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: 0.9104, f_measure: 0.8265, kappa: 0.6435, kb_relative_information_score: 21232.3736, mean_absolute_error: 0.2766, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8277, predictive_accuracy: 0.8278, prior_entropy: 0.9835, recall: 0.8278, relative_absolute_error: 0.5662, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3508, root_relative_squared_error: 0.7096, scimark_benchmark: 1239.0664, usercpu_time_millis: 502.498, usercpu_time_millis_testing: 26.203, usercpu_time_millis_training: 476.295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9257, f_measure: 0.8436, kappa: 0.6787, kb_relative_information_score: 23035.9175, mean_absolute_error: 0.2571, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8441, predictive_accuracy: 0.8444, prior_entropy: 0.9835, recall: 0.8444, relative_absolute_error: 0.5262, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.335, root_relative_squared_error: 0.6778, scimark_benchmark: 1239.7569, usercpu_time_millis: 1904.56, usercpu_time_millis_testing: 121.195, usercpu_time_millis_training: 1783.365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9588, f_measure: 0.8889, kappa: 0.7722, kb_relative_information_score: 28002.2525, mean_absolute_error: 0.2022, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8889, predictive_accuracy: 0.8891, prior_entropy: 0.9835, recall: 0.8891, relative_absolute_error: 0.4139, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2897, root_relative_squared_error: 0.5862, scimark_benchmark: 1239.5594, usercpu_time_millis: 601.761, usercpu_time_millis_testing: 34.894, usercpu_time_millis_training: 566.867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.915, f_measure: 0.8321, kappa: 0.6554, kb_relative_information_score: 23386.476, mean_absolute_error: 0.2493, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8321, predictive_accuracy: 0.8326, prior_entropy: 0.9835, recall: 0.8326, relative_absolute_error: 0.5103, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3426, root_relative_squared_error: 0.6931, scimark_benchmark: 1266.009, usercpu_time_millis: 2633.707, usercpu_time_millis_testing: 73.735, usercpu_time_millis_training: 2559.972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9293, f_measure: 0.8481, kappa: 0.6885, kb_relative_information_score: 24784.7822, mean_absolute_error: 0.2349, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8481, predictive_accuracy: 0.8485, prior_entropy: 0.9835, recall: 0.8485, relative_absolute_error: 0.4808, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3278, root_relative_squared_error: 0.6631, scimark_benchmark: 1272.7005, usercpu_time_millis: 2798.899, usercpu_time_millis_testing: 102.682, usercpu_time_millis_training: 2696.217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8972, f_measure: 0.8149, kappa: 0.6191, kb_relative_information_score: 17983.2789, mean_absolute_error: 0.3148, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8184, predictive_accuracy: 0.8172, prior_entropy: 0.9835, recall: 0.8172, relative_absolute_error: 0.6444, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3692, root_relative_squared_error: 0.747, scimark_benchmark: 1251.1021, usercpu_time_millis: 1413.993, usercpu_time_millis_testing: 103.762, usercpu_time_millis_training: 1310.231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9299, f_measure: 0.8479, kappa: 0.6879, kb_relative_information_score: 24615.6522, mean_absolute_error: 0.2372, 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: 0.4855, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3277, root_relative_squared_error: 0.6629, scimark_benchmark: 1274.9054, usercpu_time_millis: 4162.712, usercpu_time_millis_testing: 122.571, usercpu_time_millis_training: 4040.141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8901, f_measure: 0.805, kappa: 0.5987, kb_relative_information_score: 18957.6731, mean_absolute_error: 0.3014, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8092, predictive_accuracy: 0.8078, prior_entropy: 0.9835, recall: 0.8078, relative_absolute_error: 0.6169, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3693, root_relative_squared_error: 0.7471, scimark_benchmark: 1239.8759, usercpu_time_millis: 1106.788, usercpu_time_millis_testing: 102.882, usercpu_time_millis_training: 1003.906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2518, kb_relative_information_score: -4096.9403, mean_absolute_error: 0.5204, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, predictive_accuracy: 0.4245, prior_entropy: 0.9835, recall: 0.4245, relative_absolute_error: 1.0651, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5259, root_relative_squared_error: 1.064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -3108.1355, mean_absolute_error: 