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: 0.9373, f_measure: 0.8563, kappa: 0.7052, kb_relative_information_score: 25296.9384, mean_absolute_error: 0.2304, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8565, predictive_accuracy: 0.8568, prior_entropy: 0.9835, recall: 0.8568, relative_absolute_error: 0.4715, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3195, root_relative_squared_error: 0.6463, scimark_benchmark: 1281.1716, usercpu_time_millis: 2710.895, usercpu_time_millis_testing: 98.943, usercpu_time_millis_training: 2611.952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9151, f_measure: 0.8309, kappa: 0.6529, kb_relative_information_score: 22583.7531, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8312, predictive_accuracy: 0.8316, prior_entropy: 0.9835, recall: 0.8316, relative_absolute_error: 0.5321, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3441, root_relative_squared_error: 0.6963, scimark_benchmark: 1272.6408, usercpu_time_millis: 3469.669, usercpu_time_millis_testing: 108.234, usercpu_time_millis_training: 3361.435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9659, f_measure: 0.9005, kappa: 0.7963, kb_relative_information_score: 29607.7517, mean_absolute_error: 0.1839, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9005, predictive_accuracy: 0.9006, prior_entropy: 0.9835, recall: 0.9006, relative_absolute_error: 0.3765, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2754, root_relative_squared_error: 0.5571, scimark_benchmark: 1255.9073, usercpu_time_millis: 662.48, usercpu_time_millis_testing: 16.642, usercpu_time_millis_training: 645.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9461, f_measure: 0.8683, kappa: 0.7296, kb_relative_information_score: 25003.0168, mean_absolute_error: 0.2372, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8687, predictive_accuracy: 0.8688, prior_entropy: 0.9835, recall: 0.8688, relative_absolute_error: 0.4855, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3127, root_relative_squared_error: 0.6326, scimark_benchmark: 1264.8507, usercpu_time_millis: 222.179, usercpu_time_millis_testing: 11.936, usercpu_time_millis_training: 210.243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9563, f_measure: 0.8854, kappa: 0.765, kb_relative_information_score: 27797.9385, mean_absolute_error: 0.204, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8854, predictive_accuracy: 0.8856, prior_entropy: 0.9835, recall: 0.8856, relative_absolute_error: 0.4174, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2933, root_relative_squared_error: 0.5933, scimark_benchmark: 1262.3972, usercpu_time_millis: 784.97, usercpu_time_millis_testing: 26.245, usercpu_time_millis_training: 758.725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8981, f_measure: 0.8142, kappa: 0.6178, kb_relative_information_score: 19512.834, mean_absolute_error: 0.2959, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8174, predictive_accuracy: 0.8165, prior_entropy: 0.9835, recall: 0.8165, relative_absolute_error: 0.6056, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.735, scimark_benchmark: 1260.0514, usercpu_time_millis: 1098.803, usercpu_time_millis_testing: 97.773, usercpu_time_millis_training: 1001.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9706, f_measure: 0.9093, kappa: 0.8142, kb_relative_information_score: 31058.179, mean_absolute_error: 0.1671, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9092, predictive_accuracy: 0.9093, prior_entropy: 0.9835, recall: 0.9093, relative_absolute_error: 0.3419, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2631, root_relative_squared_error: 0.5323, scimark_benchmark: 1244.7119, usercpu_time_millis: 570.873, usercpu_time_millis_testing: 11.74, usercpu_time_millis_training: 559.133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9138, f_measure: 0.8268, kappa: 0.6437, kb_relative_information_score: 19370.9582, mean_absolute_error: 0.3006, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8296, predictive_accuracy: 0.8287, prior_entropy: 0.9835, recall: 0.8287, relative_absolute_error: 0.6152, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3561, root_relative_squared_error: 0.7205, scimark_benchmark: 1279.0007, usercpu_time_millis: 840.571, usercpu_time_millis_testing: 47.192, usercpu_time_millis_training: 793.379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8906, f_measure: 0.8067, kappa: 0.6023, kb_relative_information_score: 19160.9803, mean_absolute_error: 0.2989, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.81, predictive_accuracy: 0.8091, prior_entropy: 0.9835, recall: 0.8091, relative_absolute_error: 0.6118, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3684, root_relative_squared_error: 0.7454, scimark_benchmark: 1257.3354, usercpu_time_millis: 1345.679, usercpu_time_millis_testing: 71.275, usercpu_time_millis_training: 1274.