OpenML
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: 0.9159, f_measure: 0.8635, kappa: 0.226, kb_relative_information_score: 4631.8636, mean_absolute_error: 0.153, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8852, predictive_accuracy: 0.896, prior_entropy: 0.5207, recall: 0.896, relative_absolute_error: 0.7405, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2652, root_relative_squared_error: 0.8251, scimark_benchmark: 1725.3999, usercpu_time_millis: 407.016, usercpu_time_millis_testing: 20.631, usercpu_time_millis_training: 386.385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9144, f_measure: 0.8877, kappa: 0.4082, kb_relative_information_score: 6104.5747, mean_absolute_error: 0.1423, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8847, predictive_accuracy: 0.8991, prior_entropy: 0.5207, recall: 0.8991, relative_absolute_error: 0.6887, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2629, root_relative_squared_error: 0.8179, scimark_benchmark: 1729.7915, usercpu_time_millis: 333.317, usercpu_time_millis_testing: 16.156, usercpu_time_millis_training: 317.161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9295, f_measure: 0.8989, kappa: 0.4779, kb_relative_information_score: 8900.1746, mean_absolute_error: 0.1317, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8961, predictive_accuracy: 0.9063, prior_entropy: 0.5207, recall: 0.9063, relative_absolute_error: 0.6375, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2524, root_relative_squared_error: 0.7854, scimark_benchmark: 1726.6452, usercpu_time_millis: 251.927, usercpu_time_millis_testing: 12.572, usercpu_time_millis_training: 239.355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9224, f_measure: 0.8669, kappa: 0.2486, kb_relative_information_score: 6013.6986, mean_absolute_error: 0.1498, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8846, predictive_accuracy: 0.8969, prior_entropy: 0.5207, recall: 0.8969, relative_absolute_error: 0.7252, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2608, root_relative_squared_error: 0.8114, scimark_benchmark: 1731.163, usercpu_time_millis: 261.074, usercpu_time_millis_testing: 18.851, usercpu_time_millis_training: 242.223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8756, f_measure: 0.8592, kappa: 0.208, kb_relative_information_score: 4616.9352, mean_absolute_error: 0.1554, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8655, predictive_accuracy: 0.89, prior_entropy: 0.5207, recall: 0.89, relative_absolute_error: 0.7519, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2758, root_relative_squared_error: 0.8581, scimark_benchmark: 1725.3886, usercpu_time_millis: 236.794, usercpu_time_millis_testing: 9.64, usercpu_time_millis_training: 227.154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9024, f_measure: 0.8366, kappa: 0.0535, kb_relative_information_score: 3014.6004, mean_absolute_error: 0.1751, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8787, predictive_accuracy: 0.886, prior_entropy: 0.5207, recall: 0.886, relative_absolute_error: 0.8474, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2822, root_relative_squared_error: 0.8781, scimark_benchmark: 1733.299, usercpu_time_millis: 135.844, usercpu_time_millis_testing: 12.863, usercpu_time_millis_training: 122.981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9146, f_measure: 0.8852, kappa: 0.3792, kb_relative_information_score: 5376.3657, mean_absolute_error: 0.1448, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.886, predictive_accuracy: 0.9014, prior_entropy: 0.5207, recall: 0.9014, relative_absolute_error: 0.7007, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.263, root_relative_squared_error: 0.8182, scimark_benchmark: 1729.7915, usercpu_time_millis: 154.28, usercpu_time_millis_testing: 10.144, usercpu_time_millis_training: 144.136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9306, f_measure: 0.9012, kappa: 0.4972, kb_relative_information_score: 9793.4082, mean_absolute_error: 0.127, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8985, predictive_accuracy: 0.9068, prior_entropy: 0.5207, recall: 0.9068, relative_absolute_error: 0.6145, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2509, root_relative_squared_error: 0.7807, scimark_benchmark: 1727.5077, usercpu_time_millis: 160.928, usercpu_time_millis_testing: 3.433, usercpu_time_millis_training: 157.495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9211, f_measure: 0.8649, kappa: 0.2351, kb_relative_information_score: 5648.5365, mean_absolute_error: 0.1513, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8849, predictive_accuracy: 0.8964, prior_entropy: 0.5207, recall: 