Task
Supervised Classification on wilt

Supervised Classification on wilt

Task 9889 Supervised Classification wilt 59008 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9829, kappa: 0.8261, kb_relative_information_score: 3014.3835, mean_absolute_error: 0.028, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9828, predictive_accuracy: 0.9835, prior_entropy: 0.3037, recall: 0.9835, relative_absolute_error: 0.274, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1094, root_relative_squared_error: 0.4843, scimark_benchmark: 1864.5074, usercpu_time_millis: 5.778, usercpu_time_millis_testing: 0.342, usercpu_time_millis_training: 5.436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.9712, kappa: 0.7075, kb_relative_information_score: 1677.1597, mean_absolute_error: 0.0445, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9707, predictive_accuracy: 0.9723, prior_entropy: 0.3037, recall: 0.9723, relative_absolute_error: 0.4354, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1431, root_relative_squared_error: 0.6333, scimark_benchmark: 1836.6816, usercpu_time_millis: 4.311, usercpu_time_millis_testing: 0.125, usercpu_time_millis_training: 4.186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.9584, kappa: 0.5318, kb_relative_information_score: 782.891, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9634, predictive_accuracy: 0.9651, prior_entropy: 0.3037, recall: 0.9651, relative_absolute_error: 0.6441, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1632, root_relative_squared_error: 0.7225, scimark_benchmark: 1868.7112, usercpu_time_millis: 8.573, usercpu_time_millis_testing: 0.513, usercpu_time_millis_training: 8.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9767, kappa: 0.7615, kb_relative_information_score: 2138.1155, mean_absolute_error: 0.0392, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9765, predictive_accuracy: 0.9777, prior_entropy: 0.3037, recall: 0.9777, relative_absolute_error: 0.3833, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1262, root_relative_squared_error: 0.5588, scimark_benchmark: 1811.8125, usercpu_time_millis: 7.75, usercpu_time_millis_testing: 0.355, usercpu_time_millis_training: 7.395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.9686, kappa: 0.6636, kb_relative_information_score: 1209.4035, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9697, predictive_accuracy: 0.9717, prior_entropy: 0.3037, recall: 0.9717, relative_absolute_error: 0.54, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1519, root_relative_squared_error: 0.6725, scimark_benchmark: 1797.699, usercpu_time_millis: 11.526, usercpu_time_millis_testing: 0.695, usercpu_time_millis_training: 10.831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, f_measure: 0.9198, kb_relative_information_score: -14.0899, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1839.4265, usercpu_time_millis: 1.54, usercpu_time_millis_testing: 0.215, usercpu_time_millis_training: 1.325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.9198, kb_relative_information_score: 0.1462, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9986, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1804.6972, usercpu_time_millis: 4.93, usercpu_time_millis_testing: 0.61, usercpu_time_millis_training: 4.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9822, kappa: 0.8185, kb_relative_information_score: 2881.7551, mean_absolute_error: 0.0296, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9822, predictive_accuracy: 0.9828, prior_entropy: 0.3037, recall: 0.9828, relative_absolute_error: 0.2893, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.111, root_relative_squared_error: 0.4914, scimark_benchmark: 1805.6043, usercpu_time_millis: 3.283, usercpu_time_millis_testing: 0.119, usercpu_time_millis_training: 3.164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9823, kappa: 0.8213, kb_relative_information_score: 2731.7654, mean_absolute_error: 0.0299, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9822, predictive_accuracy: 0.9828, prior_entropy: 0.3037, recall: 0.9828, relative_absolute_error: 0.2925, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1137, root_relative_squared_error: 0.5032, scimark_benchmark: 1867.725, usercpu_time_millis: 3.748, usercpu_time_millis_testing: 0.137, usercpu_time_millis_training: 3.611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9825, kappa: 0.8231, kb_relative_information_score: 2867.4345, mean_absolute_error: 0.0288, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9824, predictive_accuracy: 0.9831, prior_entropy: 0.3037, recall: 0.9831, relative_absolute_error: 0.2818, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.113, root_relative_squared_error: 0.5004, scimark_benchmark: 1836.1564, usercpu_time_millis: 0.641, usercpu_time_millis_testing: 0.161, usercpu_time_millis_training: 0.