OpenML
Supervised Classification on electricity

Supervised Classification on electricity

Task 219 Supervised Classification electricity 77718 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: 0.9356, f_measure: 0.8544, kappa: 0.7013, kb_relative_information_score: 25294.4413, mean_absolute_error: 0.2299, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8544, predictive_accuracy: 0.8548, prior_entropy: 0.9835, recall: 0.8548, relative_absolute_error: 0.4705, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.321, root_relative_squared_error: 0.6495, scimark_benchmark: 1237.5562, usercpu_time_millis: 4732.78, usercpu_time_millis_testing: 141.428, usercpu_time_millis_training: 4591.352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8872, f_measure: 0.8114, kappa: 0.6122, kb_relative_information_score: 19640.9219, mean_absolute_error: 0.2925, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8125, predictive_accuracy: 0.8128, prior_entropy: 0.9835, recall: 0.8128, relative_absolute_error: 0.5985, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3687, root_relative_squared_error: 0.746, scimark_benchmark: 1242.112, usercpu_time_millis: 261.82, usercpu_time_millis_testing: 15.362, usercpu_time_millis_training: 246.458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9156, f_measure: 0.8328, kappa: 0.6563, kb_relative_information_score: 19960.6979, mean_absolute_error: 0.2939, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8343, predictive_accuracy: 0.8342, prior_entropy: 0.9835, recall: 0.8342, relative_absolute_error: 0.6015, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3525, root_relative_squared_error: 0.7132, scimark_benchmark: 1255.8397, usercpu_time_millis: 391.02, usercpu_time_millis_testing: 27.584, usercpu_time_millis_training: 363.436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9362, f_measure: 0.8567, kappa: 0.7063, kb_relative_information_score: 25589.6822, mean_absolute_error: 0.2264, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8567, predictive_accuracy: 0.857, prior_entropy: 0.9835, recall: 0.857, relative_absolute_error: 0.4633, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3196, root_relative_squared_error: 0.6466, scimark_benchmark: 1232.944, usercpu_time_millis: 3282.402, usercpu_time_millis_testing: 116.189, usercpu_time_millis_training: 3166.213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9181, f_measure: 0.8339, kappa: 0.6587, kb_relative_information_score: 22108.3393, mean_absolute_error: 0.2671, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8346, predictive_accuracy: 0.8348, prior_entropy: 0.9835, recall: 0.8348, relative_absolute_error: 0.5466, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3432, root_relative_squared_error: 0.6943, scimark_benchmark: 1242.9157, usercpu_time_millis: 1065.64, usercpu_time_millis_testing: 61.066, usercpu_time_millis_training: 1004.574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9195, f_measure: 0.8365, kappa: 0.6645, kb_relative_information_score: 23273.84, mean_absolute_error: 0.2521, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8366, predictive_accuracy: 0.8371, prior_entropy: 0.9835, recall: 0.8371, relative_absolute_error: 0.5159, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3393, root_relative_squared_error: 0.6865, scimark_benchmark: 1239.3978, usercpu_time_millis: 2942.94, usercpu_time_millis_testing: 122.359, usercpu_time_millis_training: 2820.581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9222, f_measure: 0.8399, kappa: 0.6715, kb_relative_information_score: 23556.5547, mean_absolute_error: 0.2494, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.84, predictive_accuracy: 0.8405, prior_entropy: 0.9835, recall: 0.8405, relative_absolute_error: 0.5105, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3362, root_relative_squared_error: 0.6802, scimark_benchmark: 1258.7739, usercpu_time_millis: 1388.195, usercpu_time_millis_testing: 90.94, usercpu_time_millis_training: 1297.255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9252, kappa: 0.8468, kb_relative_information_score: 33443.7913, mean_absolute_error: 0.1396, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9252, predictive_accuracy: 0.9252, prior_entropy: 0.9835, recall: 0.9252, relative_absolute_error: 0.2856, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2405, root_relative_squared_error: 0.4866, scimark_benchmark: 1250.5506, usercpu_time_millis: 