Task
Supervised Classification on bank-marketing

Supervised Classification on bank-marketing

Task 145833 Supervised Classification bank-marketing 22645 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8984, f_measure: 0.8284, kappa: 0.0013, kb_relative_information_score: 2257.4547, mean_absolute_error: 0.158, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8968, predictive_accuracy: 0.8831, prior_entropy: 0.5207, recall: 0.8831, relative_absolute_error: 0.7645, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2727, root_relative_squared_error: 0.8485, scimark_benchmark: 1737.2609, usercpu_time_millis: 93.389, usercpu_time_millis_testing: 7.341, usercpu_time_millis_training: 86.048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8792, f_measure: 0.8592, kappa: 0.2078, kb_relative_information_score: 4557.2752, mean_absolute_error: 0.1539, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8655, predictive_accuracy: 0.8899, prior_entropy: 0.5207, recall: 0.8899, relative_absolute_error: 0.7447, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2754, root_relative_squared_error: 0.857, scimark_benchmark: 1853.9121, usercpu_time_millis: 92.476, usercpu_time_millis_testing: 1.71, usercpu_time_millis_training: 90.766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8876, f_measure: 0.8282, kb_relative_information_score: 1959.2919, mean_absolute_error: 0.1757, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.7797, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 0.8505, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2839, root_relative_squared_error: 0.8832, scimark_benchmark: 1746.4158, usercpu_time_millis: 86.974, usercpu_time_millis_testing: 5.528, usercpu_time_millis_training: 81.446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8832, f_measure: 0.8282, kb_relative_information_score: 3335.9515, mean_absolute_error: 0.1748, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.7797, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 0.846, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2843, root_relative_squared_error: 0.8845, scimark_benchmark: 1852.9259, usercpu_time_millis: 97.591, usercpu_time_millis_testing: 9.501, usercpu_time_millis_training: 88.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.8282, kb_relative_information_score: -9.2064, mean_absolute_error: 0.2066, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.7797, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3214, root_relative_squared_error: 1, scimark_benchmark: 1742.2552, usercpu_time_millis: 123.512, usercpu_time_millis_testing: 8.155, usercpu_time_millis_training: 115.357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9247, f_measure: 0.9, kappa: 0.4912, kb_relative_information_score: 9619.4193, mean_absolute_error: 0.1272, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8971, predictive_accuracy: 0.9055, prior_entropy: 0.5207, recall: 0.9055, relative_absolute_error: 0.6155, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2545, root_relative_squared_error: 0.7919, scimark_benchmark: 1854.4951, usercpu_time_millis: 91.597, usercpu_time_millis_testing: 1.466, usercpu_time_millis_training: 90.131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8282, kb_relative_information_score: -11.3772, mean_absolute_error: 0.2066, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.7797, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3214, root_relative_squared_error: 1, scimark_benchmark: 1844.1156, usercpu_time_millis: 81.75, usercpu_time_millis_testing: 9.086, usercpu_time_millis_training: 72.664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8982, f_measure: 0.83, kappa: 0.0113, kb_relative_information_score: 2645.4824, mean_absolute_error: 0.1562, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8778, predictive_accuracy: 0.8836, prior_entropy: 0.5207, recall: 0.8836, relative_absolute_error: 0.7562, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.272, root_relative_squared_error: 0.8464, scimark_benchmark: 1839.0801, usercpu_time_millis: 105.217, usercpu_time_millis_testing: 7.767, usercpu_time_millis_training: 97.