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: 0.923, f_measure: 0.8818, kappa: 0.3537, kb_relative_information_score: 6322.7959, mean_absolute_error: 0.1428, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8852, predictive_accuracy: 0.9008, prior_entropy: 0.5207, recall: 0.9008, relative_absolute_error: 0.6911, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2586, root_relative_squared_error: 0.8046, scimark_benchmark: 1858.6775, usercpu_time_millis: 540.624, usercpu_time_millis_testing: 26.054, usercpu_time_millis_training: 514.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9307, f_measure: 0.9001, kappa: 0.4851, kb_relative_information_score: 9232.1013, mean_absolute_error: 0.1301, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8975, predictive_accuracy: 0.9073, prior_entropy: 0.5207, recall: 0.9073, relative_absolute_error: 0.6296, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2517, root_relative_squared_error: 0.7831, scimark_benchmark: 1765.3405, usercpu_time_millis: 504.493, usercpu_time_millis_testing: 16.502, usercpu_time_millis_training: 487.991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8563, f_measure: 0.8282, kb_relative_information_score: -1131.4014, mean_absolute_error: 0.1658, 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: 0.8026, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2865, root_relative_squared_error: 0.8916, scimark_benchmark: 1852.9988, usercpu_time_millis: 454.323, usercpu_time_millis_testing: 12.156, usercpu_time_millis_training: 442.167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9251, f_measure: 0.8954, kappa: 0.4521, kb_relative_information_score: 7590.8477, mean_absolute_error: 0.1361, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8931, predictive_accuracy: 0.9051, prior_entropy: 0.5207, recall: 0.9051, relative_absolute_error: 0.6585, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2556, root_relative_squared_error: 0.7953, scimark_benchmark: 1701.3425, usercpu_time_millis: 505.923, usercpu_time_millis_testing: 18.884, usercpu_time_millis_training: 487.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9114, f_measure: 0.8818, kappa: 0.3658, kb_relative_information_score: 5271.6193, mean_absolute_error: 0.145, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8799, predictive_accuracy: 0.897, prior_entropy: 0.5207, recall: 0.897, relative_absolute_error: 0.7019, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2647, root_relative_squared_error: 0.8235, scimark_benchmark: 1726.9265, usercpu_time_millis: 508.305, usercpu_time_millis_testing: 13.454, usercpu_time_millis_training: 494.851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8555, f_measure: 0.8282, kb_relative_information_score: -1143.7491, mean_absolute_error: 0.1675, 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: 0.8107, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2867, root_relative_squared_error: 0.8921, scimark_benchmark: 1740.3462, usercpu_time_millis: 497.891, usercpu_time_millis_testing: 16.388, usercpu_time_millis_training: 481.503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.904, f_measure: 0.8653, kappa: 0.2468, kb_relative_information_score: 4685.6592, mean_absolute_error: 0.1513, 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: 0.7325, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2701, root_relative_squared_error: 0.8404, scimark_benchmark: 1817.5741, usercpu_time_millis: 419.148, usercpu_time_millis_testing: 16.904, usercpu_time_millis_training: 402.244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9059, f_measure: 0.8653, kappa: 0.2463, kb_relative_information_score: 4441.249, mean_absolute_error: 0.1531, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8721, predictive_accuracy: 0.893, prior_entropy: 0.5207, recall: 0.893, relative_absolute_error: 0.7412, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2696, root_relative_squared_error: 0.8389, scimark_benchmark: 1716.4902, usercpu_time_millis: 483.148, usercpu_time_millis_testing: 21.181, usercpu_time_millis_training: 461.967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9022, f_measure: 0.876, kappa: 0.3341, kb_relative_information_score: 3880.7244, mean_absolute_error: 0.1494, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8727, predictive_accuracy: 0.8922, prior_entropy: 0.5207, recall: 0.8922, relative_absolute_error: 0.7232, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2694, root_relative_squared_error: 0.8382, scimark_benchmark: 1853.454, usercpu_time_millis: 462.971, usercpu_time_millis_testing: 12.666, usercpu_time_millis_training: 450.305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9086, f_measure: 0.8874, kappa: 0.4083, kb_relative_information_score: 5699.3699, mean_absolute_error: 0.1443, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8842, predictive_accuracy: 