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: 0.9135, f_measure: 0.8865, kappa: 0.4054, kb_relative_information_score: 6034.6111, mean_absolute_error: 0.1413, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8828, predictive_accuracy: 0.897, prior_entropy: 0.5207, recall: 0.897, relative_absolute_error: 0.6837, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2635, root_relative_squared_error: 0.8197, scimark_benchmark: 1733.7613, usercpu_time_millis: 970.407, usercpu_time_millis_testing: 20.935, usercpu_time_millis_training: 949.472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.91, f_measure: 0.8536, kappa: 0.1612, kb_relative_information_score: 3557.5487, mean_absolute_error: 0.1549, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8843, predictive_accuracy: 0.8923, prior_entropy: 0.5207, recall: 0.8923, relative_absolute_error: 0.7499, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2683, root_relative_squared_error: 0.8347, scimark_benchmark: 1815.141, usercpu_time_millis: 330.55, usercpu_time_millis_testing: 15.501, usercpu_time_millis_training: 315.049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9157, f_measure: 0.8841, kappa: 0.372, kb_relative_information_score: 5399.0115, mean_absolute_error: 0.1445, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8853, predictive_accuracy: 0.901, prior_entropy: 0.5207, recall: 0.901, relative_absolute_error: 0.6992, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2626, root_relative_squared_error: 0.8169, scimark_benchmark: 1831.6845, usercpu_time_millis: 304.312, usercpu_time_millis_testing: 12.46, usercpu_time_millis_training: 291.852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9041, f_measure: 0.8282, kb_relative_information_score: 2595.5847, mean_absolute_error: 0.169, 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: 0.8178, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2769, root_relative_squared_error: 0.8614, scimark_benchmark: 1839.1303, usercpu_time_millis: 195.004, usercpu_time_millis_testing: 15.466, usercpu_time_millis_training: 179.538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.916, f_measure: 0.8854, kappa: 0.3899, kb_relative_information_score: 6079.7245, mean_absolute_error: 0.1428, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8832, predictive_accuracy: 0.8988, prior_entropy: 0.5207, recall: 0.8988, relative_absolute_error: 0.6911, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2623, root_relative_squared_error: 0.8161, scimark_benchmark: 1842.598, usercpu_time_millis: 118.329, usercpu_time_millis_testing: 8.533, usercpu_time_millis_training: 109.796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.915, f_measure: 0.8876, kappa: 0.4085, kb_relative_information_score: 6236.2084, mean_absolute_error: 0.1409, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8846, predictive_accuracy: 0.8989, prior_entropy: 0.5207, recall: 0.8989, relative_absolute_error: 0.682, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2623, root_relative_squared_error: 0.816, scimark_benchmark: 1815.5992, usercpu_time_millis: 115.143, usercpu_time_millis_testing: 2.951, usercpu_time_millis_training: 112.192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9138, f_measure: 0.8852, kappa: 0.3876, kb_relative_information_score: 5641.7627, mean_absolute_error: 0.1433, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8832, predictive_accuracy: 0.899, prior_entropy: 0.5207, recall: 0.899, relative_absolute_error: 0.6937, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2634, root_relative_squared_error: 0.8195, scimark_benchmark: 1843.1261, usercpu_time_millis: 94.893, usercpu_time_millis_testing: 1.902, usercpu_time_millis_training: 92.991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8335, f_measure: 0.8282, kb_relative_information_score: 2408.4942, mean_absolute_error: 0.1782, 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: 0.8625, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2927, root_relative_squared_error: 0.9105, scimark_benchmark: 1824.1606, usercpu_time_millis: 31.408, usercpu_time_millis_testing: 1.665, usercpu_time_millis_training: 29.743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.8282, kb_relative_information_score: -21.426, 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: 1817.138, usercpu_time_millis: 18.386, usercpu_time_millis_testing: 1.751, usercpu_time_millis_training: 16.635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8681, f_measure: 0.8282, kb_relative_information_score: -2231.5353, mean_absolute_error: 0.1735, 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: 0.84, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2871, root_relative_squared_error: 0.8932, scimark_benchmark: 1728.0167, usercpu_time_millis: 16.639, usercpu_time_millis_testing: 1.219, usercpu_time_millis_training: 15.