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9416, f_measure: 0.8623, kappa: 0.7174, kb_relative_information_score: 25331.0794, mean_absolute_error: 0.2311, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8626, predictive_accuracy: 0.8628, prior_entropy: 0.9835, recall: 0.8628, relative_absolute_error: 0.473, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3157, root_relative_squared_error: 0.6388, scimark_benchmark: 1255.2503, usercpu_time_millis: 2465.313, usercpu_time_millis_testing: 96.801, usercpu_time_millis_training: 2368.512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8882, f_measure: 0.8068, kappa: 0.6026, kb_relative_information_score: 19250.5274, mean_absolute_error: 0.2974, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8094, predictive_accuracy: 0.809, prior_entropy: 0.9835, recall: 0.809, relative_absolute_error: 0.6086, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3694, root_relative_squared_error: 0.7473, scimark_benchmark: 1247.9263, usercpu_time_millis: 747.527, usercpu_time_millis_testing: 42.566, usercpu_time_millis_training: 704.961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8669, f_measure: 0.7642, kappa: 0.5165, kb_relative_information_score: 10263.7814, mean_absolute_error: 0.3981, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.786, predictive_accuracy: 0.7735, prior_entropy: 0.9835, recall: 0.7735, relative_absolute_error: 0.8147, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4189, root_relative_squared_error: 0.8476, scimark_benchmark: 1276.5923, usercpu_time_millis: 95.52, usercpu_time_millis_testing: 7.27, usercpu_time_millis_training: 88.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8994, f_measure: 0.8166, kappa: 0.6233, kb_relative_information_score: 21107.9806, mean_absolute_error: 0.276, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8169, predictive_accuracy: 0.8174, prior_entropy: 0.9835, recall: 0.8174, relative_absolute_error: 0.5649, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3581, root_relative_squared_error: 0.7245, scimark_benchmark: 1267.3828, usercpu_time_millis: 2111.511, usercpu_time_millis_testing: 82.001, usercpu_time_millis_training: 2029.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8864, f_measure: 0.8076, kappa: 0.605, kb_relative_information_score: 20055.9145, mean_absolute_error: 0.2873, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8078, predictive_accuracy: 0.8085, prior_entropy: 0.9835, recall: 0.8085, relative_absolute_error: 0.5881, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3681, root_relative_squared_error: 0.7447, scimark_benchmark: 1238.0253, usercpu_time_millis: 576.307, usercpu_time_millis_testing: 41.97, usercpu_time_millis_training: 534.337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9054, f_measure: 0.8223, kappa: 0.6348, kb_relative_information_score: 21157.0297, mean_absolute_error: 0.2764, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8233, predictive_accuracy: 0.8236, prior_entropy: 0.9835, recall: 0.8236, relative_absolute_error: 0.5658, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3541, root_relative_squared_error: 0.7165, scimark_benchmark: 1275.1275, usercpu_time_millis: 513.66, usercpu_time_millis_testing: 28.935, usercpu_time_millis_training: 484.725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8966, f_measure: 0.8136, kappa: 0.6167, kb_relative_information_score: 19850.4483, mean_absolute_error: 0.2914, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8158, predictive_accuracy: 0.8155, prior_entropy: 0.9835, recall: 0.8155, relative_absolute_error: 0.5963, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.363, root_relative_squared_error: 0.7344, scimark_benchmark: 1264.7135, usercpu_time_millis: 1188.914, usercpu_time_millis_testing: 68.058, usercpu_time_millis_training: 1120.856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9292, f_measure: 0.8469, kappa: 0.6858, kb_relative_information_score: 24276.1385, mean_absolute_error: 0.2414, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.847, predictive_accuracy: 0.8474, prior_entropy: 0.9835, recall: 