Task
Supervised Classification on electricity

Supervised Classification on electricity

Task 146012 Supervised Classification electricity 25374 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9597, f_measure: 0.8907, kappa: 0.7759, kb_relative_information_score: 28368.8204, mean_absolute_error: 0.1978, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8907, predictive_accuracy: 0.8908, prior_entropy: 0.9835, recall: 0.8908, relative_absolute_error: 0.4048, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2874, root_relative_squared_error: 0.5815, scimark_benchmark: 1275.8954, usercpu_time_millis: 691.265, usercpu_time_millis_testing: 29.941, usercpu_time_millis_training: 661.324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9635, f_measure: 0.8942, kappa: 0.783, kb_relative_information_score: 28546.4187, mean_absolute_error: 0.1971, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8943, predictive_accuracy: 0.8944, prior_entropy: 0.9835, recall: 0.8944, relative_absolute_error: 0.4033, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2819, root_relative_squared_error: 0.5703, scimark_benchmark: 1287.866, usercpu_time_millis: 619.416, usercpu_time_millis_testing: 30.014, usercpu_time_millis_training: 589.402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9495, f_measure: 0.8728, kappa: 0.739, kb_relative_information_score: 26113.4013, mean_absolute_error: 0.224, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8729, predictive_accuracy: 0.8731, prior_entropy: 0.9835, recall: 0.8731, relative_absolute_error: 0.4583, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3054, root_relative_squared_error: 0.6179, scimark_benchmark: 1306.7323, usercpu_time_millis: 254.298, usercpu_time_millis_testing: 15.209, usercpu_time_millis_training: 239.089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7019, f_measure: 0.5822, kappa: 0.2241, kb_relative_information_score: 6994.2992, mean_absolute_error: 0.4169, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.6519, predictive_accuracy: 0.592, prior_entropy: 0.9835, recall: 0.592, relative_absolute_error: 0.8532, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4557, root_relative_squared_error: 0.922, scimark_benchmark: 1275.6605, usercpu_time_millis: 793.361, usercpu_time_millis_testing: 0.099, usercpu_time_millis_training: 793.262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7867, f_measure: 0.6945, kappa: 0.381, kb_relative_information_score: 12339.6763, mean_absolute_error: 0.3653, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.6994, predictive_accuracy: 0.693, prior_entropy: 0.9835, recall: 0.693, relative_absolute_error: 0.7475, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4261, root_relative_squared_error: 0.8621, scimark_benchmark: 1254.2864, usercpu_time_millis: 297.787, usercpu_time_millis_testing: 0.092, usercpu_time_millis_training: 297.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7866, f_measure: 0.6946, kappa: 0.3811, kb_relative_information_score: 12292.4159, mean_absolute_error: 0.3658, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.6994, predictive_accuracy: 0.6931, prior_entropy: 0.9835, recall: 0.6931, relative_absolute_error: 0.7487, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4262, root_relative_squared_error: 0.8622, scimark_benchmark: 1247.5455, usercpu_time_millis: 337.758, usercpu_time_millis_testing: 0.103, usercpu_time_millis_training: 337.655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1267.8627, usercpu_time_millis: 1.245, usercpu_time_millis_testing: 0.323, usercpu_time_millis_training: 0.922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1248.3516, usercpu_time_millis: 1.182, usercpu_time_millis_testing: 0.271, usercpu_time_millis_training: 0.911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8255, f_measure: 0.7534, kappa: 0.4925, kb_relative_information_score: 15127.3368, mean_absolute_error: 0.3402, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7612, predictive_accuracy: 0.759, prior_entropy: 0.9835, recall: 0.759, relative_absolute_error: 0.6962, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4066, root_relative_squared_error: 0.8226, scimark_benchmark: 1268.5162, usercpu_time_millis: 2.192, usercpu_time_millis_testing: 0.1, usercpu_time_millis_training: 2.092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8262, f_measure: 0.7525, kappa: 0.4906, kb_relative_information_score: 14891.1789, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7602, predictive_accuracy: 0.7581, prior_entropy: 0.9835, recall: 0.7581, relative_absolute_error: 0.7016, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4069, root_relative_squared_error: 0.8232, scimark_benchmark: 1248.4713, usercpu_time_millis: 2.01, usercpu_time_millis_testing: 0.096, usercpu_time_millis_training: 1.