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: 0.499, f_measure: 0.9198, kb_relative_information_score: -4.4936, 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: 1869.6309, usercpu_time_millis: 7.127, usercpu_time_millis_testing: 0.962, usercpu_time_millis_training: 6.165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9683, kappa: 0.652, kb_relative_information_score: 2026.7862, mean_absolute_error: 0.0497, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9719, predictive_accuracy: 0.9723, prior_entropy: 0.3037, recall: 0.9723, relative_absolute_error: 0.4863, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1383, root_relative_squared_error: 0.6121, scimark_benchmark: 1866.1009, usercpu_time_millis: 22.369, usercpu_time_millis_testing: 2.458, usercpu_time_millis_training: 19.911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8809, f_measure: 0.9198, kb_relative_information_score: -1023.8324, mean_absolute_error: 0.1002, 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: 0.9806, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2222, root_relative_squared_error: 0.9839, scimark_benchmark: 1873.9387, usercpu_time_millis: 9.047, usercpu_time_millis_testing: 1.306, usercpu_time_millis_training: 7.741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9637, kappa: 0.5952, kb_relative_information_score: 1314.3465, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9691, predictive_accuracy: 0.9692, prior_entropy: 0.3037, recall: 0.9692, relative_absolute_error: 0.5764, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1507, root_relative_squared_error: 0.6672, scimark_benchmark: 1859.9421, usercpu_time_millis: 20.225, usercpu_time_millis_testing: 2.022, usercpu_time_millis_training: 18.203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9715, kappa: 0.6949, kb_relative_information_score: 2014.2138, mean_absolute_error: 0.0449, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9732, predictive_accuracy: 0.9744, prior_entropy: 0.3037, recall: 0.9744, relative_absolute_error: 0.4395, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1312, root_relative_squared_error: 0.5809, scimark_benchmark: 1867.725, usercpu_time_millis: 21.194, usercpu_time_millis_testing: 1.464, usercpu_time_millis_training: 19.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9688, kappa: 0.6601, kb_relative_information_score: 1952.2818, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9717, predictive_accuracy: 0.9725, prior_entropy: 0.3037, recall: 0.9725, relative_absolute_error: 0.4776, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.136, root_relative_squared_error: 0.6021, scimark_benchmark: 1870.9126, usercpu_time_millis: 30.512, usercpu_time_millis_testing: 2.873, usercpu_time_millis_training: 27.639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9715, kappa: 0.6926, kb_relative_information_score: 2199.165, mean_absolute_error: 0.0461, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9739, predictive_accuracy: 0.9746, prior_entropy: 0.3037, recall: 0.9746, relative_absolute_error: 0.4508, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1326, root_relative_squared_error: 0.5872, scimark_benchmark: 1869.9351, usercpu_time_millis: 28.72, usercpu_time_millis_testing: 2.759, usercpu_time_millis_training: 25.961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9617, f_measure: 0.9198, kb_relative_information_score: 11.2238, mean_absolute_error: 0.0764, 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: 0.7477, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1793, root_relative_squared_error: 0.7936, scimark_benchmark: 1845.6608, usercpu_time_millis: 19.372, usercpu_time_millis_testing: 1.667, usercpu_time_millis_training: 17.705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.9198, kb_relative_information_score: -5.6831, 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: 1874.4489, usercpu_time_millis: 5.418, usercpu_time_millis_testing: 0.71, usercpu_time_millis_training: 4.708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9672, kappa: 0.6399, kb_relative_information_score: 1853.7856, mean_absolute_error: 0.0514, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9709, predictive_accuracy: 0.9715, prior_entropy: 0.3037, recall: 0.9715, relative_absolute_error: 0.5027, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.14, root_relative_squared_error: 0.6196, scimark_benchmark: 1871.9601, usercpu_time_millis: 6.956, usercpu_time_millis_testing: 0.6, usercpu_time_millis_training: 6.356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9676, f_measure: 0.9348, kappa: 0.2091, kb_relative_information_score: 189.0983, mean_absolute_error: 0.0755, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9549, predictive_accuracy: 0.9527, prior_entropy: 0.3037, recall: 0.9527, relative_absolute_error: 0.7388, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1779, root_relative_squared_error: 0.7877, scimark_benchmark: 1853.3205, usercpu_time_millis: 7.385, usercpu_time_millis_testing: 0.679, usercpu_time_millis_training: 6.706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.9597, kappa: 0.5461, kb_relative_information_score: 894.5681, mean_absolute_error: 0.0642, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9656, predictive_accuracy: 