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8592, f_measure: 0.8282, kb_relative_information_score: -2096.8991, mean_absolute_error: 0.1696, 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: 0.821, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.287, root_relative_squared_error: 0.8929, scimark_benchmark: 1818.4176, usercpu_time_millis: 13.091, usercpu_time_millis_testing: 0.419, usercpu_time_millis_training: 12.672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.8282, kb_relative_information_score: -39.5206, 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: 1729.7915, usercpu_time_millis: 10.439, usercpu_time_millis_testing: 0.753, usercpu_time_millis_training: 9.686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8718, f_measure: 0.8282, kb_relative_information_score: -1392.5795, mean_absolute_error: 0.188, 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: 0.9101, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2972, root_relative_squared_error: 0.9246, scimark_benchmark: 1725.0628, usercpu_time_millis: 6.477, usercpu_time_millis_testing: 0.55, usercpu_time_millis_training: 5.927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8282, kb_relative_information_score: -110.6109, 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: 1814.7586, usercpu_time_millis: 6.788, usercpu_time_millis_testing: 0.363, usercpu_time_millis_training: 6.425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9199, f_measure: 0.8916, kappa: 0.4303, kb_relative_information_score: 6648.0462, mean_absolute_error: 0.1386, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8891, predictive_accuracy: 0.9023, prior_entropy: 0.5207, recall: 0.9023, relative_absolute_error: 0.6707, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2593, root_relative_squared_error: 0.8068, scimark_benchmark: 1747.213, usercpu_time_millis: 584.761, usercpu_time_millis_testing: 10.578, usercpu_time_millis_training: 574.183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9281, f_measure: 0.8996, kappa: 0.483, kb_relative_information_score: 9131.2656, mean_absolute_error: 0.13, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8968, predictive_accuracy: 0.9065, prior_entropy: 0.5207, recall: 0.9065, relative_absolute_error: 0.6292, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2529, root_relative_squared_error: 0.7868, scimark_benchmark: 1755.4924, usercpu_time_millis: 567.297, usercpu_time_millis_testing: 10.446, usercpu_time_millis_training: 556.851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9193, f_measure: 0.8932, kappa: 0.4404, kb_relative_information_score: 6815.019, mean_absolute_error: 0.1394, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8907, predictive_accuracy: 0.9032, prior_entropy: 0.5207, recall: 0.9032, relative_absolute_error: 0.6746, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2589, root_relative_squared_error: 0.8055, scimark_benchmark: 1844.2371, usercpu_time_millis: 364.053, usercpu_time_millis_testing: 19.068, usercpu_time_millis_training: 344.985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8993, f_measure: 0.8661, kappa: 0.258, kb_relative_information_score: 3488.1493, mean_absolute_error: 0.1527, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8679, predictive_accuracy: 0.8912, prior_entropy: 0.5207, recall: 0.8912, relative_absolute_error: 0.739, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2707, root_relative_squared_error: 0.8424, scimark_benchmark: 1846.6923, usercpu_time_millis: 326.306, usercpu_time_millis_testing: 8.268, usercpu_time_millis_training: 318.038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8569, f_measure: 0.8282, kb_relative_information_score: -1550.1471, mean_absolute_error: 0.1705, 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: 0.8252, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.287, root_relative_squared_error: 0.8931, scimark_benchmark: 1752.8574, usercpu_time_millis: 246.124, usercpu_time_millis_testing: 12.613, usercpu_time_millis_training: 233.511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.922, f_measure: 0.8665, kappa: 0.2459, kb_relative_information_score: 5898.4769, mean_absolute_error: 0.1502, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8847, predictive_accuracy: 0.8968, prior_entropy: 