0.5119, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, predictive_accuracy: 0.4245, prior_entropy: 0.9835, recall: 0.4245, relative_absolute_error: 1.0476, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5178, root_relative_squared_error: 1.0475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.9084, kappa: 0.8124, kb_relative_information_score: 30749.2424, mean_absolute_error: 0.1708, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9084, predictive_accuracy: 0.9085, prior_entropy: 0.9835, recall: 0.9085, relative_absolute_error: 0.3495, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2654, root_relative_squared_error: 0.5369, scimark_benchmark: 1254.3333, usercpu_time_millis: 685.227, usercpu_time_millis_testing: 22.299, usercpu_time_millis_training: 662.928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -3134.4843, mean_absolute_error: 0.5121, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, predictive_accuracy: 0.4245, prior_entropy: 0.9835, recall: 0.4245, relative_absolute_error: 1.0481, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5182, root_relative_squared_error: 1.0485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.244, kb_relative_information_score: -3090.7281, mean_absolute_error: 0.5117, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, predictive_accuracy: 0.4245, prior_entropy: 0.9835, recall: 0.4245, relative_absolute_error: 1.0473, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5172, root_relative_squared_error: 1.0465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9638, f_measure: 0.8966, kappa: 0.7882, kb_relative_information_score: 29022.7198, mean_absolute_error: 0.1908, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8966, predictive_accuracy: 0.8968, prior_entropy: 0.9835, recall: 0.8968, relative_absolute_error: 0.3905, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2802, root_relative_squared_error: 0.567, scimark_benchmark: 1240.7301, usercpu_time_millis: 1077.699, usercpu_time_millis_testing: 47.155, usercpu_time_millis_training: 1030.544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9572, f_measure: 0.886, kappa: 0.7663, kb_relative_information_score: 27823.9996, mean_absolute_error: 0.2044, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8861, predictive_accuracy: 0.8863, prior_entropy: 0.9835, recall: 0.8863, relative_absolute_error: 0.4184, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2914, root_relative_squared_error: 0.5896, scimark_benchmark: 1247.9366, usercpu_time_millis: 86.701, usercpu_time_millis_testing: 4.766, usercpu_time_millis_training: 81.935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9025, f_measure: 0.8202, kappa: 0.6303, kb_relative_information_score: 20361.3164, mean_absolute_error: 0.2861, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8219, predictive_accuracy: 0.8218, prior_entropy: 0.9835, recall: 0.8218, relative_absolute_error: 0.5856, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3581, root_relative_squared_error: 0.7245, scimark_benchmark: 1246.5857, usercpu_time_millis: 758.992, usercpu_time_millis_testing: 55.362, usercpu_time_millis_training: 703.63,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8789, f_measure: 0.8002, kappa: 0.5899, kb_relative_information_score: 19501.1494, mean_absolute_error: 0.2935, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8002, predictive_accuracy: 0.8009, prior_entropy: 0.9835, recall: 0.8009, relative_absolute_error: 0.6006, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3735, root_relative_squared_error: 0.7556, scimark_benchmark: 1241.6098, usercpu_time_millis: 1271.959, usercpu_time_millis_testing: 78.068, usercpu_time_millis_training: 1193.891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.9195, kappa: 0.8351, kb_relative_information_score: 33171.4808, mean_absolute_error: 0.1415, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9195, predictive_accuracy: 0.9195, prior_entropy: 0.9835, recall: 0.9195, relative_absolute_error: 0.2896, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2477, root_relative_squared_error: 0.501, scimark_benchmark: 1255.9611, usercpu_time_millis: 1717.043, usercpu_time_millis_testing: 32.855, usercpu_time_millis_training: 1684.188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8932, f_measure: 0.8091, kappa: 0.6072, kb_relative_information_score: 19309.8626, mean_absolute_error: 0.2976, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8121, predictive_accuracy: 0.8114, prior_entropy: 0.9835, recall: 0.8114, relative_absolute_error: 0.6091, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.7414, scimark_benchmark: 1247.1217, usercpu_time_millis: 256.913, usercpu_time_millis_testing: 15.282, usercpu_time_millis_training: 241.