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9683, kappa: 0.6576, kb_relative_information_score: 1731.5659, mean_absolute_error: 0.0497, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.97, predictive_accuracy: 0.9717, prior_entropy: 0.3037, recall: 0.9717, relative_absolute_error: 0.4864, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.139, root_relative_squared_error: 0.6152, scimark_benchmark: 1740.6245, usercpu_time_millis: 3.522, usercpu_time_millis_testing: 0.225, usercpu_time_millis_training: 3.297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9839, kappa: 0.8409, kb_relative_information_score: 3210.7371, mean_absolute_error: 0.023, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9838, predictive_accuracy: 0.9841, prior_entropy: 0.3037, recall: 0.9841, relative_absolute_error: 0.2248, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1102, root_relative_squared_error: 0.4878, scimark_benchmark: 1751.7412, usercpu_time_millis: 50.152, usercpu_time_millis_testing: 1.528, usercpu_time_millis_training: 48.624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9848, kappa: 0.8487, kb_relative_information_score: 3196.255, mean_absolute_error: 0.0236, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9847, predictive_accuracy: 0.9851, prior_entropy: 0.3037, recall: 0.9851, relative_absolute_error: 0.2309, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.109, root_relative_squared_error: 0.4824, scimark_benchmark: 1869.6309, usercpu_time_millis: 50.918, usercpu_time_millis_testing: 1.755, usercpu_time_millis_training: 49.163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9846, kappa: 0.8458, kb_relative_information_score: 3193.3831, mean_absolute_error: 0.0239, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9845, predictive_accuracy: 0.9849, prior_entropy: 0.3037, recall: 0.9849, relative_absolute_error: 0.234, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1077, root_relative_squared_error: 0.4767, scimark_benchmark: 1868.2531, usercpu_time_millis: 48.733, usercpu_time_millis_testing: 1.665, usercpu_time_millis_training: 47.068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9848, kappa: 0.8487, kb_relative_information_score: 3127.6684, mean_absolute_error: 0.0247, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9847, predictive_accuracy: 0.9851, prior_entropy: 0.3037, recall: 0.9851, relative_absolute_error: 0.2419, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.107, root_relative_squared_error: 0.4736, scimark_benchmark: 1866.5348, usercpu_time_millis: 35.94, usercpu_time_millis_testing: 1.2, usercpu_time_millis_training: 34.74,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9772, kappa: 0.7606, kb_relative_information_score: 2459.0591, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9781, predictive_accuracy: 0.9789, prior_entropy: 0.3037, recall: 0.9789, relative_absolute_error: 0.3772, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1232, root_relative_squared_error: 0.5455, scimark_benchmark: 1869.2422, usercpu_time_millis: 18.902, usercpu_time_millis_testing: 1.337, usercpu_time_millis_training: 17.565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9829, kappa: 0.8267, kb_relative_information_score: 2660.6144, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9828, predictive_accuracy: 0.9835, prior_entropy: 0.3037, recall: 0.9835, relative_absolute_error: 0.3166, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1155, root_relative_squared_error: 0.5111, scimark_benchmark: 1868.784, usercpu_time_millis: 14.579, usercpu_time_millis_testing: 0.546, usercpu_time_millis_training: 14.033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.9198, kb_relative_information_score: -3271.4171, mean_absolute_error: 0.0925, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9051, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2088, root_relative_squared_error: 0.9245, scimark_benchmark: 1870.2804, usercpu_time_millis: 14.209, usercpu_time_millis_testing: 0.798, usercpu_time_millis_training: 13.411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9677, kappa: 0.6451, kb_relative_information_score: 1895.6752, mean_absolute_error: 0.0504, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9715, predictive_accuracy: 0.9719, prior_entropy: 0.3037, recall: 0.9719, relative_absolute_error: 0.4935, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.138, root_relative_squared_error: 0.6108, scimark_benchmark: 1756.2778, usercpu_time_millis: 11.802, usercpu_time_millis_testing: 