0.8964, relative_absolute_error: 0.7325, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.262, root_relative_squared_error: 0.8152, scimark_benchmark: 1723.6152, usercpu_time_millis: 130.021, usercpu_time_millis_testing: 6.994, usercpu_time_millis_training: 123.027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8829, f_measure: 0.8595, kappa: 0.2099, kb_relative_information_score: 4484.9391, mean_absolute_error: 0.1536, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8658, predictive_accuracy: 0.8901, prior_entropy: 0.5207, recall: 0.8901, relative_absolute_error: 0.7436, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2745, root_relative_squared_error: 0.8541, scimark_benchmark: 1733.7613, usercpu_time_millis: 132.314, usercpu_time_millis_testing: 6.382, usercpu_time_millis_training: 125.932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9302, f_measure: 0.9003, kappa: 0.4875, kb_relative_information_score: 9477.8668, mean_absolute_error: 0.1291, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8976, predictive_accuracy: 0.9072, prior_entropy: 0.5207, recall: 0.9072, relative_absolute_error: 0.6246, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2516, root_relative_squared_error: 0.7828, scimark_benchmark: 1730.1903, usercpu_time_millis: 59.629, usercpu_time_millis_testing: 1.066, usercpu_time_millis_training: 58.563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8282, kb_relative_information_score: -27.4667, 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: 1727.9093, usercpu_time_millis: 71.866, usercpu_time_millis_testing: 7.39, usercpu_time_millis_training: 64.476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9206, f_measure: 0.8764, kappa: 0.3147, kb_relative_information_score: 5694.5336, mean_absolute_error: 0.1472, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8843, predictive_accuracy: 0.8995, prior_entropy: 0.5207, recall: 0.8995, relative_absolute_error: 0.7122, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2606, root_relative_squared_error: 0.8108, scimark_benchmark: 1720.4927, usercpu_time_millis: 77.084, usercpu_time_millis_testing: 3.868, usercpu_time_millis_training: 73.216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8987, f_measure: 0.8595, kappa: 0.2101, kb_relative_information_score: 4706.9527, mean_absolute_error: 0.1513, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8658, predictive_accuracy: 0.8901, prior_entropy: 0.5207, recall: 0.8901, relative_absolute_error: 0.7325, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2716, root_relative_squared_error: 0.845, scimark_benchmark: 1729.0458, usercpu_time_millis: 79.411, usercpu_time_millis_testing: 2.089, usercpu_time_millis_training: 77.322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8674, f_measure: 0.8282, kb_relative_information_score: -2532.7962, mean_absolute_error: 0.1695, 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: 0.8204, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.286, root_relative_squared_error: 0.8899, scimark_benchmark: 1728.8693, usercpu_time_millis: 87.334, usercpu_time_millis_testing: 3.996, usercpu_time_millis_training: 83.338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8521, f_measure: 0.8282, kb_relative_information_score: -2127.3204, mean_absolute_error: 0.1932, 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: 0.9351, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3036, root_relative_squared_error: 0.9447, scimark_benchmark: 1729.9064, usercpu_time_millis: 73.693, usercpu_time_millis_testing: 8.609, usercpu_time_millis_training: 65.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8676, f_measure: 0.8282, kb_relative_information_score: -2706.091, mean_absolute_error: 0.1892, 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: 0.9155, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2991, root_relative_squared_error: 0.9306, scimark_benchmark: 1735.1328, usercpu_time_millis: 48.09, usercpu_time_millis_testing: 5.508, usercpu_time_millis_training: 42.582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.8282, kb_relative_information_score: -16.1013, 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: 1728.354, usercpu_time_millis: 37.27, usercpu_time_millis_testing: 4.412, usercpu_time_millis_training: 32.858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.8282, kb_relative_information_score: -43.9332, 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: 1720.4927, usercpu_time_millis: 9.923, usercpu_time_millis_testing: 0.676, usercpu_time_millis_training: 9.247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9151, f_measure: 0.8883, kappa: 0.4131, kb_relative_information_score: 6330.8571, mean_absolute_error: 0.1407, 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: 0.681, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2622, root_relative_squared_error: 0.8159, scimark_benchmark: 1744.87, usercpu_time_millis: 955.24, usercpu_time_millis_testing: 22.332, usercpu_time_millis_training: 932.