OpenML
Supervised Classification on spambase

Supervised Classification on spambase

Task 145979 Supervised Classification spambase 58350 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, f_measure: 0.9246, kappa: 0.8415, kb_relative_information_score: 3428.3649, mean_absolute_error: 0.132, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9251, predictive_accuracy: 0.925, prior_entropy: 0.9674, recall: 0.925, relative_absolute_error: 0.2763, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2405, root_relative_squared_error: 0.4922, scimark_benchmark: 1756.0356, usercpu_time_millis: 142.2, usercpu_time_millis_testing: 1.359, usercpu_time_millis_training: 140.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.9366, kappa: 0.8668, kb_relative_information_score: 3334.5771, mean_absolute_error: 0.1474, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9372, predictive_accuracy: 0.937, prior_entropy: 0.9674, recall: 0.937, relative_absolute_error: 0.3086, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2328, root_relative_squared_error: 0.4765, scimark_benchmark: 1731.7052, usercpu_time_millis: 42.838, usercpu_time_millis_testing: 1.729, usercpu_time_millis_training: 41.109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9439, kappa: 0.8822, kb_relative_information_score: 3573.058, mean_absolute_error: 0.1193, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9442, predictive_accuracy: 0.9441, prior_entropy: 0.9674, recall: 0.9441, relative_absolute_error: 0.2498, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2121, root_relative_squared_error: 0.434, scimark_benchmark: 1832.3361, usercpu_time_millis: 45.393, usercpu_time_millis_testing: 2.124, usercpu_time_millis_training: 43.269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9694, f_measure: 0.9192, kappa: 0.8295, kb_relative_information_score: 2231.0946, mean_absolute_error: 0.2759, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9215, predictive_accuracy: 0.92, prior_entropy: 0.9674, recall: 0.92, relative_absolute_error: 0.5777, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3126, root_relative_squared_error: 0.6398, scimark_benchmark: 1736.691, usercpu_time_millis: 3.853, usercpu_time_millis_testing: 0.347, usercpu_time_millis_training: 3.506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.4573, kb_relative_information_score: 0.1418, mean_absolute_error: 0.4775, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.3672, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4886, root_relative_squared_error: 1, scimark_benchmark: 1742.0369, usercpu_time_millis: 7.102, usercpu_time_millis_testing: 0.995, usercpu_time_millis_training: 6.107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.9396, kappa: 0.8731, kb_relative_information_score: 3642.1121, mean_absolute_error: 0.1086, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9398, predictive_accuracy: 0.9398, prior_entropy: 0.9674, recall: 0.9398, relative_absolute_error: 0.2274, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2174, root_relative_squared_error: 0.4449, scimark_benchmark: 1693.7473, usercpu_time_millis: 217.757, usercpu_time_millis_testing: 1.475, usercpu_time_millis_training: 216.282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.9342, kappa: 0.8617, kb_relative_information_score: 3550.4793, mean_absolute_error: 0.1189, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9348, predictive_accuracy: 0.9346, prior_entropy: 0.9674, recall: 0.9346, relative_absolute_error: 0.2489, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2273, root_relative_squared_error: 0.4652, scimark_benchmark: 2125.9141, usercpu_time_millis: 294.798, usercpu_time_millis_testing: 2.334, usercpu_time_millis_training: 292.464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.9336, kappa: 0.8603, kb_relative_information_score: 3379.4074, mean_absolute_error: 0.1406, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9341, predictive_accuracy: 0.9339, prior_entropy: 0.9674, recall: 0.9339, relative_absolute_error: 0.2944, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2362, root_relative_squared_error: 0.4835, scimark_benchmark: 1772.9301, usercpu_time_millis: 37.309, usercpu_time_millis_testing: 1.476, usercpu_time_millis_training: 35.833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9236, f_measure: 0.8483, kappa: 0.6815, kb_relative_information_score: 2166.6136, mean_absolute_error: 