0.8985, prior_entropy: 0.5207, recall: 0.8985, relative_absolute_error: 0.6986, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2654, root_relative_squared_error: 0.8259, scimark_benchmark: 1853.9121, usercpu_time_millis: 391.009, usercpu_time_millis_testing: 11.787, usercpu_time_millis_training: 379.222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9269, f_measure: 0.8977, kappa: 0.4694, kb_relative_information_score: 8356.6856, mean_absolute_error: 0.1333, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8951, predictive_accuracy: 0.906, prior_entropy: 0.5207, recall: 0.906, relative_absolute_error: 0.6454, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.254, root_relative_squared_error: 0.7903, scimark_benchmark: 1853.454, usercpu_time_millis: 461.106, usercpu_time_millis_testing: 18.373, usercpu_time_millis_training: 442.733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9242, f_measure: 0.8872, kappa: 0.3924, kb_relative_information_score: 6786.4598, mean_absolute_error: 0.1396, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8877, predictive_accuracy: 0.9024, prior_entropy: 0.5207, recall: 0.9024, relative_absolute_error: 0.6759, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.257, root_relative_squared_error: 0.7998, scimark_benchmark: 1857.1082, usercpu_time_millis: 431.944, usercpu_time_millis_testing: 16.339, usercpu_time_millis_training: 415.605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9059, f_measure: 0.8877, kappa: 0.411, kb_relative_information_score: 5520.928, mean_absolute_error: 0.1437, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8843, predictive_accuracy: 0.8984, prior_entropy: 0.5207, recall: 0.8984, relative_absolute_error: 0.6954, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2659, root_relative_squared_error: 0.8272, scimark_benchmark: 1723.6026, usercpu_time_millis: 1223.501, usercpu_time_millis_testing: 20.38, usercpu_time_millis_training: 1203.121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8597, f_measure: 0.8282, kb_relative_information_score: -1161.0216, 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: 0.2858, root_relative_squared_error: 0.8891, scimark_benchmark: 1854.4431, usercpu_time_millis: 414.329, usercpu_time_millis_testing: 15.009, usercpu_time_millis_training: 399.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9235, f_measure: 0.89, kappa: 0.4137, kb_relative_information_score: 6934.2652, mean_absolute_error: 0.1383, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8889, predictive_accuracy: 0.903, prior_entropy: 0.5207, recall: 0.903, relative_absolute_error: 0.6693, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2571, root_relative_squared_error: 0.8001, scimark_benchmark: 1724.557, usercpu_time_millis: 438.512, usercpu_time_millis_testing: 12.528, usercpu_time_millis_training: 425.984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9176, f_measure: 0.889, kappa: 0.4126, kb_relative_information_score: 6314.8373, mean_absolute_error: 0.1401, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8867, predictive_accuracy: 0.9009, prior_entropy: 0.5207, recall: 0.9009, relative_absolute_error: 0.6782, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2608, root_relative_squared_error: 0.8114, scimark_benchmark: 1819.9868, usercpu_time_millis: 348.376, usercpu_time_millis_testing: 8.438, usercpu_time_millis_training: 339.938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.924, f_measure: 0.8916, kappa: 0.427, kb_relative_information_score: 7209.293, mean_absolute_error: 0.1372, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8897, predictive_accuracy: 0.9031, prior_entropy: 0.5207, recall: 0.9031, relative_absolute_error: 0.6641, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2566, root_relative_squared_error: 0.7984, scimark_benchmark: 1847.8034, usercpu_time_millis: 408.374, usercpu_time_millis_testing: 16.406, usercpu_time_millis_training: 391.968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, f_measure: 0.8977, kappa: 0.4714, kb_relative_information_score: 8606.5408, mean_absolute_error: 0.1319, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8949, predictive_accuracy: 0.9054, prior_entropy: 0.5207, recall: 0.9054, relative_absolute_error: 0.6386, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2541, root_relative_squared_error: 0.7906, scimark_benchmark: 1817.5042, usercpu_time_millis: 340.795, usercpu_time_millis_testing: 10.977, usercpu_time_millis_training: 329.818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.915, f_measure: 0.8875, kappa: 0.4071, kb_relative_information_score: 6356.5121, mean_absolute_error: 0.1395, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8846, predictive_accuracy: 0.899, prior_entropy: 0.5207, recall: 0.899, relative_absolute_error: 0.6754, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2619, root_relative_squared_error: 