0.5207, recall: 0.8968, relative_absolute_error: 0.7271, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2611, root_relative_squared_error: 0.8124, scimark_benchmark: 1753.6726, usercpu_time_millis: 193.471, usercpu_time_millis_testing: 10.706, usercpu_time_millis_training: 182.765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9315, f_measure: 0.901, kappa: 0.4922, kb_relative_information_score: 9264.9399, mean_absolute_error: 0.1298, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8983, predictive_accuracy: 0.9075, prior_entropy: 0.5207, recall: 0.9075, relative_absolute_error: 0.6282, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2506, root_relative_squared_error: 0.7796, scimark_benchmark: 1732.7672, usercpu_time_millis: 88.199, usercpu_time_millis_testing: 4.432, usercpu_time_millis_training: 83.767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9207, f_measure: 0.8772, kappa: 0.3219, kb_relative_information_score: 5900.4521, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8835, predictive_accuracy: 0.8994, prior_entropy: 0.5207, recall: 0.8994, relative_absolute_error: 0.7011, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2604, root_relative_squared_error: 0.81, scimark_benchmark: 1723.0604, usercpu_time_millis: 82.503, usercpu_time_millis_testing: 3.026, usercpu_time_millis_training: 79.477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9003, f_measure: 0.8282, kb_relative_information_score: 1948.6203, mean_absolute_error: 0.1782, 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: 0.8627, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2854, root_relative_squared_error: 0.888, scimark_benchmark: 1851.827, usercpu_time_millis: 50.941, usercpu_time_millis_testing: 4.286, usercpu_time_millis_training: 46.655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9062, f_measure: 0.8385, kappa: 0.065, kb_relative_information_score: 3253.6058, mean_absolute_error: 0.1733, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.879, predictive_accuracy: 0.8866, prior_entropy: 0.5207, recall: 0.8866, relative_absolute_error: 0.839, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2802, root_relative_squared_error: 0.8717, scimark_benchmark: 1735.9375, usercpu_time_millis: 19.658, usercpu_time_millis_testing: 0.847, usercpu_time_millis_training: 18.811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8942, f_measure: 0.8282, kb_relative_information_score: 655.677, mean_absolute_error: 0.1737, 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: 0.8408, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2822, root_relative_squared_error: 0.878, scimark_benchmark: 1850.2875, usercpu_time_millis: 8.126, usercpu_time_millis_testing: 0.605, usercpu_time_millis_training: 7.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9286, f_measure: 0.8994, kappa: 0.4815, kb_relative_information_score: 9164.069, mean_absolute_error: 0.1302, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8966, predictive_accuracy: 0.9065, prior_entropy: 0.5207, recall: 0.9065, relative_absolute_error: 0.6303, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2526, root_relative_squared_error: 0.7859, scimark_benchmark: 1849.8294, usercpu_time_millis: 591.664, usercpu_time_millis_testing: 22.386, usercpu_time_millis_training: 569.278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8967, f_measure: 0.8595, kappa: 0.2101, kb_relative_information_score: 4650.9045, mean_absolute_error: 0.152, 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: 0.7359, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2721, root_relative_squared_error: 0.8467, scimark_benchmark: 1851.8968, usercpu_time_millis: 525.53, usercpu_time_millis_testing: 13.217, usercpu_time_millis_training: 512.313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9019, f_measure: 0.8646, kappa: 0.2446, kb_relative_information_score: 3448.9796, mean_absolute_error: 0.152, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.869, predictive_accuracy: 0.8917, prior_entropy: 0.5207, recall: 0.8917, relative_absolute_error: 0.7357, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2698, root_relative_squared_error: 0.8394, scimark_benchmark: 1853.454, usercpu_time_millis: 426.207, usercpu_time_millis_testing: 17.245, usercpu_time_millis_training: 408.