error: 0.733, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.421, root_relative_squared_error: 0.8518, scimark_benchmark: 1312.3816, usercpu_time_millis: 6813.9, usercpu_time_millis_testing: 39.994, usercpu_time_millis_training: 6773.906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9557, f_measure: 0.8853, kappa: 0.7648, kb_relative_information_score: 27994.6121, mean_absolute_error: 0.2014, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8853, predictive_accuracy: 0.8855, prior_entropy: 0.9835, recall: 0.8855, relative_absolute_error: 0.4123, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2928, root_relative_squared_error: 0.5925, scimark_benchmark: 1242.7132, usercpu_time_millis: 62.767, usercpu_time_millis_testing: 3.29, usercpu_time_millis_training: 59.477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.9078, kappa: 0.8111, kb_relative_information_score: 30901.2494, mean_absolute_error: 0.1688, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9077, predictive_accuracy: 0.9078, prior_entropy: 0.9835, recall: 0.9078, relative_absolute_error: 0.3456, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2648, root_relative_squared_error: 0.5357, scimark_benchmark: 1244.1324, usercpu_time_millis: 1107.473, usercpu_time_millis_testing: 27.474, usercpu_time_millis_training: 1079.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8577, f_measure: 0.7855, kappa: 0.5586, kb_relative_information_score: 19168.9001, mean_absolute_error: 0.2967, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7876, predictive_accuracy: 0.7878, prior_entropy: 0.9835, recall: 0.7878, relative_absolute_error: 0.6073, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3865, root_relative_squared_error: 0.7819, scimark_benchmark: 1314.9114, usercpu_time_millis: 9159.808, usercpu_time_millis_testing: 52.548, usercpu_time_millis_training: 9107.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9224, f_measure: 0.84, kappa: 0.6718, kb_relative_information_score: 23755.2924, mean_absolute_error: 0.2465, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.84, predictive_accuracy: 0.8404, prior_entropy: 0.9835, recall: 0.8404, relative_absolute_error: 0.5046, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3359, root_relative_squared_error: 0.6795, scimark_benchmark: 1239.4526, usercpu_time_millis: 1329.135, usercpu_time_millis_testing: 54.696, usercpu_time_millis_training: 1274.439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9353, f_measure: 0.8525, kappa: 0.6974, kb_relative_information_score: 24906.1494, mean_absolute_error: 0.2348, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8526, predictive_accuracy: 0.853, prior_entropy: 0.9835, recall: 0.853, relative_absolute_error: 0.4806, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3223, root_relative_squared_error: 0.6521, scimark_benchmark: 1243.7713, usercpu_time_millis: 1588.842, usercpu_time_millis_testing: 66.607, usercpu_time_millis_training: 1522.235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.958, f_measure: 0.8881, kappa: 0.7707, kb_relative_information_score: 28070.0842, mean_absolute_error: 0.201, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8881, predictive_accuracy: 0.8883, prior_entropy: 0.9835, recall: 0.8883, relative_absolute_error: 0.4113, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2905, root_relative_squared_error: 0.5877, scimark_benchmark: 1231.0531, usercpu_time_millis: 1770.228, usercpu_time_millis_testing: 62.23, usercpu_time_millis_training: 1707.998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8227, f_measure: 0.7564, kappa: 0.4986, kb_relative_information_score: 16134.1782, mean_absolute_error: 0.328, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7613, predictive_accuracy: 0.7607, prior_entropy: 0.9835, recall: 0.7607, relative_absolute_error: 0.6713, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4068, root_relative_squared_error: 0.8231, scimark_benchmark: 1290.8572, usercpu_time_millis: 11164.489, usercpu_time_millis_testing: 69.301, usercpu_time_millis_training: 11095.188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9198, f_measure: 0.8374, kappa: 0.6663, kb_relative_information_score: 23099.7796, mean_absolute_error: 0.2544, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8375, predictive_accuracy: 0.8379, prior_entropy: 0.9835, recall: 0.8379, relative_absolute_error: 0.5207, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3395, root_relative_squared_error: 0.6868, scimark_benchmark: 1228.4999, usercpu_time_millis: 1453.896, usercpu_time_millis_testing: 65.619, usercpu_time_millis_training: 1388.277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, f_measure: 0.9122, kappa: 0.8202, kb_relative_information_score: 31359.5875, mean_absolute_error: 0.1638, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9122, predictive_accuracy: 0.9123, prior_entropy: 0.9835, recall: 0.9123, relative_absolute_error: 0.3353, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2593, root_relative_squared_error: 0.5247, scimark_benchmark: 1217.1978, usercpu_time_millis: 271.196, usercpu_time_millis_testing: 6.94, usercpu_time_millis_training: 264.256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8887, f_measure: 0.8104, kappa: 0.6111, kb_relative_information_score: 20601.5205, mean_absolute_error: 0.281, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8104, predictive_accuracy: 0.811, prior_entropy: 0.9835, recall: 0.811, relative_absolute_error: 0.575, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3656, root_relative_squared_error: 0.7396, scimark_benchmark: 1218.8902, usercpu_time_millis: 650.763, usercpu_time_millis_testing: 35.193, usercpu_time_millis_training: 615.