0.9663, prior_entropy: 0.3037, recall: 0.9663, relative_absolute_error: 0.6277, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1599, root_relative_squared_error: 0.7078, scimark_benchmark: 1873.4805, usercpu_time_millis: 2.712, usercpu_time_millis_testing: 0.183, usercpu_time_millis_training: 2.529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9726, kappa: 0.7073, kb_relative_information_score: 2091.8243, mean_absolute_error: 0.0436, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9741, predictive_accuracy: 0.9752, prior_entropy: 0.3037, recall: 0.9752, relative_absolute_error: 0.4265, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1295, root_relative_squared_error: 0.5731, scimark_benchmark: 1871.5019, usercpu_time_millis: 17.124, usercpu_time_millis_testing: 1.209, usercpu_time_millis_training: 15.915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4985, f_measure: 0.9198, kb_relative_information_score: 1.5745, 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: 0.9989, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1869.1029, usercpu_time_millis: 5.971, usercpu_time_millis_testing: 0.907, usercpu_time_millis_training: 5.064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9668, kappa: 0.6347, kb_relative_information_score: 1764.2265, mean_absolute_error: 0.0515, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9703, predictive_accuracy: 0.9711, prior_entropy: 0.3037, recall: 0.9711, relative_absolute_error: 0.5036, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1398, root_relative_squared_error: 0.619, scimark_benchmark: 1872.9496, usercpu_time_millis: 12.818, usercpu_time_millis_testing: 1.013, usercpu_time_millis_training: 11.805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9825, kappa: 0.8231, kb_relative_information_score: 2902.0575, mean_absolute_error: 0.0276, 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: 0.2701, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1097, root_relative_squared_error: 0.4857, scimark_benchmark: 1876.7581, usercpu_time_millis: 7.662, usercpu_time_millis_testing: 0.378, usercpu_time_millis_training: 7.284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9672, f_measure: 0.9683, kappa: 0.6703, kb_relative_information_score: 1103.6446, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9679, predictive_accuracy: 0.9702, prior_entropy: 0.3037, recall: 0.9702, relative_absolute_error: 0.5597, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1589, root_relative_squared_error: 0.7033, scimark_benchmark: 1871.7311, usercpu_time_millis: 4.784, usercpu_time_millis_testing: 0.214, usercpu_time_millis_training: 4.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.9723, kappa: 0.7206, kb_relative_information_score: 2021.1176, mean_absolute_error: 0.0441, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9718, predictive_accuracy: 0.9731, prior_entropy: 0.3037, recall: 0.9731, relative_absolute_error: 0.4318, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1389, root_relative_squared_error: 0.615, scimark_benchmark: 1870.8644, usercpu_time_millis: 18.385, usercpu_time_millis_testing: 0.775, usercpu_time_millis_training: 17.61,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, f_measure: 0.9198, kb_relative_information_score: 2.6566, 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: 0.9989, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1873.4078, usercpu_time_millis: 2.332, usercpu_time_millis_testing: 0.479, usercpu_time_millis_training: 1.853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9746, kappa: 0.732, kb_relative_information_score: 2178.2764, mean_absolute_error: 0.0422, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9755, predictive_accuracy: 0.9766, prior_entropy: 0.3037, recall: 0.9766, relative_absolute_error: 0.4126, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.128, root_relative_squared_error: 0.5669, scimark_benchmark: 1865.1205, usercpu_time_millis: 29.941, usercpu_time_millis_testing: 2.001, usercpu_time_millis_training: 27.94,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9538, f_measure: 0.9198, kb_relative_information_score: -980.5181, mean_absolute_error: 0.0883, 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: 0.8638, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1995, root_relative_squared_error: 0.8831, scimark_benchmark: 1863.6877, usercpu_time_millis: 7.198, usercpu_time_millis_testing: 0.746, usercpu_time_millis_training: 6.452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8206, f_measure: 0.9198, kb_relative_information_score: -4191.5812, mean_absolute_error: 0.098, 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: 0.9589, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.22, root_relative_squared_error: 0.974, scimark_benchmark: 1870.2139, usercpu_time_millis: 6.858, usercpu_time_millis_testing: 0.452, usercpu_time_millis_training: 6.406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.9198, kb_relative_information_score: -2.1695, 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: 0.9992, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1877.2741, usercpu_time_millis: 1.919, usercpu_time_millis_testing: 0.265, usercpu_time_millis_training: 1.654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9691, kappa: 0.6795, kb_relative_information_score: 1306.12, mean_absolute_error: 0.0507, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9688, predictive_accuracy: 0.9711, prior_entropy: 0.3037, recall: 0.9711, relative_absolute_error: 0.496, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1504, root_relative_squared_error: 0.6659, scimark_benchmark: 1868.1196, usercpu_time_millis: 4.781, usercpu_time_millis_testing: 0.15, usercpu_time_millis_training: 4.