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: 0.9202, f_measure: 0.8381, kappa: 0.6679, kb_relative_information_score: 23635.6137, mean_absolute_error: 0.2475, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8381, predictive_accuracy: 0.8386, prior_entropy: 0.9835, recall: 0.8386, relative_absolute_error: 0.5065, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3379, root_relative_squared_error: 0.6837, scimark_benchmark: 1320.3496, usercpu_time_millis: 1056.012, usercpu_time_millis_testing: 40.664, usercpu_time_millis_training: 1015.348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8919, f_measure: 0.8132, kappa: 0.6157, kb_relative_information_score: 19776.2076, mean_absolute_error: 0.2915, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.815, predictive_accuracy: 0.8149, prior_entropy: 0.9835, recall: 0.8149, relative_absolute_error: 0.5966, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3658, root_relative_squared_error: 0.7401, scimark_benchmark: 1332.2693, usercpu_time_millis: 889.972, usercpu_time_millis_testing: 47.572, usercpu_time_millis_training: 842.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9196, f_measure: 0.8369, kappa: 0.6653, kb_relative_information_score: 23076.5439, mean_absolute_error: 0.2547, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8371, predictive_accuracy: 0.8375, prior_entropy: 0.9835, recall: 0.8375, relative_absolute_error: 0.5213, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3396, root_relative_squared_error: 0.6871, scimark_benchmark: 1309.1875, usercpu_time_millis: 877.21, usercpu_time_millis_testing: 46.054, usercpu_time_millis_training: 831.156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9173, f_measure: 0.8334, kappa: 0.6577, kb_relative_information_score: 22036.6657, mean_absolute_error: 0.2679, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8341, predictive_accuracy: 0.8344, prior_entropy: 0.9835, recall: 0.8344, relative_absolute_error: 0.5482, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3439, root_relative_squared_error: 0.6958, scimark_benchmark: 1333.9774, usercpu_time_millis: 1116.809, usercpu_time_millis_testing: 71.525, usercpu_time_millis_training: 1045.284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9058, f_measure: 0.8233, kappa: 0.6368, kb_relative_information_score: 20748.1107, mean_absolute_error: 0.2819, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8246, predictive_accuracy: 0.8247, prior_entropy: 0.9835, recall: 0.8247, relative_absolute_error: 0.577, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.355, root_relative_squared_error: 0.7182, scimark_benchmark: 1328.4071, usercpu_time_millis: 487.365, usercpu_time_millis_testing: 27.587, usercpu_time_millis_training: 459.778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9312, f_measure: 0.8485, kappa: 0.689, kb_relative_information_score: 23687.587, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8489, predictive_accuracy: 0.8492, prior_entropy: 0.9835, recall: 0.8492, relative_absolute_error: 0.5116, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.329, root_relative_squared_error: 0.6656, scimark_benchmark: 1316.3512, usercpu_time_millis: 881.881, usercpu_time_millis_testing: 49.17, usercpu_time_millis_training: 832.711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9491, f_measure: 0.8747, kappa: 0.7432, kb_relative_information_score: 27693.5, mean_absolute_error: 0.2029, 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: 0.4153, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3013, root_relative_squared_error: 0.6096, scimark_benchmark: 1263.7284, usercpu_time_millis: 2417.868, usercpu_time_millis_testing: 54.337, usercpu_time_millis_training: 2363.531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8228, f_measure: 0.7567, kappa: 0.4993, kb_relative_information_score: 16125.6651, mean_absolute_error: 0.3281, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7616, predictive_accuracy: 0.7611, prior_entropy: 0.9835, recall: 0.7611, relative_absolute_error: 0.6715, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4068, root_relative_squared_error: 0.823, scimark_benchmark: 1280.6612, usercpu_time_millis: 10833.44, usercpu_time_millis_testing: 66.289, usercpu_time_millis_training: 10767.151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.757, kappa: 0.4997, kb_relative_information_score: 15900.1703, mean_absolute_error: 