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9197, f_measure: 0.8368, kappa: 0.6652, kb_relative_information_score: 23401.9575, mean_absolute_error: 0.2506, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8369, predictive_accuracy: 0.8374, prior_entropy: 0.9835, recall: 0.8374, relative_absolute_error: 0.513, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3387, root_relative_squared_error: 0.6853, scimark_benchmark: 1245.6502, usercpu_time_millis: 2038.464, usercpu_time_millis_testing: 114.55, usercpu_time_millis_training: 1923.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9086, f_measure: 0.8251, kappa: 0.6408, kb_relative_information_score: 21603.8632, mean_absolute_error: 0.2714, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8257, predictive_accuracy: 0.8261, prior_entropy: 0.9835, recall: 0.8261, relative_absolute_error: 0.5555, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3509, root_relative_squared_error: 0.71, scimark_benchmark: 1234.2116, usercpu_time_millis: 366.238, usercpu_time_millis_testing: 17.163, usercpu_time_millis_training: 349.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8836, f_measure: 0.8074, kappa: 0.6037, kb_relative_information_score: 19203.0682, mean_absolute_error: 0.2973, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8094, predictive_accuracy: 0.8093, prior_entropy: 0.9835, recall: 0.8093, relative_absolute_error: 0.6084, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.372, root_relative_squared_error: 0.7526, scimark_benchmark: 1235.6978, usercpu_time_millis: 1033.061, usercpu_time_millis_testing: 78.881, usercpu_time_millis_training: 954.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.742, f_measure: 0.6726, kappa: 0.3262, kb_relative_information_score: 8816.3302, mean_absolute_error: 0.4029, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.6735, predictive_accuracy: 0.6771, prior_entropy: 0.9835, recall: 0.6771, relative_absolute_error: 0.8246, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4493, root_relative_squared_error: 0.909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9277, f_measure: 0.8474, kappa: 0.6868, kb_relative_information_score: 23518.476, mean_absolute_error: 0.2516, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8478, predictive_accuracy: 0.8481, prior_entropy: 0.9835, recall: 0.8481, relative_absolute_error: 0.515, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3318, root_relative_squared_error: 0.6713, scimark_benchmark: 1235.1789, usercpu_time_millis: 50.524, usercpu_time_millis_testing: 3.06, usercpu_time_millis_training: 47.464,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9251, f_measure: 0.8421, kappa: 0.676, kb_relative_information_score: 23428.6342, mean_absolute_error: 0.2515, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8424, predictive_accuracy: 0.8428, prior_entropy: 0.9835, recall: 0.8428, relative_absolute_error: 0.5146, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3346, root_relative_squared_error: 0.6769, scimark_benchmark: 1228.7238, usercpu_time_millis: 1297.075, usercpu_time_millis_testing: 52.893, usercpu_time_millis_training: 1244.182,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9252, f_measure: 0.8446, kappa: 0.6808, kb_relative_information_score: 21262.1421, mean_absolute_error: 0.2797, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8454, predictive_accuracy: 0.8455, prior_entropy: 0.9835, recall: 0.8455, relative_absolute_error: 0.5725, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.342, root_relative_squared_error: 0.6919, scimark_benchmark: 1272.6439, usercpu_time_millis: 47.278, usercpu_time_millis_testing: 3.068, usercpu_time_millis_training: 44.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9143, f_measure: 0.8306, kappa: 0.6523, kb_relative_information_score: 22707.5952, mean_absolute_error: 0.2584, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8308, predictive_accuracy: 0.8313, prior_entropy: 0.9835, recall: 0.8313, relative_absolute_error: 0.5288, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3443, root_relative_squared_error: 0.6966, scimark_benchmark: 1276.3218, usercpu_time_millis: 191.289, usercpu_time_millis_testing: 9.162, usercpu_time_millis_training: 182.