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9169, f_measure: 0.8838, kappa: 0.3713, kb_relative_information_score: 5653.7031, mean_absolute_error: 0.1431, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8845, predictive_accuracy: 0.9004, prior_entropy: 0.5207, recall: 0.9004, relative_absolute_error: 0.6925, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2618, root_relative_squared_error: 0.8145, scimark_benchmark: 1849.3742, usercpu_time_millis: 365.694, usercpu_time_millis_testing: 11.627, usercpu_time_millis_training: 354.067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8974, f_measure: 0.8596, kappa: 0.2108, kb_relative_information_score: 4590.2894, mean_absolute_error: 0.1528, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8659, predictive_accuracy: 0.8901, prior_entropy: 0.5207, recall: 0.8901, relative_absolute_error: 0.7396, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2721, root_relative_squared_error: 0.8466, scimark_benchmark: 1855.5541, usercpu_time_millis: 332.462, usercpu_time_millis_testing: 11.77, usercpu_time_millis_training: 320.692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8821, f_measure: 0.8593, kappa: 0.2085, kb_relative_information_score: 4490.9135, mean_absolute_error: 0.1535, 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: 0.743, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2749, root_relative_squared_error: 0.8554, scimark_benchmark: 1850.8185, usercpu_time_millis: 310.294, usercpu_time_millis_testing: 11.009, usercpu_time_millis_training: 299.285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.928, f_measure: 0.8962, kappa: 0.4579, kb_relative_information_score: 8296.8957, mean_absolute_error: 0.1332, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8938, predictive_accuracy: 0.9054, prior_entropy: 0.5207, recall: 0.9054, relative_absolute_error: 0.6447, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2539, root_relative_squared_error: 0.7899, scimark_benchmark: 1851.2072, usercpu_time_millis: 293.997, usercpu_time_millis_testing: 11.12, usercpu_time_millis_training: 282.877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9223, f_measure: 0.8667, kappa: 0.2472, kb_relative_information_score: 5970.0736, mean_absolute_error: 0.1499, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8848, predictive_accuracy: 0.8969, prior_entropy: 0.5207, recall: 0.8969, relative_absolute_error: 0.7254, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2609, root_relative_squared_error: 0.8116, scimark_benchmark: 1845.779, usercpu_time_millis: 283.603, usercpu_time_millis_testing: 21.016, usercpu_time_millis_training: 262.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9263, f_measure: 0.8968, kappa: 0.4631, kb_relative_information_score: 8086.4449, mean_absolute_error: 0.135, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8942, predictive_accuracy: 0.9055, prior_entropy: 0.5207, recall: 0.9055, relative_absolute_error: 0.6536, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2545, root_relative_squared_error: 0.7918, scimark_benchmark: 1847.8629, usercpu_time_millis: 281.349, usercpu_time_millis_testing: 18.031, usercpu_time_millis_training: 263.318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.91, f_measure: 0.8809, kappa: 0.3556, kb_relative_information_score: 4706.5445, mean_absolute_error: 0.1466, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8805, predictive_accuracy: 0.8979, prior_entropy: 0.5207, recall: 0.8979, relative_absolute_error: 0.7096, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2656, root_relative_squared_error: 0.8264, scimark_benchmark: 1850.2875, usercpu_time_millis: 277.236, usercpu_time_millis_testing: 8.072, usercpu_time_millis_training: 269.164,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9198, f_measure: 0.8654, kappa: 0.2388, kb_relative_information_score: 5677.0507, mean_absolute_error: 0.1523, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8845, predictive_accuracy: 0.8964, prior_entropy: 0.5207, recall: 0.8964, relative_absolute_error: 0.7369, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2627, root_relative_squared_error: 0.8175, scimark_benchmark: 1850.2875, usercpu_time_millis: 113.504, usercpu_time_millis_testing: 5.906, usercpu_time_millis_training: 107.598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9014, f_measure: 0.8283, kappa: 0.0007, kb_relative_information_score: 1847.9987, mean_absolute_error: 0.1683, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8967, predictive_accuracy: 0.8831, prior_entropy: 0.5207, recall: 0.8831, relative_absolute_error: 0.8146, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2771, root_relative_squared_error: 0.8622, scimark_benchmark: 1851.9295, usercpu_time_millis: 86.599, usercpu_time_millis_testing: 6.614, usercpu_time_millis_training: 79.985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.8282, kb_relative_information_score: -8.5522, 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: 1849.3014, usercpu_time_millis: 50.019, usercpu_time_millis_testing: 8.72, usercpu_time_millis_training: 41.299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8547, f_measure: 0.8282, kb_relative_information_score: -2436.6783, mean_absolute_error: 0.1925, 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: 0.9316, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3029, root_relative_squared_error: 0.9424, scimark_benchmark: 1858.0974, usercpu_time_millis: 44.191, usercpu_time_millis_testing: 5.393, usercpu_time_millis_training: 38.798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.8282, kb_relative_information_score: -9.066, 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: 1848.916, usercpu_time_millis: 37.537, usercpu_time_millis_testing: 6.681, usercpu_time_millis_training: 30.856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9294, f_measure: 0.8965, kappa: 0.4613, kb_relative_information_score: 8773.5904, mean_absolute_error: 0.1323, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8938, predictive_accuracy: 0.9051, prior_entropy: 0.5207, recall: 0.9051, relative_absolute_error: 0.6403, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2527, root_relative_squared_error: 0.7863, scimark_benchmark: 1845.4279, usercpu_time_millis: 36.24, usercpu_time_millis_testing: 1.202, usercpu_time_millis_training: 35.038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.8282, kb_relative_information_score: -24.5219, 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: 0.9996, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3214, root_relative_squared_error: 1, scimark_benchmark: 1851.3986, usercpu_time_millis: 9.702, usercpu_time_millis_testing: 0.645, usercpu_time_millis_training: 9.057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9059, f_measure: 0.8344, kappa: 0.0394, kb_relative_information_score: 3549.9248, mean_absolute_error: 0.1601, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8824, predictive_accuracy: 0.8853, prior_entropy: 0.5207, recall: 0.8853, relative_absolute_error: 0.7749, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2715, root_relative_squared_error: 0.8446, scimark_benchmark: 1852.355, usercpu_time_millis: 9.149, usercpu_time_millis_testing: 0.434, usercpu_time_millis_training: 8.715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9171, f_measure: 0.886, kappa: 0.389, kb_relative_information_score: 6085.0815, mean_absolute_error: 0.141, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8851, predictive_accuracy: 0.9005, prior_entropy: 0.5207, recall: 0.9005, relative_absolute_error: 0.6825, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2613, root_relative_squared_error: 0.8131, scimark_benchmark: 1808.0708, usercpu_time_millis: 527.733, usercpu_time_millis_testing: 13.681, usercpu_time_millis_training: 514.052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9105, f_measure: 0.8776, kappa: 0.3379, kb_relative_information_score: 5250.5646, mean_absolute_error: 0.1446, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8761, predictive_accuracy: 0.8949, prior_entropy: 0.5207, recall: 0.8949, relative_absolute_error: 0.6998, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2656, root_relative_squared_error: 0.8263, scimark_benchmark: 1815.5992, usercpu_time_millis: 446.008, usercpu_time_millis_testing: 9.67, usercpu_time_millis_training: 436.338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9264, f_measure: 0.8967, kappa: 0.4635, kb_relative_information_score: 8394.6507, mean_absolute_error: 0.1325, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8939, predictive_accuracy: 0.905, prior_entropy: 0.5207, recall: 0.905, relative_absolute_error: 0.6415, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2547, root_relative_squared_error: 0.7925, scimark_benchmark: 1849.8294, usercpu_time_millis: 418.957, usercpu_time_millis_testing: 9.02, usercpu_time_millis_training: 409.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8985, f_measure: 0.8594, kappa: 0.2089, kb_relative_information_score: 4597.6804, mean_absolute_error: 0.1503, 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: 0.7273, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2715, root_relative_squared_error: 0.8448, scimark_benchmark: 1846.3057, usercpu_time_millis: 322.105, usercpu_time_millis_testing: 10.641, usercpu_time_millis_training: 311.464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9051, f_measure: 0.8654, kappa: 0.2479, kb_relative_information_score: 4973.3732, mean_absolute_error: 0.1497, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8715, predictive_accuracy: 0.8928, prior_entropy: 0.5207, recall: 0.8928, relative_absolute_error: 0.7245, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2691, root_relative_squared_error: 0.8374, scimark_benchmark: 1846.6923, usercpu_time_millis: 245.408, usercpu_time_millis_testing: 8.665, usercpu_time_millis_training: 236.743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.929, f_measure: 0.898, kappa: 0.4709, kb_relative_information_score: 8783.8168, mean_absolute_error: 0.1321, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8955, predictive_accuracy: 0.9063, prior_entropy: 0.5207, recall: 0.9063, relative_absolute_error: 0.6394, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2527, root_relative_squared_error: 0.7863, scimark_benchmark: 1818.4874, usercpu_time_millis: 220.025, usercpu_time_millis_testing: 13.146, usercpu_time_millis_training: 206.879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.931, f_measure: 0.9022, kappa: 0.5017, kb_relative_information_score: 9856.7705, mean_absolute_error: 0.1272, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8995, predictive_accuracy: 0.9078, prior_entropy: 0.5207, recall: 0.9078, relative_absolute_error: 0.6157, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2506, root_relative_squared_error: 0.7796, scimark_benchmark: 1815.5992, usercpu_time_millis: 214.403, usercpu_time_millis_testing: 4.276, usercpu_time_millis_training: 210.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9163, f_measure: 0.8888, kappa: 0.4125, kb_relative_information_score: 6146.3628, mean_absolute_error: 0.141, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8864, predictive_accuracy: 0.9006, prior_entropy: 0.5207, recall: 0.9006, relative_absolute_error: 0.6825, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2616, root_relative_squared_error: 0.8139, scimark_benchmark: 1850.2875, usercpu_time_millis: 183.378, usercpu_time_millis_testing: 3.695, usercpu_time_millis_training: 179.683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9281, f_measure: 0.9004, kappa: 0.4917, kb_relative_information_score: 9790.9194, mean_absolute_error: 0.1265, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8976, predictive_accuracy: 0.9064, prior_entropy: 0.5207, recall: 0.9064, relative_absolute_error: 0.6124, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2523, root_relative_squared_error: 0.785, scimark_benchmark: 1825.2596, usercpu_time_millis: 89.528, usercpu_time_millis_testing: 1.784, usercpu_time_millis_training: 87.744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8845, f_measure: 0.8604, kappa: 0.2155, kb_relative_information_score: 4462.382, mean_absolute_error: 0.1571, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8666, predictive_accuracy: 0.8904, prior_entropy: 0.5207, recall: 0.8904, relative_absolute_error: 0.7604, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2744, root_relative_squared_error: 0.8537, scimark_benchmark: 1849.9051, usercpu_time_millis: 58.811, usercpu_time_millis_testing: 2.057, usercpu_time_millis_training: 56.754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8939, f_measure: 0.8282, kb_relative_information_score: 1563.4938, mean_absolute_error: 0.179, 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: 0.8665, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2866, root_relative_squared_error: 0.8918, scimark_benchmark: 1842.1399, usercpu_time_millis: 54.268, usercpu_time_millis_testing: 3.736, usercpu_time_millis_training: 50.532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.8282, kb_relative_information_score: -3.4893, 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: 1820.0566, usercpu_time_millis: 35.566, usercpu_time_millis_testing: 2.26, usercpu_time_millis_training: 33.306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9001, f_measure: 0.8282, kb_relative_information_score: 3324.4822, mean_absolute_error: 0.1618, 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: 0.7833, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2739, root_relative_squared_error: 0.8522, scimark_benchmark: 1855.5541, usercpu_time_millis: 31.862, usercpu_time_millis_testing: 1.53, usercpu_time_millis_training: 30.332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8852, f_measure: 0.8592, kappa: 0.2082, kb_relative_information_score: 4660.5233, mean_absolute_error: 0.1517, 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: 