0.807, usercpu_time_millis_training: 10.995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9688, kappa: 0.6641, kb_relative_information_score: 1753.9037, mean_absolute_error: 0.0495, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9705, predictive_accuracy: 0.9721, prior_entropy: 0.3037, recall: 0.9721, relative_absolute_error: 0.4846, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1383, root_relative_squared_error: 0.6121, scimark_benchmark: 1868.6447, usercpu_time_millis: 10.359, usercpu_time_millis_testing: 0.681, usercpu_time_millis_training: 9.678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8538, f_measure: 0.9198, kb_relative_information_score: -1751.8342, mean_absolute_error: 0.0993, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9711, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2204, root_relative_squared_error: 0.9757, scimark_benchmark: 1868.784, usercpu_time_millis: 10.377, usercpu_time_millis_testing: 1.125, usercpu_time_millis_training: 9.252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9824, kappa: 0.8226, kb_relative_information_score: 2448.3497, mean_absolute_error: 0.0338, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9822, predictive_accuracy: 0.9828, prior_entropy: 0.3037, recall: 0.9828, relative_absolute_error: 0.3309, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.12, root_relative_squared_error: 0.5313, scimark_benchmark: 1755.7856, usercpu_time_millis: 7.056, usercpu_time_millis_testing: 0.213, usercpu_time_millis_training: 6.843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8503, f_measure: 0.9198, kb_relative_information_score: -1028.5993, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9732, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2206, root_relative_squared_error: 0.9765, scimark_benchmark: 1782.5588, usercpu_time_millis: 9.021, usercpu_time_millis_testing: 0.892, usercpu_time_millis_training: 8.129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, f_measure: 0.9198, kb_relative_information_score: 4.7726, mean_absolute_error: 0.102, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1755.1552, usercpu_time_millis: 5.162, usercpu_time_millis_testing: 0.879, usercpu_time_millis_training: 4.283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9838, kappa: 0.8367, kb_relative_information_score: 2942.3708, mean_absolute_error: 0.0287, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9837, predictive_accuracy: 0.9843, prior_entropy: 0.3037, recall: 0.9843, relative_absolute_error: 0.2811, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1096, root_relative_squared_error: 0.4851, scimark_benchmark: 1766.708, usercpu_time_millis: 5.627, usercpu_time_millis_testing: 0.213, usercpu_time_millis_training: 5.414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7341, f_measure: 0.9198, kb_relative_information_score: -5172.9285, mean_absolute_error: 0.0973, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9518, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2207, root_relative_squared_error: 0.9771, scimark_benchmark: 1752.1319, usercpu_time_millis: 2.35, usercpu_time_millis_testing: 0.089, usercpu_time_millis_training: 2.261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.979, kappa: 0.7811, kb_relative_information_score: 2470.6506, mean_absolute_error: 0.0374, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9796, predictive_accuracy: 0.9804, prior_entropy: 0.3037, recall: 0.9804, relative_absolute_error: 0.3655, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.122, root_relative_squared_error: 0.5403, scimark_benchmark: 1867.2269, usercpu_time_millis: 0.874, usercpu_time_millis_testing: 0.174, usercpu_time_millis_training: 0.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.971, kappa: 0.6852, kb_relative_information_score: 1987.6082, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.974, predictive_accuracy: 0.9744, prior_entropy: 0.3037, recall: 0.9744, relative_absolute_error: 0.4555, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1333, root_relative_squared_error: 0.5903, scimark_benchmark: 1869.6309, usercpu_time_millis: 1.476, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 1.396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9703, kappa: 0.6853, kb_relative_information_score: 1327.455, mean_absolute_error: 0.0492, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9711, predictive_accuracy: 0.9729, prior_entropy: 0.3037, recall: 0.9729, relative_absolute_error: 0.481, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1457, root_relative_squared_error: 0.6451, scimark_benchmark: 1869.2422, usercpu_time_millis: 1.137, usercpu_time_millis_testing: 0.067, usercpu_time_millis_training: 1.