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9295, f_measure: 0.9004, kappa: 0.4889, kb_relative_information_score: 9461.8836, mean_absolute_error: 0.1288, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8977, predictive_accuracy: 0.907, prior_entropy: 0.5207, recall: 0.907, relative_absolute_error: 0.6232, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.252, root_relative_squared_error: 0.7842, scimark_benchmark: 1750.8713, usercpu_time_millis: 553.506, usercpu_time_millis_testing: 10.792, usercpu_time_millis_training: 542.714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9185, f_measure: 0.8837, kappa: 0.3775, kb_relative_information_score: 6040.7239, mean_absolute_error: 0.1427, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.882, predictive_accuracy: 0.8984, prior_entropy: 0.5207, recall: 0.8984, relative_absolute_error: 0.6907, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2613, root_relative_squared_error: 0.8129, scimark_benchmark: 1748.4931, usercpu_time_millis: 559.198, usercpu_time_millis_testing: 18.35, usercpu_time_millis_training: 540.848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8557, f_measure: 0.8282, kb_relative_information_score: -1740.6702, mean_absolute_error: 0.1702, 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: 0.8236, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2873, root_relative_squared_error: 0.894, scimark_benchmark: 1832.5654, usercpu_time_millis: 389.433, usercpu_time_millis_testing: 13.339, usercpu_time_millis_training: 376.094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9195, f_measure: 0.8852, kappa: 0.3791, kb_relative_information_score: 5971.207, mean_absolute_error: 0.142, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.886, predictive_accuracy: 0.9014, prior_entropy: 0.5207, recall: 0.9014, relative_absolute_error: 0.6872, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2601, root_relative_squared_error: 0.8093, scimark_benchmark: 1796.438, usercpu_time_millis: 313.163, usercpu_time_millis_testing: 16.184, usercpu_time_millis_training: 296.979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9315, f_measure: 0.9018, kappa: 0.5, kb_relative_information_score: 10054.4601, mean_absolute_error: 0.1263, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.899, predictive_accuracy: 0.9072, prior_entropy: 0.5207, recall: 0.9072, relative_absolute_error: 0.6114, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2504, root_relative_squared_error: 0.779, scimark_benchmark: 1754.8927, usercpu_time_millis: 286.51, usercpu_time_millis_testing: 4.128, usercpu_time_millis_training: 282.382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9276, f_measure: 0.8946, kappa: 0.4448, kb_relative_information_score: 7860.8124, mean_absolute_error: 0.1352, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8928, predictive_accuracy: 0.9052, prior_entropy: 0.5207, recall: 0.9052, relative_absolute_error: 0.6542, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2544, root_relative_squared_error: 0.7916, scimark_benchmark: 1753.0931, usercpu_time_millis: 238.748, usercpu_time_millis_testing: 11.476, usercpu_time_millis_training: 227.272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8734, f_measure: 0.8282, kb_relative_information_score: -2482.7851, mean_absolute_error: 0.1692, 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: 0.8191, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2846, root_relative_squared_error: 0.8855, scimark_benchmark: 1749.7378, usercpu_time_millis: 105.389, usercpu_time_millis_testing: 9.219, usercpu_time_millis_training: 96.17,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8744, f_measure: 0.8282, kb_relative_information_score: -2816.206, mean_absolute_error: 0.1823, 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: 0.8824, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2925, root_relative_squared_error: 0.91, scimark_benchmark: 1772.4462, usercpu_time_millis: 92.253, usercpu_time_millis_testing: 7.263, usercpu_time_millis_training: 84.