0.7344, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2745, root_relative_squared_error: 0.8541, scimark_benchmark: 1788.1457, usercpu_time_millis: 974.72, usercpu_time_millis_testing: 15.623, usercpu_time_millis_training: 959.097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9283, f_measure: 0.9004, kappa: 0.49, kb_relative_information_score: 9178.9707, mean_absolute_error: 0.1305, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8976, predictive_accuracy: 0.9067, prior_entropy: 0.5207, recall: 0.9067, relative_absolute_error: 0.6316, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.253, root_relative_squared_error: 0.7872, scimark_benchmark: 1845.7835, usercpu_time_millis: 662.252, usercpu_time_millis_testing: 14.88, usercpu_time_millis_training: 647.372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.929, f_measure: 0.8992, kappa: 0.4789, kb_relative_information_score: 8987.4097, mean_absolute_error: 0.1308, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8966, predictive_accuracy: 0.9069, prior_entropy: 0.5207, recall: 0.9069, relative_absolute_error: 0.633, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2528, root_relative_squared_error: 0.7865, scimark_benchmark: 1842.7105, usercpu_time_millis: 444.193, usercpu_time_millis_testing: 10.493, usercpu_time_millis_training: 433.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8947, f_measure: 0.8282, kb_relative_information_score: 3224.5859, 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: 0.2765, root_relative_squared_error: 0.8603, scimark_benchmark: 1851.1348, usercpu_time_millis: 243.15, usercpu_time_millis_testing: 13.046, usercpu_time_millis_training: 230.104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8583, f_measure: 0.8282, kb_relative_information_score: -2135.9953, mean_absolute_error: 0.1732, 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: 0.8384, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2881, root_relative_squared_error: 0.8964, scimark_benchmark: 1775.7126, usercpu_time_millis: 215.993, usercpu_time_millis_testing: 11.844, usercpu_time_millis_training: 204.149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8912, f_measure: 0.8282, kb_relative_information_score: 275.0651, mean_absolute_error: 0.1713, 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: 0.829, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.281, root_relative_squared_error: 0.8744, scimark_benchmark: 1711.2649, usercpu_time_millis: 215.473, usercpu_time_millis_testing: 14.144, usercpu_time_millis_training: 201.329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9258, f_measure: 0.8956, kappa: 0.4532, kb_relative_information_score: 7887.5018, mean_absolute_error: 0.1355, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8934, predictive_accuracy: 0.9054, prior_entropy: 0.5207, recall: 0.9054, relative_absolute_error: 0.6559, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.255, root_relative_squared_error: 0.7933, scimark_benchmark: 1784.7317, usercpu_time_millis: 208.792, usercpu_time_millis_testing: 8.268, usercpu_time_millis_training: 200.524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.93, f_measure: 0.8978, kappa: 0.471, kb_relative_information_score: 9130.8242, mean_absolute_error: 0.131, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8951, predictive_accuracy: 0.9057, prior_entropy: 0.5207, recall: 0.9057, relative_absolute_error: 0.634, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2522, root_relative_squared_error: 0.7846, scimark_benchmark: 1843.3605, usercpu_time_millis: 144.808, usercpu_time_millis_testing: 3.779, usercpu_time_millis_training: 141.029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8453, f_measure: 0.8282, kb_relative_information_score: -1652.6811, mean_absolute_error: 0.1996, 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: 0.9661, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3114, root_relative_squared_error: 0.9689, scimark_benchmark: 1837.6486, usercpu_time_millis: 86.795, usercpu_time_millis_testing: 11.059, usercpu_time_millis_training: 75.736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8554, f_measure: 0.8282, kb_relative_information_score: -547.3688, mean_absolute_error: 0.1691, 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: 0.8182, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2866, root_relative_squared_error: 0.8917, scimark_benchmark: 1780.9446, usercpu_time_millis: 60.631, usercpu_time_millis_testing: 3.466, usercpu_time_millis_training: 57.165,

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