0.8149, scimark_benchmark: 1856.1949, usercpu_time_millis: 411.281, usercpu_time_millis_testing: 7.388, usercpu_time_millis_training: 403.893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.915, f_measure: 0.8569, kappa: 0.1832, kb_relative_information_score: 4319.2577, mean_absolute_error: 0.1571, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8838, predictive_accuracy: 0.8935, prior_entropy: 0.5207, recall: 0.8935, relative_absolute_error: 0.7603, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2668, root_relative_squared_error: 0.8302, scimark_benchmark: 1820.9468, usercpu_time_millis: 323.944, usercpu_time_millis_testing: 21.765, usercpu_time_millis_training: 302.179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9126, f_measure: 0.8835, kappa: 0.3682, kb_relative_information_score: 4996.6632, mean_absolute_error: 0.146, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8847, predictive_accuracy: 0.9006, prior_entropy: 0.5207, recall: 0.9006, relative_absolute_error: 0.7065, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2645, root_relative_squared_error: 0.823, scimark_benchmark: 1853.9121, usercpu_time_millis: 388.958, usercpu_time_millis_testing: 11.505, usercpu_time_millis_training: 377.453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.8862, kappa: 0.3875, kb_relative_information_score: 5501.8377, mean_absolute_error: 0.1441, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8864, predictive_accuracy: 0.9016, prior_entropy: 0.5207, recall: 0.9016, relative_absolute_error: 0.6976, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2627, root_relative_squared_error: 0.8172, scimark_benchmark: 1711.1558, usercpu_time_millis: 394.699, usercpu_time_millis_testing: 14.299, usercpu_time_millis_training: 380.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9142, f_measure: 0.8837, kappa: 0.3774, kb_relative_information_score: 5632.2813, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8819, predictive_accuracy: 0.8982, prior_entropy: 0.5207, recall: 0.8982, relative_absolute_error: 0.7014, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2638, root_relative_squared_error: 0.8208, scimark_benchmark: 1853.9121, usercpu_time_millis: 376.51, usercpu_time_millis_testing: 12.717, usercpu_time_millis_training: 363.793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9046, f_measure: 0.878, kappa: 0.343, kb_relative_information_score: 4324.8224, mean_absolute_error: 0.1486, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8758, predictive_accuracy: 0.8945, prior_entropy: 0.5207, recall: 0.8945, relative_absolute_error: 0.7194, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.268, root_relative_squared_error: 0.8337, scimark_benchmark: 1821.7903, usercpu_time_millis: 310.42, usercpu_time_millis_testing: 9.88, usercpu_time_millis_training: 300.54,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9146, f_measure: 0.8854, kappa: 0.3858, kb_relative_information_score: 5686.1633, mean_absolute_error: 0.1428, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8843, predictive_accuracy: 0.9, prior_entropy: 0.5207, recall: 0.9, relative_absolute_error: 0.6912, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2629, root_relative_squared_error: 0.8181, scimark_benchmark: 1772.2721, usercpu_time_millis: 367.857, usercpu_time_millis_testing: 9.763, usercpu_time_millis_training: 358.094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9218, f_measure: 0.8788, kappa: 0.3309, kb_relative_information_score: 5874.9188, mean_absolute_error: 0.1462, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8857, predictive_accuracy: 0.9006, prior_entropy: 0.5207, recall: 0.9006, relative_absolute_error: 0.7074, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2597, root_relative_squared_error: 0.8081, scimark_benchmark: 1842.0729, usercpu_time_millis: 285.184, usercpu_time_millis_testing: 19.227, usercpu_time_millis_training: 265.957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.915, f_measure: 0.8658, kappa: 0.2453, kb_relative_information_score: 4766.4442, mean_absolute_error: 0.1508, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8778, predictive_accuracy: 0.895, prior_entropy: 0.5207, recall: 0.895, relative_absolute_error: 0.73, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2651, root_relative_squared_error: 0.8247, scimark_benchmark: 1853.454, usercpu_time_millis: 337.13, usercpu_time_millis_testing: 18.992, usercpu_time_millis_training: 318.138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9297, f_measure: 0.9001, kappa: 0.4853, kb_relative_information_score: 9197.0763, mean_absolute_error: 0.13, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8974, predictive_accuracy: 0.9072, prior_entropy: 0.5207, recall: 0.9072, relative_absolute_error: 