0.2738, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8481, predictive_accuracy: 0.8487, prior_entropy: 0.9674, recall: 0.8487, relative_absolute_error: 0.5733, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3346, root_relative_squared_error: 0.6848, scimark_benchmark: 1716.2948, usercpu_time_millis: 24.566, usercpu_time_millis_testing: 1.238, usercpu_time_millis_training: 23.328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9446, kappa: 0.8837, kb_relative_information_score: 3673.0186, mean_absolute_error: 0.106, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9448, predictive_accuracy: 0.9448, prior_entropy: 0.9674, recall: 0.9448, relative_absolute_error: 0.222, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2106, root_relative_squared_error: 0.431, scimark_benchmark: 1715.5388, usercpu_time_millis: 13.98, usercpu_time_millis_testing: 0.27, usercpu_time_millis_training: 13.71,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.9413, kappa: 0.8767, kb_relative_information_score: 3551.9601, mean_absolute_error: 0.1201, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9416, predictive_accuracy: 0.9415, prior_entropy: 0.9674, recall: 0.9415, relative_absolute_error: 0.2514, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2211, root_relative_squared_error: 0.4525, scimark_benchmark: 1768.1676, usercpu_time_millis: 15.132, usercpu_time_millis_testing: 0.278, usercpu_time_millis_training: 14.854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.934, kappa: 0.8612, kb_relative_information_score: 3104.405, mean_absolute_error: 0.1759, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9346, predictive_accuracy: 0.9344, prior_entropy: 0.9674, recall: 0.9344, relative_absolute_error: 0.3683, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.247, root_relative_squared_error: 0.5055, scimark_benchmark: 1728.9709, usercpu_time_millis: 13.748, usercpu_time_millis_testing: 1.109, usercpu_time_millis_training: 12.639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.9376, kappa: 0.8687, kb_relative_information_score: 3589.5047, mean_absolute_error: 0.1148, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.938, predictive_accuracy: 0.9378, prior_entropy: 0.9674, recall: 0.9378, relative_absolute_error: 0.2404, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2218, root_relative_squared_error: 0.454, scimark_benchmark: 1727.2167, usercpu_time_millis: 287.637, usercpu_time_millis_testing: 2.989, usercpu_time_millis_training: 284.648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9757, f_measure: 0.9344, kappa: 0.8621, kb_relative_information_score: 3515.2319, mean_absolute_error: 0.1236, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9351, predictive_accuracy: 0.9348, prior_entropy: 0.9674, recall: 0.9348, relative_absolute_error: 0.2588, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2292, root_relative_squared_error: 0.4691, scimark_benchmark: 1999.7396, usercpu_time_millis: 99.284, usercpu_time_millis_testing: 2.053, usercpu_time_millis_training: 97.231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.9473, kappa: 0.8893, kb_relative_information_score: 3719.5719, mean_absolute_error: 0.1009, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9474, predictive_accuracy: 0.9474, prior_entropy: 0.9674, recall: 0.9474, relative_absolute_error: 0.2113, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2042, root_relative_squared_error: 0.4179, scimark_benchmark: 1745.7099, usercpu_time_millis: 65.128, usercpu_time_millis_testing: 1.151, usercpu_time_millis_training: 63.977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9688, f_measure: 0.9225, kappa: 0.837, kb_relative_information_score: 3217.0426, mean_absolute_error: 0.1583, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9234, predictive_accuracy: 0.9231, prior_entropy: 0.9674, recall: 0.9231, relative_absolute_error: 0.3315, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2532, root_relative_squared_error: 0.5182, scimark_benchmark: 1729.3292, usercpu_time_millis: 53.787, usercpu_time_millis_testing: 0.915, usercpu_time_millis_training: 52.872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9457, kappa: 0.8859, kb_relative_information_score: 3545.0522, mean_absolute_error: 0.1231, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9459, predictive_accuracy: 0.9459, prior_entropy: 0.9674, recall: 0.9459, relative_absolute_error: 0.2578, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2121, root_relative_squared_error: 0.434, scimark_benchmark: 1736.1699, usercpu_time_millis: 48.358, usercpu_time_millis_testing: 2.864, usercpu_time_millis_training: 45.