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8935, f_measure: 0.9198, kb_relative_information_score: -1265.8057, mean_absolute_error: 0.0997, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9755, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2211, root_relative_squared_error: 0.9788, scimark_benchmark: 1778.801, usercpu_time_millis: 1.096, usercpu_time_millis_testing: 0.121, usercpu_time_millis_training: 0.975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9748, kappa: 0.731, kb_relative_information_score: 2484.5799, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9764, predictive_accuracy: 0.9771, prior_entropy: 0.3037, recall: 0.9771, relative_absolute_error: 0.3909, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1259, root_relative_squared_error: 0.5574, scimark_benchmark: 1847.2753, usercpu_time_millis: 1.913, usercpu_time_millis_testing: 0.244, usercpu_time_millis_training: 1.669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9822, kappa: 0.8185, kb_relative_information_score: 3021.0338, mean_absolute_error: 0.0284, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9822, predictive_accuracy: 0.9828, prior_entropy: 0.3037, recall: 0.9828, relative_absolute_error: 0.2783, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1128, root_relative_squared_error: 0.4994, scimark_benchmark: 1742.6196, usercpu_time_millis: 48.845, usercpu_time_millis_testing: 2.314, usercpu_time_millis_training: 46.531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.984, kappa: 0.8397, kb_relative_information_score: 2779.5329, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9838, predictive_accuracy: 0.9843, prior_entropy: 0.3037, recall: 0.9843, relative_absolute_error: 0.2879, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1129, root_relative_squared_error: 0.4999, scimark_benchmark: 1746.226, usercpu_time_millis: 47.133, usercpu_time_millis_testing: 1.61, usercpu_time_millis_training: 45.523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9843, kappa: 0.8422, kb_relative_information_score: 3065.8604, mean_absolute_error: 0.0269, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9842, predictive_accuracy: 0.9847, prior_entropy: 0.3037, recall: 0.9847, relative_absolute_error: 0.2629, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1081, root_relative_squared_error: 0.4785, scimark_benchmark: 1868.7112, usercpu_time_millis: 46.018, usercpu_time_millis_testing: 1.726, usercpu_time_millis_training: 44.292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9832, kappa: 0.8312, kb_relative_information_score: 2670.4803, mean_absolute_error: 0.0315, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9831, predictive_accuracy: 0.9837, prior_entropy: 0.3037, recall: 0.9837, relative_absolute_error: 0.3084, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1147, root_relative_squared_error: 0.5077, scimark_benchmark: 1868.784, usercpu_time_millis: 34.371, usercpu_time_millis_testing: 1.35, usercpu_time_millis_training: 33.021,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8938, f_measure: 0.9198, kb_relative_information_score: -922.2719, mean_absolute_error: 0.0997, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.975, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.221, root_relative_squared_error: 0.9783, scimark_benchmark: 1836.3202, usercpu_time_millis: 2.615, usercpu_time_millis_testing: 0.265, usercpu_time_millis_training: 2.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9598, f_measure: 0.9198, kb_relative_information_score: -262.5838, mean_absolute_error: 0.0798, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.7808, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1846, root_relative_squared_error: 0.8173, scimark_benchmark: 1778.9401, usercpu_time_millis: 0.865, usercpu_time_millis_testing: 0.066, usercpu_time_millis_training: 0.799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.9198, kb_relative_information_score: -35.2862, mean_absolute_error: 0.1022, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1843.0318, usercpu_time_millis: 0.283, usercpu_time_millis_testing: 0.047, usercpu_time_millis_training: 0.236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.9198, kb_relative_information_score: 3.6171, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1788.2177, usercpu_time_millis: 1.673, usercpu_time_millis_testing: 0.227, usercpu_time_millis_training: 1.446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9824, kappa: 0.8248, kb_relative_information_score: 2582.541, mean_absolute_error: 0.0321, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9822, predictive_accuracy: 0.9826, prior_entropy: 