0.3311, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7624, predictive_accuracy: 0.7615, prior_entropy: 0.9835, recall: 0.7615, relative_absolute_error: 0.6776, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8218, scimark_benchmark: 1287.7047, usercpu_time_millis: 11225.062, usercpu_time_millis_testing: 24.627, usercpu_time_millis_training: 11200.435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8449, f_measure: 0.7772, kappa: 0.5417, kb_relative_information_score: 17753.8442, mean_absolute_error: 0.3109, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7794, predictive_accuracy: 0.7798, prior_entropy: 0.9835, recall: 0.7798, relative_absolute_error: 0.6362, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3944, root_relative_squared_error: 0.7979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8767, f_measure: 0.788, kappa: 0.5638, kb_relative_information_score: 15639.2159, mean_absolute_error: 0.3399, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7979, predictive_accuracy: 0.793, prior_entropy: 0.9835, recall: 0.793, relative_absolute_error: 0.6957, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3871, root_relative_squared_error: 0.7832, scimark_benchmark: 1321.915, usercpu_time_millis: 92.451, usercpu_time_millis_testing: 5.786, usercpu_time_millis_training: 86.665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9162, f_measure: 0.8358, kappa: 0.6631, kb_relative_information_score: 23257.4523, mean_absolute_error: 0.2521, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.836, predictive_accuracy: 0.8365, prior_entropy: 0.9835, recall: 0.8365, relative_absolute_error: 0.5159, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3415, root_relative_squared_error: 0.6908, scimark_benchmark: 1332.0094, usercpu_time_millis: 19.86, usercpu_time_millis_testing: 1.187, usercpu_time_millis_training: 18.673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, f_measure: 0.8614, kappa: 0.7157, kb_relative_information_score: 25767.3724, mean_absolute_error: 0.2256, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8615, predictive_accuracy: 0.8618, prior_entropy: 0.9835, recall: 0.8618, relative_absolute_error: 0.4617, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3138, root_relative_squared_error: 0.6349, scimark_benchmark: 1323.4421, usercpu_time_millis: 995.856, usercpu_time_millis_testing: 36.05, usercpu_time_millis_training: 959.806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9366, f_measure: 0.8566, kappa: 0.7059, kb_relative_information_score: 25576.4146, mean_absolute_error: 0.2266, 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: 0.4637, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3194, root_relative_squared_error: 0.6462, scimark_benchmark: 1327.9771, usercpu_time_millis: 2775.367, usercpu_time_millis_testing: 96.747, usercpu_time_millis_training: 2678.62,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8973, f_measure: 0.8147, kappa: 0.6189, kb_relative_information_score: 19820.1865, mean_absolute_error: 0.292, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8169, predictive_accuracy: 0.8166, prior_entropy: 0.9835, recall: 0.8166, relative_absolute_error: 0.5976, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3626, root_relative_squared_error: 0.7337, scimark_benchmark: 1331.0113, usercpu_time_millis: 210.137, usercpu_time_millis_testing: 9.774, usercpu_time_millis_training: 200.363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8909, f_measure: 0.8133, kappa: 0.6172, kb_relative_information_score: 20993.6468, mean_absolute_error: 0.2763, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8132, predictive_accuracy: 0.8137, prior_entropy: 0.9835, recall: 0.8137, relative_absolute_error: 0.5656, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3637, root_relative_squared_error: 0.7358, scimark_benchmark: 1322.3197, usercpu_time_millis: 2233.124, usercpu_time_millis_testing: 83.34, usercpu_time_millis_training: 2149.784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9036, f_measure: 0.8214, kappa: 0.6333, kb_relative_information_score: 21447.4324, mean_absolute_error: 0.2725, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8217, predictive_accuracy: 0.8222, prior_entropy: 0.9835, recall: 0.8222, relative_absolute_error: 0.5577, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3545, root_relative_squared_error: 0.7172, scimark_benchmark: 1307.1352, usercpu_time_millis: 419.245, usercpu_time_millis_testing: 