1548.893, usercpu_time_millis_testing: 30.389, usercpu_time_millis_training: 1518.504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9415, f_measure: 0.8645, kappa: 0.7222, kb_relative_information_score: 26380.2595, mean_absolute_error: 0.2176, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8644, predictive_accuracy: 0.8647, prior_entropy: 0.9835, recall: 0.8647, relative_absolute_error: 0.4453, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3127, root_relative_squared_error: 0.6326, scimark_benchmark: 1248.4018, usercpu_time_millis: 1254.323, usercpu_time_millis_testing: 36.105, usercpu_time_millis_training: 1218.218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8898, f_measure: 0.8122, kappa: 0.6147, kb_relative_information_score: 20458.7382, mean_absolute_error: 0.2829, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8121, predictive_accuracy: 0.8128, prior_entropy: 0.9835, recall: 0.8128, relative_absolute_error: 0.5789, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3652, root_relative_squared_error: 0.7389, scimark_benchmark: 1249.2304, usercpu_time_millis: 1311.59, usercpu_time_millis_testing: 74.124, usercpu_time_millis_training: 1237.466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9422, f_measure: 0.8606, kappa: 0.7139, kb_relative_information_score: 25516.8098, mean_absolute_error: 0.2289, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8607, predictive_accuracy: 0.861, prior_entropy: 0.9835, recall: 0.861, relative_absolute_error: 0.4684, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3146, root_relative_squared_error: 0.6365, scimark_benchmark: 1252.6771, usercpu_time_millis: 1461.708, usercpu_time_millis_testing: 55.173, usercpu_time_millis_training: 1406.535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9303, f_measure: 0.8478, kappa: 0.6878, kb_relative_information_score: 24462.915, mean_absolute_error: 0.2394, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8479, predictive_accuracy: 0.8483, prior_entropy: 0.9835, recall: 0.8483, relative_absolute_error: 0.4899, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3277, root_relative_squared_error: 0.6629, scimark_benchmark: 1255.3807, usercpu_time_millis: 1989.567, usercpu_time_millis_testing: 95.2, usercpu_time_millis_training: 1894.367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, f_measure: 0.8835, kappa: 0.7612, kb_relative_information_score: 27484.1753, mean_absolute_error: 0.2075, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8835, predictive_accuracy: 0.8837, prior_entropy: 0.9835, recall: 0.8837, relative_absolute_error: 0.4247, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2962, root_relative_squared_error: 0.5993, scimark_benchmark: 1246.7664, usercpu_time_millis: 460.475, usercpu_time_millis_testing: 26.811, usercpu_time_millis_training: 433.664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8008, f_measure: 0.7204, kappa: 0.4259, kb_relative_information_score: 10915.3454, mean_absolute_error: 0.3823, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7342, predictive_accuracy: 0.73, prior_entropy: 0.9835, recall: 0.73, relative_absolute_error: 0.7824, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4327, root_relative_squared_error: 0.8755, scimark_benchmark: 1317.8444, usercpu_time_millis: 7046.07, usercpu_time_millis_testing: 42.65, usercpu_time_millis_training: 7003.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9037, f_measure: 0.8221, kappa: 0.634, kb_relative_information_score: 18713.0823, mean_absolute_error: 0.3071, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8248, predictive_accuracy: 0.824, prior_entropy: 0.9835, recall: 0.824, relative_absolute_error: 0.6284, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3634, root_relative_squared_error: 0.7352, scimark_benchmark: 1251.7158, usercpu_time_millis: 437.756, usercpu_time_millis_testing: 32.816, usercpu_time_millis_training: 404.94,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9617, f_measure: 0.8941, kappa: 0.7832, kb_relative_information_score: 29600.1406, mean_absolute_error: 0.1824, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8941, predictive_accuracy: 0.8942, prior_entropy: 0.9835, recall: 0.8942, relative_absolute_error: 0.3733, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2808, root_relative_squared_error: 0.5682, scimark_benchmark: 1252.4419, usercpu_time_millis: 2097.19, usercpu_time_millis_testing: 38.748, usercpu_time_millis_training: 