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8691, f_measure: 0.8282, kb_relative_information_score: -2759.3289, mean_absolute_error: 0.1759, 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: 0.8514, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2887, root_relative_squared_error: 0.8983, scimark_benchmark: 1799.806, usercpu_time_millis: 93.482, usercpu_time_millis_testing: 6.737, usercpu_time_millis_training: 86.745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8972, f_measure: 0.8282, kb_relative_information_score: 3349.1873, mean_absolute_error: 0.165, 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: 0.7986, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2756, root_relative_squared_error: 0.8575, scimark_benchmark: 2081.1078, usercpu_time_millis: 93.823, usercpu_time_millis_testing: 9.686, usercpu_time_millis_training: 84.137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8622, f_measure: 0.8282, kb_relative_information_score: -2361.1775, mean_absolute_error: 0.1921, 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: 0.9299, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3022, root_relative_squared_error: 0.9401, scimark_benchmark: 1753.9171, usercpu_time_millis: 84.388, usercpu_time_millis_testing: 9.467, usercpu_time_millis_training: 74.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.8282, kb_relative_information_score: -10.6134, 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: 1756.2378, usercpu_time_millis: 49.239, usercpu_time_millis_testing: 7.714, usercpu_time_millis_training: 41.525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8272, f_measure: 0.8282, kb_relative_information_score: 1429.1333, mean_absolute_error: 0.1813, 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: 0.8775, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2974, root_relative_squared_error: 0.9254, scimark_benchmark: 1752.4826, usercpu_time_millis: 44.987, usercpu_time_millis_testing: 3.859, usercpu_time_millis_training: 41.128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8705, f_measure: 0.8282, kb_relative_information_score: -2084.5893, mean_absolute_error: 0.1692, 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: 0.8188, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2847, root_relative_squared_error: 0.8859, scimark_benchmark: 1747.0358, usercpu_time_millis: 26.189, usercpu_time_millis_testing: 1.563, usercpu_time_millis_training: 24.626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9276, f_measure: 0.8997, kappa: 0.4864, kb_relative_information_score: 9381.078, mean_absolute_error: 0.1293, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8969, predictive_accuracy: 0.9061, prior_entropy: 0.5207, recall: 0.9061, relative_absolute_error: 0.6257, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2535, root_relative_squared_error: 0.7886, scimark_benchmark: 1752.5701, usercpu_time_millis: 578.154, usercpu_time_millis_testing: 8.185, usercpu_time_millis_training: 569.969,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9135, f_measure: 0.884, kappa: 0.3777, kb_relative_information_score: 5678.3789, mean_absolute_error: 0.1428, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8828, predictive_accuracy: 0.899, prior_entropy: 0.5207, recall: 0.899, relative_absolute_error: 0.6912, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2633, root_relative_squared_error: 0.8192, scimark_benchmark: 1846.1643, usercpu_time_millis: 24.979, usercpu_time_millis_testing: 0.367, usercpu_time_millis_training: 24.612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9185, f_measure: 0.8683, kappa: 0.2595, kb_relative_information_score: 5054.9059, mean_absolute_error: 0.1494, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8826, predictive_accuracy: 0.8969, prior_entropy: 0.5207, recall: 0.8969, relative_absolute_error: 0.7232, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2626, root_relative_squared_error: 0.817, scimark_benchmark: 1739.5769, usercpu_time_millis: 552.729, usercpu_time_millis_testing: 19.619, usercpu_time_millis_training: 533.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9225, f_measure: 0.8939, kappa: 0.4455, kb_relative_information_score: 7305.0301, mean_absolute_error: 0.1362, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8913, predictive_accuracy: 0.9035, prior_entropy: 0.5207, recall: 0.9035, relative_absolute_error: 0.6593, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2576, root_relative_squared_error: 0.8013, scimark_benchmark: 1832.1165, usercpu_time_millis: 490.497, usercpu_time_millis_testing: 11.833, usercpu_time_millis_training: 478.664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9293, f_measure: 0.8982, kappa: 0.4736, kb_relative_information_score: 8917.87, mean_absolute_error: 0.1317, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8955, predictive_accuracy: 0.9059, prior_entropy: 0.5207, recall: 0.9059, relative_absolute_error: 0.6374, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2527, root_relative_squared_error: 