18.379, usercpu_time_millis_training: 400.866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9294, f_measure: 0.846, kappa: 0.6839, kb_relative_information_score: 23438.9806, mean_absolute_error: 0.2526, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8463, predictive_accuracy: 0.8467, prior_entropy: 0.9835, recall: 0.8467, relative_absolute_error: 0.517, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3312, root_relative_squared_error: 0.6701, scimark_benchmark: 1304.3297, usercpu_time_millis: 1293.197, usercpu_time_millis_testing: 68.119, usercpu_time_millis_training: 1225.078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.8301, kappa: 0.6513, kb_relative_information_score: 22762.8728, mean_absolute_error: 0.2574, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8302, predictive_accuracy: 0.8307, prior_entropy: 0.9835, recall: 0.8307, relative_absolute_error: 0.5267, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3449, root_relative_squared_error: 0.6979, scimark_benchmark: 1331.926, usercpu_time_millis: 1931.762, usercpu_time_millis_testing: 107.746, usercpu_time_millis_training: 1824.016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8906, f_measure: 0.8114, kappa: 0.6129, kb_relative_information_score: 20419.2144, mean_absolute_error: 0.2835, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8115, predictive_accuracy: 0.8122, prior_entropy: 0.9835, recall: 0.8122, relative_absolute_error: 0.5801, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3648, root_relative_squared_error: 0.738, scimark_benchmark: 1300.7601, usercpu_time_millis: 993.449, usercpu_time_millis_testing: 66.017, usercpu_time_millis_training: 927.432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9034, f_measure: 0.822, kappa: 0.6342, kb_relative_information_score: 21065.6963, mean_absolute_error: 0.2773, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8227, predictive_accuracy: 0.8231, prior_entropy: 0.9835, recall: 0.8231, relative_absolute_error: 0.5676, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3556, root_relative_squared_error: 0.7194, scimark_benchmark: 1322.7845, usercpu_time_millis: 1411.598, usercpu_time_millis_testing: 77.074, usercpu_time_millis_training: 1334.524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8925, f_measure: 0.8149, kappa: 0.6197, kb_relative_information_score: 20231.9243, mean_absolute_error: 0.286, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8156, predictive_accuracy: 0.8161, prior_entropy: 0.9835, recall: 0.8161, relative_absolute_error: 0.5853, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3641, root_relative_squared_error: 0.7366, scimark_benchmark: 1278.2584, usercpu_time_millis: 386.499, usercpu_time_millis_testing: 18.294, usercpu_time_millis_training: 368.205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9409, f_measure: 0.8609, kappa: 0.7147, kb_relative_information_score: 25974.1367, mean_absolute_error: 0.2225, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8608, predictive_accuracy: 0.8611, prior_entropy: 0.9835, recall: 0.8611, relative_absolute_error: 0.4555, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3144, root_relative_squared_error: 0.636, scimark_benchmark: 1329.2397, usercpu_time_millis: 1506.767, usercpu_time_millis_testing: 48.153, usercpu_time_millis_training: 1458.614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9601, f_measure: 0.8915, kappa: 0.7778, kb_relative_information_score: 29471.5919, mean_absolute_error: 0.1835, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8915, predictive_accuracy: 0.8916, prior_entropy: 0.9835, recall: 0.8916, relative_absolute_error: 0.3755, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2833, root_relative_squared_error: 0.5731, scimark_benchmark: 1331.3061, usercpu_time_millis: 2299.896, usercpu_time_millis_testing: 49.563, usercpu_time_millis_training: 2250.333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8809, f_measure: 0.8039, kappa: 0.5976, kb_relative_information_score: 19641.9821, mean_absolute_error: 0.2919, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8038, predictive_accuracy: 0.8045, prior_entropy: 0.9835, recall: 0.8045, relative_absolute_error: 0.5974, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3721, root_relative_squared_error: 0.7527, scimark_benchmark: 1333.2931, usercpu_time_millis: 1659.521, usercpu_time_millis_testing: 69.281, usercpu_time_millis_training: 1590.