0.8474, relative_absolute_error: 0.494, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3291, root_relative_squared_error: 0.6658, scimark_benchmark: 1275.4141, usercpu_time_millis: 2322.004, usercpu_time_millis_testing: 69.781, usercpu_time_millis_training: 2252.223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.864, f_measure: 0.7613, kappa: 0.5108, kb_relative_information_score: 10084.6021, mean_absolute_error: 0.3998, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7839, predictive_accuracy: 0.771, prior_entropy: 0.9835, recall: 0.771, relative_absolute_error: 0.8182, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4204, root_relative_squared_error: 0.8505, scimark_benchmark: 1255.0606, usercpu_time_millis: 953.352, usercpu_time_millis_testing: 70.627, usercpu_time_millis_training: 882.725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.9102, kappa: 0.816, kb_relative_information_score: 30430.1694, mean_absolute_error: 0.1756, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9102, predictive_accuracy: 0.9103, prior_entropy: 0.9835, recall: 0.9103, relative_absolute_error: 0.3594, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2641, root_relative_squared_error: 0.5344, scimark_benchmark: 1259.7933, usercpu_time_millis: 861.023, usercpu_time_millis_testing: 26.277, usercpu_time_millis_training: 834.746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.911, f_measure: 0.8277, kappa: 0.6463, kb_relative_information_score: 22421.2965, mean_absolute_error: 0.2612, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8278, predictive_accuracy: 0.8283, prior_entropy: 0.9835, recall: 0.8283, relative_absolute_error: 0.5346, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3474, root_relative_squared_error: 0.7028, scimark_benchmark: 1250.6678, usercpu_time_millis: 317.974, usercpu_time_millis_testing: 10.139, usercpu_time_millis_training: 307.835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9233, f_measure: 0.8403, kappa: 0.6721, kb_relative_information_score: 23113.8862, mean_absolute_error: 0.255, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8407, predictive_accuracy: 0.8411, prior_entropy: 0.9835, recall: 0.8411, relative_absolute_error: 0.522, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3368, root_relative_squared_error: 0.6815, scimark_benchmark: 1264.5882, usercpu_time_millis: 867.397, usercpu_time_millis_testing: 43.876, usercpu_time_millis_training: 823.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9417, f_measure: 0.8664, kappa: 0.7262, kb_relative_information_score: 26443.9013, mean_absolute_error: 0.2169, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8664, predictive_accuracy: 0.8667, prior_entropy: 0.9835, recall: 0.8667, relative_absolute_error: 0.4439, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3122, root_relative_squared_error: 0.6317, scimark_benchmark: 1265.4077, usercpu_time_millis: 4869.866, usercpu_time_millis_testing: 80.917, usercpu_time_millis_training: 4788.949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9524, f_measure: 0.88, kappa: 0.754, kb_relative_information_score: 27309.5839, mean_absolute_error: 0.2091, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.88, predictive_accuracy: 0.8802, prior_entropy: 0.9835, recall: 0.8802, relative_absolute_error: 0.428, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2988, root_relative_squared_error: 0.6046, scimark_benchmark: 1267.1637, usercpu_time_millis: 828.342, usercpu_time_millis_testing: 28.222, usercpu_time_millis_training: 800.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9558, f_measure: 0.8859, kappa: 0.7661, kb_relative_information_score: 28343.3796, mean_absolute_error: 0.1967, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8858, predictive_accuracy: 0.886, prior_entropy: 0.9835, recall: 0.886, relative_absolute_error: 0.4027, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2921, root_relative_squared_error: 0.5909, scimark_benchmark: 1244.8302, usercpu_time_millis: 3590.38, usercpu_time_millis_testing: 61.947, usercpu_time_millis_training: 3528.433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.939, f_measure: 0.8587, kappa: 0.71, kb_relative_information_score: 25374.0106, mean_absolute_error: 0.2298, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8589, predictive_accuracy: 0.8592, prior_entropy: 0.9835, recall: 0.8592, relative_absolute_error: 0.4704, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3178, root_relative_squared_error: 