0.7861, scimark_benchmark: 1823.771, usercpu_time_millis: 362.377, usercpu_time_millis_testing: 10.258, usercpu_time_millis_training: 352.119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9284, f_measure: 0.9009, kappa: 0.4952, kb_relative_information_score: 9264.5041, mean_absolute_error: 0.1293, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8981, predictive_accuracy: 0.9066, prior_entropy: 0.5207, recall: 0.9066, relative_absolute_error: 0.6256, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2527, root_relative_squared_error: 0.7864, scimark_benchmark: 1836.2249, usercpu_time_millis: 366.943, usercpu_time_millis_testing: 6.473, usercpu_time_millis_training: 360.47,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8942, f_measure: 0.8282, kb_relative_information_score: 3198.7546, mean_absolute_error: 0.1657, 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: 0.8019, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2767, root_relative_squared_error: 0.8608, scimark_benchmark: 2130.0101, usercpu_time_millis: 106.729, usercpu_time_millis_testing: 7.37, usercpu_time_millis_training: 99.359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9269, f_measure: 0.8951, kappa: 0.4494, kb_relative_information_score: 8007.0952, mean_absolute_error: 0.1356, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8929, predictive_accuracy: 0.9051, prior_entropy: 0.5207, recall: 0.9051, relative_absolute_error: 0.6561, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2543, root_relative_squared_error: 0.7913, scimark_benchmark: 1841.2811, usercpu_time_millis: 63.889, usercpu_time_millis_testing: 2.483, usercpu_time_millis_training: 61.406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.8282, kb_relative_information_score: -9.4, 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: 1844.7474, usercpu_time_millis: 42.272, usercpu_time_millis_testing: 7.149, usercpu_time_millis_training: 35.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.885, f_measure: 0.8282, kb_relative_information_score: 944.2306, mean_absolute_error: 0.1824, 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: 0.8829, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2901, root_relative_squared_error: 0.9027, scimark_benchmark: 1832.6873, usercpu_time_millis: 120.179, usercpu_time_millis_testing: 7.851, usercpu_time_millis_training: 112.328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.926, f_measure: 0.8934, kappa: 0.44, kb_relative_information_score: 8964.9227, mean_absolute_error: 0.1328, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.891, predictive_accuracy: 0.9037, prior_entropy: 0.5207, recall: 0.9037, relative_absolute_error: 0.6428, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2544, root_relative_squared_error: 0.7914, scimark_benchmark: 1830.3986, usercpu_time_millis: 52.98, usercpu_time_millis_testing: 1.897, usercpu_time_millis_training: 51.083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8838, f_measure: 0.8381, kappa: 0.0637, kb_relative_information_score: 4187.4562, mean_absolute_error: 0.1651, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8704, predictive_accuracy: 0.886, prior_entropy: 0.5207, recall: 0.886, relative_absolute_error: 0.7991, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2777, root_relative_squared_error: 0.8641, scimark_benchmark: 1838.168, usercpu_time_millis: 89.291, usercpu_time_millis_testing: 4.848, usercpu_time_millis_training: 84.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8521, f_measure: 0.8282, kb_relative_information_score: -2142.1837, mean_absolute_error: 0.1958, 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: 0.9476, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3066, root_relative_squared_error: 0.954, scimark_benchmark: 1837.6486, usercpu_time_millis: 20.502, usercpu_time_millis_testing: 1.238, usercpu_time_millis_training: 19.264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9309, f_measure: 0.9013, kappa: 0.4947, kb_relative_information_score: 9753.2594, mean_absolute_error: 0.1279, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8986, predictive_accuracy: 0.9075, prior_entropy: 0.5207, recall: 0.9075, relative_absolute_error: 0.6192, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2505, root_relative_squared_error: 0.7795, scimark_benchmark: 2118.7089, usercpu_time_millis: 36.891, usercpu_time_millis_testing: 1.172, usercpu_time_millis_training: 35.719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9279, f_measure: 0.8988, kappa: 0.4769, kb_relative_information_score: 8904.7358, mean_absolute_error: 0.1309, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8961, predictive_accuracy: 0.9064, prior_entropy: 0.5207, recall: 0.9064, relative_absolute_error: 0.6336, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2533, root_relative_squared_error: 0.7881, scimark_benchmark: 1848.7304, usercpu_time_millis: 770.211, usercpu_time_millis_testing: 16.208, usercpu_time_millis_training: 754.