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9315, f_measure: 0.8494, kappa: 0.6911, kb_relative_information_score: 24881.9111, mean_absolute_error: 0.2342, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8494, predictive_accuracy: 0.8498, prior_entropy: 0.9835, recall: 0.8498, relative_absolute_error: 0.4793, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3256, root_relative_squared_error: 0.6588, scimark_benchmark: 1324.303, usercpu_time_millis: 3206.256, usercpu_time_millis_testing: 116.508, usercpu_time_millis_training: 3089.748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9689, f_measure: 0.906, kappa: 0.8074, kb_relative_information_score: 30410.3563, mean_absolute_error: 0.1747, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.906, predictive_accuracy: 0.9061, prior_entropy: 0.9835, recall: 0.9061, relative_absolute_error: 0.3576, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2683, root_relative_squared_error: 0.5428, scimark_benchmark: 1310.4085, usercpu_time_millis: 875.811, usercpu_time_millis_testing: 30.157, usercpu_time_millis_training: 845.654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8884, f_measure: 0.8044, kappa: 0.5974, kb_relative_information_score: 17005.6495, mean_absolute_error: 0.3253, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8101, predictive_accuracy: 0.8077, prior_entropy: 0.9835, recall: 0.8077, relative_absolute_error: 0.6657, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3769, root_relative_squared_error: 0.7625, scimark_benchmark: 1328.8184, usercpu_time_millis: 1181.959, usercpu_time_millis_testing: 94.345, usercpu_time_millis_training: 1087.614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8977, f_measure: 0.8158, kappa: 0.621, kb_relative_information_score: 18067.6625, mean_absolute_error: 0.3139, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8193, predictive_accuracy: 0.8181, prior_entropy: 0.9835, recall: 0.8181, relative_absolute_error: 0.6424, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3686, root_relative_squared_error: 0.7458, scimark_benchmark: 1309.4387, usercpu_time_millis: 249.246, usercpu_time_millis_testing: 20.239, usercpu_time_millis_training: 229.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8804, f_measure: 0.7916, kappa: 0.571, kb_relative_information_score: 17748.9288, mean_absolute_error: 0.3147, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7993, predictive_accuracy: 0.7958, prior_entropy: 0.9835, recall: 0.7958, relative_absolute_error: 0.6441, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3782, root_relative_squared_error: 0.7652, scimark_benchmark: 1327.4222, usercpu_time_millis: 475.627, usercpu_time_millis_testing: 42.317, usercpu_time_millis_training: 433.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9264, f_measure: 0.8459, kappa: 0.6833, kb_relative_information_score: 21182.462, mean_absolute_error: 0.281, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8467, predictive_accuracy: 0.8468, prior_entropy: 0.9835, recall: 0.8468, relative_absolute_error: 0.5751, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3417, root_relative_squared_error: 0.6913, scimark_benchmark: 1328.389, usercpu_time_millis: 298.011, usercpu_time_millis_testing: 20.134, usercpu_time_millis_training: 277.877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9137, f_measure: 0.8299, kappa: 0.6506, kb_relative_information_score: 22139.6782, mean_absolute_error: 0.2656, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8303, predictive_accuracy: 0.8308, prior_entropy: 0.9835, recall: 0.8308, relative_absolute_error: 0.5435, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3461, root_relative_squared_error: 0.7003, scimark_benchmark: 1320.471, usercpu_time_millis: 886.897, usercpu_time_millis_testing: 46.55, usercpu_time_millis_training: 840.347,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.8806, kappa: 0.7552, kb_relative_information_score: 27136.6937, mean_absolute_error: 0.2117, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8807, predictive_accuracy: 0.8809, prior_entropy: 0.9835, recall: 0.8809, relative_absolute_error: 0.4332, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2983, root_relative_squared_error: 0.6035, scimark_benchmark: 1320.134, usercpu_time_millis: 635.554, usercpu_time_millis_testing: 34.209, usercpu_time_millis_training: 601.345,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8193, f_measure: 