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8786, f_measure: 0.8005, kappa: 0.5905, kb_relative_information_score: 19641.6283, mean_absolute_error: 0.2918, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8005, predictive_accuracy: 0.8012, prior_entropy: 0.9835, recall: 0.8012, relative_absolute_error: 0.5973, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3732, root_relative_squared_error: 0.7551, scimark_benchmark: 1276.1536, usercpu_time_millis: 82.846, usercpu_time_millis_testing: 4.364, usercpu_time_millis_training: 78.482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8898, f_measure: 0.8123, kappa: 0.6148, kb_relative_information_score: 20436.6479, mean_absolute_error: 0.2831, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8122, predictive_accuracy: 0.8129, prior_entropy: 0.9835, recall: 0.8129, relative_absolute_error: 0.5795, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3652, root_relative_squared_error: 0.7389, scimark_benchmark: 1268.6096, usercpu_time_millis: 652.339, usercpu_time_millis_testing: 35.138, usercpu_time_millis_training: 617.201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -3032.1534, mean_absolute_error: 0.5112, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, predictive_accuracy: 0.4245, prior_entropy: 0.9835, recall: 0.4245, relative_absolute_error: 1.0463, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5165, root_relative_squared_error: 1.0449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9226, f_measure: 0.8392, kappa: 0.6698, kb_relative_information_score: 23161.1115, mean_absolute_error: 0.2546, 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: 0.521, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.337, root_relative_squared_error: 0.6818, scimark_benchmark: 1249.8482, usercpu_time_millis: 519.733, usercpu_time_millis_testing: 40.061, usercpu_time_millis_training: 479.672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8972, f_measure: 0.8147, kappa: 0.6187, kb_relative_information_score: 19788.998, mean_absolute_error: 0.2924, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.817, predictive_accuracy: 0.8166, prior_entropy: 0.9835, recall: 0.8166, relative_absolute_error: 0.5984, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.734, scimark_benchmark: 1251.5639, usercpu_time_millis: 814.689, usercpu_time_millis_testing: 56.293, usercpu_time_millis_training: 758.396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9047, f_measure: 0.821, kappa: 0.6327, kb_relative_information_score: 21986.3655, mean_absolute_error: 0.2657, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8211, predictive_accuracy: 0.8217, prior_entropy: 0.9835, recall: 0.8217, relative_absolute_error: 0.5437, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3528, root_relative_squared_error: 0.7137, scimark_benchmark: 1244.7699, usercpu_time_millis: 2113.44, usercpu_time_millis_testing: 84.813, usercpu_time_millis_training: 2028.627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.8308, kappa: 0.6527, kb_relative_information_score: 22725.1392, mean_absolute_error: 0.2582, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8309, predictive_accuracy: 0.8314, prior_entropy: 0.9835, recall: 0.8314, relative_absolute_error: 0.5284, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3442, root_relative_squared_error: 0.6963, scimark_benchmark: 1248.6167, usercpu_time_millis: 1849.718, usercpu_time_millis_testing: 105.154, usercpu_time_millis_training: 1744.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.207, kb_relative_information_score: -4139.0392, mean_absolute_error: 0.5208, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, predictive_accuracy: 0.4245, prior_entropy: 0.9835, recall: 0.4245, relative_absolute_error: 1.066, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5264, root_relative_squared_error: 1.0649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.9196, kappa: 0.8353, kb_relative_information_score: 32382.2058, mean_absolute_error: 0.1521, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9195, predictive_accuracy: 0.9196, prior_entropy: 0.9835, recall: 0.9196, relative_absolute_error: 0.3113, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2492, root_relative_squared_error: 0.5043, scimark_benchmark: 1237.3355, usercpu_time_millis: 298.311, usercpu_time_millis_testing: 8.402, usercpu_time_millis_training: 289.909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9352, f_measure: 0.8563, kappa: 0.7054, kb_relative_information_score: 25708.3799, mean_absolute_error: 0.2245, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8563, predictive_accuracy: 0.8566, prior_entropy: 0.9835, recall: 0.8566, relative_absolute_error: 0.4596, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3203, root_relative_squared_error: 0.648, scimark_benchmark: 1272.11, usercpu_time_millis: 1598.154, usercpu_time_millis_testing: 45.967, usercpu_time_millis_training: 1552.187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9328, f_measure: 0.8512, kappa: 0.6945, kb_relative_information_score: 23787.4654, mean_absolute_error: 0.2493, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8516, predictive_accuracy: 0.8518, prior_entropy: 0.9835, recall: 0.8518, relative_absolute_error: 0.5103, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3273, root_relative_squared_error: 0.6623, scimark_benchmark: 1272.5478, usercpu_time_millis: 1129.658, usercpu_time_millis_testing: 89.3, usercpu_time_millis_training: 1040.