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9273, f_measure: 0.899, kappa: 0.4809, kb_relative_information_score: 8797.7402, mean_absolute_error: 0.132, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8962, predictive_accuracy: 0.9059, prior_entropy: 0.5207, recall: 0.9059, relative_absolute_error: 0.639, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2537, root_relative_squared_error: 0.7893, scimark_benchmark: 1847.3406, usercpu_time_millis: 492.406, usercpu_time_millis_testing: 11.261, usercpu_time_millis_training: 481.145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9056, f_measure: 0.8845, kappa: 0.3888, kb_relative_information_score: 5488.9867, mean_absolute_error: 0.147, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8813, predictive_accuracy: 0.8969, prior_entropy: 0.5207, recall: 0.8969, relative_absolute_error: 0.7117, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2675, root_relative_squared_error: 0.8323, scimark_benchmark: 1853.3841, usercpu_time_millis: 321.882, usercpu_time_millis_testing: 7.139, usercpu_time_millis_training: 314.743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9293, f_measure: 0.9001, kappa: 0.4861, kb_relative_information_score: 9332.5021, mean_absolute_error: 0.1296, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8973, predictive_accuracy: 0.9069, prior_entropy: 0.5207, recall: 0.9069, relative_absolute_error: 0.6272, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2521, root_relative_squared_error: 0.7845, scimark_benchmark: 1849.3014, usercpu_time_millis: 318.116, usercpu_time_millis_testing: 6.976, usercpu_time_millis_training: 311.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9068, f_measure: 0.8618, kappa: 0.2186, kb_relative_information_score: 3422.2778, mean_absolute_error: 0.1533, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8763, predictive_accuracy: 0.8936, prior_entropy: 0.5207, recall: 0.8936, relative_absolute_error: 0.742, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2689, root_relative_squared_error: 0.8366, scimark_benchmark: 1848.2024, usercpu_time_millis: 287.607, usercpu_time_millis_testing: 11.663, usercpu_time_millis_training: 275.944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9286, f_measure: 0.8986, kappa: 0.4752, kb_relative_information_score: 8871.5621, mean_absolute_error: 0.1319, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.896, predictive_accuracy: 0.9064, prior_entropy: 0.5207, recall: 0.9064, relative_absolute_error: 0.6383, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2528, root_relative_squared_error: 0.7866, scimark_benchmark: 1846.5018, usercpu_time_millis: 233.173, usercpu_time_millis_testing: 11.711, usercpu_time_millis_training: 221.462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9264, f_measure: 0.8906, kappa: 0.4166, kb_relative_information_score: 7346.3952, mean_absolute_error: 0.1375, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.89, predictive_accuracy: 0.9038, prior_entropy: 0.5207, recall: 0.9038, relative_absolute_error: 0.6657, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2556, root_relative_squared_error: 0.7952, scimark_benchmark: 1843.1687, usercpu_time_millis: 219.494, usercpu_time_millis_testing: 6.794, usercpu_time_millis_training: 212.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9255, f_measure: 0.8833, kappa: 0.3615, kb_relative_information_score: 6851.6808, mean_absolute_error: 0.1421, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8875, predictive_accuracy: 0.9021, prior_entropy: 0.5207, recall: 0.9021, relative_absolute_error: 0.6877, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2569, root_relative_squared_error: 0.7992, scimark_benchmark: 1853.454, usercpu_time_millis: 176.368, usercpu_time_millis_testing: 9.337, usercpu_time_millis_training: 167.031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8414, f_measure: 0.8282, kb_relative_information_score: -259.9876, mean_absolute_error: 0.1689, 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: 0.8173, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2882, root_relative_squared_error: 0.8967, scimark_benchmark: 1853.9121, usercpu_time_millis: 56.294, usercpu_time_millis_testing: 1.431, usercpu_time_millis_training: 54.863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9091, f_measure: 