2058.442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9421, f_measure: 0.8665, kappa: 0.7264, kb_relative_information_score: 27076.064, mean_absolute_error: 0.2089, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8664, predictive_accuracy: 0.8666, prior_entropy: 0.9835, recall: 0.8666, relative_absolute_error: 0.4275, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3103, root_relative_squared_error: 0.6278, scimark_benchmark: 1238.9436, usercpu_time_millis: 2618.937, usercpu_time_millis_testing: 58.719, usercpu_time_millis_training: 2560.218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.944, f_measure: 0.8668, kappa: 0.7269, kb_relative_information_score: 26293.1792, mean_absolute_error: 0.2195, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8668, predictive_accuracy: 0.8671, prior_entropy: 0.9835, recall: 0.8671, relative_absolute_error: 0.4492, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3104, root_relative_squared_error: 0.6281, scimark_benchmark: 1250.2015, usercpu_time_millis: 594.876, usercpu_time_millis_testing: 22.357, usercpu_time_millis_training: 572.519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9164, f_measure: 0.8336, kappa: 0.6584, kb_relative_information_score: 22446.4785, mean_absolute_error: 0.2622, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.834, predictive_accuracy: 0.8344, prior_entropy: 0.9835, recall: 0.8344, relative_absolute_error: 0.5367, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3435, root_relative_squared_error: 0.6949, scimark_benchmark: 1242.8363, usercpu_time_millis: 2217.865, usercpu_time_millis_testing: 101.192, usercpu_time_millis_training: 2116.673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9489, f_measure: 0.8746, kappa: 0.743, kb_relative_information_score: 27035.9143, mean_absolute_error: 0.2113, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8746, predictive_accuracy: 0.8748, prior_entropy: 0.9835, recall: 0.8748, relative_absolute_error: 0.4323, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3036, root_relative_squared_error: 0.6143, scimark_benchmark: 1250.8468, usercpu_time_millis: 2867.749, usercpu_time_millis_testing: 89.976, usercpu_time_millis_training: 2777.773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9065, f_measure: 0.8237, kappa: 0.6374, kb_relative_information_score: 18925.0287, mean_absolute_error: 0.3049, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.826, predictive_accuracy: 0.8255, prior_entropy: 0.9835, recall: 0.8255, relative_absolute_error: 0.624, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.7309, scimark_benchmark: 1249.0239, usercpu_time_millis: 387.808, usercpu_time_millis_testing: 26.492, usercpu_time_millis_training: 361.316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9308, f_measure: 0.8502, kappa: 0.6927, kb_relative_information_score: 24798.8867, mean_absolute_error: 0.2351, 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: 0.4812, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3264, root_relative_squared_error: 0.6604, scimark_benchmark: 1251.0534, usercpu_time_millis: 1775.476, usercpu_time_millis_testing: 72.921, usercpu_time_millis_training: 1702.555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8794, f_measure: 0.7886, kappa: 0.5649, kb_relative_information_score: 17579.4442, mean_absolute_error: 0.3166, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.797, predictive_accuracy: 0.7931, prior_entropy: 0.9835, recall: 0.7931, relative_absolute_error: 0.648, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3793, root_relative_squared_error: 0.7674, scimark_benchmark: 1253.3047, usercpu_time_millis: 955.213, usercpu_time_millis_testing: 74.958, usercpu_time_millis_training: 880.255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9393, f_measure: 0.8605, kappa: 0.7139, kb_relative_information_score: 25858.8419, mean_absolute_error: 0.2237, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8605, predictive_accuracy: 0.8608, prior_entropy: 0.9835, recall: 0.8608, relative_absolute_error: 0.4578, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3161, root_relative_squared_error: 0.6395, scimark_benchmark: 1242.3933, usercpu_time_millis: 791.291, usercpu_time_millis_testing: 25.636, usercpu_time_millis_training: 765.655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9245, f_measure: 0.8414, kappa: 0.6744, kb_relative_information_score: 23354.301, mean_absolute_error: 