0.6293, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2522, root_relative_squared_error: 0.7846, scimark_benchmark: 1840.8345, usercpu_time_millis: 357.938, usercpu_time_millis_testing: 11.732, usercpu_time_millis_training: 346.206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8431, f_measure: 0.8282, kb_relative_information_score: 451.5343, 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: 0.8177, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2877, root_relative_squared_error: 0.8953, scimark_benchmark: 1736.7474, usercpu_time_millis: 327.105, usercpu_time_millis_testing: 9.589, usercpu_time_millis_training: 317.516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.93, f_measure: 0.898, kappa: 0.4712, kb_relative_information_score: 8975.497, mean_absolute_error: 0.1314, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8953, predictive_accuracy: 0.906, prior_entropy: 0.5207, recall: 0.906, relative_absolute_error: 0.6359, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2522, root_relative_squared_error: 0.7848, scimark_benchmark: 1817.1684, usercpu_time_millis: 245.971, usercpu_time_millis_testing: 7.161, usercpu_time_millis_training: 238.81,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9081, f_measure: 0.88, kappa: 0.3556, kb_relative_information_score: 4567.1381, mean_absolute_error: 0.147, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8777, predictive_accuracy: 0.8956, prior_entropy: 0.5207, recall: 0.8956, relative_absolute_error: 0.7117, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2664, root_relative_squared_error: 0.8289, scimark_benchmark: 1888.5982, usercpu_time_millis: 335.367, usercpu_time_millis_testing: 12.676, usercpu_time_millis_training: 322.691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9029, f_measure: 0.8635, kappa: 0.2371, kb_relative_information_score: 3507.6635, mean_absolute_error: 0.1519, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.868, predictive_accuracy: 0.8912, prior_entropy: 0.5207, recall: 0.8912, relative_absolute_error: 0.735, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2692, root_relative_squared_error: 0.8376, scimark_benchmark: 1720.1428, usercpu_time_millis: 321.253, usercpu_time_millis_testing: 16.4, usercpu_time_millis_training: 304.853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9309, f_measure: 0.9004, kappa: 0.4877, kb_relative_information_score: 9361.3213, mean_absolute_error: 0.1296, 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: 0.6272, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2511, root_relative_squared_error: 0.7813, scimark_benchmark: 1850.8706, usercpu_time_millis: 280.647, usercpu_time_millis_testing: 10.416, usercpu_time_millis_training: 270.231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8949, f_measure: 0.8671, kappa: 0.2649, kb_relative_information_score: 3265.5237, mean_absolute_error: 0.1544, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8686, predictive_accuracy: 0.8915, prior_entropy: 0.5207, recall: 0.8915, relative_absolute_error: 0.7471, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2725, root_relative_squared_error: 0.8478, scimark_benchmark: 1859.1356, usercpu_time_millis: 271.457, usercpu_time_millis_testing: 7.48, usercpu_time_millis_training: 263.977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8599, f_measure: 0.8282, kb_relative_information_score: -2504.0339, mean_absolute_error: 0.1742, 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: 0.8432, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2887, root_relative_squared_error: 0.8982, scimark_benchmark: 1720.8898, usercpu_time_millis: 293.12, usercpu_time_millis_testing: 14.765, usercpu_time_millis_training: 278.355,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.924, f_measure: 0.8943, kappa: 0.4468, kb_relative_information_score: 7426.656, mean_absolute_error: 0.1369, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8919, predictive_accuracy: 0.9041, prior_entropy: 0.5207, recall: 0.9041, relative_absolute_error: 0.6624, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2562, root_relative_squared_error: 0.797, scimark_benchmark: 1725.0026, usercpu_time_millis: 195.904, usercpu_time_millis_testing: 13.536, usercpu_time_millis_training: 182.368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9308, f_measure: 0.9015, kappa: 0.4953, kb_relative_information_score: 9670.053, mean_absolute_error: 0.1283, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8988, predictive_accuracy: 0.9077, prior_entropy: 0.5207, recall: 0.9077, relative_absolute_error: 0.6211, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2508, root_relative_squared_error: 0.7803, scimark_benchmark: 1854.4431, usercpu_time_millis: 166.127, usercpu_time_millis_testing: 4.832, usercpu_time_millis_training: 161.295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8678, f_measure: 0.8282, kb_relative_information_score: -2832.3301, mean_absolute_error: 0.1808, 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: 0.8751, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.292, root_relative_squared_error: 0.9085, scimark_benchmark: 1717.4439, usercpu_time_millis: 174.285, usercpu_time_millis_testing: 12.778, usercpu_time_millis_training: 161.