0.3037, recall: 0.9826, relative_absolute_error: 0.3142, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1206, root_relative_squared_error: 0.534, scimark_benchmark: 1869.7524, usercpu_time_millis: 38.45, usercpu_time_millis_testing: 1.232, usercpu_time_millis_training: 37.218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8941, f_measure: 0.9198, kb_relative_information_score: -2973.684, mean_absolute_error: 0.0974, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9531, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2175, root_relative_squared_error: 0.9628, scimark_benchmark: 1759.884, usercpu_time_millis: 14.233, usercpu_time_millis_testing: 1.049, usercpu_time_millis_training: 13.184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.9694, kappa: 0.6743, kb_relative_information_score: 1321.463, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9701, predictive_accuracy: 0.9721, prior_entropy: 0.3037, recall: 0.9721, relative_absolute_error: 0.5196, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1478, root_relative_squared_error: 0.6545, scimark_benchmark: 1969.7932, usercpu_time_millis: 17.188, usercpu_time_millis_testing: 1.059, usercpu_time_millis_training: 16.129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9767, kappa: 0.7561, kb_relative_information_score: 2308.4932, mean_absolute_error: 0.0381, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9773, predictive_accuracy: 0.9783, prior_entropy: 0.3037, recall: 0.9783, relative_absolute_error: 0.3724, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.124, root_relative_squared_error: 0.5488, scimark_benchmark: 1970.8162, usercpu_time_millis: 13.866, usercpu_time_millis_testing: 0.901, usercpu_time_millis_training: 12.965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9802, kappa: 0.7948, kb_relative_information_score: 2688.8662, mean_absolute_error: 0.0337, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9807, predictive_accuracy: 0.9814, prior_entropy: 0.3037, recall: 0.9814, relative_absolute_error: 0.3299, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1169, root_relative_squared_error: 0.5176, scimark_benchmark: 1863.9794, usercpu_time_millis: 17.022, usercpu_time_millis_testing: 1.103, usercpu_time_millis_training: 15.919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.9198, kb_relative_information_score: -115.7611, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.7717, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1833, root_relative_squared_error: 0.8116, scimark_benchmark: 1868.1832, usercpu_time_millis: 12.746, usercpu_time_millis_testing: 1.353, usercpu_time_millis_training: 11.393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.9652, kappa: 0.6172, kb_relative_information_score: 1307.7017, mean_absolute_error: 0.0578, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9687, predictive_accuracy: 0.9698, prior_entropy: 0.3037, recall: 0.9698, relative_absolute_error: 0.5658, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1504, root_relative_squared_error: 0.6659, scimark_benchmark: 1868.7112, usercpu_time_millis: 9.769, usercpu_time_millis_testing: 0.585, usercpu_time_millis_training: 9.184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9808, kappa: 0.8025, kb_relative_information_score: 2759.6153, mean_absolute_error: 0.0311, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9811, predictive_accuracy: 0.9818, prior_entropy: 0.3037, recall: 0.9818, relative_absolute_error: 0.3041, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1136, root_relative_squared_error: 0.5028, scimark_benchmark: 1973.9772, usercpu_time_millis: 5.191, usercpu_time_millis_testing: 0.25, usercpu_time_millis_training: 4.941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9781, kappa: 0.769, kb_relative_information_score: 2528.1331, mean_absolute_error: 0.0383, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9792, predictive_accuracy: 0.9797, prior_entropy: 0.3037, recall: 0.9797, relative_absolute_error: 0.3749, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.122, root_relative_squared_error: 0.5399, scimark_benchmark: 1976.7542, usercpu_time_millis: 1.824, usercpu_time_millis_testing: 0.112, usercpu_time_millis_training: 1.