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8256, f_measure: 0.7538, kappa: 0.4933, kb_relative_information_score: 15315.8187, mean_absolute_error: 0.3379, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7612, predictive_accuracy: 0.7592, prior_entropy: 0.9835, recall: 0.7592, relative_absolute_error: 0.6916, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4063, root_relative_squared_error: 0.822, scimark_benchmark: 1233.5696, usercpu_time_millis: 2.062, usercpu_time_millis_testing: 0.099, usercpu_time_millis_training: 1.963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8135, f_measure: 0.7479, kappa: 0.4822, kb_relative_information_score: 12097.9931, mean_absolute_error: 0.3749, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7622, predictive_accuracy: 0.7561, prior_entropy: 0.9835, recall: 0.7561, relative_absolute_error: 0.7672, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4172, root_relative_squared_error: 0.8442, scimark_benchmark: 1253.6635, usercpu_time_millis: 1.816, usercpu_time_millis_testing: 0.121, usercpu_time_millis_training: 1.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1261.5709, usercpu_time_millis: 1.19, usercpu_time_millis_testing: 0.275, usercpu_time_millis_training: 0.915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1228.5184, usercpu_time_millis: 1.155, usercpu_time_millis_testing: 0.261, usercpu_time_millis_training: 0.894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1261.6449, usercpu_time_millis: 1.943, usercpu_time_millis_testing: 0.491, usercpu_time_millis_training: 1.452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8262, f_measure: 0.7534, kappa: 0.4926, kb_relative_information_score: 15196.6721, mean_absolute_error: 0.3393, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7608, predictive_accuracy: 0.7589, prior_entropy: 0.9835, recall: 0.7589, relative_absolute_error: 0.6944, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4064, root_relative_squared_error: 0.8221, scimark_benchmark: 1245.1499, usercpu_time_millis: 2.236, usercpu_time_millis_testing: 0.113, usercpu_time_millis_training: 2.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7925, f_measure: 0.7073, kappa: 0.4069, kb_relative_information_score: 6821.8854, mean_absolute_error: 0.4289, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7507, predictive_accuracy: 0.7272, prior_entropy: 0.9835, recall: 0.7272, relative_absolute_error: 0.8778, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4463, root_relative_squared_error: 0.9029, scimark_benchmark: 1237.5426, usercpu_time_millis: 1.521, usercpu_time_millis_testing: 0.106, usercpu_time_millis_training: 1.415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8263, f_measure: 0.7543, kappa: 0.4944, kb_relative_information_score: 15522.9214, mean_absolute_error: 0.3354, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7612, predictive_accuracy: 0.7595, prior_entropy: 0.9835, recall: 0.7595, relative_absolute_error: 0.6864, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.406, root_relative_squared_error: 0.8213, scimark_benchmark: 1239.086, usercpu_time_millis: 2.246, usercpu_time_millis_testing: 0.094, usercpu_time_millis_training: 2.152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1244.7166, usercpu_time_millis: 1.239, usercpu_time_millis_testing: 0.301, usercpu_time_millis_training: 0.938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1263.9479, usercpu_time_millis: 1.824, usercpu_time_millis_testing: 0.375, usercpu_time_millis_training: 1.449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1242.7543, usercpu_time_millis: 1.351, usercpu_time_millis_testing: 0.281, usercpu_time_millis_training: 1.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1238.5468, usercpu_time_millis: 1.325, usercpu_time_millis_testing: 0.35, usercpu_time_millis_training: 0.975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1235.686, usercpu_time_millis: 1.365, usercpu_time_millis_testing: 0.358, usercpu_time_millis_training: 1.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7997, f_measure: 0.7271, kappa: 0.443, kb_relative_information_score: 8347.5487, mean_absolute_error: 0.4139, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7563, predictive_accuracy: 0.7412, prior_entropy: 0.9835, recall: 0.7412, relative_absolute_error: 0.847, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4369, root_relative_squared_error: 0.884, scimark_benchmark: 1240.993, usercpu_time_millis: 1.917, usercpu_time_millis_testing: 0.131, usercpu_time_millis_training: 1.786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8198, f_measure: 0.7519, kappa: 0.4898, kb_relative_information_score: 13748.5382, mean_absolute_error: 0.3564, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7625, predictive_accuracy: 0.7586, prior_entropy: 