0.6429, scimark_benchmark: 1280.0321, usercpu_time_millis: 66.898, usercpu_time_millis_testing: 2.637, usercpu_time_millis_training: 64.261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8722, f_measure: 0.7655, kappa: 0.5192, kb_relative_information_score: 10405.6268, mean_absolute_error: 0.3968, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7865, predictive_accuracy: 0.7746, prior_entropy: 0.9835, recall: 0.7746, relative_absolute_error: 0.8122, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4175, root_relative_squared_error: 0.8446, scimark_benchmark: 1271.1788, usercpu_time_millis: 195.417, usercpu_time_millis_testing: 14.066, usercpu_time_millis_training: 181.351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, f_measure: 0.927, kappa: 0.8505, kb_relative_information_score: 35405.1549, mean_absolute_error: 0.114, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9269, predictive_accuracy: 0.927, prior_entropy: 0.9835, recall: 0.927, relative_absolute_error: 0.2333, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2343, root_relative_squared_error: 0.4741, scimark_benchmark: 1255.029, usercpu_time_millis: 769.525, usercpu_time_millis_testing: 11.276, usercpu_time_millis_training: 758.249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9587, f_measure: 0.8908, kappa: 0.7764, kb_relative_information_score: 28566.3156, mean_absolute_error: 0.195, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8908, predictive_accuracy: 0.891, prior_entropy: 0.9835, recall: 0.891, relative_absolute_error: 0.3992, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2877, root_relative_squared_error: 0.5821, scimark_benchmark: 1262.5425, usercpu_time_millis: 2437.823, usercpu_time_millis_testing: 64.421, usercpu_time_millis_training: 2373.402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9642, f_measure: 0.899, kappa: 0.7931, kb_relative_information_score: 29518.7225, mean_absolute_error: 0.1847, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8989, predictive_accuracy: 0.8991, prior_entropy: 0.9835, recall: 0.8991, relative_absolute_error: 0.3779, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2776, root_relative_squared_error: 0.5617, scimark_benchmark: 1265.6825, usercpu_time_millis: 682.162, usercpu_time_millis_testing: 21.895, usercpu_time_millis_training: 660.267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9565, f_measure: 0.8876, kappa: 0.7697, kb_relative_information_score: 28314.1188, mean_absolute_error: 0.1976, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8876, predictive_accuracy: 0.8877, prior_entropy: 0.9835, recall: 0.8877, relative_absolute_error: 0.4044, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.291, root_relative_squared_error: 0.5888, scimark_benchmark: 1256.9208, usercpu_time_millis: 639.037, usercpu_time_millis_testing: 17.196, usercpu_time_millis_training: 621.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9197, f_measure: 0.836, kappa: 0.6635, kb_relative_information_score: 23388.6066, mean_absolute_error: 0.2506, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8361, predictive_accuracy: 0.8366, prior_entropy: 0.9835, recall: 0.8366, relative_absolute_error: 0.5128, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3388, root_relative_squared_error: 0.6854, scimark_benchmark: 1271.363, usercpu_time_millis: 2902.831, usercpu_time_millis_testing: 106.243, usercpu_time_millis_training: 2796.588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9008, f_measure: 0.8147, kappa: 0.6187, kb_relative_information_score: 18191.4876, mean_absolute_error: 0.3128, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8187, predictive_accuracy: 0.8172, prior_entropy: 0.9835, recall: 0.8172, relative_absolute_error: 0.6401, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3669, root_relative_squared_error: 0.7424, scimark_benchmark: 1284.5102, usercpu_time_millis: 444.653, usercpu_time_millis_testing: 28.309, usercpu_time_millis_training: 416.344,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9249, f_measure: 0.8403, kappa: 0.6718, kb_relative_information_score: 22342.642, mean_absolute_error: 0.2655, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8413, predictive_accuracy: 0.8413, prior_entropy: 0.9835, recall: 0.8413, relative_absolute_error: 0.5433, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3381, root_relative_squared_error: 0.684, scimark_benchmark: 1274.8983, usercpu_time_millis: 806.162, usercpu_time_millis_testing: 