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.9371, kappa: 0.8679, kb_relative_information_score: 3592.7589, mean_absolute_error: 0.1149, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9375, predictive_accuracy: 0.9374, prior_entropy: 0.9674, recall: 0.9374, relative_absolute_error: 0.2405, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2204, root_relative_squared_error: 0.451, scimark_benchmark: 1722.7088, usercpu_time_millis: 35.127, usercpu_time_millis_testing: 0.703, usercpu_time_millis_training: 34.424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.9176, kappa: 0.826, kb_relative_information_score: 2500.4976, mean_absolute_error: 0.2465, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9214, predictive_accuracy: 0.9187, prior_entropy: 0.9674, recall: 0.9187, relative_absolute_error: 0.5161, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2903, root_relative_squared_error: 0.5941, scimark_benchmark: 2009.2297, usercpu_time_millis: 14.228, usercpu_time_millis_testing: 1.631, usercpu_time_millis_training: 12.597,
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: 0.9194, f_measure: 0.8491, kappa: 0.6821, kb_relative_information_score: 2076.3299, mean_absolute_error: 0.2838, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8496, predictive_accuracy: 0.8503, prior_entropy: 0.9674, recall: 0.8503, relative_absolute_error: 0.5943, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.34, root_relative_squared_error: 0.6958, scimark_benchmark: 1723.0479, usercpu_time_millis: 8.505, usercpu_time_millis_testing: 0.594, usercpu_time_millis_training: 7.911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.968, f_measure: 0.9261, kappa: 0.8446, kb_relative_information_score: 3024.0418, mean_absolute_error: 0.1825, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9267, predictive_accuracy: 0.9265, prior_entropy: 0.9674, recall: 0.9265, relative_absolute_error: 0.3823, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2622, root_relative_squared_error: 0.5365, scimark_benchmark: 1740.5152, usercpu_time_millis: 9.116, usercpu_time_millis_testing: 0.391, usercpu_time_millis_training: 8.725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.9245, kappa: 0.8409, kb_relative_information_score: 2622.2178, mean_absolute_error: 0.2316, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9256, predictive_accuracy: 0.925, prior_entropy: 0.9674, recall: 0.925, relative_absolute_error: 0.4849, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2843, root_relative_squared_error: 0.5819, scimark_benchmark: 1698.6982, usercpu_time_millis: 5.652, usercpu_time_millis_testing: 0.328, usercpu_time_millis_training: 5.324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.4573, kb_relative_information_score: -0.3722, mean_absolute_error: 0.4776, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.3672, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4886, root_relative_squared_error: 1, scimark_benchmark: 1731.3376, usercpu_time_millis: 4.799, usercpu_time_millis_testing: 0.852, usercpu_time_millis_training: 3.947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.4573, kb_relative_information_score: 0.0594, mean_absolute_error: 0.4775, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.3672, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4886, root_relative_squared_error: 1, scimark_benchmark: 1724.1059, usercpu_time_millis: 3.274, usercpu_time_millis_testing: 0.429, usercpu_time_millis_training: 2.845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.4573, kb_relative_information_score: -0.2701, mean_absolute_error: 0.4776, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.3672, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4886, root_relative_squared_error: 1, scimark_benchmark: 1716.3734, usercpu_time_millis: 2.719, usercpu_time_millis_testing: 0.351, usercpu_time_millis_training: 2.368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9694, f_measure: 0.9246, kappa: 0.8413, kb_relative_information_score: 2476.3465, mean_absolute_error: 0.2482, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9259, predictive_accuracy: 0.9252, prior_entropy: 0.9674, recall: 