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8999, f_measure: 0.8315, kappa: 0.0209, kb_relative_information_score: 2377.6878, mean_absolute_error: 0.177, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8783, predictive_accuracy: 0.8842, prior_entropy: 0.5207, recall: 0.8842, relative_absolute_error: 0.8566, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2839, root_relative_squared_error: 0.8834, scimark_benchmark: 1856.0123, usercpu_time_millis: 84.474, usercpu_time_millis_testing: 10.612, usercpu_time_millis_training: 73.862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9126, f_measure: 0.8884, kappa: 0.4141, kb_relative_information_score: 6107.6139, mean_absolute_error: 0.1416, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8852, predictive_accuracy: 0.8992, prior_entropy: 0.5207, recall: 0.8992, relative_absolute_error: 0.6852, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2632, root_relative_squared_error: 0.8189, scimark_benchmark: 1849.8663, usercpu_time_millis: 119.936, usercpu_time_millis_testing: 3.822, usercpu_time_millis_training: 116.114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8096, f_measure: 0.8282, kb_relative_information_score: 2113.717, mean_absolute_error: 0.1792, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.7797, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 0.8676, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2951, root_relative_squared_error: 0.9181, scimark_benchmark: 1841.059, usercpu_time_millis: 91.633, usercpu_time_millis_testing: 6.418, usercpu_time_millis_training: 85.215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9015, f_measure: 0.8366, kappa: 0.0532, kb_relative_information_score: 2888.1762, mean_absolute_error: 0.1752, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8785, predictive_accuracy: 0.8859, prior_entropy: 0.5207, recall: 0.8859, relative_absolute_error: 0.8478, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2822, root_relative_squared_error: 0.8779, scimark_benchmark: 1738.7316, usercpu_time_millis: 80.962, usercpu_time_millis_testing: 6.12, usercpu_time_millis_training: 74.842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9209, f_measure: 0.8905, kappa: 0.4254, kb_relative_information_score: 7005.2129, mean_absolute_error: 0.1384, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8876, predictive_accuracy: 0.901, prior_entropy: 0.5207, recall: 0.901, relative_absolute_error: 0.6698, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2584, root_relative_squared_error: 0.804, scimark_benchmark: 1848.916, usercpu_time_millis: 80.186, usercpu_time_millis_testing: 2.341, usercpu_time_millis_training: 77.845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8827, f_measure: 0.8282, kb_relative_information_score: 735.2745, mean_absolute_error: 0.1622, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.7797, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 0.7853, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2784, root_relative_squared_error: 0.8662, scimark_benchmark: 1776.8303, usercpu_time_millis: 83.002, usercpu_time_millis_testing: 5.058, usercpu_time_millis_training: 77.944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8966, f_measure: 0.8286, kappa: 0.0027, kb_relative_information_score: 1856.4177, mean_absolute_error: 0.1784, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8968, predictive_accuracy: 0.8832, prior_entropy: 0.5207, recall: 0.8832, relative_absolute_error: 0.8633, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2856, root_relative_squared_error: 0.8887, scimark_benchmark: 1829.4983, usercpu_time_millis: 113.415, usercpu_time_millis_testing: 6.898, usercpu_time_millis_training: 106.517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8869, f_measure: 0.8282, kb_relative_information_score: 735.0348, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.7797, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 0.8001, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2785, root_relative_squared_error: 0.8664, scimark_benchmark: 1768.214, usercpu_time_millis: 122.826, usercpu_time_millis_testing: 6.41, usercpu_time_millis_training: 116.416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8282, kb_relative_information_score: -19.5998, mean_absolute_error: 0.2066, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.7797, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3214, root_relative_squared_error: 1, scimark_benchmark: 1855.4813, usercpu_time_millis: 97.708, usercpu_time_millis_testing: 6.696, usercpu_time_millis_training: 91.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9178, f_measure: 0.8774, kappa: 0.3214, kb_relative_information_score: 5030.2872, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8849, predictive_accuracy: 0.8999, prior_entropy: 0.5207, recall: 0.8999, relative_absolute_error: 0.7152, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2625, root_relative_squared_error: 0.8166, scimark_benchmark: 1747.1015, usercpu_time_millis: 86.283, usercpu_time_millis_testing: 3.313, usercpu_time_millis_training: 82.97,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8673, f_measure: 0.8282, kb_relative_information_score: -2103.4649, mean_absolute_error: 0.1905, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.7797, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3002, root_relative_squared_error: 0.934, scimark_benchmark: 1741.5466, usercpu_time_millis: 95.34, usercpu_time_millis_testing: 12.16, usercpu_time_millis_training: 83.