0.2523, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8416, predictive_accuracy: 0.842, prior_entropy: 0.9835, recall: 0.842, relative_absolute_error: 0.5164, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3352, root_relative_squared_error: 0.6782, scimark_benchmark: 1246.1659, usercpu_time_millis: 1638.491, usercpu_time_millis_testing: 67.93, usercpu_time_millis_training: 1570.561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9337, f_measure: 0.8533, kappa: 0.6991, kb_relative_information_score: 25261.8177, mean_absolute_error: 0.2298, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8533, predictive_accuracy: 0.8537, prior_entropy: 0.9835, recall: 0.8537, relative_absolute_error: 0.4704, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3228, root_relative_squared_error: 0.6532, scimark_benchmark: 1242.6349, usercpu_time_millis: 791.881, usercpu_time_millis_testing: 18.478, usercpu_time_millis_training: 773.403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9146, f_measure: 0.8309, kappa: 0.6524, kb_relative_information_score: 19808.2757, mean_absolute_error: 0.2955, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8325, predictive_accuracy: 0.8323, prior_entropy: 0.9835, recall: 0.8323, relative_absolute_error: 0.6049, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3538, root_relative_squared_error: 0.7157, scimark_benchmark: 1242.5247, usercpu_time_millis: 559.328, usercpu_time_millis_testing: 37.35, usercpu_time_millis_training: 521.978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9511, f_measure: 0.8786, kappa: 0.7512, kb_relative_information_score: 27294.5563, mean_absolute_error: 0.2089, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8786, predictive_accuracy: 0.8788, prior_entropy: 0.9835, recall: 0.8788, relative_absolute_error: 0.4276, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3002, root_relative_squared_error: 0.6074, scimark_benchmark: 1248.3548, usercpu_time_millis: 1745.466, usercpu_time_millis_testing: 73.521, usercpu_time_millis_training: 1671.945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9374, f_measure: 0.8567, kappa: 0.7062, kb_relative_information_score: 25630.9465, mean_absolute_error: 0.2261, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8567, predictive_accuracy: 0.857, prior_entropy: 0.9835, recall: 0.857, relative_absolute_error: 0.4628, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3185, root_relative_squared_error: 0.6443, scimark_benchmark: 1248.6414, usercpu_time_millis: 2074.262, usercpu_time_millis_testing: 77.412, usercpu_time_millis_training: 1996.85,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9056, f_measure: 0.8226, kappa: 0.6353, kb_relative_information_score: 20713.8335, mean_absolute_error: 0.2823, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8241, predictive_accuracy: 0.8241, prior_entropy: 0.9835, recall: 0.8241, relative_absolute_error: 0.5777, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3553, root_relative_squared_error: 0.7188, scimark_benchmark: 1245.8406, usercpu_time_millis: 560.641, usercpu_time_millis_testing: 35.94, usercpu_time_millis_training: 524.701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9504, f_measure: 0.8783, kappa: 0.7506, kb_relative_information_score: 27607.2496, mean_absolute_error: 0.2044, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8782, predictive_accuracy: 0.8784, prior_entropy: 0.9835, recall: 0.8784, relative_absolute_error: 0.4184, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3002, root_relative_squared_error: 0.6073, scimark_benchmark: 1251.2809, usercpu_time_millis: 4297.997, usercpu_time_millis_testing: 97.719, usercpu_time_millis_training: 4200.278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9225, f_measure: 0.8394, kappa: 0.6702, kb_relative_information_score: 23129.3259, mean_absolute_error: 0.2547, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8396, predictive_accuracy: 0.84, prior_entropy: 0.9835, recall: 0.84, relative_absolute_error: 0.5214, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3373, root_relative_squared_error: 0.6824, scimark_benchmark: 1255.6391, usercpu_time_millis: 2516.112, usercpu_time_millis_testing: 130.87, usercpu_time_millis_training: 2385.242,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9037, f_measure: 0.8212, kappa: 0.6323, kb_relative_information_score: 20563.1035, mean_absolute_error: 0.2838, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8227, predictive_accuracy: 