0.9252, relative_absolute_error: 0.5197, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2948, root_relative_squared_error: 0.6034, scimark_benchmark: 1729.2681, usercpu_time_millis: 2.526, usercpu_time_millis_testing: 0.232, usercpu_time_millis_training: 2.294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9385, kappa: 0.8708, kb_relative_information_score: 3635.7677, mean_absolute_error: 0.1085, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9387, predictive_accuracy: 0.9387, prior_entropy: 0.9674, recall: 0.9387, relative_absolute_error: 0.2272, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2212, root_relative_squared_error: 0.4526, scimark_benchmark: 1728.4686, usercpu_time_millis: 210.493, usercpu_time_millis_testing: 1.888, usercpu_time_millis_training: 208.605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9697, f_measure: 0.9213, kappa: 0.8343, kb_relative_information_score: 3289.2375, mean_absolute_error: 0.1494, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.922, predictive_accuracy: 0.9218, prior_entropy: 0.9674, recall: 0.9218, relative_absolute_error: 0.3127, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2498, root_relative_squared_error: 0.5112, scimark_benchmark: 1705.5542, usercpu_time_millis: 138.695, usercpu_time_millis_testing: 1.35, usercpu_time_millis_training: 137.345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.949, kappa: 0.893, kb_relative_information_score: 3709.772, mean_absolute_error: 0.1026, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9491, predictive_accuracy: 0.9491, prior_entropy: 0.9674, recall: 0.9491, relative_absolute_error: 0.2149, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2019, root_relative_squared_error: 0.4131, scimark_benchmark: 1723.9607, usercpu_time_millis: 129.543, usercpu_time_millis_testing: 3.296, usercpu_time_millis_training: 126.247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.9398, kappa: 0.8735, kb_relative_information_score: 3583.5633, mean_absolute_error: 0.1166, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.94, predictive_accuracy: 0.94, prior_entropy: 0.9674, recall: 0.94, relative_absolute_error: 0.2441, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2178, root_relative_squared_error: 0.4458, scimark_benchmark: 1734.7578, usercpu_time_millis: 114.029, usercpu_time_millis_testing: 2.917, usercpu_time_millis_training: 111.112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.936, kappa: 0.8655, kb_relative_information_score: 3584.798, mean_absolute_error: 0.1152, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9364, predictive_accuracy: 0.9363, prior_entropy: 0.9674, recall: 0.9363, relative_absolute_error: 0.2413, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2228, root_relative_squared_error: 0.456, scimark_benchmark: 1714.3392, usercpu_time_millis: 117.728, usercpu_time_millis_testing: 1.669, usercpu_time_millis_training: 116.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.9336, kappa: 0.8604, kb_relative_information_score: 3555.6624, mean_absolute_error: 0.118, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9341, predictive_accuracy: 0.9339, prior_entropy: 0.9674, recall: 0.9339, relative_absolute_error: 0.2471, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2278, root_relative_squared_error: 0.4662, scimark_benchmark: 1734.1109, usercpu_time_millis: 22.507, usercpu_time_millis_testing: 0.224, usercpu_time_millis_training: 22.283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, f_measure: 0.9334, kappa: 0.8599, kb_relative_information_score: 3391.0607, mean_absolute_error: 0.139, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9339, predictive_accuracy: 0.9337, prior_entropy: 0.9674, recall: 0.9337, relative_absolute_error: 0.291, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2363, root_relative_squared_error: 0.4835, scimark_benchmark: 1722.595, usercpu_time_millis: 29.889, usercpu_time_millis_testing: 1.013, usercpu_time_millis_training: 28.876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9701, f_measure: 0.9275, kappa: 0.8474, kb_relative_information_score: 3200.3891, mean_absolute_error: 0.1619, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.928, predictive_accuracy: 0.9278, prior_entropy: 0.9674, recall: 0.9278, relative_absolute_error: 0.339, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2497, root_relative_squared_error: 0.511, scimark_benchmark: 1724.4096, usercpu_time_millis: 21.175, usercpu_time_millis_testing: 1.206, usercpu_time_millis_training: 19.