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1112, f_measure: 0.1806, kappa: -0.5715, kb_relative_information_score: -23753.1852, mean_absolute_error: 0.7192, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.1881, predictive_accuracy: 0.1869, prior_entropy: 0.9835, recall: 0.1869, relative_absolute_error: 1.4719, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.7558, root_relative_squared_error: 1.5291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1606, kb_relative_information_score: -3215.7972, mean_absolute_error: 0.5128, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, predictive_accuracy: 0.4245, prior_entropy: 0.9835, recall: 0.4245, relative_absolute_error: 1.0495, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5182, root_relative_squared_error: 1.0483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9503, f_measure: 0.8767, kappa: 0.7474, kb_relative_information_score: 27206.1742, mean_absolute_error: 0.2099, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8767, predictive_accuracy: 0.8769, prior_entropy: 0.9835, recall: 0.8769, relative_absolute_error: 0.4295, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3012, root_relative_squared_error: 0.6095, scimark_benchmark: 1267.8315, usercpu_time_millis: 811.672, usercpu_time_millis_testing: 35.097, usercpu_time_millis_training: 776.575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9322, f_measure: 0.8501, kappa: 0.6925, kb_relative_information_score: 24858.7763, mean_absolute_error: 0.2347, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8501, predictive_accuracy: 0.8505, prior_entropy: 0.9835, recall: 0.8505, relative_absolute_error: 0.4803, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3251, root_relative_squared_error: 0.6577, scimark_benchmark: 1263.9178, usercpu_time_millis: 3008.881, usercpu_time_millis_testing: 128.369, usercpu_time_millis_training: 2880.512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9009, f_measure: 0.8183, kappa: 0.6262, kb_relative_information_score: 18350.5041, mean_absolute_error: 0.311, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8212, predictive_accuracy: 0.8204, prior_entropy: 0.9835, recall: 0.8204, relative_absolute_error: 0.6364, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3661, root_relative_squared_error: 0.7407, scimark_benchmark: 1265.5462, usercpu_time_millis: 1270.393, usercpu_time_millis_testing: 92.557, usercpu_time_millis_training: 1177.836,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.233, kb_relative_information_score: -3389.6785, mean_absolute_error: 0.5143, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, predictive_accuracy: 0.4245, prior_entropy: 0.9835, recall: 0.4245, relative_absolute_error: 1.0526, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5202, root_relative_squared_error: 1.0524,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.8291, kappa: 0.6494, kb_relative_information_score: 22631.2965, mean_absolute_error: 0.2588, 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: 0.5297, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3461, root_relative_squared_error: 0.7002, scimark_benchmark: 1231.0613, usercpu_time_millis: 1176.025, usercpu_time_millis_testing: 64.648, usercpu_time_millis_training: 1111.377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9187, f_measure: 0.8348, kappa: 0.6607, kb_relative_information_score: 22200.8425, mean_absolute_error: 0.2661, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8355, predictive_accuracy: 0.8358, prior_entropy: 0.9835, recall: 0.8358, relative_absolute_error: 0.5446, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3425, root_relative_squared_error: 0.6929, scimark_benchmark: 1245.5855, usercpu_time_millis: 1315.395, usercpu_time_millis_testing: 84.383, usercpu_time_millis_training: 1231.