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8282, kb_relative_information_score: 1.3369, mean_absolute_error: 0.2066, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.7797, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3214, root_relative_squared_error: 1, scimark_benchmark: 1858.2246, usercpu_time_millis: 104.124, usercpu_time_millis_testing: 9.941, usercpu_time_millis_training: 94.183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9244, f_measure: 0.8725, kappa: 0.2871, kb_relative_information_score: 6546.4181, mean_absolute_error: 0.1473, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8843, predictive_accuracy: 0.8985, prior_entropy: 0.5207, recall: 0.8985, relative_absolute_error: 0.7132, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2587, root_relative_squared_error: 0.8049, scimark_benchmark: 1729.3645, usercpu_time_millis: 74.077, usercpu_time_millis_testing: 4.22, usercpu_time_millis_training: 69.857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9281, f_measure: 0.8989, kappa: 0.4779, kb_relative_information_score: 8569.4731, mean_absolute_error: 0.1327, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8962, predictive_accuracy: 0.9064, prior_entropy: 0.5207, recall: 0.9064, relative_absolute_error: 0.6423, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.253, root_relative_squared_error: 0.7872, scimark_benchmark: 1722.3731, usercpu_time_millis: 73.067, usercpu_time_millis_testing: 2.437, usercpu_time_millis_training: 70.63,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9, f_measure: 0.8282, kb_relative_information_score: 3784.1475, mean_absolute_error: 0.1593, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.7797, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 0.7712, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2731, root_relative_squared_error: 0.8496, scimark_benchmark: 1732.4995, usercpu_time_millis: 88.844, usercpu_time_millis_testing: 3.343, usercpu_time_millis_training: 85.501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9273, f_measure: 0.9004, kappa: 0.4887, kb_relative_information_score: 8395.8943, mean_absolute_error: 0.1329, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8976, predictive_accuracy: 0.907, prior_entropy: 0.5207, recall: 0.907, relative_absolute_error: 0.6432, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2528, root_relative_squared_error: 0.7867, scimark_benchmark: 1728.4686, usercpu_time_millis: 86.448, usercpu_time_millis_testing: 3.571, usercpu_time_millis_training: 82.877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, f_measure: 0.8953, kappa: 0.4523, kb_relative_information_score: 7516.16, mean_absolute_error: 0.1363, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8928, predictive_accuracy: 0.9048, prior_entropy: 0.5207, recall: 0.9048, relative_absolute_error: 0.6599, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2562, root_relative_squared_error: 0.7971, scimark_benchmark: 1854.1098, usercpu_time_millis: 88.598, usercpu_time_millis_testing: 3.08, usercpu_time_millis_training: 85.518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9212, f_measure: 0.8941, kappa: 0.4458, kb_relative_information_score: 6961.5654, mean_absolute_error: 0.1387, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8917, predictive_accuracy: 0.9039, prior_entropy: 0.5207, recall: 0.9039, relative_absolute_error: 0.6711, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2576, root_relative_squared_error: 0.8016, scimark_benchmark: 1742.7909, usercpu_time_millis: 98.722, usercpu_time_millis_testing: 7.807, usercpu_time_millis_training: 90.915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.8282, kb_relative_information_score: -16.7443, mean_absolute_error: 0.2066, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.7797, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3214, root_relative_squared_error: 1, scimark_benchmark: 1733.0105, usercpu_time_millis: 74.08, usercpu_time_millis_testing: 4.649, usercpu_time_millis_training: 69.431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9259, f_measure: 0.8976, kappa: 0.47, kb_relative_information_score: 7674.8213, mean_absolute_error: 0.136, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8949, predictive_accuracy: 0.9056, prior_entropy: 0.5207, recall: 0.9056, relative_absolute_error: 0.6583, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2545, root_relative_squared_error: 