0.9835, recall: 0.7586, relative_absolute_error: 0.7294, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4106, root_relative_squared_error: 0.8307, scimark_benchmark: 1260.9222, usercpu_time_millis: 2.343, usercpu_time_millis_testing: 0.118, usercpu_time_millis_training: 2.225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1261.5697, usercpu_time_millis: 1.876, usercpu_time_millis_testing: 0.412, usercpu_time_millis_training: 1.464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1260.9547, usercpu_time_millis: 1.645, usercpu_time_millis_testing: 0.418, usercpu_time_millis_training: 1.227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1268.3212, usercpu_time_millis: 2.257, usercpu_time_millis_testing: 0.481, usercpu_time_millis_training: 1.776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7619, f_measure: 0.6608, kappa: 0.3267, kb_relative_information_score: 10480.6401, mean_absolute_error: 0.3835, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.6796, predictive_accuracy: 0.6594, prior_entropy: 0.9835, recall: 0.6594, relative_absolute_error: 0.7848, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4361, root_relative_squared_error: 0.8822, scimark_benchmark: 1271.8294, usercpu_time_millis: 536.356, usercpu_time_millis_testing: 0.118, usercpu_time_millis_training: 536.238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8248, f_measure: 0.752, kappa: 0.4898, kb_relative_information_score: 14565.3103, mean_absolute_error: 0.3468, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.761, predictive_accuracy: 0.7581, prior_entropy: 0.9835, recall: 0.7581, relative_absolute_error: 0.7098, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4076, root_relative_squared_error: 0.8247, scimark_benchmark: 1262.5343, usercpu_time_millis: 2.145, usercpu_time_millis_testing: 0.102, usercpu_time_millis_training: 2.043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8263, f_measure: 0.7545, kappa: 0.4947, kb_relative_information_score: 15567.6368, mean_absolute_error: 0.3349, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7613, predictive_accuracy: 0.7597, prior_entropy: 0.9835, recall: 0.7597, relative_absolute_error: 0.6854, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4059, root_relative_squared_error: 0.8213, scimark_benchmark: 1279.9431, usercpu_time_millis: 2.073, usercpu_time_millis_testing: 0.104, usercpu_time_millis_training: 1.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8267, f_measure: 0.7544, kappa: 0.4946, kb_relative_information_score: 15563.1903, mean_absolute_error: 0.3349, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7612, predictive_accuracy: 0.7596, prior_entropy: 0.9835, recall: 0.7596, relative_absolute_error: 0.6854, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4058, root_relative_squared_error: 0.8211, scimark_benchmark: 1250.9709, usercpu_time_millis: 2.841, usercpu_time_millis_testing: 0.106, usercpu_time_millis_training: 2.735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8261, f_measure: 0.7537, kappa: 0.4932, kb_relative_information_score: 15373.4562, mean_absolute_error: 0.3372, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7609, predictive_accuracy: 0.7591, prior_entropy: 0.9835, recall: 0.7591, relative_absolute_error: 0.6901, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8217, scimark_benchmark: 1273.3064, usercpu_time_millis: 2.253, usercpu_time_millis_testing: 0.106, usercpu_time_millis_training: 2.147,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8137, f_measure: 0.742, kappa: 0.4706, kb_relative_information_score: 10857.0393, mean_absolute_error: 0.3881, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7596, predictive_accuracy: 0.7515, prior_entropy: 0.9835, recall: 0.7515, relative_absolute_error: 0.7942, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4226, root_relative_squared_error: 0.855, scimark_benchmark: 1249.708, usercpu_time_millis: 1.756, usercpu_time_millis_testing: 0.11, usercpu_time_millis_training: 1.646,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8208, f_measure: 0.7502, kappa: 0.4864, kb_relative_information_score: 13095.8073, mean_absolute_error: 0.3637, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7621, predictive_accuracy: 0.7574, prior_entropy: 0.9835, recall: 0.7574, relative_absolute_error: 0.7444, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4124, root_relative_squared_error: 0.8343, scimark_benchmark: 1255.3651, usercpu_time_millis: 1.764, usercpu_time_millis_testing: 0.098, usercpu_time_millis_training: 1.666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.753, kappa: 0.4918, kb_relative_information_score: 14723.8548, mean_absolute_error: 0.345, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7617, predictive_accuracy: 0.759, prior_entropy: 