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.9336, kappa: 0.8603, kb_relative_information_score: 3500.849, mean_absolute_error: 0.1257, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9341, predictive_accuracy: 0.9339, prior_entropy: 0.9674, recall: 0.9339, relative_absolute_error: 0.2633, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2288, root_relative_squared_error: 0.4682, scimark_benchmark: 1710.812, usercpu_time_millis: 30.397, usercpu_time_millis_testing: 0.704, usercpu_time_millis_training: 29.693,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9739, f_measure: 0.9291, kappa: 0.8509, kb_relative_information_score: 3252.7286, mean_absolute_error: 0.1551, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9299, predictive_accuracy: 0.9296, prior_entropy: 0.9674, recall: 0.9296, relative_absolute_error: 0.3247, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2454, root_relative_squared_error: 0.5022, scimark_benchmark: 1711.6554, usercpu_time_millis: 84.376, usercpu_time_millis_testing: 2.062, usercpu_time_millis_training: 82.314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.938, kappa: 0.8698, kb_relative_information_score: 3534.9384, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9383, predictive_accuracy: 0.9383, prior_entropy: 0.9674, recall: 0.9383, relative_absolute_error: 0.256, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2228, root_relative_squared_error: 0.4559, scimark_benchmark: 1729.3908, usercpu_time_millis: 81.306, usercpu_time_millis_testing: 2.486, usercpu_time_millis_training: 78.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9492, kappa: 0.8934, kb_relative_information_score: 3593.6368, mean_absolute_error: 0.1175, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9494, predictive_accuracy: 0.9494, prior_entropy: 0.9674, recall: 0.9494, relative_absolute_error: 0.2461, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.207, root_relative_squared_error: 0.4235, scimark_benchmark: 1730.6549, usercpu_time_millis: 40.755, usercpu_time_millis_testing: 1.924, usercpu_time_millis_training: 38.831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9418, kappa: 0.8777, kb_relative_information_score: 3615.2786, mean_absolute_error: 0.1127, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.942, predictive_accuracy: 0.942, prior_entropy: 0.9674, recall: 0.942, relative_absolute_error: 0.2361, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2156, root_relative_squared_error: 0.4413, scimark_benchmark: 1749.7355, usercpu_time_millis: 43.196, usercpu_time_millis_testing: 0.952, usercpu_time_millis_training: 42.244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9416, kappa: 0.8772, kb_relative_information_score: 3628.1458, mean_absolute_error: 0.1114, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9418, predictive_accuracy: 0.9418, prior_entropy: 0.9674, recall: 0.9418, relative_absolute_error: 0.2333, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.4366, scimark_benchmark: 1736.9559, usercpu_time_millis: 63.179, usercpu_time_millis_testing: 1.03, usercpu_time_millis_training: 62.149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9449, f_measure: 0.8859, kappa: 0.7622, kb_relative_information_score: 2715.4184, mean_absolute_error: 0.2118, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8871, predictive_accuracy: 0.8855, prior_entropy: 0.9674, recall: 0.8855, relative_absolute_error: 0.4435, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3022, root_relative_squared_error: 0.6185, scimark_benchmark: 1738.3274, usercpu_time_millis: 64.697, usercpu_time_millis_testing: 0.84, usercpu_time_millis_training: 63.857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9507, kappa: 0.8964, kb_relative_information_score: 3513.886, mean_absolute_error: 0.1285, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.951, predictive_accuracy: 0.9509, prior_entropy: 0.9674, recall: 0.9509, relative_absolute_error: 0.2691, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.4265, scimark_benchmark: 1738.3274, usercpu_time_millis: 53.406, usercpu_time_millis_testing: 3.429, usercpu_time_millis_training: 49.977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9424, kappa: 0.8789, kb_relative_information_score: 3453.936, mean_absolute_error: 