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.4204, kb_relative_information_score: -0.3925, 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: 1098.0055, usercpu_time_millis: 78.172, usercpu_time_millis_testing: 11.693, usercpu_time_millis_training: 66.479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8632, f_measure: 0.765, kappa: 0.5172, kb_relative_information_score: 16299.6321, mean_absolute_error: 0.3304, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7792, predictive_accuracy: 0.7722, prior_entropy: 0.9835, recall: 0.7722, relative_absolute_error: 0.6761, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3912, root_relative_squared_error: 0.7915, scimark_benchmark: 1849.9303, usercpu_time_millis: 111.149, usercpu_time_millis_testing: 7.895, usercpu_time_millis_training: 103.254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.867, f_measure: 0.7865, kappa: 0.5605, kb_relative_information_score: 17902.6317, mean_absolute_error: 0.3116, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7906, predictive_accuracy: 0.7896, prior_entropy: 0.9835, recall: 0.7896, relative_absolute_error: 0.6377, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3834, root_relative_squared_error: 0.7756, scimark_benchmark: 1063.0269, usercpu_time_millis: 336.568, usercpu_time_millis_testing: 18.786, usercpu_time_millis_training: 317.782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9484, f_measure: 0.8755, kappa: 0.745, kb_relative_information_score: 29316.4918, mean_absolute_error: 0.1818, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8754, predictive_accuracy: 0.8756, prior_entropy: 0.9835, recall: 0.8756, relative_absolute_error: 0.3721, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2984, root_relative_squared_error: 0.6038, scimark_benchmark: 1848.321, usercpu_time_millis: 61.636, usercpu_time_millis_testing: 1.058, usercpu_time_millis_training: 60.578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9666, f_measure: 0.9014, kappa: 0.798, kb_relative_information_score: 29827.3783, mean_absolute_error: 0.1813, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9014, predictive_accuracy: 0.9015, prior_entropy: 0.9835, recall: 0.9015, relative_absolute_error: 0.3711, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2737, root_relative_squared_error: 0.5537, scimark_benchmark: 1847.8629, usercpu_time_millis: 103.651, usercpu_time_millis_testing: 3.927, usercpu_time_millis_training: 99.724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8074, f_measure: 0.7513, kappa: 0.4899, kb_relative_information_score: 11342.1145, mean_absolute_error: 0.3859, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7703, predictive_accuracy: 0.7607, prior_entropy: 0.9835, recall: 0.7607, relative_absolute_error: 0.7897, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.421, root_relative_squared_error: 0.8518, scimark_benchmark: 1835.2001, usercpu_time_millis: 143.564, usercpu_time_millis_testing: 11.52, usercpu_time_millis_training: 132.044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: -1.8532, 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: 1234.6801, usercpu_time_millis: 146.275, usercpu_time_millis_testing: 9.002, usercpu_time_millis_training: 137.273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8744, f_measure: 0.7852, kappa: 0.5581, kb_relative_information_score: 15317.9855, mean_absolute_error: 0.3434, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.796, predictive_accuracy: 0.7905, prior_entropy: 0.9835, recall: 0.7905, relative_absolute_error: 0.7029, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3893, root_relative_squared_error: 0.7876, scimark_benchmark: 1269.0189, usercpu_time_millis: 686.295, usercpu_time_millis_testing: 56.105, usercpu_time_millis_training: 630.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8567, f_measure: 0.7677, kappa: 0.5222, kb_relative_information_score: 17101.2492, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.778, predictive_accuracy: 0.7736, prior_entropy: 0.9835, recall: 0.7736, relative_absolute_error: 0.6549, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3908, root_relative_squared_error: 0.7906, scimark_benchmark: 1066.045, usercpu_time_millis: 252.854, usercpu_time_millis_testing: 11.984, usercpu_time_millis_training: 240.87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: 0.3348, 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: 1239.933, usercpu_time_millis: 90.023, usercpu_time_millis_testing: 11.716, usercpu_time_millis_training: 78.307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9143, f_measure: 0.8299, kappa: 0.6504, kb_relative_information_score: 21659.6903, mean_absolute_error: 0.272, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8308, predictive_accuracy: 0.831, prior_entropy: 0.9835, recall: 0.831, relative_absolute_error: 0.5566, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.347, root_relative_squared_error: 0.7021, scimark_benchmark: 1281.8949, usercpu_time_millis: 715.57, usercpu_time_millis_testing: 44.884, usercpu_time_millis_training: 