0.8883, kappa: 0.4142, kb_relative_information_score: 5704.6251, mean_absolute_error: 0.1422, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.885, predictive_accuracy: 0.8989, prior_entropy: 0.5207, recall: 0.8989, relative_absolute_error: 0.6883, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2644, root_relative_squared_error: 0.8226, scimark_benchmark: 1849.8294, usercpu_time_millis: 36.779, usercpu_time_millis_testing: 0.488, usercpu_time_millis_training: 36.291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.8282, kb_relative_information_score: -0.963, 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: 0.9997, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3214, root_relative_squared_error: 1, scimark_benchmark: 1846.2342, usercpu_time_millis: 16.314, usercpu_time_millis_testing: 2.216, usercpu_time_millis_training: 14.098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8799, f_measure: 0.8589, kappa: 0.2063, kb_relative_information_score: 4454.817, mean_absolute_error: 0.1531, 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: 0.741, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2751, root_relative_squared_error: 0.8559, scimark_benchmark: 1852.4707, usercpu_time_millis: 22.348, usercpu_time_millis_testing: 0.375, usercpu_time_millis_training: 21.973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9067, f_measure: 0.8317, kappa: 0.0225, kb_relative_information_score: 3302.1847, mean_absolute_error: 0.1627, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8796, predictive_accuracy: 0.8843, prior_entropy: 0.5207, recall: 0.8843, relative_absolute_error: 0.7873, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2725, root_relative_squared_error: 0.8479, scimark_benchmark: 1740.9129, usercpu_time_millis: 337.097, usercpu_time_millis_testing: 21.808, usercpu_time_millis_training: 315.289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.902, f_measure: 0.8282, kb_relative_information_score: 1840.7983, 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: 0.7998, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2754, root_relative_squared_error: 0.8569, scimark_benchmark: 1736.4412, usercpu_time_millis: 286.716, usercpu_time_millis_testing: 16.224, usercpu_time_millis_training: 270.492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9199, f_measure: 0.8704, kappa: 0.2725, kb_relative_information_score: 5519.4709, mean_absolute_error: 0.1486, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8842, predictive_accuracy: 0.8979, prior_entropy: 0.5207, recall: 0.8979, relative_absolute_error: 0.7193, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2616, root_relative_squared_error: 0.8138, scimark_benchmark: 2007.9695, usercpu_time_millis: 183.503, usercpu_time_millis_testing: 18.158, usercpu_time_millis_training: 165.345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9074, f_measure: 0.8391, kappa: 0.069, kb_relative_information_score: 3276.3341, mean_absolute_error: 0.1732, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8796, predictive_accuracy: 0.8868, prior_entropy: 0.5207, recall: 0.8868, relative_absolute_error: 0.8385, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.28, root_relative_squared_error: 0.8712, scimark_benchmark: 1725.6697, usercpu_time_millis: 138.448, usercpu_time_millis_testing: 12.172, usercpu_time_millis_training: 126.276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8521, f_measure: 0.8282, kb_relative_information_score: -2174.2388, mean_absolute_error: 0.196, 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: 0.9484, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3068, root_relative_squared_error: 0.9546, scimark_benchmark: 1739.5413, usercpu_time_millis: 36.158, usercpu_time_millis_testing: 4.029, usercpu_time_millis_training: 32.129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8282, kb_relative_information_score: -23.8153, 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: 1734.1753, usercpu_time_millis: 12.893, usercpu_time_millis_testing: 1.65, usercpu_time_millis_training: 11.243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9302, f_measure: 0.9016, kappa: 0.4978, kb_relative_information_score: 10093.9421, mean_absolute_error: 0.1264, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8988, predictive_accuracy: 0.9074, prior_entropy: 0.5207, recall: 0.9074, relative_absolute_error: 0.6116, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2511, root_relative_squared_error: 0.7812, scimark_benchmark: 1719.5862, usercpu_time_millis: 538.992, usercpu_time_millis_testing: 8.114, usercpu_time_millis_training: 530.878,

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