0.1339, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9428, predictive_accuracy: 0.9426, prior_entropy: 0.9674, recall: 0.9426, relative_absolute_error: 0.2803, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2201, root_relative_squared_error: 0.4505, scimark_benchmark: 1727.6743, usercpu_time_millis: 36.557, usercpu_time_millis_testing: 1.318, usercpu_time_millis_training: 35.239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9628, f_measure: 0.9216, kappa: 0.8348, kb_relative_information_score: 3047.1784, mean_absolute_error: 0.1775, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9228, predictive_accuracy: 0.9222, prior_entropy: 0.9674, recall: 0.9222, relative_absolute_error: 0.3717, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2681, root_relative_squared_error: 0.5487, scimark_benchmark: 1734.2259, usercpu_time_millis: 35.69, usercpu_time_millis_testing: 0.662, usercpu_time_millis_training: 35.028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9319, f_measure: 0.8647, kappa: 0.72, kb_relative_information_score: 2552.9944, mean_absolute_error: 0.2275, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8689, predictive_accuracy: 0.8637, prior_entropy: 0.9674, recall: 0.8637, relative_absolute_error: 0.4763, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3192, root_relative_squared_error: 0.6531, scimark_benchmark: 1733.3606, usercpu_time_millis: 43.685, usercpu_time_millis_testing: 0.727, usercpu_time_millis_training: 42.958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8632, f_measure: 0.7758, kappa: 0.5257, kb_relative_information_score: 1631.4363, mean_absolute_error: 0.3262, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.7789, predictive_accuracy: 0.7803, prior_entropy: 0.9674, recall: 0.7803, relative_absolute_error: 0.6831, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3861, root_relative_squared_error: 0.7902, scimark_benchmark: 1737.8652, usercpu_time_millis: 16.951, usercpu_time_millis_testing: 0.946, usercpu_time_millis_training: 16.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, f_measure: 0.9278, kappa: 0.8481, kb_relative_information_score: 2877.4632, mean_absolute_error: 0.2014, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9286, predictive_accuracy: 0.9283, prior_entropy: 0.9674, recall: 0.9283, relative_absolute_error: 0.4216, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2671, root_relative_squared_error: 0.5467, scimark_benchmark: 1746.0873, usercpu_time_millis: 19.786, usercpu_time_millis_testing: 1.029, usercpu_time_millis_training: 18.757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9512, kappa: 0.8976, kb_relative_information_score: 3724.0419, mean_absolute_error: 0.1011, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9513, predictive_accuracy: 0.9513, prior_entropy: 0.9674, recall: 0.9513, relative_absolute_error: 0.2116, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1999, root_relative_squared_error: 0.4091, scimark_benchmark: 1733.7613, usercpu_time_millis: 10.964, usercpu_time_millis_testing: 0.277, usercpu_time_millis_training: 10.687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9501, kappa: 0.8951, kb_relative_information_score: 3489.0331, mean_absolute_error: 0.1311, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9503, predictive_accuracy: 0.9502, prior_entropy: 0.9674, recall: 0.9502, relative_absolute_error: 0.2746, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2118, root_relative_squared_error: 0.4335, scimark_benchmark: 1733.3606, usercpu_time_millis: 17.272, usercpu_time_millis_testing: 1.167, usercpu_time_millis_training: 16.105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9524, f_measure: 0.8988, kappa: 0.7887, kb_relative_information_score: 2679.4721, mean_absolute_error: 0.2184, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8994, predictive_accuracy: 0.8985, prior_entropy: 0.9674, recall: 0.8985, relative_absolute_error: 0.4573, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2958, root_relative_squared_error: 0.6053, scimark_benchmark: 1745.6227, usercpu_time_millis: 12.926, usercpu_time_millis_testing: 0.638, usercpu_time_millis_training: 12.288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9323, kappa: 0.8577, kb_relative_information_score: 3441.247, mean_absolute_error: 0.133, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9327, predictive_accuracy: 0.9326, prior_entropy: 0.9674, recall: 0.9326, relative_absolute_error: 0.2786, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2321, root_relative_squared_error: 0.475, scimark_benchmark: 1717.8303, usercpu_time_millis: 12.871, usercpu_time_millis_testing: 0.377, usercpu_time_millis_training: 12.