37.982, usercpu_time_millis_training: 768.18,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.886, f_measure: 0.7972, kappa: 0.5826, kb_relative_information_score: 16673.106, mean_absolute_error: 0.3289, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.804, predictive_accuracy: 0.801, prior_entropy: 0.9835, recall: 0.801, relative_absolute_error: 0.673, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3794, root_relative_squared_error: 0.7676, scimark_benchmark: 1301.3611, usercpu_time_millis: 690.458, usercpu_time_millis_testing: 43.695, usercpu_time_millis_training: 646.763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.906, f_measure: 0.8231, kappa: 0.6365, kb_relative_information_score: 21252.2408, mean_absolute_error: 0.2754, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8242, predictive_accuracy: 0.8244, prior_entropy: 0.9835, recall: 0.8244, relative_absolute_error: 0.5637, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3535, root_relative_squared_error: 0.7152, scimark_benchmark: 1305.2265, usercpu_time_millis: 887.251, usercpu_time_millis_testing: 69.572, usercpu_time_millis_training: 817.679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.9164, kappa: 0.829, kb_relative_information_score: 33046.7289, mean_absolute_error: 0.1422, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9164, predictive_accuracy: 0.9164, prior_entropy: 0.9835, recall: 0.9164, relative_absolute_error: 0.291, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2523, root_relative_squared_error: 0.5105, scimark_benchmark: 1292.2888, usercpu_time_millis: 81.79, usercpu_time_millis_testing: 1.248, usercpu_time_millis_training: 80.542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.876, f_measure: 0.7826, kappa: 0.5527, kb_relative_information_score: 16712.0773, mean_absolute_error: 0.3268, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7932, predictive_accuracy: 0.788, prior_entropy: 0.9835, recall: 0.788, relative_absolute_error: 0.6688, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3837, root_relative_squared_error: 0.7763, scimark_benchmark: 1289.3458, usercpu_time_millis: 867.693, usercpu_time_millis_testing: 65.519, usercpu_time_millis_training: 802.174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9069, f_measure: 0.8247, kappa: 0.6405, kb_relative_information_score: 22403.8424, mean_absolute_error: 0.2605, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8247, predictive_accuracy: 0.8252, prior_entropy: 0.9835, recall: 0.8252, relative_absolute_error: 0.5331, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3504, root_relative_squared_error: 0.709, scimark_benchmark: 1288.0402, usercpu_time_millis: 1937.776, usercpu_time_millis_testing: 61.384, usercpu_time_millis_training: 1876.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8583, f_measure: 0.7594, kappa: 0.5072, kb_relative_information_score: 9871.6104, mean_absolute_error: 0.4018, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7832, predictive_accuracy: 0.7696, prior_entropy: 0.9835, recall: 0.7696, relative_absolute_error: 0.8222, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4222, root_relative_squared_error: 0.8543, scimark_benchmark: 1286.9592, usercpu_time_millis: 294.774, usercpu_time_millis_testing: 29.036, usercpu_time_millis_training: 265.738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.8973, kappa: 0.7896, kb_relative_information_score: 29245.0647, mean_absolute_error: 0.1878, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8972, predictive_accuracy: 0.8974, prior_entropy: 0.9835, recall: 0.8974, relative_absolute_error: 0.3844, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2797, root_relative_squared_error: 0.566, scimark_benchmark: 1303.3775, usercpu_time_millis: 1709.486, usercpu_time_millis_testing: 50.95, usercpu_time_millis_training: 1658.536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9516, f_measure: 0.8772, kappa: 0.7482, kb_relative_information_score: 27078.0679, mean_absolute_error: 0.2115, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8772, predictive_accuracy: 0.8774, prior_entropy: 0.9835, recall: 0.8774, relative_absolute_error: 0.4328, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3008, root_relative_squared_error: 0.6086, scimark_benchmark: 1288.4152, usercpu_time_millis: 2008.391, usercpu_time_millis_testing: 52.562, usercpu_time_millis_training: 1955.829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9554, f_measure: 0.8869, kappa: 0.768, kb_relative_information_score: 