0.8227, prior_entropy: 0.9835, recall: 0.8227, relative_absolute_error: 0.5809, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3568, root_relative_squared_error: 0.7218, scimark_benchmark: 1253.2555, usercpu_time_millis: 386.572, usercpu_time_millis_testing: 25.228, usercpu_time_millis_training: 361.344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9513, f_measure: 0.8803, kappa: 0.7548, kb_relative_information_score: 27552.7064, mean_absolute_error: 0.2057, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8803, predictive_accuracy: 0.8805, prior_entropy: 0.9835, recall: 0.8805, relative_absolute_error: 0.4209, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2992, root_relative_squared_error: 0.6054, scimark_benchmark: 1254.2366, usercpu_time_millis: 427.861, usercpu_time_millis_testing: 15.526, usercpu_time_millis_training: 412.335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9089, f_measure: 0.8253, kappa: 0.641, kb_relative_information_score: 21611.5495, mean_absolute_error: 0.2714, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.826, predictive_accuracy: 0.8263, prior_entropy: 0.9835, recall: 0.8263, relative_absolute_error: 0.5554, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3507, root_relative_squared_error: 0.7095, scimark_benchmark: 1247.7709, usercpu_time_millis: 2200.56, usercpu_time_millis_testing: 111.263, usercpu_time_millis_training: 2089.297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8814, f_measure: 0.8038, kappa: 0.5963, kb_relative_information_score: 18930.5594, mean_absolute_error: 0.3003, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8069, predictive_accuracy: 0.8062, prior_entropy: 0.9835, recall: 0.8062, relative_absolute_error: 0.6145, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3741, root_relative_squared_error: 0.7568, scimark_benchmark: 1251.5654, usercpu_time_millis: 471.175, usercpu_time_millis_testing: 32.292, usercpu_time_millis_training: 438.883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9263, f_measure: 0.8428, kappa: 0.6772, kb_relative_information_score: 23085.105, mean_absolute_error: 0.2564, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8433, predictive_accuracy: 0.8436, prior_entropy: 0.9835, recall: 0.8436, relative_absolute_error: 0.5247, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3346, root_relative_squared_error: 0.6769, scimark_benchmark: 1242.4864, usercpu_time_millis: 309.286, usercpu_time_millis_testing: 14.448, usercpu_time_millis_training: 294.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8895, f_measure: 0.8055, kappa: 0.5997, kb_relative_information_score: 17182.2867, mean_absolute_error: 0.3234, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8109, predictive_accuracy: 0.8087, prior_entropy: 0.9835, recall: 0.8087, relative_absolute_error: 0.6618, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3757, root_relative_squared_error: 0.7602, scimark_benchmark: 1223.8205, usercpu_time_millis: 440.587, usercpu_time_millis_testing: 31.132, usercpu_time_millis_training: 409.455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9218, f_measure: 0.8387, kappa: 0.669, kb_relative_information_score: 23056.1874, mean_absolute_error: 0.2555, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.839, predictive_accuracy: 0.8394, prior_entropy: 0.9835, recall: 0.8394, relative_absolute_error: 0.523, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.338, root_relative_squared_error: 0.6839, scimark_benchmark: 1250.36, usercpu_time_millis: 2092.065, usercpu_time_millis_testing: 110.073, usercpu_time_millis_training: 1981.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8729, f_measure: 0.7947, kappa: 0.5778, kb_relative_information_score: 18653.94, mean_absolute_error: 0.303, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7959, predictive_accuracy: 0.7964, prior_entropy: 0.9835, recall: 0.7964, relative_absolute_error: 0.6201, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3785, root_relative_squared_error: 0.7659, scimark_benchmark: 1258.78, usercpu_time_millis: 430.453, usercpu_time_millis_testing: 34.153, usercpu_time_millis_training: 396.3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9068, f_measure: 0.8245, kappa: 0.6392, kb_relative_information_score: 20861.8115, mean_absolute_error: 0.2807, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8258, predictive_accuracy: 0.8259, prior_entropy: 0.9835, recall: 0.8259, relative_absolute_error: 0.5744, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.354, root_relative_squared_error: 0.7163, scimark_benchmark: 1240.3138, usercpu_time_millis: 2028.952, usercpu_time_millis_testing: 118.382, usercpu_time_millis_training: 1910.