670.686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8962, f_measure: 0.8135, kappa: 0.6163, kb_relative_information_score: 19646.9973, mean_absolute_error: 0.294, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8161, predictive_accuracy: 0.8155, prior_entropy: 0.9835, recall: 0.8155, relative_absolute_error: 0.6016, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3638, root_relative_squared_error: 0.736, scimark_benchmark: 1488.097, usercpu_time_millis: 291.354, usercpu_time_millis_testing: 17.061, usercpu_time_millis_training: 274.293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8344, f_measure: 0.7525, kappa: 0.4918, kb_relative_information_score: 14885.9912, mean_absolute_error: 0.3446, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7678, predictive_accuracy: 0.7607, prior_entropy: 0.9835, recall: 0.7607, relative_absolute_error: 0.7053, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4065, root_relative_squared_error: 0.8225, scimark_benchmark: 1843.7454, usercpu_time_millis: 4.292, usercpu_time_millis_testing: 0.24, usercpu_time_millis_training: 4.052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.819, f_measure: 0.7495, kappa: 0.4871, kb_relative_information_score: 9014.37, mean_absolute_error: 0.4098, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7736, predictive_accuracy: 0.7604, prior_entropy: 0.9835, recall: 0.7604, relative_absolute_error: 0.8387, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4309, root_relative_squared_error: 0.8719, scimark_benchmark: 1840.2451, usercpu_time_millis: 6.058, usercpu_time_millis_testing: 0.532, usercpu_time_millis_training: 5.526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.896, f_measure: 0.8161, kappa: 0.6225, kb_relative_information_score: 20999.409, mean_absolute_error: 0.277, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8161, predictive_accuracy: 0.8168, prior_entropy: 0.9835, recall: 0.8168, relative_absolute_error: 0.5668, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3603, root_relative_squared_error: 0.729, scimark_benchmark: 1260.8628, usercpu_time_millis: 1004.289, usercpu_time_millis_testing: 71.316, usercpu_time_millis_training: 932.973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8797, f_measure: 0.7893, kappa: 0.5663, kb_relative_information_score: 17623.496, mean_absolute_error: 0.3161, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7974, predictive_accuracy: 0.7937, prior_entropy: 0.9835, recall: 0.7937, relative_absolute_error: 0.647, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.379, root_relative_squared_error: 0.7668, scimark_benchmark: 1846.4335, usercpu_time_millis: 121.472, usercpu_time_millis_testing: 13.806, usercpu_time_millis_training: 107.666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, f_measure: 0.7915, kappa: 0.571, kb_relative_information_score: 18161.9216, mean_absolute_error: 0.3093, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7988, predictive_accuracy: 0.7957, prior_entropy: 0.9835, recall: 0.7957, relative_absolute_error: 0.633, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3781, root_relative_squared_error: 0.765, scimark_benchmark: 1207.9497, usercpu_time_millis: 214.169, usercpu_time_millis_testing: 20.833, usercpu_time_millis_training: 193.336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8903, f_measure: 0.8129, kappa: 0.6165, kb_relative_information_score: 20798.3725, mean_absolute_error: 0.2788, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8128, predictive_accuracy: 0.8133, prior_entropy: 0.9835, recall: 0.8133, relative_absolute_error: 0.5706, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3643, root_relative_squared_error: 0.737, scimark_benchmark: 1237.6162, usercpu_time_millis: 357.959, usercpu_time_millis_testing: 14.551, usercpu_time_millis_training: 343.408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8293, f_measure: 0.7531, kappa: 0.494, kb_relative_information_score: 9953.9461, mean_absolute_error: 0.4006, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.775, predictive_accuracy: 0.7632, prior_entropy: 0.9835, recall: 0.7632, relative_absolute_error: 0.8198, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4248, root_relative_squared_error: 0.8594, scimark_benchmark: 1231.3134, usercpu_time_millis: 88.847, usercpu_time_millis_testing: 7.325, usercpu_time_millis_training: 81.522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9209, f_measure: 0.8381, kappa: 0.6677, kb_relative_information_score: 23404.4928, mean_absolute_error: 0.2507, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8382, predictive_accuracy: 0.8387, prior_entropy: 0.9835, recall: 0.8387, relative_absolute_error: 0.5131, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3379, root_relative_squared_error: 0.6836, scimark_benchmark: 1258.4865, usercpu_time_millis: 2509.146, usercpu_time_millis_testing: 116.527, usercpu_time_millis_training: 2392.619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8797, f_measure: 0.7947, kappa: 0.5773, kb_relative_information_score: 