27130.5945, mean_absolute_error: 0.2132, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.887, predictive_accuracy: 0.8871, prior_entropy: 0.9835, recall: 0.8871, relative_absolute_error: 0.4364, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2955, root_relative_squared_error: 0.5979, scimark_benchmark: 1298.7436, usercpu_time_millis: 55.06, usercpu_time_millis_testing: 2.278, usercpu_time_millis_training: 52.782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.942, f_measure: 0.8646, kappa: 0.7222, kb_relative_information_score: 26061.7533, mean_absolute_error: 0.2218, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8647, predictive_accuracy: 0.865, prior_entropy: 0.9835, recall: 0.865, relative_absolute_error: 0.4539, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3131, root_relative_squared_error: 0.6334, scimark_benchmark: 1274.364, usercpu_time_millis: 910.329, usercpu_time_millis_testing: 24.181, usercpu_time_millis_training: 886.148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9069, f_measure: 0.8209, kappa: 0.6315, kb_relative_information_score: 18808.2476, mean_absolute_error: 0.3063, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8244, predictive_accuracy: 0.8231, prior_entropy: 0.9835, recall: 0.8231, relative_absolute_error: 0.6268, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.7318, scimark_benchmark: 1291.3006, usercpu_time_millis: 715.99, usercpu_time_millis_testing: 48.815, usercpu_time_millis_training: 667.175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9113, f_measure: 0.8253, kappa: 0.6406, kb_relative_information_score: 19189.2837, mean_absolute_error: 0.3024, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8283, predictive_accuracy: 0.8273, prior_entropy: 0.9835, recall: 0.8273, relative_absolute_error: 0.6189, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.358, root_relative_squared_error: 0.7243, scimark_benchmark: 1288.4942, usercpu_time_millis: 1751.175, usercpu_time_millis_testing: 114.438, usercpu_time_millis_training: 1636.737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9522, f_measure: 0.8801, kappa: 0.7544, kb_relative_information_score: 27675.7411, mean_absolute_error: 0.2044, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8801, predictive_accuracy: 0.8803, prior_entropy: 0.9835, recall: 0.8803, relative_absolute_error: 0.4183, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2977, root_relative_squared_error: 0.6024, scimark_benchmark: 1293.6225, usercpu_time_millis: 125.775, usercpu_time_millis_testing: 4.105, usercpu_time_millis_training: 121.67,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9124, f_measure: 0.8293, kappa: 0.6499, kb_relative_information_score: 22931.9974, mean_absolute_error: 0.2547, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8293, predictive_accuracy: 0.8298, prior_entropy: 0.9835, recall: 0.8298, relative_absolute_error: 0.5213, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3453, root_relative_squared_error: 0.6987, scimark_benchmark: 1308.1201, usercpu_time_millis: 3875.178, usercpu_time_millis_testing: 94.907, usercpu_time_millis_training: 3780.271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9144, f_measure: 0.8293, kappa: 0.649, kb_relative_information_score: 21195.2316, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8307, predictive_accuracy: 0.8306, prior_entropy: 0.9835, recall: 0.8306, relative_absolute_error: 0.5685, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3486, root_relative_squared_error: 0.7052, scimark_benchmark: 1296.5962, usercpu_time_millis: 1183.187, usercpu_time_millis_testing: 66.311, usercpu_time_millis_training: 1116.876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8578, f_measure: 0.7601, kappa: 0.5087, kb_relative_information_score: 9876.6334, mean_absolute_error: 0.4016, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7841, predictive_accuracy: 0.7703, prior_entropy: 0.9835, recall: 0.7703, relative_absolute_error: 0.8218, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4222, root_relative_squared_error: 0.8542, scimark_benchmark: 1300.6394, usercpu_time_millis: 34.627, usercpu_time_millis_testing: 2.483, usercpu_time_millis_training: 32.144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9113, f_measure: 0.828, kappa: 0.6469, kb_relative_information_score: 23467.1489, mean_absolute_error: 0.2474, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.828, predictive_accuracy: 0.8286, prior_entropy: 0.9835, recall: 0.8286, relative_absolute_error: 0.5062, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3452, root_relative_squared_error: 0.6984, scimark_benchmark: 1309.3318, usercpu_time_millis: 4454.81, usercpu_time_millis_testing: 83.776, usercpu_time_millis_training: 4371.