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9744, kappa: 0.729, kb_relative_information_score: 2561.2809, mean_absolute_error: 0.0383, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9753, predictive_accuracy: 0.9764, prior_entropy: 0.3037, recall: 0.9764, relative_absolute_error: 0.3746, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1249, root_relative_squared_error: 0.5528, scimark_benchmark: 1863.066, usercpu_time_millis: 30.403, usercpu_time_millis_testing: 1.916, usercpu_time_millis_training: 28.487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9744, kappa: 0.7285, kb_relative_information_score: 2063.4537, mean_absolute_error: 0.0399, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9757, predictive_accuracy: 0.9766, prior_entropy: 0.3037, recall: 0.9766, relative_absolute_error: 0.3904, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1294, root_relative_squared_error: 0.5728, scimark_benchmark: 1864.5074, usercpu_time_millis: 0.387, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 0.351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9837, kappa: 0.838, kb_relative_information_score: 3203.5283, mean_absolute_error: 0.0227, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9835, predictive_accuracy: 0.9839, prior_entropy: 0.3037, recall: 0.9839, relative_absolute_error: 0.2216, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1112, root_relative_squared_error: 0.4924, scimark_benchmark: 1863.6293, usercpu_time_millis: 22.926, usercpu_time_millis_testing: 0.637, usercpu_time_millis_training: 22.289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9825, kappa: 0.8215, kb_relative_information_score: 2917.2341, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9826, predictive_accuracy: 0.9833, prior_entropy: 0.3037, recall: 0.9833, relative_absolute_error: 0.292, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1106, root_relative_squared_error: 0.4895, scimark_benchmark: 1866.8141, usercpu_time_millis: 21.544, usercpu_time_millis_testing: 1.079, usercpu_time_millis_training: 20.465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9682, kappa: 0.6534, kb_relative_information_score: 1880.6747, mean_absolute_error: 0.049, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9712, predictive_accuracy: 0.9721, prior_entropy: 0.3037, recall: 0.9721, relative_absolute_error: 0.4796, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1369, root_relative_squared_error: 0.6058, scimark_benchmark: 1868.7112, usercpu_time_millis: 18.01, usercpu_time_millis_testing: 1.059, usercpu_time_millis_training: 16.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.9658, kappa: 0.6242, kb_relative_information_score: 1135.6897, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9691, predictive_accuracy: 0.9702, prior_entropy: 0.3037, recall: 0.9702, relative_absolute_error: 0.5761, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1546, root_relative_squared_error: 0.6844, scimark_benchmark: 1997.227, usercpu_time_millis: 10.654, usercpu_time_millis_testing: 0.953, usercpu_time_millis_training: 9.701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9803, kappa: 0.7964, kb_relative_information_score: 2460.3079, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9806, predictive_accuracy: 0.9814, prior_entropy: 0.3037, recall: 0.9814, relative_absolute_error: 0.3536, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1195, root_relative_squared_error: 0.529, scimark_benchmark: 1855.9079, usercpu_time_millis: 9.539, usercpu_time_millis_testing: 0.431, usercpu_time_millis_training: 9.108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.958, kappa: 0.5207, kb_relative_information_score: 1251.268, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.966, predictive_accuracy: 0.9655, prior_entropy: 0.3037, recall: 0.9655, relative_absolute_error: 0.6107, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1581, root_relative_squared_error: 0.7001, scimark_benchmark: 1876.6122, usercpu_time_millis: 7.137, usercpu_time_millis_testing: 0.734, usercpu_time_millis_training: 6.403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, f_measure: 0.9198, kb_relative_information_score: 5.6239, mean_absolute_error: 0.102, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9977, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1879.9261, usercpu_time_millis: 5.048, usercpu_time_millis_testing: 0.832, usercpu_time_millis_training: 4.216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9824, kappa: 0.8203, kb_relative_information_score: 2794.4966, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9824, predictive_accuracy: 0.9831, prior_entropy: 0.3037, recall: 0.9831, relative_absolute_error: 0.2873, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1119, root_relative_squared_error: 0.4954, scimark_benchmark: 1877.1288, usercpu_time_millis: 4.119, usercpu_time_millis_testing: 0.294, usercpu_time_millis_training: 3.825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.9198, kb_relative_information_score: 2.7461, mean_absolute_error: 0.102, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1869.8223, usercpu_time_millis: 