0.7486, kappa: 0.484, kb_relative_information_score: 14077.8552, mean_absolute_error: 0.3538, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7652, predictive_accuracy: 0.7574, prior_entropy: 0.9835, recall: 0.7574, relative_absolute_error: 0.7241, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4155, root_relative_squared_error: 0.8406, scimark_benchmark: 788.7358, usercpu_time_millis: 105.377, usercpu_time_millis_testing: 8.154, usercpu_time_millis_training: 97.223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8992, f_measure: 0.8189, kappa: 0.6279, kb_relative_information_score: 20622.0105, mean_absolute_error: 0.2823, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8198, predictive_accuracy: 0.8201, prior_entropy: 0.9835, recall: 0.8201, relative_absolute_error: 0.5777, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3592, root_relative_squared_error: 0.7268, scimark_benchmark: 1849.8294, usercpu_time_millis: 112.128, usercpu_time_millis_testing: 6.271, usercpu_time_millis_training: 105.857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8657, f_measure: 0.7742, kappa: 0.5359, kb_relative_information_score: 14261.3072, mean_absolute_error: 0.3549, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7887, predictive_accuracy: 0.7811, prior_entropy: 0.9835, recall: 0.7811, relative_absolute_error: 0.7263, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3967, root_relative_squared_error: 0.8025, scimark_benchmark: 789.6492, usercpu_time_millis: 219.229, usercpu_time_millis_testing: 19.513, usercpu_time_millis_training: 199.716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9043, f_measure: 0.8218, kappa: 0.6341, kb_relative_information_score: 21447.5065, mean_absolute_error: 0.2726, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8222, predictive_accuracy: 0.8227, prior_entropy: 0.9835, recall: 0.8227, relative_absolute_error: 0.5579, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3541, root_relative_squared_error: 0.7164, scimark_benchmark: 1818.0322, usercpu_time_millis: 331.262, usercpu_time_millis_testing: 21.79, usercpu_time_millis_training: 309.472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8904, f_measure: 0.8138, kappa: 0.6174, kb_relative_information_score: 20018.9655, mean_absolute_error: 0.2883, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8144, predictive_accuracy: 0.8149, prior_entropy: 0.9835, recall: 0.8149, relative_absolute_error: 0.5901, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3658, root_relative_squared_error: 0.7402, scimark_benchmark: 1815.5992, usercpu_time_millis: 120.449, usercpu_time_millis_testing: 5.6, usercpu_time_millis_training: 114.849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8462, f_measure: 0.749, kappa: 0.4849, kb_relative_information_score: 15583.1375, mean_absolute_error: 0.336, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7663, predictive_accuracy: 0.758, prior_entropy: 0.9835, recall: 0.758, relative_absolute_error: 0.6877, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.8179, scimark_benchmark: 790.158, usercpu_time_millis: 216.075, usercpu_time_millis_testing: 18.246, usercpu_time_millis_training: 197.829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8997, f_measure: 0.8188, kappa: 0.6284, kb_relative_information_score: 21502.4325, mean_absolute_error: 0.2712, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8188, predictive_accuracy: 0.8194, prior_entropy: 0.9835, recall: 0.8194, relative_absolute_error: 0.5551, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3568, root_relative_squared_error: 0.7219, scimark_benchmark: 789.3389, usercpu_time_millis: 212.81, usercpu_time_millis_testing: 14.722, usercpu_time_millis_training: 198.088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8841, f_measure: 0.7963, kappa: 0.5808, kb_relative_information_score: 18182.4474, mean_absolute_error: 0.31, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8025, predictive_accuracy: 0.8, prior_entropy: 0.9835, recall: 0.8, relative_absolute_error: 0.6344, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3749, root_relative_squared_error: 0.7585, scimark_benchmark: 1272.6298, usercpu_time_millis: 828.85, usercpu_time_millis_testing: 69.794, usercpu_time_millis_training: 759.056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9483, f_measure: 0.8748, kappa: 0.7435, kb_relative_information_score: 27192.045, mean_absolute_error: 