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9814, kappa: 0.8093, kb_relative_information_score: 2837.3508, mean_absolute_error: 0.0325, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9815, predictive_accuracy: 0.9822, prior_entropy: 0.3037, recall: 0.9822, relative_absolute_error: 0.3178, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1139, root_relative_squared_error: 0.5042, scimark_benchmark: 1860.9209, usercpu_time_millis: 17.25, usercpu_time_millis_testing: 1.139, usercpu_time_millis_training: 16.111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8382, f_measure: 0.9198, kb_relative_information_score: -2271.3709, mean_absolute_error: 0.0991, 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: 0.9697, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2204, root_relative_squared_error: 0.9757, scimark_benchmark: 1876.23, usercpu_time_millis: 4.453, usercpu_time_millis_testing: 0.474, usercpu_time_millis_training: 3.979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9837, kappa: 0.8367, kb_relative_information_score: 2939.9674, mean_absolute_error: 0.0274, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9836, predictive_accuracy: 0.9841, prior_entropy: 0.3037, recall: 0.9841, relative_absolute_error: 0.2683, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1089, root_relative_squared_error: 0.4819, scimark_benchmark: 1870.9768, usercpu_time_millis: 17.017, usercpu_time_millis_testing: 0.923, usercpu_time_millis_training: 16.094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9586, kappa: 0.5289, kb_relative_information_score: 1601.0733, mean_absolute_error: 0.058, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9664, predictive_accuracy: 0.9659, prior_entropy: 0.3037, recall: 0.9659, relative_absolute_error: 0.5671, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1523, root_relative_squared_error: 0.6744, scimark_benchmark: 1869.4196, usercpu_time_millis: 16.647, usercpu_time_millis_testing: 1.869, usercpu_time_millis_training: 14.778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.9198, kb_relative_information_score: -5.2256, 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: 0.9989, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1736.6893, usercpu_time_millis: 4.427, usercpu_time_millis_testing: 0.658, usercpu_time_millis_training: 3.769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9813, kappa: 0.807, kb_relative_information_score: 2768.9108, mean_absolute_error: 0.0331, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9815, predictive_accuracy: 0.9822, prior_entropy: 0.3037, recall: 0.9822, relative_absolute_error: 0.3241, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1154, root_relative_squared_error: 0.5107, scimark_benchmark: 1874.8648, usercpu_time_millis: 5.164, usercpu_time_millis_testing: 0.27, usercpu_time_millis_training: 4.894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.9198, kb_relative_information_score: -10.5969, 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: 0.9984, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1871.1584, usercpu_time_millis: 1.52, usercpu_time_millis_testing: 0.192, usercpu_time_millis_training: 1.328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9843, kappa: 0.8433, kb_relative_information_score: 3097.0843, mean_absolute_error: 0.0247, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9841, predictive_accuracy: 0.9845, prior_entropy: 0.3037, recall: 0.9845, relative_absolute_error: 0.2412, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1077, root_relative_squared_error: 0.4769, scimark_benchmark: 1858.4577, usercpu_time_millis: 29.209, usercpu_time_millis_testing: 1.287, usercpu_time_millis_training: 27.922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9563, f_measure: 0.9463, kappa: 0.3703, kb_relative_information_score: 364.031, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9575, predictive_accuracy: 0.9583, prior_entropy: 0.3037, recall: 0.9583, relative_absolute_error: 0.7092, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1738, root_relative_squared_error: 0.7696, scimark_benchmark: 1873.4078, usercpu_time_millis: 6.214, usercpu_time_millis_testing: 0.315, usercpu_time_millis_training: 5.899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.9198, kb_relative_information_score: -6.6525, mean_absolute_error: 0.1018, 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: 0.9955, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1872.9496, usercpu_time_millis: 0.302, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 0.275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.9431, kappa: 0.324, kb_relative_information_score: 411.8748, mean_absolute_error: 