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9416, f_measure: 0.8641, kappa: 0.7215, kb_relative_information_score: 26311.5298, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8641, predictive_accuracy: 0.8643, prior_entropy: 0.9835, recall: 0.8643, relative_absolute_error: 0.4472, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3127, root_relative_squared_error: 0.6327, scimark_benchmark: 1241.1103, usercpu_time_millis: 1020.862, usercpu_time_millis_testing: 26.61, usercpu_time_millis_training: 994.252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9134, f_measure: 0.8306, kappa: 0.6517, kb_relative_information_score: 19774.7054, mean_absolute_error: 0.2958, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8323, predictive_accuracy: 0.8321, prior_entropy: 0.9835, recall: 0.8321, relative_absolute_error: 0.6055, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3544, root_relative_squared_error: 0.7169, scimark_benchmark: 1232.6489, usercpu_time_millis: 1060.552, usercpu_time_millis_testing: 86.86, usercpu_time_millis_training: 973.692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.949, f_measure: 0.8762, kappa: 0.7462, kb_relative_information_score: 26833.5072, mean_absolute_error: 0.2145, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8762, predictive_accuracy: 0.8764, prior_entropy: 0.9835, recall: 0.8764, relative_absolute_error: 0.4389, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3036, root_relative_squared_error: 0.6142, scimark_benchmark: 1243.7105, usercpu_time_millis: 1890.323, usercpu_time_millis_testing: 102.956, usercpu_time_millis_training: 1787.367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9527, f_measure: 0.8776, kappa: 0.749, kb_relative_information_score: 26630.0853, mean_absolute_error: 0.2182, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8777, predictive_accuracy: 0.8779, prior_entropy: 0.9835, recall: 0.8779, relative_absolute_error: 0.4465, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3006, root_relative_squared_error: 0.6082, scimark_benchmark: 1239.108, usercpu_time_millis: 803.487, usercpu_time_millis_testing: 42.553, usercpu_time_millis_training: 760.934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9509, f_measure: 0.8789, kappa: 0.752, kb_relative_information_score: 28032.0024, mean_absolute_error: 0.1991, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8789, predictive_accuracy: 0.879, prior_entropy: 0.9835, recall: 0.879, relative_absolute_error: 0.4074, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2985, root_relative_squared_error: 0.6039, scimark_benchmark: 1249.0664, usercpu_time_millis: 634.285, usercpu_time_millis_testing: 15.34, usercpu_time_millis_training: 618.945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9308, f_measure: 0.8469, kappa: 0.6857, kb_relative_information_score: 24081.882, mean_absolute_error: 0.2444, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8472, predictive_accuracy: 0.8475, prior_entropy: 0.9835, recall: 0.8475, relative_absolute_error: 0.5001, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3284, root_relative_squared_error: 0.6644, scimark_benchmark: 1247.9058, usercpu_time_millis: 1588.703, usercpu_time_millis_testing: 76.757, usercpu_time_millis_training: 1511.946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9157, f_measure: 0.833, kappa: 0.6568, kb_relative_information_score: 21904.4407, mean_absolute_error: 0.2694, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8339, predictive_accuracy: 0.8341, prior_entropy: 0.9835, recall: 0.8341, relative_absolute_error: 0.5513, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3453, root_relative_squared_error: 0.6986, scimark_benchmark: 1238.13, usercpu_time_millis: 1235.35, usercpu_time_millis_testing: 91.103, usercpu_time_millis_training: 1144.247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.757, kappa: 0.4998, kb_relative_information_score: 15891.1262, mean_absolute_error: 0.3312, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7625, predictive_accuracy: 0.7616, prior_entropy: 0.9835, recall: 0.7616, relative_absolute_error: 0.6779, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8218, scimark_benchmark: 1292.2302, usercpu_time_millis: 5407.002, usercpu_time_millis_testing: 25.545, usercpu_time_millis_training: 5381.457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.7568, kappa: 0.4994, kb_relative_information_score: 15867.1608, mean_absolute_error: 0.3315, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7624, predictive_accuracy: 0.7614, prior_entropy: 0.9835, recall: 0.7614, relative_absolute_error: 0.6785, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8218, scimark_benchmark: 1295.8907, usercpu_time_millis: 17264.209, usercpu_time_millis_testing: 26.203, usercpu_time_millis_training: 17238.006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9485, f_measure: 0.874, kappa: 0.7419, kb_relative_information_score: 26999.6197, mean_absolute_error: 0.2115, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.874, predictive_accuracy: 0.8743, prior_entropy: 