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8282, kb_relative_information_score: -2.8038, 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: 1716.5435, usercpu_time_millis: 159.443, usercpu_time_millis_testing: 10.242, usercpu_time_millis_training: 149.201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9059, f_measure: 0.8701, kappa: 0.2761, kb_relative_information_score: 3452.0447, mean_absolute_error: 0.1518, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8775, predictive_accuracy: 0.8957, prior_entropy: 0.5207, recall: 0.8957, relative_absolute_error: 0.7347, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2684, root_relative_squared_error: 0.8352, scimark_benchmark: 1727.2296, usercpu_time_millis: 143.782, usercpu_time_millis_testing: 5.9, usercpu_time_millis_training: 137.882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8604, f_measure: 0.8282, kb_relative_information_score: -2083.251, mean_absolute_error: 0.1898, 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: 0.9188, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2998, root_relative_squared_error: 0.9328, scimark_benchmark: 1799.8611, usercpu_time_millis: 83.568, usercpu_time_millis_testing: 11.412, usercpu_time_millis_training: 72.156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9182, f_measure: 0.8836, kappa: 0.3769, kb_relative_information_score: 5987.9864, mean_absolute_error: 0.143, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8819, predictive_accuracy: 0.8983, prior_entropy: 0.5207, recall: 0.8983, relative_absolute_error: 0.6921, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2615, root_relative_squared_error: 0.8135, scimark_benchmark: 1727.6802, usercpu_time_millis: 183.566, usercpu_time_millis_testing: 7.297, usercpu_time_millis_training: 176.269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9053, f_measure: 0.8322, kappa: 0.0255, kb_relative_information_score: 2779.9287, mean_absolute_error: 0.175, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8815, predictive_accuracy: 0.8845, prior_entropy: 0.5207, recall: 0.8845, relative_absolute_error: 0.8469, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2817, root_relative_squared_error: 0.8765, scimark_benchmark: 1813.1849, usercpu_time_millis: 84.468, usercpu_time_millis_testing: 8.89, usercpu_time_millis_training: 75.578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, f_measure: 0.8282, kb_relative_information_score: -2671.152, mean_absolute_error: 0.1894, 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: 0.9168, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2993, root_relative_squared_error: 0.9311, scimark_benchmark: 1855.4813, usercpu_time_millis: 148.352, usercpu_time_millis_testing: 14.35, usercpu_time_millis_training: 134.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8958, f_measure: 0.8612, kappa: 0.2207, kb_relative_information_score: 4443.6774, mean_absolute_error: 0.1531, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8677, predictive_accuracy: 0.8909, prior_entropy: 0.5207, recall: 0.8909, relative_absolute_error: 0.7412, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.272, root_relative_squared_error: 0.8462, scimark_benchmark: 1841.0925, usercpu_time_millis: 161.574, usercpu_time_millis_testing: 11.332, usercpu_time_millis_training: 150.242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8505, f_measure: 0.8282, kb_relative_information_score: -1284.3009, mean_absolute_error: 0.1682, 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: 0.8141, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2878, root_relative_squared_error: 0.8956, scimark_benchmark: 1846.7651, usercpu_time_millis: 126.76, usercpu_time_millis_testing: 4.039, usercpu_time_millis_training: 122.721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9284, f_measure: 0.9004, kappa: 0.488, kb_relative_information_score: 8217.2575, mean_absolute_error: 0.133, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8977, predictive_accuracy: 0.9072, prior_entropy: 0.5207, recall: 0.9072, relative_absolute_error: 0.6439, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2524, root_relative_squared_error: 0.7852, scimark_benchmark: 1850.2875, usercpu_time_millis: 67.529, usercpu_time_millis_testing: 3.157, usercpu_time_millis_training: 64.372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9161, f_measure: 0.8639, kappa: 0.2288, kb_relative_information_score: 4676.4199, mean_absolute_error: 0.153, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8852, predictive_accuracy: 