0.0724, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9579, predictive_accuracy: 0.9568, prior_entropy: 0.3037, recall: 0.9568, relative_absolute_error: 0.7083, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1727, root_relative_squared_error: 0.7645, scimark_benchmark: 1861.896, usercpu_time_millis: 15.66, usercpu_time_millis_testing: 1.825, usercpu_time_millis_training: 13.835,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9744, kappa: 0.7302, kb_relative_information_score: 2224.2511, mean_absolute_error: 0.0409, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9752, predictive_accuracy: 0.9764, prior_entropy: 0.3037, recall: 0.9764, relative_absolute_error: 0.4004, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1264, root_relative_squared_error: 0.5596, scimark_benchmark: 1842.0565, usercpu_time_millis: 21.212, usercpu_time_millis_testing: 2.245, usercpu_time_millis_training: 18.967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9837, kappa: 0.8361, kb_relative_information_score: 3074.6361, mean_absolute_error: 0.0261, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9836, predictive_accuracy: 0.9841, prior_entropy: 0.3037, recall: 0.9841, relative_absolute_error: 0.2551, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1089, root_relative_squared_error: 0.4823, scimark_benchmark: 1856.1701, usercpu_time_millis: 16.365, usercpu_time_millis_testing: 0.866, usercpu_time_millis_training: 15.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8016, f_measure: 0.9198, kb_relative_information_score: -4546.079, mean_absolute_error: 0.0978, 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: 0.9565, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2202, root_relative_squared_error: 0.9749, scimark_benchmark: 1865.6416, usercpu_time_millis: 16.729, usercpu_time_millis_testing: 1.163, usercpu_time_millis_training: 15.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9815, kappa: 0.8108, kb_relative_information_score: 2859.8971, mean_absolute_error: 0.0307, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9815, predictive_accuracy: 0.9822, prior_entropy: 0.3037, recall: 0.9822, relative_absolute_error: 0.3, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1117, root_relative_squared_error: 0.4947, scimark_benchmark: 1860.8554, usercpu_time_millis: 27.388, usercpu_time_millis_testing: 1.989, usercpu_time_millis_training: 25.399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9799, kappa: 0.7927, kb_relative_information_score: 2701.2449, mean_absolute_error: 0.0337, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9802, predictive_accuracy: 0.981, prior_entropy: 0.3037, recall: 0.981, relative_absolute_error: 0.3296, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1156, root_relative_squared_error: 0.5118, scimark_benchmark: 1759.0268, usercpu_time_millis: 22.595, usercpu_time_millis_testing: 1.762, usercpu_time_millis_training: 20.833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9805, kappa: 0.7991, kb_relative_information_score: 2736.9933, mean_absolute_error: 0.0344, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9809, predictive_accuracy: 0.9816, prior_entropy: 0.3037, recall: 0.9816, relative_absolute_error: 0.3362, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1157, root_relative_squared_error: 0.5124, scimark_benchmark: 1858.9715, usercpu_time_millis: 25.528, usercpu_time_millis_testing: 2.061, usercpu_time_millis_training: 23.467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9816, kappa: 0.8145, kb_relative_information_score: 2771.757, mean_absolute_error: 0.0299, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9815, predictive_accuracy: 0.9822, prior_entropy: 0.3037, recall: 0.9822, relative_absolute_error: 0.2928, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1132, root_relative_squared_error: 0.501, scimark_benchmark: 1865.8853, usercpu_time_millis: 14.901, usercpu_time_millis_testing: 0.878, usercpu_time_millis_training: 14.023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9805, kappa: 0.8005, kb_relative_information_score: 2398.0375, mean_absolute_error: 0.0366, 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: 0.3585, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1214, root_relative_squared_error: 0.5373, scimark_benchmark: 1842.5593, usercpu_time_millis: 20.112, usercpu_time_millis_testing: 1.355, usercpu_time_millis_training: 18.757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9378, f_measure: 0.9198, kb_relative_information_score: -1172.0483, mean_absolute_error: 0.0941, 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: 0.921, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2099, root_relative_squared_error: 0.9294, scimark_benchmark: 1867.5973, usercpu_time_millis: 7.381, usercpu_time_millis_testing: 0.91, usercpu_time_millis_training: 6.471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9776, kappa: 0.7633, kb_relative_information_score: 2550.0358, mean_absolute_error: 0.0381, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9787, predictive_accuracy: 0.9793, prior_entropy: 0.3037, recall: 0.9793, relative_absolute_error: 0.3728, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1219, root_relative_squared_error: 0.5394, scimark_benchmark: 1870.4545, usercpu_time_millis: 6.543, usercpu_time_millis_testing: 0.613, usercpu_time_millis_training: 5.