0.9835, recall: 0.759, relative_absolute_error: 0.7061, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4075, root_relative_squared_error: 0.8244, scimark_benchmark: 1240.8689, usercpu_time_millis: 1.8, usercpu_time_millis_testing: 0.107, usercpu_time_millis_training: 1.693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1259.8993, usercpu_time_millis: 1.21, usercpu_time_millis_testing: 0.262, usercpu_time_millis_training: 0.948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8265, f_measure: 0.7541, kappa: 0.494, kb_relative_information_score: 15438.2984, mean_absolute_error: 0.3364, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7611, predictive_accuracy: 0.7594, prior_entropy: 0.9835, recall: 0.7594, relative_absolute_error: 0.6885, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.406, root_relative_squared_error: 0.8214, scimark_benchmark: 1265.8384, usercpu_time_millis: 2.636, usercpu_time_millis_testing: 0.105, usercpu_time_millis_training: 2.531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1243.6416, usercpu_time_millis: 1.476, usercpu_time_millis_testing: 0.338, usercpu_time_millis_training: 1.138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1260.6205, usercpu_time_millis: 1.512, usercpu_time_millis_testing: 0.308, usercpu_time_millis_training: 1.204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1263.4558, usercpu_time_millis: 1.39, usercpu_time_millis_testing: 0.315, usercpu_time_millis_training: 1.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1263.0206, usercpu_time_millis: 1.394, usercpu_time_millis_testing: 0.315, usercpu_time_millis_training: 1.079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6684, f_measure: 0.5355, kappa: 0.1766, kb_relative_information_score: 5314.2416, mean_absolute_error: 0.433, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.6427, predictive_accuracy: 0.5587, prior_entropy: 0.9835, recall: 0.5587, relative_absolute_error: 0.8861, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4648, root_relative_squared_error: 0.9404, scimark_benchmark: 1263.3561, usercpu_time_millis: 1023.248, usercpu_time_millis_testing: 0.137, usercpu_time_millis_training: 1023.111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7021, f_measure: 0.5822, kappa: 0.2244, kb_relative_information_score: 7027.9848, mean_absolute_error: 0.4165, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.6522, predictive_accuracy: 0.5921, prior_entropy: 0.9835, recall: 0.5921, relative_absolute_error: 0.8524, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4557, root_relative_squared_error: 0.922, scimark_benchmark: 1246.3204, usercpu_time_millis: 848.542, usercpu_time_millis_testing: 0.118, usercpu_time_millis_training: 848.424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.762, f_measure: 0.6613, kappa: 0.3278, kb_relative_information_score: 10475.7223, mean_absolute_error: 0.3835, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.6802, predictive_accuracy: 0.6599, prior_entropy: 0.9835, recall: 0.6599, relative_absolute_error: 0.7849, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4361, root_relative_squared_error: 0.8824, scimark_benchmark: 1262.151, usercpu_time_millis: 490.288, usercpu_time_millis_testing: 0.107, usercpu_time_millis_training: 490.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8017, f_measure: 0.6882, kappa: 0.3785, kb_relative_information_score: 5773.9731, mean_absolute_error: 0.44, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7655, predictive_accuracy: 0.7185, prior_entropy: 0.9835, recall: 0.7185, relative_absolute_error: 0.9004, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4527, root_relative_squared_error: 0.916, scimark_benchmark: 1276.766, usercpu_time_millis: 2.127, usercpu_time_millis_testing: 0.104, usercpu_time_millis_training: 2.023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1248.7661, usercpu_time_millis: 1.994, usercpu_time_millis_testing: 0.369, usercpu_time_millis_training: 1.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1277.147, usercpu_time_millis: 1.56, usercpu_time_millis_testing: 0.283, usercpu_time_millis_training: 1.277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1246.4155, usercpu_time_millis: 1.754, usercpu_time_millis_testing: 0.314, usercpu_time_millis_training: 1.44,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8258, f_measure: 0.7539, kappa: 0.4935, kb_relative_information_score: 15381.3971, mean_absolute_error: 0.3371, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7611, predictive_accuracy: 0.7593, prior_entropy: 0.9835, recall: 0.7593, relative_absolute_error: 0.69, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8218, scimark_benchmark: 1265.7818, usercpu_time_millis: 2.376, usercpu_time_millis_testing: 0.1, usercpu_time_millis_training: 2.276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1226.6498, usercpu_time_millis: 1.683, usercpu_time_millis_testing: 0.399, usercpu_time_millis_training: 1.284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1247.4589, usercpu_time_millis: 1.825, usercpu_time_millis_testing: 0.415, usercpu_time_millis_training: 1.