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9452, f_measure: 0.8852, kappa: 0.761, kb_relative_information_score: 2454.4326, mean_absolute_error: 0.2436, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8869, predictive_accuracy: 0.8846, prior_entropy: 0.9674, recall: 0.8846, relative_absolute_error: 0.5101, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3123, root_relative_squared_error: 0.6391, scimark_benchmark: 1749.3313, usercpu_time_millis: 2.825, usercpu_time_millis_testing: 0.138, usercpu_time_millis_training: 2.687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, f_measure: 0.9255, kappa: 0.8434, kb_relative_information_score: 2732.4368, mean_absolute_error: 0.2175, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.926, predictive_accuracy: 0.9259, prior_entropy: 0.9674, recall: 0.9259, relative_absolute_error: 0.4555, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2797, root_relative_squared_error: 0.5725, scimark_benchmark: 1737.9267, usercpu_time_millis: 21.877, usercpu_time_millis_testing: 1.617, usercpu_time_millis_training: 20.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.938, kappa: 0.8696, kb_relative_information_score: 3273.1931, mean_absolute_error: 0.1561, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9384, predictive_accuracy: 0.9383, prior_entropy: 0.9674, recall: 0.9383, relative_absolute_error: 0.327, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2323, root_relative_squared_error: 0.4754, scimark_benchmark: 1736.9559, usercpu_time_millis: 20.462, usercpu_time_millis_testing: 1.41, usercpu_time_millis_training: 19.052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.9402, kappa: 0.8743, kb_relative_information_score: 3415.1711, mean_absolute_error: 0.1387, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9406, predictive_accuracy: 0.9404, prior_entropy: 0.9674, recall: 0.9404, relative_absolute_error: 0.2903, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2228, root_relative_squared_error: 0.456, scimark_benchmark: 1736.9559, usercpu_time_millis: 16.469, usercpu_time_millis_testing: 1.175, usercpu_time_millis_training: 15.294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.8246, kappa: 0.6287, kb_relative_information_score: 1707.6794, mean_absolute_error: 0.3231, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8471, predictive_accuracy: 0.8324, prior_entropy: 0.9674, recall: 0.8324, relative_absolute_error: 0.6765, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3657, root_relative_squared_error: 0.7484, scimark_benchmark: 1732.8983, usercpu_time_millis: 10.8, usercpu_time_millis_testing: 1.174, usercpu_time_millis_training: 9.626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8825, f_measure: 0.7882, kappa: 0.5514, kb_relative_information_score: 1669.148, mean_absolute_error: 0.3245, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.799, predictive_accuracy: 0.7953, prior_entropy: 0.9674, recall: 0.7953, relative_absolute_error: 0.6794, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3728, root_relative_squared_error: 0.7629, scimark_benchmark: 1714.2829, usercpu_time_millis: 12.468, usercpu_time_millis_testing: 0.764, usercpu_time_millis_training: 11.704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9495, kappa: 0.8939, kb_relative_information_score: 3736.151, mean_absolute_error: 0.0993, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9495, predictive_accuracy: 0.9496, prior_entropy: 0.9674, recall: 0.9496, relative_absolute_error: 0.2079, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2004, root_relative_squared_error: 0.4101, scimark_benchmark: 1844.8764, usercpu_time_millis: 16.213, usercpu_time_millis_testing: 0.377, usercpu_time_millis_training: 15.836,