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9841, kappa: 0.8427, kb_relative_information_score: 3046.4202, mean_absolute_error: 0.0242, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.984, predictive_accuracy: 0.9843, prior_entropy: 0.3037, recall: 0.9843, relative_absolute_error: 0.2367, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1089, root_relative_squared_error: 0.4823, scimark_benchmark: 1863.1711, usercpu_time_millis: 23.718, usercpu_time_millis_testing: 1.1, usercpu_time_millis_training: 22.618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9794, kappa: 0.7935, kb_relative_information_score: 2286.1409, mean_absolute_error: 0.0364, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9792, predictive_accuracy: 0.98, prior_entropy: 0.3037, recall: 0.98, relative_absolute_error: 0.3557, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1241, root_relative_squared_error: 0.5493, scimark_benchmark: 1867.0876, usercpu_time_millis: 5.205, usercpu_time_millis_testing: 0.207, usercpu_time_millis_training: 4.998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9661, kappa: 0.6277, kb_relative_information_score: 1477.0668, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9693, predictive_accuracy: 0.9704, prior_entropy: 0.3037, recall: 0.9704, relative_absolute_error: 0.547, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1483, root_relative_squared_error: 0.6563, scimark_benchmark: 1871.5019, usercpu_time_millis: 5.915, usercpu_time_millis_testing: 0.521, usercpu_time_millis_training: 5.394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.9692, kappa: 0.6785, kb_relative_information_score: 1237.6114, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.969, predictive_accuracy: 0.9713, prior_entropy: 0.3037, recall: 0.9713, relative_absolute_error: 0.5168, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1535, root_relative_squared_error: 0.6796, scimark_benchmark: 1861.9586, usercpu_time_millis: 11.267, usercpu_time_millis_testing: 0.501, usercpu_time_millis_training: 10.766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.9684, kappa: 0.6619, kb_relative_information_score: 1201.7211, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9695, predictive_accuracy: 0.9715, prior_entropy: 0.3037, recall: 0.9715, relative_absolute_error: 0.5461, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1518, root_relative_squared_error: 0.6721, scimark_benchmark: 1859.146, usercpu_time_millis: 3.907, usercpu_time_millis_testing: 0.246, usercpu_time_millis_training: 3.661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9756, kappa: 0.75, kb_relative_information_score: 2087.7924, mean_absolute_error: 0.0405, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9753, predictive_accuracy: 0.9766, prior_entropy: 0.3037, recall: 0.9766, relative_absolute_error: 0.3958, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1287, root_relative_squared_error: 0.5696, scimark_benchmark: 1861.3749, usercpu_time_millis: 4.271, usercpu_time_millis_testing: 0.213, usercpu_time_millis_training: 4.058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9621, f_measure: 0.9198, kb_relative_information_score: -227.5251, mean_absolute_error: 0.0805, 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: 0.787, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1859, root_relative_squared_error: 0.823, scimark_benchmark: 1873.0711, usercpu_time_millis: 2.854, usercpu_time_millis_testing: 0.206, usercpu_time_millis_training: 2.648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9831, kappa: 0.8313, kb_relative_information_score: 3095.888, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.983, predictive_accuracy: 0.9835, prior_entropy: 0.3037, recall: 0.9835, relative_absolute_error: 0.2525, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1095, root_relative_squared_error: 0.4849, scimark_benchmark: 1858.9715, usercpu_time_millis: 10.087, usercpu_time_millis_testing: 0.475, usercpu_time_millis_training: 9.612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9813, kappa: 0.807, kb_relative_information_score: 2725.9637, mean_absolute_error: 0.034, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9815, predictive_accuracy: 0.9822, prior_entropy: 0.3037, recall: 0.9822, relative_absolute_error: 0.3331, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1153, root_relative_squared_error: 0.5106, scimark_benchmark: 1870.5228, usercpu_time_millis: 22.257, usercpu_time_millis_testing: 1.464, usercpu_time_millis_training: 20.793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9805, kappa: 0.7997, kb_relative_information_score: 2583.1009, mean_absolute_error: 0.0341, 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: 0.3338, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1168, root_relative_squared_error: 0.5171, scimark_benchmark: 1872.4216, usercpu_time_millis: 14.138, usercpu_time_millis_testing: 0.846, usercpu_time_millis_training: 13.292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9678, f_measure: 0.9609, kappa: 0.5647, kb_relative_information_score: 651.022, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9651, predictive_accuracy: 