0.2092, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8748, predictive_accuracy: 0.875, prior_entropy: 0.9835, recall: 0.875, relative_absolute_error: 0.4282, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3035, root_relative_squared_error: 0.614, scimark_benchmark: 1273.4593, usercpu_time_millis: 2798.432, usercpu_time_millis_testing: 97.626, usercpu_time_millis_training: 2700.806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9175, f_measure: 0.8342, kappa: 0.6595, kb_relative_information_score: 22567.0802, mean_absolute_error: 0.2609, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8345, predictive_accuracy: 0.8349, prior_entropy: 0.9835, recall: 0.8349, relative_absolute_error: 0.5339, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3424, root_relative_squared_error: 0.6927, scimark_benchmark: 1282.5873, usercpu_time_millis: 1365.351, usercpu_time_millis_testing: 72.385, usercpu_time_millis_training: 1292.966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.855, kappa: 0.7027, kb_relative_information_score: 25380.6087, mean_absolute_error: 0.2287, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.855, predictive_accuracy: 0.8553, prior_entropy: 0.9835, recall: 0.8553, relative_absolute_error: 0.4682, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3214, root_relative_squared_error: 0.6503, scimark_benchmark: 1278.339, usercpu_time_millis: 1263.869, usercpu_time_millis_testing: 54.048, usercpu_time_millis_training: 1209.821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9498, f_measure: 0.8776, kappa: 0.7491, kb_relative_information_score: 27054.4856, mean_absolute_error: 0.2119, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8776, predictive_accuracy: 0.8778, prior_entropy: 0.9835, recall: 0.8778, relative_absolute_error: 0.4337, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.302, root_relative_squared_error: 0.611, scimark_benchmark: 1266.1143, usercpu_time_millis: 426.343, usercpu_time_millis_testing: 20.852, usercpu_time_millis_training: 405.491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9354, f_measure: 0.8535, kappa: 0.6996, kb_relative_information_score: 25109.6037, mean_absolute_error: 0.2322, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8536, predictive_accuracy: 0.8539, prior_entropy: 0.9835, recall: 0.8539, relative_absolute_error: 0.4753, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3217, root_relative_squared_error: 0.6508, scimark_benchmark: 1268.1717, usercpu_time_millis: 2303.159, usercpu_time_millis_testing: 85.592, usercpu_time_millis_training: 2217.567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9337, f_measure: 0.8501, kappa: 0.6923, kb_relative_information_score: 24437.7535, mean_absolute_error: 0.2405, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8503, predictive_accuracy: 0.8506, prior_entropy: 0.9835, recall: 0.8506, relative_absolute_error: 0.4923, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.325, root_relative_squared_error: 0.6576, scimark_benchmark: 1261.5589, usercpu_time_millis: 1066.049, usercpu_time_millis_testing: 56.458, usercpu_time_millis_training: 1009.591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.922, f_measure: 0.8396, kappa: 0.6712, kb_relative_information_score: 24934.543, mean_absolute_error: 0.2312, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8395, predictive_accuracy: 0.8399, prior_entropy: 0.9835, recall: 0.8399, relative_absolute_error: 0.4733, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3337, root_relative_squared_error: 0.6752, scimark_benchmark: 1280.2566, usercpu_time_millis: 12.522, usercpu_time_millis_testing: 0.679, usercpu_time_millis_training: 11.843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.9163, kappa: 0.8286, kb_relative_information_score: 32550.2536, mean_absolute_error: 0.149, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9163, predictive_accuracy: 0.9163, prior_entropy: 0.9835, recall: 0.9163, relative_absolute_error: 0.3049, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2525, root_relative_squared_error: 0.5109, scimark_benchmark: 1257.0939, usercpu_time_millis: 636.959, usercpu_time_millis_testing: 13.786, usercpu_time_millis_training: 623.173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9422, f_measure: 0.8611, kappa: 0.715, kb_relative_information_score: 25042.1434, mean_absolute_error: 0.2354, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8613, predictive_accuracy: 0.8616, prior_entropy: 0.9835, recall: 0.8616, relative_absolute_error: 0.4818, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3158, root_relative_squared_error: 0.639, scimark_benchmark: 1259.9103, usercpu_time_millis: 1194.683, usercpu_time_millis_testing: 51.631, usercpu_time_millis_training: 1143.052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9316, f_measure: 0.8493, kappa: 0.6909, kb_relative_information_score: 24598.2773, mean_absolute_error: 0.2381, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8494, predictive_accuracy: 0.8498, prior_entropy: 0.9835, recall: 0.8498, relative_absolute_error: 0.4873, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3261, root_relative_squared_error: 0.6598, scimark_benchmark: 1283.4284, usercpu_time_millis: 1970.603, usercpu_time_millis_testing: 111.793, usercpu_time_millis_training: 1858.81,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, f_measure: 0.853, kappa: 0.6983, kb_relative_information_score: 24736.6845, mean_absolute_error: 0.2372, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8531, predictive_accuracy: 0.8535, prior_entropy: 0.9835, recall: 0.8535, relative_absolute_error: 0.4854, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3235, root_relative_squared_error: 0.6546, scimark_benchmark: 1277.0292, usercpu_time_millis: 265.475, usercpu_time_millis_testing: 16.034, usercpu_time_millis_training: 249.441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9559, f_measure: 0.8854, kappa: 0.7651, kb_relative_information_score: 28210.3566, mean_absolute_error: 0.1987, 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: 0.4066, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.292, root_relative_squared_error: 0.5908, scimark_benchmark: 1265.769, usercpu_time_millis: 418.7, usercpu_time_millis_testing: 15.542, usercpu_time_millis_training: 403.158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9054, f_measure: 0.8226, kappa: 0.6358, kb_relative_information_score: 21560.9842, mean_absolute_error: 0.2713, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.823, predictive_accuracy: 0.8235, prior_entropy: 0.9835, recall: 0.8235, relative_absolute_error: 0.5553, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3531, root_relative_squared_error: 0.7144, scimark_benchmark: 1276.4051, usercpu_time_millis: 1901.515, usercpu_time_millis_testing: 96.712, usercpu_time_millis_training: 1804.803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9092, f_measure: 0.8257, kappa: 0.6422, kb_relative_information_score: 22208.7933, mean_absolute_error: 0.2637, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8259, predictive_accuracy: 0.8264, prior_entropy: 0.9835, recall: 0.8264, relative_absolute_error: 0.5397, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3491, root_relative_squared_error: 0.7062, scimark_benchmark: 1262.4821, usercpu_time_millis: 1018.226, usercpu_time_millis_testing: 38.188, usercpu_time_millis_training: 980.038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.7911, kappa: 0.57, kb_relative_information_score: 18429.6585, mean_absolute_error: 0.3056, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.795, predictive_accuracy: 0.7941, prior_entropy: 0.9835, recall: 0.7941, relative_absolute_error: 0.6255, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.379, root_relative_squared_error: 0.7668, scimark_benchmark: 1280.2754, usercpu_time_millis: 712.237, usercpu_time_millis_testing: 60.556, usercpu_time_millis_training: 651.681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9015, f_measure: 0.8193, kappa: 0.6282, kb_relative_information_score: 18442.0994, mean_absolute_error: 0.31, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8222, predictive_accuracy: 0.8214, prior_entropy: 0.9835, recall: 0.8214, relative_absolute_error: 0.6344, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3655, root_relative_squared_error: 0.7394, scimark_benchmark: 1279.9305, usercpu_time_millis: 679.932, usercpu_time_millis_testing: 56.808, usercpu_time_millis_training: 623.124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9312, f_measure: 0.8496, kappa: 0.6915, kb_relative_information_score: 24953.6195, mean_absolute_error: 0.2332, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8496, predictive_accuracy: 0.8499, prior_entropy: 0.9835, recall: 0.8499, relative_absolute_error: 0.4772, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3257, root_relative_squared_error: 0.659, scimark_benchmark: 1256.314, usercpu_time_millis: 3025.235, usercpu_time_millis_testing: 94.247, usercpu_time_millis_training: 2930.988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9649, f_measure: 0.8987, kappa: 0.7923, kb_relative_information_score: 29367.6083, mean_absolute_error: 0.1865, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8987, predictive_accuracy: 0.8988, prior_entropy: 0.9835, recall: 0.8988, relative_absolute_error: 0.3817, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2777, root_relative_squared_error: 0.5619, scimark_benchmark: 1267.743, usercpu_time_millis: 408.724, usercpu_time_millis_testing: 11.271, usercpu_time_millis_training: 397.453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.9142, kappa: 0.8242, kb_relative_information_score: 31867.5126, mean_absolute_error: 0.1576, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9141, predictive_accuracy: 0.9142, prior_entropy: 0.9835, recall: 0.9142, relative_absolute_error: 0.3225, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2562, root_relative_squared_error: 0.5184, scimark_benchmark: 1283.4225, usercpu_time_millis: 280.721, usercpu_time_millis_testing: 7.819, usercpu_time_millis_training: 272.902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.912, f_measure: 0.8291, kappa: 0.6492, kb_relative_information_score: 22626.5746, mean_absolute_error: 0.259, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8292, predictive_accuracy: 0.8297, prior_entropy: 0.9835, recall: 0.8297, relative_absolute_error: 0.5301, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.346, root_relative_squared_error: 0.7001, scimark_benchmark: 1264.084, usercpu_time_millis: 944.31, usercpu_time_millis_testing: 57.69, usercpu_time_millis_training: 886.62,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9469, f_measure: 0.8701, kappa: 0.7336, kb_relative_information_score: 26396.981, mean_absolute_error: 0.219, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8701, predictive_accuracy: 0.8704, prior_entropy: 0.9835, recall: 0.8704, relative_absolute_error: 0.4482, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3075, root_relative_squared_error: 0.6221, scimark_benchmark: 1263.5296, usercpu_time_millis: 495.716, usercpu_time_millis_testing: 23.079, usercpu_time_millis_training: 472.637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.757, kappa: 0.4998, kb_relative_information_score: 15905.665, mean_absolute_error: 0.331, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7625, predictive_accuracy: 0.7615, prior_entropy: 0.9835, recall: 0.7615, relative_absolute_error: 0.6775, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8218, scimark_benchmark: 1320.0316, usercpu_time_millis: 14295, usercpu_time_millis_testing: 24.966, usercpu_time_millis_training: 14270.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8241, f_measure: 0.757, kappa: 0.4999, kb_relative_information_score: 15983.007, mean_absolute_error: 0.3301, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7624, predictive_accuracy: 0.7615, prior_entropy: 0.9835, recall: 0.7615, relative_absolute_error: 0.6755, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8218, scimark_benchmark: 1295.5774, usercpu_time_millis: 4238.252, usercpu_time_millis_testing: 25.087, usercpu_time_millis_training: 4213.165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9404, f_measure: 0.861, kappa: 0.7151, kb_relative_information_score: 25976.0703, mean_absolute_error: 0.2224, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.861, predictive_accuracy: 0.8614, prior_entropy: 0.9835, recall: 0.8614, relative_absolute_error: 0.4552, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3149, root_relative_squared_error: 0.6371, scimark_benchmark: 1280.5675, usercpu_time_millis: 2384.848, usercpu_time_millis_testing: 78.966, usercpu_time_millis_training: 2305.882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8239, f_measure: 0.7573, kappa: 0.5004, kb_relative_information_score: 16051.7711, mean_absolute_error: 0.3292, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7625, predictive_accuracy: 0.7617, prior_entropy: 0.9835, recall: 0.7617, relative_absolute_error: 0.6738, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8219, scimark_benchmark: 1291.5666, usercpu_time_millis: 4298.172, usercpu_time_millis_testing: 26.008, usercpu_time_millis_training: 4272.164,

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