18358.5953, mean_absolute_error: 0.3071, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8009, predictive_accuracy: 0.7983, prior_entropy: 0.9835, recall: 0.7983, relative_absolute_error: 0.6285, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3767, root_relative_squared_error: 0.7622, scimark_benchmark: 1282.3921, usercpu_time_millis: 122.884, usercpu_time_millis_testing: 9.161, usercpu_time_millis_training: 113.723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8772, f_measure: 0.8019, kappa: 0.5935, kb_relative_information_score: 19550.9905, mean_absolute_error: 0.2928, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8019, predictive_accuracy: 0.8026, prior_entropy: 0.9835, recall: 0.8026, relative_absolute_error: 0.5992, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3744, root_relative_squared_error: 0.7575, scimark_benchmark: 1275.8399, usercpu_time_millis: 391.095, usercpu_time_millis_testing: 19.244, usercpu_time_millis_training: 371.851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.892, f_measure: 0.809, kappa: 0.6069, kb_relative_information_score: 17437.9129, mean_absolute_error: 0.3206, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8136, predictive_accuracy: 0.8118, prior_entropy: 0.9835, recall: 0.8118, relative_absolute_error: 0.6562, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3737, root_relative_squared_error: 0.756, scimark_benchmark: 1277.9633, usercpu_time_millis: 1244.858, usercpu_time_millis_testing: 111.721, usercpu_time_millis_training: 1133.137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8256, f_measure: 0.7486, kappa: 0.484, kb_relative_information_score: 15680.7141, mean_absolute_error: 0.3336, 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: 0.6828, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.407, root_relative_squared_error: 0.8235, scimark_benchmark: 1729.2113, usercpu_time_millis: 12.261, usercpu_time_millis_testing: 0.543, usercpu_time_millis_training: 11.718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8386, f_measure: 0.7532, kappa: 0.493, kb_relative_information_score: 14370.0798, mean_absolute_error: 0.3513, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7671, predictive_accuracy: 0.761, prior_entropy: 0.9835, recall: 0.761, relative_absolute_error: 0.719, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4072, root_relative_squared_error: 0.8238, scimark_benchmark: 1708.8306, usercpu_time_millis: 29.578, usercpu_time_millis_testing: 1.545, usercpu_time_millis_training: 28.033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.4204, kb_relative_information_score: -1.0315, 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: 1834.6984, usercpu_time_millis: 42.927, usercpu_time_millis_testing: 7.274, usercpu_time_millis_training: 35.653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9117, f_measure: 0.8282, kappa: 0.6474, kb_relative_information_score: 22455.4611, mean_absolute_error: 0.2611, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8284, predictive_accuracy: 0.8289, prior_entropy: 0.9835, recall: 0.8289, relative_absolute_error: 0.5343, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3467, root_relative_squared_error: 0.7015, scimark_benchmark: 1262.5217, usercpu_time_millis: 621.713, usercpu_time_millis_testing: 32.921, usercpu_time_millis_training: 588.792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8046, f_measure: 0.7539, kappa: 0.495, kb_relative_information_score: 11298.2147, mean_absolute_error: 0.3865, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7718, predictive_accuracy: 0.7628, prior_entropy: 0.9835, recall: 0.7628, relative_absolute_error: 0.7911, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4218, root_relative_squared_error: 0.8534, scimark_benchmark: 1732.9537, usercpu_time_millis: 62.169, usercpu_time_millis_testing: 7.877, usercpu_time_millis_training: 54.292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8491, f_measure: 0.7567, kappa: 0.5008, kb_relative_information_score: 13567.7352, mean_absolute_error: 0.3618, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7752, predictive_accuracy: 0.7656, prior_entropy: 0.9835, recall: 0.7656, relative_absolute_error: 0.7404, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4055, root_relative_squared_error: 0.8205, scimark_benchmark: 1232.0879, usercpu_time_millis: 60.855, usercpu_time_millis_testing: 2.666, usercpu_time_millis_training: 58.189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8692, f_measure: 0.7782, kappa: 0.5441, kb_relative_information_score: 14711.8212, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7912, predictive_accuracy: 0.7845, prior_entropy: 0.9835, recall: 0.7845, relative_absolute_error: 0.7163, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3936, root_relative_squared_error: 0.7963, scimark_benchmark: 1239.7219, usercpu_time_millis: 62.778, usercpu_time_millis_testing: 3.448, usercpu_time_millis_training: 59.33,

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