1.809, usercpu_time_millis_testing: 0.235, usercpu_time_millis_training: 1.574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.9688, kappa: 0.6775, kb_relative_information_score: 1252.3164, mean_absolute_error: 0.0509, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9684, predictive_accuracy: 0.9707, prior_entropy: 0.3037, recall: 0.9707, relative_absolute_error: 0.4975, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1531, root_relative_squared_error: 0.6776, scimark_benchmark: 1857.3401, usercpu_time_millis: 28.002, usercpu_time_millis_testing: 1.106, usercpu_time_millis_training: 26.896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9617, f_measure: 0.9267, kappa: 0.0969, kb_relative_information_score: 97.5445, mean_absolute_error: 0.0756, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9516, predictive_accuracy: 0.949, prior_entropy: 0.3037, recall: 0.949, relative_absolute_error: 0.7399, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.178, root_relative_squared_error: 0.7879, scimark_benchmark: 1834.5019, usercpu_time_millis: 21.17, usercpu_time_millis_testing: 1.543, usercpu_time_millis_training: 19.627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9762, kappa: 0.7527, kb_relative_information_score: 2162.1894, mean_absolute_error: 0.039, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9764, predictive_accuracy: 0.9777, prior_entropy: 0.3037, recall: 0.9777, relative_absolute_error: 0.3817, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1254, root_relative_squared_error: 0.555, scimark_benchmark: 1859.3512, usercpu_time_millis: 22.775, usercpu_time_millis_testing: 1.517, usercpu_time_millis_training: 21.258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9726, kappa: 0.7137, kb_relative_information_score: 1844.1177, mean_absolute_error: 0.0434, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9726, predictive_accuracy: 0.9744, prior_entropy: 0.3037, recall: 0.9744, relative_absolute_error: 0.4241, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1349, root_relative_squared_error: 0.5972, scimark_benchmark: 1868.7112, usercpu_time_millis: 21.565, usercpu_time_millis_testing: 1.125, usercpu_time_millis_training: 20.44,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9841, kappa: 0.8397, kb_relative_information_score: 3090.0718, mean_absolute_error: 0.0262, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.984, predictive_accuracy: 0.9845, prior_entropy: 0.3037, recall: 0.9845, relative_absolute_error: 0.2564, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1086, root_relative_squared_error: 0.4807, scimark_benchmark: 1790.5733, usercpu_time_millis: 17.313, usercpu_time_millis_testing: 0.909, usercpu_time_millis_training: 16.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9728, kappa: 0.7071, kb_relative_information_score: 2224.0028, mean_absolute_error: 0.0441, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9751, predictive_accuracy: 0.9756, prior_entropy: 0.3037, recall: 0.9756, relative_absolute_error: 0.431, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1306, root_relative_squared_error: 0.5783, scimark_benchmark: 1849.6366, usercpu_time_millis: 17.002, usercpu_time_millis_testing: 1.596, usercpu_time_millis_training: 15.406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9595, f_measure: 0.9662, kappa: 0.6343, kb_relative_information_score: 954.4993, mean_absolute_error: 0.0626, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9676, predictive_accuracy: 0.9698, prior_entropy: 0.3037, recall: 0.9698, relative_absolute_error: 0.6123, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1627, root_relative_squared_error: 0.7204, scimark_benchmark: 1851.7013, usercpu_time_millis: 14.043, usercpu_time_millis_testing: 0.678, usercpu_time_millis_training: 13.365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9688, f_measure: 0.9566, kappa: 0.506, kb_relative_information_score: 533.8125, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9634, predictive_accuracy: 0.9642, prior_entropy: 0.3037, recall: 0.9642, relative_absolute_error: 0.6695, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1676, root_relative_squared_error: 0.7421, scimark_benchmark: 1792.109, usercpu_time_millis: 5.462, usercpu_time_millis_testing: 0.358, usercpu_time_millis_training: 5.104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, f_measure: 0.9198, kb_relative_information_score: 4.8014, mean_absolute_error: 0.102, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1793.5383, usercpu_time_millis: 4.298, usercpu_time_millis_testing: 0.704, usercpu_time_millis_training: 3.594,

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