0.9667, prior_entropy: 0.3037, recall: 0.9667, relative_absolute_error: 0.6522, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1658, root_relative_squared_error: 0.7338, scimark_benchmark: 1871.8964, usercpu_time_millis: 23.014, usercpu_time_millis_testing: 1.574, usercpu_time_millis_training: 21.44,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9349, f_measure: 0.9198, kb_relative_information_score: -1499.8863, mean_absolute_error: 0.0903, 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: 0.883, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2032, root_relative_squared_error: 0.8996, scimark_benchmark: 1860.4615, usercpu_time_millis: 2.987, usercpu_time_millis_testing: 0.186, usercpu_time_millis_training: 2.801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9603, f_measure: 0.9487, kappa: 0.4041, kb_relative_information_score: 361.5702, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9574, predictive_accuracy: 0.9593, prior_entropy: 0.3037, recall: 0.9593, relative_absolute_error: 0.6997, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1723, root_relative_squared_error: 0.7629, scimark_benchmark: 1848.372, usercpu_time_millis: 14.48, usercpu_time_millis_testing: 0.945, usercpu_time_millis_training: 13.535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.9198, kb_relative_information_score: 5.2601, 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: 0.9979, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1865.4271, usercpu_time_millis: 3.18, usercpu_time_millis_testing: 0.655, usercpu_time_millis_training: 2.525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.9674, kappa: 0.6492, kb_relative_information_score: 1106.2559, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9689, predictive_accuracy: 0.9709, prior_entropy: 0.3037, recall: 0.9709, relative_absolute_error: 0.576, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.156, root_relative_squared_error: 0.6905, scimark_benchmark: 1753.6457, usercpu_time_millis: 17.735, usercpu_time_millis_testing: 1.34, usercpu_time_millis_training: 16.395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9797, kappa: 0.7901, kb_relative_information_score: 2593.7018, mean_absolute_error: 0.0349, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9799, predictive_accuracy: 0.9808, prior_entropy: 0.3037, recall: 0.9808, relative_absolute_error: 0.3414, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1178, root_relative_squared_error: 0.5215, scimark_benchmark: 1872.9496, usercpu_time_millis: 6.606, usercpu_time_millis_testing: 0.32, usercpu_time_millis_training: 6.286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9792, kappa: 0.7839, kb_relative_information_score: 2555.8346, mean_absolute_error: 0.0365, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9798, predictive_accuracy: 0.9806, prior_entropy: 0.3037, recall: 0.9806, relative_absolute_error: 0.3566, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1189, root_relative_squared_error: 0.5261, scimark_benchmark: 1864.6011, usercpu_time_millis: 19.737, usercpu_time_millis_testing: 1.401, usercpu_time_millis_training: 18.336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9326, f_measure: 0.9198, kb_relative_information_score: -1397.0718, mean_absolute_error: 0.0889, 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: 0.8699, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2004, root_relative_squared_error: 0.887, scimark_benchmark: 1866.2237, usercpu_time_millis: 0.991, usercpu_time_millis_testing: 0.063, usercpu_time_millis_training: 0.928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9595, f_measure: 0.968, kappa: 0.6684, kb_relative_information_score: 1020.3586, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9675, predictive_accuracy: 0.9698, prior_entropy: 0.3037, recall: 0.9698, relative_absolute_error: 0.5754, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1617, root_relative_squared_error: 0.7157, scimark_benchmark: 1861.1843, usercpu_time_millis: 1.918, usercpu_time_millis_testing: 0.205, usercpu_time_millis_training: 1.713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9689, f_measure: 0.9691, kappa: 0.6747, kb_relative_information_score: 1138.9672, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9692, predictive_accuracy: 0.9715, prior_entropy: 0.3037, recall: 0.9715, relative_absolute_error: 0.5167, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1537, root_relative_squared_error: 0.6803, scimark_benchmark: 1868.8974, usercpu_time_millis: 13.652, usercpu_time_millis_testing: 0.698, usercpu_time_millis_training: 12.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.9198, kb_relative_information_score: -3.3004, 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: 1865.4271, usercpu_time_millis: 1.356, usercpu_time_millis_testing: 0.153, usercpu_time_millis_training: 1.203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.9198, kb_relative_information_score: -43.6999, 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: 0.9991, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1870.9768, usercpu_time_millis: 1.369, usercpu_time_millis_testing: 0.123, usercpu_time_millis_training: 1.246,

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