0.9835, recall: 0.8743, relative_absolute_error: 0.4328, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3042, root_relative_squared_error: 0.6154, scimark_benchmark: 1244.4849, usercpu_time_millis: 254.369, usercpu_time_millis_testing: 6.25, usercpu_time_millis_training: 248.119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9287, f_measure: 0.8465, kappa: 0.6849, kb_relative_information_score: 23391.7483, mean_absolute_error: 0.2532, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8469, predictive_accuracy: 0.8472, prior_entropy: 0.9835, recall: 0.8472, relative_absolute_error: 0.5182, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3318, root_relative_squared_error: 0.6713, scimark_benchmark: 1237.6267, usercpu_time_millis: 629.693, usercpu_time_millis_testing: 39.017, usercpu_time_millis_training: 590.676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8004, f_measure: 0.7297, kappa: 0.4489, kb_relative_information_score: 14062.2353, mean_absolute_error: 0.3469, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7312, predictive_accuracy: 0.729, prior_entropy: 0.9835, recall: 0.729, relative_absolute_error: 0.71, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4251, root_relative_squared_error: 0.86, scimark_benchmark: 1293.7086, usercpu_time_millis: 12521.101, usercpu_time_millis_testing: 83.863, usercpu_time_millis_training: 12437.238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, f_measure: 0.9116, kappa: 0.8189, kb_relative_information_score: 31259.1147, mean_absolute_error: 0.1649, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9115, predictive_accuracy: 0.9116, prior_entropy: 0.9835, recall: 0.9116, relative_absolute_error: 0.3374, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2609, root_relative_squared_error: 0.5278, scimark_benchmark: 1238.5218, usercpu_time_millis: 1109.857, usercpu_time_millis_testing: 29.301, usercpu_time_millis_training: 1080.556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9402, f_measure: 0.8589, kappa: 0.7104, kb_relative_information_score: 24800.1521, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8591, predictive_accuracy: 0.8594, prior_entropy: 0.9835, recall: 0.8594, relative_absolute_error: 0.487, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3183, root_relative_squared_error: 0.644, scimark_benchmark: 1237.9467, usercpu_time_millis: 443.352, usercpu_time_millis_testing: 24.756, usercpu_time_millis_training: 418.596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9416, f_measure: 0.862, kappa: 0.717, kb_relative_information_score: 25826.8156, mean_absolute_error: 0.2249, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8621, predictive_accuracy: 0.8624, prior_entropy: 0.9835, recall: 0.8624, relative_absolute_error: 0.4603, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.314, root_relative_squared_error: 0.6352, scimark_benchmark: 1234.1869, usercpu_time_millis: 1762.704, usercpu_time_millis_testing: 83.631, usercpu_time_millis_training: 1679.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9018, f_measure: 0.8197, kappa: 0.6298, kb_relative_information_score: 21450.7594, mean_absolute_error: 0.2721, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8199, predictive_accuracy: 0.8204, prior_entropy: 0.9835, recall: 0.8204, relative_absolute_error: 0.557, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3557, root_relative_squared_error: 0.7197, scimark_benchmark: 1242.9118, usercpu_time_millis: 1024.822, usercpu_time_millis_testing: 50.864, usercpu_time_millis_training: 973.958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9153, f_measure: 0.8327, kappa: 0.6564, kb_relative_information_score: 22653.3018, mean_absolute_error: 0.2594, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8331, predictive_accuracy: 0.8335, prior_entropy: 0.9835, recall: 0.8335, relative_absolute_error: 0.5309, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3436, root_relative_squared_error: 0.6951, scimark_benchmark: 1251.2153, usercpu_time_millis: 20.848, usercpu_time_millis_testing: 1.089, usercpu_time_millis_training: 19.759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8977, f_measure: 0.8182, kappa: 0.6265, kb_relative_information_score: 20769.4384, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8189, predictive_accuracy: 0.8193, prior_entropy: 0.9835, recall: 0.8193, relative_absolute_error: 0.5733, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3598, root_relative_squared_error: 0.7278, scimark_benchmark: 1250.6863, usercpu_time_millis: 356.01, usercpu_time_millis_testing: 27.713, usercpu_time_millis_training: 328.297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9241, f_measure: 0.842, kappa: 0.676, kb_relative_information_score: 24294.3807, mean_absolute_error: 0.2399, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8419, predictive_accuracy: 0.8423, prior_entropy: 0.9835, recall: 0.8423, relative_absolute_error: 0.4909, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3334, root_relative_squared_error: 0.6745, scimark_benchmark: 1219.0891, usercpu_time_millis: 2060.039, usercpu_time_millis_testing: 65.931, usercpu_time_millis_training: 1994.108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9264, f_measure: 0.8434, kappa: 0.6787, kb_relative_information_score: 24055.6048, mean_absolute_error: 0.2436, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8435, predictive_accuracy: 0.8439, prior_entropy: 0.9835, recall: 0.8439, relative_absolute_error: 0.4986, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3319, root_relative_squared_error: 0.6715, scimark_benchmark: 1246.7021, usercpu_time_millis: 2506.391, usercpu_time_millis_testing: 111.589, usercpu_time_millis_training: 2394.802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9572, f_measure: 0.8868, kappa: 0.768, kb_relative_information_score: 29453.2628, mean_absolute_error: 0.1828, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8867, predictive_accuracy: 0.8869, prior_entropy: 0.9835, recall: 0.8869, relative_absolute_error: 0.3741, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2869, root_relative_squared_error: 0.5804, scimark_benchmark: 1240.5837, usercpu_time_millis: 3732.517, usercpu_time_millis_testing: 73.486, usercpu_time_millis_training: 3659.031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9353, f_measure: 0.8527, kappa: 0.6978, kb_relative_information_score: 24642.4002, mean_absolute_error: 0.2382, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8529, predictive_accuracy: 0.8532, prior_entropy: 0.9835, recall: 0.8532, relative_absolute_error: 0.4876, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3232, root_relative_squared_error: 0.6538, scimark_benchmark: 1245.8093, usercpu_time_millis: 1664.384, usercpu_time_millis_testing: 72.893, usercpu_time_millis_training: 1591.491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.8285, kappa: 0.6475, kb_relative_information_score: 21477.5895, mean_absolute_error: 0.2739, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8295, predictive_accuracy: 0.8297, prior_entropy: 0.9835, recall: 0.8297, relative_absolute_error: 0.5606, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3489, root_relative_squared_error: 0.7059, scimark_benchmark: 1237.7878, usercpu_time_millis: 887.191, usercpu_time_millis_testing: 63.029, usercpu_time_millis_training: 824.162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9341, f_measure: 0.8524, kappa: 0.6972, kb_relative_information_score: 24929.7133, mean_absolute_error: 0.2342, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8525, predictive_accuracy: 0.8528, prior_entropy: 0.9835, recall: 0.8528, relative_absolute_error: 0.4793, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3233, root_relative_squared_error: 0.6541, scimark_benchmark: 1239.7015, usercpu_time_millis: 1346.266, usercpu_time_millis_testing: 45.399, usercpu_time_millis_training: 1300.867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9208, f_measure: 0.8382, kappa: 0.6681, kb_relative_information_score: 23242.1419, mean_absolute_error: 0.2529, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8383, predictive_accuracy: 0.8388, prior_entropy: 0.9835, recall: 0.8388, relative_absolute_error: 0.5175, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3383, root_relative_squared_error: 0.6845, scimark_benchmark: 1233.7681, usercpu_time_millis: 1586.672, usercpu_time_millis_testing: 67.545, usercpu_time_millis_training: 1519.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8952, f_measure: 0.8123, kappa: 0.6139, kb_relative_information_score: 19545.035, mean_absolute_error: 0.295, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8154, predictive_accuracy: 0.8146, prior_entropy: 0.9835, recall: 0.8146, relative_absolute_error: 0.6038, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3647, root_relative_squared_error: 0.7379, scimark_benchmark: 1223.0561, usercpu_time_millis: 595.574, usercpu_time_millis_testing: 43.524, usercpu_time_millis_training: 552.05,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8955, f_measure: 0.8171, kappa: 0.6242, kb_relative_information_score: 20511.3597, mean_absolute_error: 0.2829, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8177, predictive_accuracy: 0.8182, prior_entropy: 0.9835, recall: 0.8182, relative_absolute_error: 0.579, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.7318, scimark_benchmark: 1243.9465, usercpu_time_millis: 674.067, usercpu_time_millis_testing: 49.894, usercpu_time_millis_training: 624.173,

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