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9475, f_measure: 0.8719, kappa: 0.7372, kb_relative_information_score: 26293.6202, mean_absolute_error: 0.2208, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.872, predictive_accuracy: 0.8722, prior_entropy: 0.9835, recall: 0.8722, relative_absolute_error: 0.4519, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.307, root_relative_squared_error: 0.621, scimark_benchmark: 1284.2387, usercpu_time_millis: 379.479, usercpu_time_millis_testing: 21.447, usercpu_time_millis_training: 358.032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9306, f_measure: 0.8486, kappa: 0.689, kb_relative_information_score: 23654.4777, mean_absolute_error: 0.2501, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8492, predictive_accuracy: 0.8494, prior_entropy: 0.9835, recall: 0.8494, relative_absolute_error: 0.5119, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3297, root_relative_squared_error: 0.6671, scimark_benchmark: 1276.8787, usercpu_time_millis: 944.398, usercpu_time_millis_testing: 67.795, usercpu_time_millis_training: 876.603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9309, f_measure: 0.8482, kappa: 0.6882, kb_relative_information_score: 23700.3339, mean_absolute_error: 0.2493, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8487, predictive_accuracy: 0.8489, prior_entropy: 0.9835, recall: 0.8489, relative_absolute_error: 0.5103, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3294, root_relative_squared_error: 0.6665, scimark_benchmark: 1285.7265, usercpu_time_millis: 2100.653, usercpu_time_millis_testing: 92.861, usercpu_time_millis_training: 2007.792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.87, f_measure: 0.7644, kappa: 0.5171, kb_relative_information_score: 10290.9543, mean_absolute_error: 0.3979, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7866, predictive_accuracy: 0.7738, prior_entropy: 0.9835, recall: 0.7738, relative_absolute_error: 0.8143, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4185, root_relative_squared_error: 0.8467, scimark_benchmark: 1265.1733, usercpu_time_millis: 913.297, usercpu_time_millis_testing: 74.352, usercpu_time_millis_training: 838.945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9, f_measure: 0.8182, kappa: 0.6267, kb_relative_information_score: 21138.2093, mean_absolute_error: 0.2758, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8184, predictive_accuracy: 0.819, prior_entropy: 0.9835, recall: 0.819, relative_absolute_error: 0.5644, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3576, root_relative_squared_error: 0.7234, scimark_benchmark: 1287.3434, usercpu_time_millis: 389.264, usercpu_time_millis_testing: 19.27, usercpu_time_millis_training: 369.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9553, f_measure: 0.8863, kappa: 0.7671, kb_relative_information_score: 28669.9162, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8863, predictive_accuracy: 0.8864, prior_entropy: 0.9835, recall: 0.8864, relative_absolute_error: 0.3942, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2911, root_relative_squared_error: 0.589, scimark_benchmark: 1302.9308, usercpu_time_millis: 71.698, usercpu_time_millis_testing: 2.113, usercpu_time_millis_training: 69.585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8702, f_measure: 0.7648, kappa: 0.5178, kb_relative_information_score: 10325.8827, mean_absolute_error: 0.3976, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7868, predictive_accuracy: 0.7741, prior_entropy: 0.9835, recall: 0.7741, relative_absolute_error: 0.8136, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4182, root_relative_squared_error: 0.8461, scimark_benchmark: 1292.9135, usercpu_time_millis: 779.163, usercpu_time_millis_testing: 58.897, usercpu_time_millis_training: 720.266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9103, f_measure: 0.8264, kappa: 0.6435, kb_relative_information_score: 22195.2473, mean_absolute_error: 0.2642, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8266, predictive_accuracy: 0.8271, prior_entropy: 0.9835, recall: 0.8271, relative_absolute_error: 0.5407, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3483, root_relative_squared_error: 0.7046, scimark_benchmark: 1309.7947, usercpu_time_millis: 1378.58, usercpu_time_millis_testing: 80.76, usercpu_time_millis_training: 1297.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.904, f_measure: 0.8207, kappa: 0.6316, kb_relative_information_score: 21245.3069, mean_absolute_error: 0.275, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8212, predictive_accuracy: 0.8217, prior_entropy: 0.9835, recall: 0.8217, relative_absolute_error: 0.5629, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3549, root_relative_squared_error: 0.7179, scimark_benchmark: 1303.9353, usercpu_time_millis: 681.1, usercpu_time_millis_testing: 24.519, usercpu_time_millis_training: 656.581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9282, f_measure: 0.8451, kappa: 0.6818, kb_relative_information_score: 23356.8944, mean_absolute_error: 0.253, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8456, predictive_accuracy: 0.8458, prior_entropy: 0.9835, recall: 0.8458, relative_absolute_error: 0.5179, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3326, root_relative_squared_error: 0.6729, scimark_benchmark: 1286.3771, usercpu_time_millis: 2121.037, usercpu_time_millis_testing: 75.835, usercpu_time_millis_training: 2045.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9703, f_measure: 0.9092, kappa: 0.814, kb_relative_information_score: 30619.5478, mean_absolute_error: 0.1727, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9092, predictive_accuracy: 0.9093, prior_entropy: 0.9835, recall: 0.9093, relative_absolute_error: 0.3534, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2655, root_relative_squared_error: 0.5371, scimark_benchmark: 1291.4869, usercpu_time_millis: 1146.867, usercpu_time_millis_testing: 31.744, usercpu_time_millis_training: 1115.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8761, f_measure: 0.7891, kappa: 0.566, kb_relative_information_score: 18147.2378, mean_absolute_error: 0.3092, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7966, predictive_accuracy: 0.7933, prior_entropy: 0.9835, recall: 0.7933, relative_absolute_error: 0.6328, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.7671, scimark_benchmark: 1286.155, usercpu_time_millis: 54.256, usercpu_time_millis_testing: 4.37, usercpu_time_millis_training: 49.886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9266, f_measure: 0.8445, kappa: 0.6802, kb_relative_information_score: 20605.0898, mean_absolute_error: 0.2881, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8463, predictive_accuracy: 0.8458, prior_entropy: 0.9835, recall: 0.8458, relative_absolute_error: 0.5897, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3442, root_relative_squared_error: 0.6963, scimark_benchmark: 1304.7624, usercpu_time_millis: 93.752, usercpu_time_millis_testing: 5.814, usercpu_time_millis_training: 87.938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.7644, kappa: 0.5172, kb_relative_information_score: 10249.5688, mean_absolute_error: 0.3983, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7869, predictive_accuracy: 0.7739, prior_entropy: 0.9835, recall: 0.7739, relative_absolute_error: 0.8151, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4188, root_relative_squared_error: 0.8474, scimark_benchmark: 1297.6113, usercpu_time_millis: 421.345, usercpu_time_millis_testing: 32.878, usercpu_time_millis_training: 388.467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9015, f_measure: 0.8185, kappa: 0.6267, kb_relative_information_score: 20396.9398, mean_absolute_error: 0.2854, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8202, predictive_accuracy: 0.8201, prior_entropy: 0.9835, recall: 0.8201, relative_absolute_error: 0.584, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3586, root_relative_squared_error: 0.7256, scimark_benchmark: 1306.7985, usercpu_time_millis: 392.067, usercpu_time_millis_testing: 22.102, usercpu_time_millis_training: 369.965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9292, f_measure: 0.8466, kappa: 0.6852, kb_relative_information_score: 24256.745, mean_absolute_error: 0.2416, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8467, predictive_accuracy: 0.8471, prior_entropy: 0.9835, recall: 0.8471, relative_absolute_error: 0.4945, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3292, root_relative_squared_error: 0.666, scimark_benchmark: 1307.9813, usercpu_time_millis: 1284.31, usercpu_time_millis_testing: 45.921, usercpu_time_millis_training: 1238.389,

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