0.7917, scimark_benchmark: 1818.9591, usercpu_time_millis: 73.305, usercpu_time_millis_testing: 4.642, usercpu_time_millis_training: 68.663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9224, f_measure: 0.8959, kappa: 0.4595, kb_relative_information_score: 7946.7523, mean_absolute_error: 0.1343, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.893, predictive_accuracy: 0.9043, prior_entropy: 0.5207, recall: 0.9043, relative_absolute_error: 0.65, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2564, root_relative_squared_error: 0.7978, scimark_benchmark: 1737.7597, usercpu_time_millis: 61.259, usercpu_time_millis_testing: 0.889, usercpu_time_millis_training: 60.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8981, f_measure: 0.8582, kappa: 0.2006, kb_relative_information_score: 4426.3329, mean_absolute_error: 0.1548, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8652, predictive_accuracy: 0.8898, prior_entropy: 0.5207, recall: 0.8898, relative_absolute_error: 0.7495, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2727, root_relative_squared_error: 0.8485, scimark_benchmark: 1733.014, usercpu_time_millis: 91.734, usercpu_time_millis_testing: 1.811, usercpu_time_millis_training: 89.923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8282, kb_relative_information_score: 1.8851, mean_absolute_error: 0.2066, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.7797, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3214, root_relative_squared_error: 1, scimark_benchmark: 1736.5552, usercpu_time_millis: 75.015, usercpu_time_millis_testing: 4.982, usercpu_time_millis_training: 70.033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8282, kb_relative_information_score: -7.1411, mean_absolute_error: 0.2066, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.7797, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3214, root_relative_squared_error: 1, scimark_benchmark: 1737.2609, usercpu_time_millis: 55.813, usercpu_time_millis_testing: 5.414, usercpu_time_millis_training: 50.399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8797, f_measure: 0.8282, kb_relative_information_score: 2478.8331, mean_absolute_error: 0.181, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.7797, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 0.8762, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2892, root_relative_squared_error: 0.8997, scimark_benchmark: 1735.0748, usercpu_time_millis: 55.794, usercpu_time_millis_testing: 4.859, usercpu_time_millis_training: 50.935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8998, f_measure: 0.8282, kb_relative_information_score: 2011.7044, mean_absolute_error: 0.1776, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.7797, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 0.8594, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2846, root_relative_squared_error: 0.8856, scimark_benchmark: 1783.5768, usercpu_time_millis: 95.525, usercpu_time_millis_testing: 9.728, usercpu_time_millis_training: 85.797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9058, f_measure: 0.8297, kappa: 0.01, kb_relative_information_score: 2368.5097, mean_absolute_error: 0.1663, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8757, predictive_accuracy: 0.8835, prior_entropy: 0.5207, recall: 0.8835, relative_absolute_error: 0.8051, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2748, root_relative_squared_error: 0.8551, scimark_benchmark: 1735.1328, usercpu_time_millis: 71.008, usercpu_time_millis_testing: 5.836, usercpu_time_millis_training: 65.172,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8878, f_measure: 0.8282, kb_relative_information_score: -52.3725, mean_absolute_error: 0.1722, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.7797, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 0.8334, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2821, root_relative_squared_error: 0.8778, scimark_benchmark: 1745.0343, usercpu_time_millis: 10.436, usercpu_time_millis_testing: 0.426, usercpu_time_millis_training: 10.