0.8961, prior_entropy: 0.5207, recall: 0.8961, relative_absolute_error: 0.7407, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2648, root_relative_squared_error: 0.824, scimark_benchmark: 1836.1651, usercpu_time_millis: 149.801, usercpu_time_millis_testing: 16.659, usercpu_time_millis_training: 133.142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9233, f_measure: 0.8898, kappa: 0.4139, kb_relative_information_score: 6914.428, mean_absolute_error: 0.1384, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8885, predictive_accuracy: 0.9026, prior_entropy: 0.5207, recall: 0.9026, relative_absolute_error: 0.67, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2572, root_relative_squared_error: 0.8002, scimark_benchmark: 1774.7762, usercpu_time_millis: 127.409, usercpu_time_millis_testing: 4.748, usercpu_time_millis_training: 122.661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9277, f_measure: 0.9008, kappa: 0.4912, kb_relative_information_score: 8708.3462, mean_absolute_error: 0.1319, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8981, predictive_accuracy: 0.9073, prior_entropy: 0.5207, recall: 0.9073, relative_absolute_error: 0.6385, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2527, root_relative_squared_error: 0.7862, scimark_benchmark: 1727.044, usercpu_time_millis: 137.192, usercpu_time_millis_testing: 6.051, usercpu_time_millis_training: 131.141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8282, kb_relative_information_score: -12.1305, 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: 779.3782, usercpu_time_millis: 152.476, usercpu_time_millis_testing: 9.826, usercpu_time_millis_training: 142.65,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8294, f_measure: 0.8282, kb_relative_information_score: -537.4826, mean_absolute_error: 0.1838, 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: 0.8894, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2956, root_relative_squared_error: 0.9197, scimark_benchmark: 1852.9988, usercpu_time_millis: 122.204, usercpu_time_millis_testing: 9.434, usercpu_time_millis_training: 112.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9163, f_measure: 0.8604, kappa: 0.2053, kb_relative_information_score: 4503.683, mean_absolute_error: 0.1565, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.885, predictive_accuracy: 0.8948, prior_entropy: 0.5207, recall: 0.8948, relative_absolute_error: 0.7572, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2662, root_relative_squared_error: 0.8284, scimark_benchmark: 1728.2412, usercpu_time_millis: 154.373, usercpu_time_millis_testing: 8.703, usercpu_time_millis_training: 145.67,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9247, f_measure: 0.8737, kappa: 0.2953, kb_relative_information_score: 6541.7271, mean_absolute_error: 0.1475, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8847, predictive_accuracy: 0.899, prior_entropy: 0.5207, recall: 0.899, relative_absolute_error: 0.7137, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2585, root_relative_squared_error: 0.8042, scimark_benchmark: 1723.6152, usercpu_time_millis: 154.242, usercpu_time_millis_testing: 9.727, usercpu_time_millis_training: 144.515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8645, f_measure: 0.8282, kb_relative_information_score: -2719.2505, 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: 0.8397, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2884, root_relative_squared_error: 0.8972, scimark_benchmark: 1740.0638, usercpu_time_millis: 133.346, usercpu_time_millis_testing: 7.196, usercpu_time_millis_training: 126.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8821, f_measure: 0.8388, kappa: 0.068, kb_relative_information_score: 4194.7278, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8685, predictive_accuracy: 0.8861, prior_entropy: 0.5207, recall: 0.8861, relative_absolute_error: 0.7976, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2777, root_relative_squared_error: 0.864, scimark_benchmark: 1714.6592, usercpu_time_millis: 153.35, usercpu_time_millis_testing: 10.75, usercpu_time_millis_training: 142.6,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9042, f_measure: 0.86, kappa: 0.2103, kb_relative_information_score: 3237.1463, mean_absolute_error: 0.1531, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8702, predictive_accuracy: 0.8916, prior_entropy: 0.5207, recall: 0.8916, relative_absolute_error: 0.7408, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2695, root_relative_squared_error: 0.8384, scimark_benchmark: 1704.7361, usercpu_time_millis: 146.869, usercpu_time_millis_testing: 4.116, usercpu_time_millis_training: 142.753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8542, f_measure: 0.8282, kb_relative_information_score: -1194.872, 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: 