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8113, f_measure: 0.7513, kappa: 0.4883, kb_relative_information_score: 15135.1151, mean_absolute_error: 0.338, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.753, predictive_accuracy: 0.7541, prior_entropy: 0.9835, recall: 0.7541, relative_absolute_error: 0.6918, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4135, root_relative_squared_error: 0.8366, scimark_benchmark: 1290.7939, usercpu_time_millis: 12291.598, usercpu_time_millis_testing: 76.415, usercpu_time_millis_training: 12215.183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9407, f_measure: 0.8664, kappa: 0.7264, kb_relative_information_score: 27707.56, mean_absolute_error: 0.2006, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8664, predictive_accuracy: 0.8665, prior_entropy: 0.9835, recall: 0.8665, relative_absolute_error: 0.4105, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3105, root_relative_squared_error: 0.6282, scimark_benchmark: 1248.3433, usercpu_time_millis: 600.71, usercpu_time_millis_testing: 11.921, usercpu_time_millis_training: 588.789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9215, f_measure: 0.8392, kappa: 0.6702, kb_relative_information_score: 23767.5783, mean_absolute_error: 0.2462, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8392, predictive_accuracy: 0.8397, prior_entropy: 0.9835, recall: 0.8397, relative_absolute_error: 0.5038, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3366, root_relative_squared_error: 0.681, scimark_benchmark: 1245.0789, usercpu_time_millis: 598.695, usercpu_time_millis_testing: 29.874, usercpu_time_millis_training: 568.821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9366, f_measure: 0.8574, kappa: 0.7076, kb_relative_information_score: 25538.6342, mean_absolute_error: 0.2271, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8574, predictive_accuracy: 0.8578, prior_entropy: 0.9835, recall: 0.8578, relative_absolute_error: 0.4647, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3195, root_relative_squared_error: 0.6463, scimark_benchmark: 1245.8038, usercpu_time_millis: 1187.685, usercpu_time_millis_testing: 42.867, usercpu_time_millis_training: 1144.818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.9291, kappa: 0.8547, kb_relative_information_score: 33913.3174, mean_absolute_error: 0.1342, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.929, predictive_accuracy: 0.9291, prior_entropy: 0.9835, recall: 0.9291, relative_absolute_error: 0.2746, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2354, root_relative_squared_error: 0.4763, scimark_benchmark: 1251.3445, usercpu_time_millis: 753.645, usercpu_time_millis_testing: 20.743, usercpu_time_millis_training: 732.902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9404, f_measure: 0.8592, kappa: 0.7111, kb_relative_information_score: 24827.7329, mean_absolute_error: 0.2376, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8594, predictive_accuracy: 0.8597, prior_entropy: 0.9835, recall: 0.8597, relative_absolute_error: 0.4863, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3181, root_relative_squared_error: 0.6436, scimark_benchmark: 1249.3398, usercpu_time_millis: 778.109, usercpu_time_millis_testing: 32.237, usercpu_time_millis_training: 745.872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.9293, kappa: 0.8553, kb_relative_information_score: 34030.6447, mean_absolute_error: 0.1328, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9293, predictive_accuracy: 0.9294, prior_entropy: 0.9835, recall: 0.9294, relative_absolute_error: 0.2718, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.234, root_relative_squared_error: 0.4735, scimark_benchmark: 1254.3542, usercpu_time_millis: 757.892, usercpu_time_millis_testing: 22.087, usercpu_time_millis_training: 735.805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.903, f_measure: 0.8211, kappa: 0.6329, kb_relative_information_score: 21716.567, mean_absolute_error: 0.269, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8212, predictive_accuracy: 0.8218, prior_entropy: 0.9835, recall: 0.8218, relative_absolute_error: 0.5506, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3542, root_relative_squared_error: 