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9251, f_measure: 0.9011, kappa: 0.4966, kb_relative_information_score: 9037.3379, mean_absolute_error: 0.1283, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8983, predictive_accuracy: 0.9066, prior_entropy: 0.5207, recall: 0.9066, relative_absolute_error: 0.6209, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2533, root_relative_squared_error: 0.7881, scimark_benchmark: 1719.5892, usercpu_time_millis: 51.566, usercpu_time_millis_testing: 1.276, usercpu_time_millis_training: 50.29,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8282, kb_relative_information_score: -28.786, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.7797, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3214, root_relative_squared_error: 1, scimark_benchmark: 787.5063, usercpu_time_millis: 15.505, usercpu_time_millis_testing: 0.708, usercpu_time_millis_training: 14.797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8863, f_measure: 0.8282, kb_relative_information_score: -90.1212, mean_absolute_error: 0.1868, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.7797, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 0.9043, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2951, root_relative_squared_error: 0.9182, scimark_benchmark: 1953.4165, usercpu_time_millis: 33.896, usercpu_time_millis_testing: 2.031, usercpu_time_millis_training: 31.865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8282, kb_relative_information_score: -7.7639, mean_absolute_error: 0.2066, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.7797, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3214, root_relative_squared_error: 1, scimark_benchmark: 1715.3036, usercpu_time_millis: 32.297, usercpu_time_millis_testing: 5.451, usercpu_time_millis_training: 26.846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8931, f_measure: 0.8282, kb_relative_information_score: 3676.9842, mean_absolute_error: 0.167, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.7797, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 0.8081, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.277, root_relative_squared_error: 0.8619, scimark_benchmark: 1717.4916, usercpu_time_millis: 48.02, usercpu_time_millis_testing: 4.439, usercpu_time_millis_training: 43.581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.8282, kb_relative_information_score: -14.7285, mean_absolute_error: 0.2066, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.7797, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3214, root_relative_squared_error: 1, scimark_benchmark: 1731.6389, usercpu_time_millis: 11.372, usercpu_time_millis_testing: 1.413, usercpu_time_millis_training: 9.959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8876, f_measure: 0.8431, kappa: 0.0969, kb_relative_information_score: 4262.7502, mean_absolute_error: 0.1611, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.865, predictive_accuracy: 0.8869, prior_entropy: 0.5207, recall: 0.8869, relative_absolute_error: 0.7796, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2756, root_relative_squared_error: 0.8576, scimark_benchmark: 1817.1684, usercpu_time_millis: 16.537, usercpu_time_millis_testing: 0.489, usercpu_time_millis_training: 16.048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8892, f_measure: 0.8593, kappa: 0.2085, kb_relative_information_score: 4544.7416, mean_absolute_error: 0.1521, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8656, predictive_accuracy: 0.89, prior_entropy: 0.5207, recall: 0.89, relative_absolute_error: 0.7363, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2737, root_relative_squared_error: 0.8516, scimark_benchmark: 1733.7613, usercpu_time_millis: 34.566, usercpu_time_millis_testing: 0.563, usercpu_time_millis_training: 34.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8936, f_measure: 0.8371, kappa: 0.0565, kb_relative_information_score: 2563.8746, mean_absolute_error: 0.1568, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8756, predictive_accuracy: 0.886, prior_entropy: 0.5207, recall: 0.886, relative_absolute_error: 0.759, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2736, root_relative_squared_error: 0.8514, scimark_benchmark: 1729.2113, usercpu_time_millis: 8.501, usercpu_time_millis_testing: 0.247, usercpu_time_millis_training: 8.254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8282, kb_relative_information_score: -8.8703, mean_absolute_error: 0.2066, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.7797, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3214, root_relative_squared_error: 1, scimark_benchmark: 1714.6802, usercpu_time_millis: 22.288, usercpu_time_millis_testing: 3.23, usercpu_time_millis_training: 19.058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8621, f_measure: 0.8282, kb_relative_information_score: -2505.3853, mean_absolute_error: 0.1914, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.7797, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 0.9262, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3013, root_relative_squared_error: 0.9376, scimark_benchmark: 1727.2167, usercpu_time_millis: 42.152, usercpu_time_millis_testing: 4.052, usercpu_time_millis_training: 38.1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.8282, kb_relative_information_score: -6.7086, mean_absolute_error: 0.2066, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.7797, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3214, root_relative_squared_error: 1, scimark_benchmark: 1738.1879, usercpu_time_millis: 6.937, usercpu_time_millis_testing: 0.336, usercpu_time_millis_training: 6.601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.878, kappa: 0.3276, kb_relative_information_score: 6303.1261, mean_absolute_error: 0.1475, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8835, predictive_accuracy: 0.8995, prior_entropy: 0.5207, recall: 0.8995, relative_absolute_error: 0.7141, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2617, root_relative_squared_error: 0.8141, scimark_benchmark: 1854.4951, usercpu_time_millis: 5.796, usercpu_time_millis_testing: 0.297, usercpu_time_millis_training: 5.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.8282, kb_relative_information_score: -4.2214, mean_absolute_error: 0.2066, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.7797, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3214, root_relative_squared_error: 1, scimark_benchmark: 1855.4813, usercpu_time_millis: 16.024, usercpu_time_millis_testing: 1.636, usercpu_time_millis_training: 14.388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8653, f_measure: 0.8282, kb_relative_information_score: -1453.9227, mean_absolute_error: 0.1878, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.7797, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 0.9092, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2974, root_relative_squared_error: 0.9252, scimark_benchmark: 1737.4205, usercpu_time_millis: 3.197, usercpu_time_millis_testing: 0.262, usercpu_time_millis_training: 2.935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8652, f_measure: 0.8282, kb_relative_information_score: -2501.113, mean_absolute_error: 0.1723, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.7797, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 0.8337, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2869, root_relative_squared_error: 0.8927, scimark_benchmark: 1730.5329, usercpu_time_millis: 8.45, usercpu_time_millis_testing: 0.351, usercpu_time_millis_training: 8.099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9009, f_measure: 0.8282, kb_relative_information_score: 2752.4093, mean_absolute_error: 0.1651, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.7797, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 0.7989, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2751, root_relative_squared_error: 0.8559, scimark_benchmark: 1902.5198, usercpu_time_millis: 21.146, usercpu_time_millis_testing: 1.018, usercpu_time_millis_training: 20.128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8282, kb_relative_information_score: -26.9517, mean_absolute_error: 0.2066, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.7797, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3214, root_relative_squared_error: 1, scimark_benchmark: 1853.3841, usercpu_time_millis: 8.733, usercpu_time_millis_testing: 0.66, usercpu_time_millis_training: 8.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8282, kb_relative_information_score: -119.1115, mean_absolute_error: 0.2066, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.7797, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3214, root_relative_squared_error: 1, scimark_benchmark: 1715.1121, usercpu_time_millis: 8.77, usercpu_time_millis_testing: 0.292, usercpu_time_millis_training: 8.478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.884, f_measure: 0.8282, kb_relative_information_score: 63.4758, mean_absolute_error: 0.1865, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.7797, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 0.9029, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.295, root_relative_squared_error: 0.9177, scimark_benchmark: 1833.4422, usercpu_time_millis: 6.959, usercpu_time_millis_testing: 0.329, usercpu_time_millis_training: 6.63,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.8884, kappa: 0.4025, kb_relative_information_score: 6350.4863, mean_absolute_error: 0.1401, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8878, predictive_accuracy: 0.9024, prior_entropy: 0.5207, recall: 0.9024, relative_absolute_error: 0.678, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2589, root_relative_squared_error: 0.8056, scimark_benchmark: 1901.3592, usercpu_time_millis: 11.152, usercpu_time_millis_testing: 0.347, usercpu_time_millis_training: 10.805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.8282, kb_relative_information_score: -146.1281, mean_absolute_error: 0.2066, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.7797, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3214, root_relative_squared_error: 1, scimark_benchmark: 1858.6076, usercpu_time_millis: 5.283, usercpu_time_millis_testing: 0.138, usercpu_time_millis_training: 5.145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.914, f_measure: 0.8876, kappa: 0.4074, kb_relative_information_score: 5964.2771, mean_absolute_error: 0.1427, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8846, predictive_accuracy: 0.8991, prior_entropy: 0.5207, recall: 0.8991, relative_absolute_error: 0.6909, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2631, root_relative_squared_error: 0.8187, scimark_benchmark: 1683.5727, usercpu_time_millis: 1473.24, usercpu_time_millis_testing: 37.279, usercpu_time_millis_training: 1435.961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8906, f_measure: 0.8596, kappa: 0.2107, kb_relative_information_score: 4457.6775, mean_absolute_error: 0.1509, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.866, predictive_accuracy: 0.8902, prior_entropy: 0.5207, recall: 0.8902, relative_absolute_error: 0.7303, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2733, root_relative_squared_error: 0.8503, scimark_benchmark: 1703.8652, usercpu_time_millis: 795.734, usercpu_time_millis_testing: 15.31, usercpu_time_millis_training: 780.424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9267, f_measure: 0.8949, kappa: 0.4498, kb_relative_information_score: 7924.4744, mean_absolute_error: 0.1346, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8926, predictive_accuracy: 0.9047, prior_entropy: 0.5207, recall: 0.9047, relative_absolute_error: 0.6513, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2547, root_relative_squared_error: 0.7925, scimark_benchmark: 1724.4096, usercpu_time_millis: 764.688, usercpu_time_millis_testing: 19.62, usercpu_time_millis_training: 745.068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8923, f_measure: 0.8364, kappa: 0.0522, kb_relative_information_score: 3330.1094, mean_absolute_error: 0.1562, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8727, predictive_accuracy: 0.8856, prior_entropy: 0.5207, recall: 0.8856, relative_absolute_error: 0.7559, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2742, root_relative_squared_error: 0.8531, scimark_benchmark: 1709.5279, usercpu_time_millis: 708.334, usercpu_time_millis_testing: 19.822, usercpu_time_millis_training: 688.512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8855, f_measure: 0.8607, kappa: 0.2227, kb_relative_information_score: 2435.816, mean_absolute_error: 0.1536, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8622, predictive_accuracy: 0.8885, prior_entropy: 0.5207, recall: 0.8885, relative_absolute_error: 0.7435, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2757, root_relative_squared_error: 0.8578, scimark_benchmark: 1895.9061, usercpu_time_millis: 695.746, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 680.121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9191, f_measure: 0.8653, kappa: 0.2384, kb_relative_information_score: 5295.823, mean_absolute_error: 0.1492, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.884, predictive_accuracy: 0.8963, prior_entropy: 0.5207, recall: 0.8963, relative_absolute_error: 0.7221, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2624, root_relative_squared_error: 0.8163, scimark_benchmark: 1731.0782, usercpu_time_millis: 603.906, usercpu_time_millis_testing: 30.296, usercpu_time_millis_training: 573.61,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.868, f_measure: 0.8282, kb_relative_information_score: -1633.2017, mean_absolute_error: 0.1662, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.7797, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 0.8043, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2845, root_relative_squared_error: 0.8853, scimark_benchmark: 1707.3845, usercpu_time_millis: 625.856, usercpu_time_millis_testing: 21.705, usercpu_time_millis_training: 604.151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9277, f_measure: 0.8982, kappa: 0.4718, kb_relative_information_score: 8553.784, mean_absolute_error: 0.1321, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8956, predictive_accuracy: 0.9063, prior_entropy: 0.5207, recall: 0.9063, relative_absolute_error: 0.6396, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2538, root_relative_squared_error: 0.7896, scimark_benchmark: 1736.4563, usercpu_time_millis: 618.12, usercpu_time_millis_testing: 15.316, usercpu_time_millis_training: 602.804,

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