0.8239, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2871, root_relative_squared_error: 0.8934, scimark_benchmark: 1820.9468, usercpu_time_millis: 55.048, usercpu_time_millis_testing: 2.456, usercpu_time_millis_training: 52.592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8348, f_measure: 0.8282, kb_relative_information_score: 704.1883, 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: 0.8597, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2917, root_relative_squared_error: 0.9077, scimark_benchmark: 1734.2259, usercpu_time_millis: 122.133, usercpu_time_millis_testing: 7.082, usercpu_time_millis_training: 115.051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9247, f_measure: 0.871, kappa: 0.2768, kb_relative_information_score: 6588.7107, mean_absolute_error: 0.147, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8849, predictive_accuracy: 0.8983, prior_entropy: 0.5207, recall: 0.8983, relative_absolute_error: 0.7115, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2586, root_relative_squared_error: 0.8046, scimark_benchmark: 1733.7613, usercpu_time_millis: 129.802, usercpu_time_millis_testing: 6.225, usercpu_time_millis_training: 123.577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.848, f_measure: 0.8282, kb_relative_information_score: -2088.46, mean_absolute_error: 0.1972, 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: 0.9546, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3084, root_relative_squared_error: 0.9595, scimark_benchmark: 1762.141, usercpu_time_millis: 109.711, usercpu_time_millis_testing: 12.807, usercpu_time_millis_training: 96.904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.915, f_measure: 0.8866, kappa: 0.3992, kb_relative_information_score: 6037.0719, mean_absolute_error: 0.1429, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8841, predictive_accuracy: 0.8991, prior_entropy: 0.5207, recall: 0.8991, relative_absolute_error: 0.6919, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2627, root_relative_squared_error: 0.8173, scimark_benchmark: 1718.18, usercpu_time_millis: 145.446, usercpu_time_millis_testing: 5.546, usercpu_time_millis_training: 139.9,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8959, f_measure: 0.8282, kb_relative_information_score: 1655.3656, mean_absolute_error: 0.1718, 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: 0.8315, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2802, root_relative_squared_error: 0.8717, scimark_benchmark: 1738.3914, usercpu_time_millis: 128.592, usercpu_time_millis_testing: 9.182, usercpu_time_millis_training: 119.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9164, f_measure: 0.8865, kappa: 0.3934, kb_relative_information_score: 6033.5214, mean_absolute_error: 0.1413, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8851, predictive_accuracy: 0.9004, prior_entropy: 0.5207, recall: 0.9004, relative_absolute_error: 0.6837, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2617, root_relative_squared_error: 0.8144, scimark_benchmark: 1743.1966, usercpu_time_millis: 898.452, usercpu_time_millis_testing: 25.305, usercpu_time_millis_training: 873.147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9163, f_measure: 0.8849, kappa: 0.3861, kb_relative_information_score: 6000.4044, mean_absolute_error: 0.1428, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8829, predictive_accuracy: 0.8988, prior_entropy: 0.5207, recall: 0.8988, relative_absolute_error: 0.691, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2623, root_relative_squared_error: 0.8161, scimark_benchmark: 1909.4278, usercpu_time_millis: 142.012, usercpu_time_millis_testing: 7.825, usercpu_time_millis_training: 134.187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9284, f_measure: 0.8958, kappa: 0.4534, kb_relative_information_score: 8487.25, mean_absolute_error: 0.1341, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8937, predictive_accuracy: 0.9057, prior_entropy: 0.5207, recall: 0.9057, relative_absolute_error: 0.649, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2523, root_relative_squared_error: 0.785, scimark_benchmark: 1814.2277, usercpu_time_millis: 39.512, usercpu_time_millis_testing: 1.901, usercpu_time_millis_training: 37.611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9105, f_measure: 0.8462, kappa: 0.114, kb_relative_information_score: 3789.9813, mean_absolute_error: 0.1716, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8821, predictive_accuracy: 0.8895, prior_entropy: 0.5207, recall: 0.8895, relative_absolute_error: 0.8308, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.278, root_relative_squared_error: 0.865, scimark_benchmark: 1948.9013, usercpu_time_millis: 106.331, usercpu_time_millis_testing: 10.524, usercpu_time_millis_training: 95.807,

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