0.7167, scimark_benchmark: 1250.8097, usercpu_time_millis: 1121.019, usercpu_time_millis_testing: 66.416, usercpu_time_millis_training: 1054.603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.922, f_measure: 0.8392, kappa: 0.6705, kb_relative_information_score: 24420.8665, mean_absolute_error: 0.2377, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8391, predictive_accuracy: 0.8394, prior_entropy: 0.9835, recall: 0.8394, relative_absolute_error: 0.4866, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3349, root_relative_squared_error: 0.6776, scimark_benchmark: 1266.5744, usercpu_time_millis: 1954.828, usercpu_time_millis_testing: 52.684, usercpu_time_millis_training: 1902.144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.8521, kappa: 0.6966, kb_relative_information_score: 24917.3572, mean_absolute_error: 0.2343, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8522, predictive_accuracy: 0.8526, prior_entropy: 0.9835, recall: 0.8526, relative_absolute_error: 0.4796, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3235, root_relative_squared_error: 0.6545, scimark_benchmark: 1247.4809, usercpu_time_millis: 2536.426, usercpu_time_millis_testing: 76.645, usercpu_time_millis_training: 2459.781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9154, f_measure: 0.8325, kappa: 0.6563, kb_relative_information_score: 23152.747, mean_absolute_error: 0.2526, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8325, predictive_accuracy: 0.833, prior_entropy: 0.9835, recall: 0.833, relative_absolute_error: 0.517, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3427, root_relative_squared_error: 0.6933, scimark_benchmark: 1244.8375, usercpu_time_millis: 629.398, usercpu_time_millis_testing: 24.966, usercpu_time_millis_training: 604.432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9451, f_measure: 0.8681, kappa: 0.7297, kb_relative_information_score: 26627.8074, mean_absolute_error: 0.2154, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8681, predictive_accuracy: 0.8683, prior_entropy: 0.9835, recall: 0.8683, relative_absolute_error: 0.4408, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3085, root_relative_squared_error: 0.6242, scimark_benchmark: 1250.8992, usercpu_time_millis: 4160.248, usercpu_time_millis_testing: 123.585, usercpu_time_millis_training: 4036.663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9171, f_measure: 0.8351, kappa: 0.6617, kb_relative_information_score: 23335.2011, mean_absolute_error: 0.251, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8351, predictive_accuracy: 0.8356, prior_entropy: 0.9835, recall: 0.8356, relative_absolute_error: 0.5137, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3407, root_relative_squared_error: 0.6893, scimark_benchmark: 1245.9824, usercpu_time_millis: 613.663, usercpu_time_millis_testing: 34.48, usercpu_time_millis_training: 579.183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.8293, kappa: 0.649, kb_relative_information_score: 19608.4191, mean_absolute_error: 0.2976, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8312, predictive_accuracy: 0.8308, prior_entropy: 0.9835, recall: 0.8308, relative_absolute_error: 0.609, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3558, root_relative_squared_error: 0.7199, scimark_benchmark: 1246.4572, usercpu_time_millis: 498.32, usercpu_time_millis_testing: 39.764, usercpu_time_millis_training: 458.556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9425, f_measure: 0.863, kappa: 0.7191, kb_relative_information_score: 25999.0575, mean_absolute_error: 0.2227, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.863, predictive_accuracy: 0.8633, prior_entropy: 0.9835, recall: 0.8633, relative_absolute_error: 0.4557, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3128, root_relative_squared_error: 0.6329, scimark_benchmark: 1255.6452, usercpu_time_millis: 2500.783, usercpu_time_millis_testing: 74.218, usercpu_time_millis_training: 2426.565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9051, f_measure: 0.8229, kappa: 0.6357, kb_relative_information_score: 18816.2855, mean_absolute_error: 0.306, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8253, predictive_accuracy: 0.8247, prior_entropy: 0.9835, recall: 0.8247, relative_absolute_error: 0.6263, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3623, root_relative_squared_error: 0.733, scimark_benchmark: 1247.2758, usercpu_time_millis: 