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: 0.4992, f_measure: 0.4573, kb_relative_information_score: 0.0639, mean_absolute_error: 0.4775, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.3672, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4886, root_relative_squared_error: 1, scimark_benchmark: 1735.1328, usercpu_time_millis: 6.047, usercpu_time_millis_testing: 1.038, usercpu_time_millis_training: 5.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9274, f_measure: 0.8401, kappa: 0.6614, kb_relative_information_score: 1652.5308, mean_absolute_error: 0.3319, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8626, predictive_accuracy: 0.847, prior_entropy: 0.9674, recall: 0.847, relative_absolute_error: 0.695, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3657, root_relative_squared_error: 0.7484, scimark_benchmark: 1710.761, usercpu_time_millis: 3.353, usercpu_time_millis_testing: 0.233, usercpu_time_millis_training: 3.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9601, f_measure: 0.9087, kappa: 0.8074, kb_relative_information_score: 2076.0515, mean_absolute_error: 0.2922, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9114, predictive_accuracy: 0.9098, prior_entropy: 0.9674, recall: 0.9098, relative_absolute_error: 0.6119, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3263, root_relative_squared_error: 0.6678, scimark_benchmark: 1732.4995, usercpu_time_millis: 3.075, usercpu_time_millis_testing: 0.261, usercpu_time_millis_training: 2.814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9413, kappa: 0.8766, kb_relative_information_score: 3430.6673, mean_absolute_error: 0.1362, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9417, predictive_accuracy: 0.9415, prior_entropy: 0.9674, recall: 0.9415, relative_absolute_error: 0.2851, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2243, root_relative_squared_error: 0.459, scimark_benchmark: 1732.9618, usercpu_time_millis: 2.338, usercpu_time_millis_testing: 0.125, usercpu_time_millis_training: 2.213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.9213, kappa: 0.8343, kb_relative_information_score: 3285.3634, mean_absolute_error: 0.1496, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.922, predictive_accuracy: 0.9218, prior_entropy: 0.9674, recall: 0.9218, relative_absolute_error: 0.3133, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.251, root_relative_squared_error: 0.5137, scimark_benchmark: 1724.8648, usercpu_time_millis: 161.362, usercpu_time_millis_testing: 2.451, usercpu_time_millis_training: 158.911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.9336, kappa: 0.8603, kb_relative_information_score: 3512.6938, mean_absolute_error: 0.1239, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9342, predictive_accuracy: 0.9339, prior_entropy: 0.9674, recall: 0.9339, relative_absolute_error: 0.2594, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2286, root_relative_squared_error: 0.4679, scimark_benchmark: 1686.5233, usercpu_time_millis: 128.269, usercpu_time_millis_testing: 1.546, usercpu_time_millis_training: 126.723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.9353, kappa: 0.8638, kb_relative_information_score: 3410.4819, mean_absolute_error: 0.1372, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.936, predictive_accuracy: 0.9357, prior_entropy: 0.9674, recall: 0.9357, relative_absolute_error: 0.2872, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2309, root_relative_squared_error: 0.4726, scimark_benchmark: 1740.1131, usercpu_time_millis: 108.488, usercpu_time_millis_testing: 2.373, usercpu_time_millis_training: 106.115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.968, f_measure: 0.921, kappa: 0.8339, kb_relative_information_score: 3265.8401, mean_absolute_error: 0.1517, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9218, predictive_accuracy: 0.9215, prior_entropy: 0.9674, recall: 0.9215, relative_absolute_error: 0.3177, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2532, root_relative_squared_error: 0.5182, scimark_benchmark: 1726.6494, usercpu_time_millis: 78.244, usercpu_time_millis_testing: 0.747, usercpu_time_millis_training: 77.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, f_measure: 0.9351, kappa: 0.8637, kb_relative_information_score: 3632.9503, mean_absolute_error: 0.1077, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9351, predictive_accuracy: 0.9352, prior_entropy: 0.9674, recall: 0.9352, relative_absolute_error: 0.2256, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2255, root_relative_squared_error: 0.4614, scimark_benchmark: 1838.4876, usercpu_time_millis: 97.746, usercpu_time_millis_testing: 0.693, usercpu_time_millis_training: 97.053,

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

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs