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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: 0.926, f_measure: 0.8984, kappa: 0.4797, kb_relative_information_score: 9219.5767, mean_absolute_error: 0.1297, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8954, predictive_accuracy: 0.9048, prior_entropy: 0.5207, recall: 0.9048, relative_absolute_error: 0.6276, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2546, root_relative_squared_error: 0.7922, scimark_benchmark: 1281.1578, usercpu_time_millis: 8143.407, usercpu_time_millis_testing: 118.355, usercpu_time_millis_training: 8025.052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9297, f_measure: 0.8941, kappa: 0.4398, kb_relative_information_score: 8110.0501, mean_absolute_error: 0.1352, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8929, predictive_accuracy: 0.9055, prior_entropy: 0.5207, recall: 0.9055, relative_absolute_error: 0.6543, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2532, root_relative_squared_error: 0.7879, scimark_benchmark: 1290.0521, usercpu_time_millis: 1540.714, usercpu_time_millis_testing: 54.577, usercpu_time_millis_training: 1486.137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, f_measure: 0.8945, kappa: 0.4482, kb_relative_information_score: 7581.4279, mean_absolute_error: 0.1358, 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: 0.6571, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2563, root_relative_squared_error: 0.7974, scimark_benchmark: 1277.516, usercpu_time_millis: 5467.687, usercpu_time_millis_testing: 108.755, usercpu_time_millis_training: 5358.932,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9319, f_measure: 0.9008, kappa: 0.4924, kb_relative_information_score: 9642.1002, mean_absolute_error: 0.128, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.898, predictive_accuracy: 0.907, prior_entropy: 0.5207, recall: 0.907, relative_absolute_error: 0.6194, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2504, root_relative_squared_error: 0.779, scimark_benchmark: 1307.6827, usercpu_time_millis: 748.848, usercpu_time_millis_testing: 26.91, usercpu_time_millis_training: 721.938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9266, f_measure: 0.8982, kappa: 0.4734, kb_relative_information_score: 8697.1037, mean_absolute_error: 0.1316, 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: 0.6367, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.254, root_relative_squared_error: 0.7904, scimark_benchmark: 1287.5474, usercpu_time_millis: 5482.009, usercpu_time_millis_testing: 118.184, usercpu_time_millis_training: 5363.825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9313, f_measure: 0.8987, kappa: 0.4772, kb_relative_information_score: 9396.3262, mean_absolute_error: 0.1298, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8959, predictive_accuracy: 0.9061, prior_entropy: 0.5207, recall: 0.9061, relative_absolute_error: 0.6281, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2512, root_relative_squared_error: 0.7816, scimark_benchmark: 1287.36, usercpu_time_millis: 1442.297, usercpu_time_millis_testing: 40.515, usercpu_time_millis_training: 1401.782,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9158, f_measure: 0.8832, kappa: 0.373, kb_relative_information_score: 5619.9389, mean_absolute_error: 0.145, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8817, predictive_accuracy: 0.8983, prior_entropy: 0.5207, recall: 0.8983, relative_absolute_error: 0.7018, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2631, root_relative_squared_error: 0.8186, scimark_benchmark: 1297.3626, usercpu_time_millis: 444.041, usercpu_time_millis_testing: 19.908, usercpu_time_millis_training: 424.133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9223, f_measure: 0.895, kappa: 0.4577, kb_relative_information_score: 7948.3026, mean_absolute_error: 0.1339, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8919, predictive_accuracy: 0.9028, prior_entropy: 0.5207, recall: 0.9028, relative_absolute_error: 0.6481, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2574, root_relative_squared_error: 0.801, scimark_benchmark: 1288.1959, usercpu_time_millis: 330.329, usercpu_time_millis_testing: 5.471, usercpu_time_millis_training: 324.858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9255, f_measure: 0.8973, kappa: 0.4687, kb_relative_information_score: 8454.7559, mean_absolute_error: 0.1324, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8945, predictive_accuracy: 0.9052, prior_entropy: 0.5207, recall: 0.9052, relative_absolute_error: 0.641, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2548, root_relative_squared_error: 0.7928, scimark_benchmark: 1309.0279, usercpu_time_millis: 1785.346, usercpu_time_millis_testing: 29.098, usercpu_time_millis_training: 1756.248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9228, f_measure: 0.8874, kappa: 0.3961, kb_relative_information_score: 6682.6778, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.887, predictive_accuracy: 0.9019, prior_entropy: 0.5207, recall: 0.9019, relative_absolute_error: 0.6774, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.258, root_relative_squared_error: 0.8029, scimark_benchmark: 1285.4935, usercpu_time_millis: 255.518, usercpu_time_millis_testing: 8.94, usercpu_time_millis_training: 246.578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9194, f_measure: 0.88, kappa: 0.3397, kb_relative_information_score: 5426.0109, mean_absolute_error: 0.1462, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8858, predictive_accuracy: 0.9008, prior_entropy: 0.5207, recall: 0.9008, relative_absolute_error: 0.7074, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2612, root_relative_squared_error: 0.8126, scimark_benchmark: 1287.4093, usercpu_time_millis: 2086.839, usercpu_time_millis_testing: 93.796, usercpu_time_millis_training: 1993.043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.929, f_measure: 0.8988, kappa: 0.4785, kb_relative_information_score: 8855.7656, mean_absolute_error: 0.1319, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.896, predictive_accuracy: 0.9061, prior_entropy: 0.5207, recall: 0.9061, relative_absolute_error: 0.6382, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2527, root_relative_squared_error: 0.7862, scimark_benchmark: 1277.1756, usercpu_time_millis: 2070.767, usercpu_time_millis_testing: 82.311, usercpu_time_millis_training: 1988.456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9296, f_measure: 0.8985, kappa: 0.4731, kb_relative_information_score: 8695.1906, mean_absolute_error: 0.1325, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8959, predictive_accuracy: 0.9066, prior_entropy: 0.5207, recall: 0.9066, relative_absolute_error: 0.6411, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2523, root_relative_squared_error: 0.7848, scimark_benchmark: 1282.3613, usercpu_time_millis: 381.994, usercpu_time_millis_testing: 21.902, usercpu_time_millis_training: 360.092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9091, f_measure: 0.8467, kappa: 0.1171, kb_relative_information_score: 3816.8672, mean_absolute_error: 0.1712, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8829, predictive_accuracy: 0.8897, prior_entropy: 0.5207, recall: 0.8897, relative_absolute_error: 0.8287, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.278, root_relative_squared_error: 0.8651, scimark_benchmark: 1288.8083, usercpu_time_millis: 213.175, usercpu_time_millis_testing: 14.675, usercpu_time_millis_training: 198.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9266, f_measure: 0.8932, kappa: 0.4387, kb_relative_information_score: 7823.7859, mean_absolute_error: 0.1353, 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: 0.655, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.255, root_relative_squared_error: 0.7933, scimark_benchmark: 1283.0492, usercpu_time_millis: 1803.77, usercpu_time_millis_testing: 49.021, usercpu_time_millis_training: 1754.749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9302, f_measure: 0.8985, kappa: 0.474, kb_relative_information_score: 9211.3707, mean_absolute_error: 0.1305, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8959, predictive_accuracy: 0.9064, prior_entropy: 0.5207, recall: 0.9064, relative_absolute_error: 0.6316, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2519, root_relative_squared_error: 0.7838, scimark_benchmark: 1288.4185, usercpu_time_millis: 754.299, usercpu_time_millis_testing: 34.694, usercpu_time_millis_training: 719.605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9193, f_measure: 0.865, kappa: 0.2365, kb_relative_information_score: 5411.2149, mean_absolute_error: 0.1528, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8844, predictive_accuracy: 0.8963, prior_entropy: 0.5207, recall: 0.8963, relative_absolute_error: 0.7396, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2631, root_relative_squared_error: 0.8185, scimark_benchmark: 1304.4951, usercpu_time_millis: 252.104, usercpu_time_millis_testing: 15.677, usercpu_time_millis_training: 236.427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9244, f_measure: 0.8937, kappa: 0.4423, kb_relative_information_score: 7508.4279, mean_absolute_error: 0.1362, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8913, predictive_accuracy: 0.9038, prior_entropy: 0.5207, recall: 0.9038, relative_absolute_error: 0.6593, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2561, root_relative_squared_error: 0.7969, scimark_benchmark: 1306.7919, usercpu_time_millis: 2680.086, usercpu_time_millis_testing: 111.166, usercpu_time_millis_training: 2568.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9274, f_measure: 0.9005, kappa: 0.4882, kb_relative_information_score: 8638.0516, mean_absolute_error: 0.1326, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8978, predictive_accuracy: 0.9073, prior_entropy: 0.5207, recall: 0.9073, relative_absolute_error: 0.6416, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2528, root_relative_squared_error: 0.7866, scimark_benchmark: 1282.8977, usercpu_time_millis: 1907.649, usercpu_time_millis_testing: 109.464, usercpu_time_millis_training: 1798.185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9234, f_measure: 0.8907, kappa: 0.4189, kb_relative_information_score: 7033.5108, mean_absolute_error: 0.1385, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8894, predictive_accuracy: 0.9032, prior_entropy: 0.5207, recall: 0.9032, relative_absolute_error: 0.6702, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2573, root_relative_squared_error: 0.8004, scimark_benchmark: 1287.6527, usercpu_time_millis: 2210.809, usercpu_time_millis_testing: 107.081, usercpu_time_millis_training: 2103.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9258, f_measure: 0.8979, kappa: 0.4736, kb_relative_information_score: 8426.5469, mean_absolute_error: 0.133, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.895, predictive_accuracy: 0.9052, prior_entropy: 0.5207, recall: 0.9052, relative_absolute_error: 0.6438, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.255, root_relative_squared_error: 0.7933, scimark_benchmark: 1360.1186, usercpu_time_millis: 5468.847, usercpu_time_millis_testing: 132.972, usercpu_time_millis_training: 5335.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8809, f_measure: 0.8929, kappa: 0.4573, kb_relative_information_score: 6903.6782, mean_absolute_error: 0.1294, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8896, predictive_accuracy: 0.8983, prior_entropy: 0.5207, recall: 0.8983, relative_absolute_error: 0.6265, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2688, root_relative_squared_error: 0.8365, scimark_benchmark: 1279.5273, usercpu_time_millis: 24.448, usercpu_time_millis_testing: 1.082, usercpu_time_millis_training: 23.366,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9102, f_measure: 0.8454, kappa: 0.1088, kb_relative_information_score: 3809.2249, mean_absolute_error: 0.1717, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8826, predictive_accuracy: 0.8893, prior_entropy: 0.5207, recall: 0.8893, relative_absolute_error: 0.8308, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2783, root_relative_squared_error: 0.866, scimark_benchmark: 1307.2709, usercpu_time_millis: 1206.569, usercpu_time_millis_testing: 89.977, usercpu_time_millis_training: 1116.592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9316, f_measure: 0.8985, kappa: 0.4719, kb_relative_information_score: 9067.5962, mean_absolute_error: 0.1317, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8962, predictive_accuracy: 0.9071, prior_entropy: 0.5207, recall: 0.9071, relative_absolute_error: 0.6374, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2509, root_relative_squared_error: 0.7807, scimark_benchmark: 1290.0552, usercpu_time_millis: 718.258, usercpu_time_millis_testing: 41.996, usercpu_time_millis_training: 676.262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9234, f_measure: 0.8905, kappa: 0.4184, kb_relative_information_score: 7040.4149, mean_absolute_error: 0.1374, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.889, predictive_accuracy: 0.9029, prior_entropy: 0.5207, recall: 0.9029, relative_absolute_error: 0.6651, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2573, root_relative_squared_error: 0.8005, scimark_benchmark: 1285.306, usercpu_time_millis: 2276.726, usercpu_time_millis_testing: 59.892, usercpu_time_millis_training: 2216.834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9184, f_measure: 0.8861, kappa: 0.3937, kb_relative_information_score: 6461.5461, mean_absolute_error: 0.1405, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8839, predictive_accuracy: 0.8993, prior_entropy: 0.5207, recall: 0.8993, relative_absolute_error: 0.6799, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2607, root_relative_squared_error: 0.8111, scimark_benchmark: 1310.4089, usercpu_time_millis: 2682.11, usercpu_time_millis_testing: 97.282, usercpu_time_millis_training: 2584.828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9181, f_measure: 0.8826, kappa: 0.3604, kb_relative_information_score: 5523.4185, mean_absolute_error: 0.1442, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8851, predictive_accuracy: 0.9008, prior_entropy: 0.5207, recall: 0.9008, relative_absolute_error: 0.6979, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2615, root_relative_squared_error: 0.8135, scimark_benchmark: 1300.8046, usercpu_time_millis: 2032.348, usercpu_time_millis_testing: 64.24, usercpu_time_millis_training: 1968.108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9238, f_measure: 0.8958, kappa: 0.4586, kb_relative_information_score: 7732.2303, mean_absolute_error: 0.1351, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.893, predictive_accuracy: 0.9044, prior_entropy: 0.5207, recall: 0.9044, relative_absolute_error: 0.6541, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2564, root_relative_squared_error: 0.7978, scimark_benchmark: 1333.1431, usercpu_time_millis: 4807.132, usercpu_time_millis_testing: 87.246, usercpu_time_millis_training: 4719.886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9143, f_measure: 0.8881, kappa: 0.4112, kb_relative_information_score: 6149.2706, mean_absolute_error: 0.1418, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8851, predictive_accuracy: 0.8993, prior_entropy: 0.5207, recall: 0.8993, relative_absolute_error: 0.6865, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2628, root_relative_squared_error: 0.8177, scimark_benchmark: 1306.5164, usercpu_time_millis: 1336.062, usercpu_time_millis_testing: 50.742, usercpu_time_millis_training: 1285.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9263, f_measure: 0.8993, kappa: 0.4813, kb_relative_information_score: 8024.6002, mean_absolute_error: 0.135, 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: 0.6536, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2542, root_relative_squared_error: 0.7909, scimark_benchmark: 1303.3887, usercpu_time_millis: 1008.652, usercpu_time_millis_testing: 48.799, usercpu_time_millis_training: 959.853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.929, f_measure: 0.9005, kappa: 0.4913, kb_relative_information_score: 9308.1613, mean_absolute_error: 0.1297, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8977, predictive_accuracy: 0.9066, prior_entropy: 0.5207, recall: 0.9066, relative_absolute_error: 0.6277, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2523, root_relative_squared_error: 0.7851, scimark_benchmark: 1353.6711, usercpu_time_millis: 1926.22, usercpu_time_millis_testing: 54.807, usercpu_time_millis_training: 1871.413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9257, f_measure: 0.8967, kappa: 0.466, kb_relative_information_score: 8307.3932, mean_absolute_error: 0.1334, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8938, predictive_accuracy: 0.9045, prior_entropy: 0.5207, recall: 0.9045, relative_absolute_error: 0.6457, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2552, root_relative_squared_error: 0.7939, scimark_benchmark: 1323.4964, usercpu_time_millis: 4099.14, usercpu_time_millis_testing: 96.693, usercpu_time_millis_training: 4002.447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.926, f_measure: 0.8983, kappa: 0.4739, kb_relative_information_score: 8628.1999, mean_absolute_error: 0.1324, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8955, predictive_accuracy: 0.906, prior_entropy: 0.5207, recall: 0.906, relative_absolute_error: 0.6409, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2542, root_relative_squared_error: 0.7909, scimark_benchmark: 1336.3904, usercpu_time_millis: 1729.154, usercpu_time_millis_testing: 67.964, usercpu_time_millis_training: 1661.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.929, f_measure: 0.8931, kappa: 0.434, kb_relative_information_score: 8126.5051, mean_absolute_error: 0.1357, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8918, predictive_accuracy: 0.9048, prior_entropy: 0.5207, recall: 0.9048, relative_absolute_error: 0.6566, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2536, root_relative_squared_error: 0.789, scimark_benchmark: 1348.9256, usercpu_time_millis: 1678.875, usercpu_time_millis_testing: 64.683, usercpu_time_millis_training: 1614.192,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.917, f_measure: 0.8608, kappa: 0.2079, kb_relative_information_score: 4696.7655, mean_absolute_error: 0.1558, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8849, predictive_accuracy: 0.895, prior_entropy: 0.5207, recall: 0.895, relative_absolute_error: 0.7539, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2656, root_relative_squared_error: 0.8264, scimark_benchmark: 1354.5037, usercpu_time_millis: 743.5, usercpu_time_millis_testing: 39.736, usercpu_time_millis_training: 703.764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.929, f_measure: 0.8986, kappa: 0.4756, kb_relative_information_score: 8887.157, mean_absolute_error: 0.1315, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8959, predictive_accuracy: 0.9063, prior_entropy: 0.5207, recall: 0.9063, relative_absolute_error: 0.6365, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2524, root_relative_squared_error: 0.7854, scimark_benchmark: 1329.4242, usercpu_time_millis: 362.616, usercpu_time_millis_testing: 16.67, usercpu_time_millis_training: 345.946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9232, f_measure: 0.868, kappa: 0.256, kb_relative_information_score: 6200.5818, mean_absolute_error: 0.149, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8845, predictive_accuracy: 0.8973, prior_entropy: 0.5207, recall: 0.8973, relative_absolute_error: 0.7212, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2601, root_relative_squared_error: 0.8093, scimark_benchmark: 1326.3403, usercpu_time_millis: 1485.872, usercpu_time_millis_testing: 87.963, usercpu_time_millis_training: 1397.909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.928, f_measure: 0.8994, kappa: 0.4825, kb_relative_information_score: 8921.1384, mean_absolute_error: 0.1315, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8966, predictive_accuracy: 0.9063, prior_entropy: 0.5207, recall: 0.9063, relative_absolute_error: 0.6366, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2532, root_relative_squared_error: 0.7879, scimark_benchmark: 1291.5536, usercpu_time_millis: 3857.948, usercpu_time_millis_testing: 97.428, usercpu_time_millis_training: 3760.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8987, f_measure: 0.8319, kappa: 0.0237, kb_relative_information_score: 2408.2659, mean_absolute_error: 0.1764, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8782, predictive_accuracy: 0.8843, prior_entropy: 0.5207, recall: 0.8843, relative_absolute_error: 0.8539, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2837, root_relative_squared_error: 0.8827, scimark_benchmark: 1322.2886, usercpu_time_millis: 504.211, usercpu_time_millis_testing: 36.006, usercpu_time_millis_training: 468.205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.8816, kappa: 0.3612, kb_relative_information_score: 5322.2752, mean_absolute_error: 0.1469, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8807, predictive_accuracy: 0.8979, prior_entropy: 0.5207, recall: 0.8979, relative_absolute_error: 0.7109, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2646, root_relative_squared_error: 0.8233, scimark_benchmark: 1334.6371, usercpu_time_millis: 136.971, usercpu_time_millis_testing: 5.507, usercpu_time_millis_training: 131.464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9263, f_measure: 0.8967, kappa: 0.465, kb_relative_information_score: 8450.8174, mean_absolute_error: 0.133, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8939, predictive_accuracy: 0.9048, prior_entropy: 0.5207, recall: 0.9048, relative_absolute_error: 0.6438, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2545, root_relative_squared_error: 0.7917, scimark_benchmark: 1347.6635, usercpu_time_millis: 267.632, usercpu_time_millis_testing: 6.071, usercpu_time_millis_training: 261.561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9298, f_measure: 0.8979, kappa: 0.4692, kb_relative_information_score: 8712.4745, mean_absolute_error: 0.1322, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8954, predictive_accuracy: 0.9064, prior_entropy: 0.5207, recall: 0.9064, relative_absolute_error: 0.6398, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2526, root_relative_squared_error: 0.7858, scimark_benchmark: 1318.3354, usercpu_time_millis: 1206.398, usercpu_time_millis_testing: 40.583, usercpu_time_millis_training: 1165.815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9315, f_measure: 0.9021, kappa: 0.5005, kb_relative_information_score: 9853.8994, mean_absolute_error: 0.1273, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8993, predictive_accuracy: 0.9077, prior_entropy: 0.5207, recall: 0.9077, relative_absolute_error: 0.6162, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2503, root_relative_squared_error: 0.7789, scimark_benchmark: 1292.6859, usercpu_time_millis: 2795.689, usercpu_time_millis_testing: 64.831, usercpu_time_millis_training: 2730.858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9282, f_measure: 0.8995, kappa: 0.483, kb_relative_information_score: 8542.7378, mean_absolute_error: 0.1329, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8967, predictive_accuracy: 0.9064, prior_entropy: 0.5207, recall: 0.9064, relative_absolute_error: 0.6431, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.253, root_relative_squared_error: 0.7872, scimark_benchmark: 1334.2714, usercpu_time_millis: 986.161, usercpu_time_millis_testing: 43.73, usercpu_time_millis_training: 942.431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9253, f_measure: 0.896, kappa: 0.4593, kb_relative_information_score: 8068.3492, mean_absolute_error: 0.1339, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8934, predictive_accuracy: 0.9047, prior_entropy: 0.5207, recall: 0.9047, relative_absolute_error: 0.6481, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2551, root_relative_squared_error: 0.7937, scimark_benchmark: 1327.8163, usercpu_time_millis: 1941.831, usercpu_time_millis_testing: 57.314, usercpu_time_millis_training: 1884.517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9326, f_measure: 0.9019, kappa: 0.4999, kb_relative_information_score: 9921.9045, mean_absolute_error: 0.1271, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8992, predictive_accuracy: 0.9076, prior_entropy: 0.5207, recall: 0.9076, relative_absolute_error: 0.6152, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2499, root_relative_squared_error: 0.7774, scimark_benchmark: 1351.8746, usercpu_time_millis: 1676.402, usercpu_time_millis_testing: 44.43, usercpu_time_millis_training: 1631.972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9333, f_measure: 0.9016, kappa: 0.4954, kb_relative_information_score: 9987.0213, mean_absolute_error: 0.1275, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8989, predictive_accuracy: 0.908, prior_entropy: 0.5207, recall: 0.908, relative_absolute_error: 0.6169, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2496, root_relative_squared_error: 0.7767, scimark_benchmark: 1331.7166, usercpu_time_millis: 1156.739, usercpu_time_millis_testing: 46.466, usercpu_time_millis_training: 1110.273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9246, f_measure: 0.8968, kappa: 0.4638, kb_relative_information_score: 7854.989, mean_absolute_error: 0.1359, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8942, predictive_accuracy: 0.9053, prior_entropy: 0.5207, recall: 0.9053, relative_absolute_error: 0.6578, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2554, root_relative_squared_error: 0.7946, scimark_benchmark: 1337.543, usercpu_time_millis: 708.621, usercpu_time_millis_testing: 44.395, usercpu_time_millis_training: 664.226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9303, f_measure: 0.9003, kappa: 0.4874, kb_relative_information_score: 9448.4287, mean_absolute_error: 0.1293, 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: 0.6258, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2515, root_relative_squared_error: 0.7826, scimark_benchmark: 1281.3511, usercpu_time_millis: 2960.579, usercpu_time_millis_testing: 73.502, usercpu_time_millis_training: 2887.077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9264, f_measure: 0.8969, kappa: 0.4646, kb_relative_information_score: 8291.8216, mean_absolute_error: 0.1333, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8942, predictive_accuracy: 0.9052, prior_entropy: 0.5207, recall: 0.9052, relative_absolute_error: 0.6453, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2545, root_relative_squared_error: 0.7918, scimark_benchmark: 1302.4509, usercpu_time_millis: 4214.27, usercpu_time_millis_testing: 125.922, usercpu_time_millis_training: 4088.348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9255, f_measure: 0.8975, kappa: 0.4698, kb_relative_information_score: 8486.5568, mean_absolute_error: 0.1325, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8947, predictive_accuracy: 0.9053, prior_entropy: 0.5207, recall: 0.9053, relative_absolute_error: 0.6412, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2548, root_relative_squared_error: 0.7926, scimark_benchmark: 1292.9418, usercpu_time_millis: 1739.781, usercpu_time_millis_testing: 48.152, usercpu_time_millis_training: 1691.629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9143, f_measure: 0.8941, kappa: 0.4498, kb_relative_information_score: 7351.3031, mean_absolute_error: 0.1349, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8911, predictive_accuracy: 0.9027, prior_entropy: 0.5207, recall: 0.9027, relative_absolute_error: 0.653, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2592, root_relative_squared_error: 0.8064, scimark_benchmark: 1338.7739, usercpu_time_millis: 37.166, usercpu_time_millis_testing: 2.468, usercpu_time_millis_training: 34.698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.931, f_measure: 0.9014, kappa: 0.4974, kb_relative_information_score: 10253.8179, mean_absolute_error: 0.1259, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8987, predictive_accuracy: 0.9071, prior_entropy: 0.5207, recall: 0.9071, relative_absolute_error: 0.6094, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2506, root_relative_squared_error: 0.7797, scimark_benchmark: 1293.2697, usercpu_time_millis: 2694.727, usercpu_time_millis_testing: 49.562, usercpu_time_millis_training: 2645.165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9304, f_measure: 0.9009, kappa: 0.4908, kb_relative_information_score: 9614.4814, mean_absolute_error: 0.1285, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8982, predictive_accuracy: 0.9075, prior_entropy: 0.5207, recall: 0.9075, relative_absolute_error: 0.6217, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2513, root_relative_squared_error: 0.782, scimark_benchmark: 1303.3856, usercpu_time_millis: 8860.233, usercpu_time_millis_testing: 139.981, usercpu_time_millis_training: 8720.252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9232, f_measure: 0.8817, kappa: 0.3539, kb_relative_information_score: 6382.306, mean_absolute_error: 0.1426, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8848, predictive_accuracy: 0.9006, prior_entropy: 0.5207, recall: 0.9006, relative_absolute_error: 0.6901, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2584, root_relative_squared_error: 0.804, scimark_benchmark: 1271.9686, usercpu_time_millis: 529.914, usercpu_time_millis_testing: 26.565, usercpu_time_millis_training: 503.349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9197, f_measure: 0.892, kappa: 0.4295, kb_relative_information_score: 6722.6199, mean_absolute_error: 0.1396, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.89, predictive_accuracy: 0.9033, prior_entropy: 0.5207, recall: 0.9033, relative_absolute_error: 0.6758, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2586, root_relative_squared_error: 0.8047, scimark_benchmark: 1282.9064, usercpu_time_millis: 458.019, usercpu_time_millis_testing: 25.182, usercpu_time_millis_training: 432.837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9299, f_measure: 0.9003, kappa: 0.4903, kb_relative_information_score: 9715.9623, mean_absolute_error: 0.1283, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8975, predictive_accuracy: 0.9065, prior_entropy: 0.5207, recall: 0.9065, relative_absolute_error: 0.6209, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2518, root_relative_squared_error: 0.7834, scimark_benchmark: 1279.0356, usercpu_time_millis: 514.697, usercpu_time_millis_testing: 11.272, usercpu_time_millis_training: 503.425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9287, f_measure: 0.9011, kappa: 0.4959, kb_relative_information_score: 9489.6974, mean_absolute_error: 0.1287, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8983, predictive_accuracy: 0.9068, prior_entropy: 0.5207, recall: 0.9068, relative_absolute_error: 0.6227, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2517, root_relative_squared_error: 0.7832, scimark_benchmark: 1282.3748, usercpu_time_millis: 307.972, usercpu_time_millis_testing: 8.284, usercpu_time_millis_training: 299.688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9105, f_measure: 0.8842, kappa: 0.3774, kb_relative_information_score: 5011.3044, mean_absolute_error: 0.1463, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8833, predictive_accuracy: 0.8994, prior_entropy: 0.5207, recall: 0.8994, relative_absolute_error: 0.708, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.265, root_relative_squared_error: 0.8244, scimark_benchmark: 1291.3237, usercpu_time_millis: 423.975, usercpu_time_millis_testing: 20.122, usercpu_time_millis_training: 403.853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9257, f_measure: 0.897, kappa: 0.4667, kb_relative_information_score: 8466.0504, mean_absolute_error: 0.1326, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8943, predictive_accuracy: 0.9051, prior_entropy: 0.5207, recall: 0.9051, relative_absolute_error: 0.6417, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2546, root_relative_squared_error: 0.7922, scimark_benchmark: 1306.5342, usercpu_time_millis: 5188.462, usercpu_time_millis_testing: 125.521, usercpu_time_millis_training: 5062.941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9011, f_measure: 0.8347, kappa: 0.0412, kb_relative_information_score: 2764.7972, mean_absolute_error: 0.1755, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8775, predictive_accuracy: 0.8852, prior_entropy: 0.5207, recall: 0.8852, relative_absolute_error: 0.8496, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2827, root_relative_squared_error: 0.8795, scimark_benchmark: 1278.0029, usercpu_time_millis: 436.988, usercpu_time_millis_testing: 31.322, usercpu_time_millis_training: 405.666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9287, f_measure: 0.8995, kappa: 0.4824, kb_relative_information_score: 9206.2083, mean_absolute_error: 0.13, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8967, predictive_accuracy: 0.9065, prior_entropy: 0.5207, recall: 0.9065, relative_absolute_error: 0.6294, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2525, root_relative_squared_error: 0.7856, scimark_benchmark: 1269.1974, usercpu_time_millis: 4076.769, usercpu_time_millis_testing: 112.745, usercpu_time_millis_training: 3964.024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9276, f_measure: 0.8987, kappa: 0.4822, kb_relative_information_score: 8699.7914, mean_absolute_error: 0.1313, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8958, predictive_accuracy: 0.905, prior_entropy: 0.5207, recall: 0.905, relative_absolute_error: 0.6355, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.253, root_relative_squared_error: 0.7873, scimark_benchmark: 1290.6284, usercpu_time_millis: 890.778, usercpu_time_millis_testing: 25.527, usercpu_time_millis_training: 865.251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.933, f_measure: 0.9008, kappa: 0.4916, kb_relative_information_score: 10168.6068, mean_absolute_error: 0.1267, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.898, predictive_accuracy: 0.9071, prior_entropy: 0.5207, recall: 0.9071, relative_absolute_error: 0.6131, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2501, root_relative_squared_error: 0.7782, scimark_benchmark: 1301.6428, usercpu_time_millis: 1985.146, usercpu_time_millis_testing: 41.18, usercpu_time_millis_training: 1943.966,

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