1805.603, usercpu_time_millis_testing: 137.801, usercpu_time_millis_training: 1667.802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9263, f_measure: 0.8428, kappa: 0.6773, kb_relative_information_score: 23555.6119, mean_absolute_error: 0.2501, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8432, predictive_accuracy: 0.8435, prior_entropy: 0.9835, recall: 0.8435, relative_absolute_error: 0.5119, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3333, root_relative_squared_error: 0.6743, scimark_benchmark: 1241.7554, usercpu_time_millis: 848.723, usercpu_time_millis_testing: 41.077, usercpu_time_millis_training: 807.646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8951, f_measure: 0.8161, kappa: 0.6227, kb_relative_information_score: 20965.018, mean_absolute_error: 0.2772, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8161, predictive_accuracy: 0.8167, prior_entropy: 0.9835, recall: 0.8167, relative_absolute_error: 0.5674, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.361, root_relative_squared_error: 0.7304, scimark_benchmark: 1251.59, usercpu_time_millis: 282.241, usercpu_time_millis_testing: 13.162, usercpu_time_millis_training: 269.079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9603, f_measure: 0.8919, kappa: 0.7785, kb_relative_information_score: 29555.5532, mean_absolute_error: 0.1826, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8918, predictive_accuracy: 0.8919, prior_entropy: 0.9835, recall: 0.8919, relative_absolute_error: 0.3736, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2827, root_relative_squared_error: 0.5719, scimark_benchmark: 1237.3205, usercpu_time_millis: 1069.211, usercpu_time_millis_testing: 23.139, usercpu_time_millis_training: 1046.072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.935, f_measure: 0.8547, kappa: 0.702, kb_relative_information_score: 25303.9751, mean_absolute_error: 0.2298, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8546, predictive_accuracy: 0.855, prior_entropy: 0.9835, recall: 0.855, relative_absolute_error: 0.4703, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3214, root_relative_squared_error: 0.6502, scimark_benchmark: 1246.5488, usercpu_time_millis: 2456.082, usercpu_time_millis_testing: 101.738, usercpu_time_millis_training: 2354.344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8889, f_measure: 0.8105, kappa: 0.6111, kb_relative_information_score: 20261.312, mean_absolute_error: 0.2852, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8107, predictive_accuracy: 0.8113, prior_entropy: 0.9835, recall: 0.8113, relative_absolute_error: 0.5836, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3662, root_relative_squared_error: 0.7408, scimark_benchmark: 1247.7428, usercpu_time_millis: 1190.476, usercpu_time_millis_testing: 89.867, usercpu_time_millis_training: 1100.609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9012, f_measure: 0.8193, kappa: 0.6284, kb_relative_information_score: 20240.413, mean_absolute_error: 0.2874, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8213, predictive_accuracy: 0.821, prior_entropy: 0.9835, recall: 0.821, relative_absolute_error: 0.5882, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3592, root_relative_squared_error: 0.7267, scimark_benchmark: 1246.739, usercpu_time_millis: 504.697, usercpu_time_millis_testing: 38.046, usercpu_time_millis_training: 466.651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.933, f_measure: 0.8512, kappa: 0.6946, kb_relative_information_score: 23875.3873, mean_absolute_error: 0.248, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8515, predictive_accuracy: 0.8518, prior_entropy: 0.9835, recall: 0.8518, relative_absolute_error: 0.5076, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.327, root_relative_squared_error: 0.6617, scimark_benchmark: 1248.9018, usercpu_time_millis: 1766.144, usercpu_time_millis_testing: 99.611, usercpu_time_millis_training: 1666.533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9215, f_measure: 0.84, kappa: 0.6719, kb_relative_information_score: 23822.2783, mean_absolute_error: 0.2457, 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: 0.5029, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3362, root_relative_squared_error: 0.6803, scimark_benchmark: 1238.6065, usercpu_time_millis: 1287.586, usercpu_time_millis_testing: 71.277, usercpu_time_millis_training: 1216.309,

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