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1260.8124, usercpu_time_millis: 1.616, usercpu_time_millis_testing: 0.302, usercpu_time_millis_training: 1.314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1247.0327, usercpu_time_millis: 1.599, usercpu_time_millis_testing: 0.273, usercpu_time_millis_training: 1.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1248.3507, usercpu_time_millis: 1.665, usercpu_time_millis_testing: 0.299, usercpu_time_millis_training: 1.366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7759, f_measure: 0.4257, kappa: 0.0064, kb_relative_information_score: 550.0587, mean_absolute_error: 0.4845, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7565, predictive_accuracy: 0.5778, prior_entropy: 0.9835, recall: 0.5778, relative_absolute_error: 0.9917, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4903, root_relative_squared_error: 0.9919, scimark_benchmark: 1259.5691, usercpu_time_millis: 2.179, usercpu_time_millis_testing: 0.168, usercpu_time_millis_training: 2.011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.827, f_measure: 0.7541, kappa: 0.4939, kb_relative_information_score: 15475.1353, mean_absolute_error: 0.3359, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7608, predictive_accuracy: 0.7593, prior_entropy: 0.9835, recall: 0.7593, relative_absolute_error: 0.6875, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4059, root_relative_squared_error: 0.8211, scimark_benchmark: 1259.7306, usercpu_time_millis: 3.06, usercpu_time_millis_testing: 0.136, usercpu_time_millis_training: 2.924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1269.1509, usercpu_time_millis: 1.68, usercpu_time_millis_testing: 0.327, usercpu_time_millis_training: 1.353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8269, f_measure: 0.7536, kappa: 0.493, kb_relative_information_score: 15346.4187, mean_absolute_error: 0.3374, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7606, predictive_accuracy: 0.7589, prior_entropy: 0.9835, recall: 0.7589, relative_absolute_error: 0.6906, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.406, root_relative_squared_error: 0.8215, scimark_benchmark: 1276.2083, usercpu_time_millis: 2.189, usercpu_time_millis_testing: 0.103, usercpu_time_millis_training: 2.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8205, f_measure: 0.7517, kappa: 0.4895, kb_relative_information_score: 13594.6857, mean_absolute_error: 0.3581, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7628, predictive_accuracy: 0.7586, prior_entropy: 0.9835, recall: 0.7586, relative_absolute_error: 0.7329, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4109, root_relative_squared_error: 0.8313, scimark_benchmark: 1274.3353, usercpu_time_millis: 3.038, usercpu_time_millis_testing: 0.171, usercpu_time_millis_training: 2.867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8058, f_measure: 0.7431, kappa: 0.4731, kb_relative_information_score: 10653.4056, mean_absolute_error: 0.3904, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7614, predictive_accuracy: 0.7528, prior_entropy: 0.9835, recall: 0.7528, relative_absolute_error: 0.799, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4246, root_relative_squared_error: 0.859, scimark_benchmark: 1271.2901, usercpu_time_millis: 2.802, usercpu_time_millis_testing: 0.141, usercpu_time_millis_training: 2.661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1245.1606, usercpu_time_millis: 2.43, usercpu_time_millis_testing: 0.428, usercpu_time_millis_training: 2.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8267, f_measure: 0.7534, kappa: 0.4925, kb_relative_information_score: 15176.0858, mean_absolute_error: 0.3394, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7606, predictive_accuracy: 0.7588, prior_entropy: 0.9835, recall: 0.7588, relative_absolute_error: 0.6947, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4063, root_relative_squared_error: 0.822, scimark_benchmark: 1255.8677, usercpu_time_millis: 2.754, usercpu_time_millis_testing: 0.123, usercpu_time_millis_training: 2.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1246.3275, usercpu_time_millis: 1.606, usercpu_time_millis_testing: 0.34, usercpu_time_millis_training: 1.266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1270.2577, usercpu_time_millis: 2.853, usercpu_time_millis_testing: 0.722, usercpu_time_millis_training: 2.131,

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

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs