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: 0.9906, f_measure: 0.9843, kappa: 0.8433, kb_relative_information_score: 3112.8244, mean_absolute_error: 0.0246, 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: 0.2403, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1077, root_relative_squared_error: 0.4768, scimark_benchmark: 1874.5188, usercpu_time_millis: 21.165, usercpu_time_millis_testing: 0.84, usercpu_time_millis_training: 20.325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9743, kappa: 0.7363, kb_relative_information_score: 2036.6237, mean_absolute_error: 0.0414, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9741, predictive_accuracy: 0.9756, prior_entropy: 0.3037, recall: 0.9756, relative_absolute_error: 0.4051, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1307, root_relative_squared_error: 0.5784, scimark_benchmark: 1874.4489, usercpu_time_millis: 15.673, usercpu_time_millis_testing: 0.851, usercpu_time_millis_training: 14.822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9669, kappa: 0.6412, kb_relative_information_score: 1114.5214, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9689, predictive_accuracy: 0.9707, prior_entropy: 0.3037, recall: 0.9707, relative_absolute_error: 0.5777, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1541, root_relative_squared_error: 0.6823, scimark_benchmark: 1843.1261, usercpu_time_millis: 15.152, usercpu_time_millis_testing: 1.207, usercpu_time_millis_training: 13.945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9839, kappa: 0.8385, kb_relative_information_score: 2901.6306, mean_absolute_error: 0.0283, 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: 0.2766, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1098, root_relative_squared_error: 0.4862, scimark_benchmark: 1928.6987, usercpu_time_millis: 17.62, usercpu_time_millis_testing: 0.907, usercpu_time_millis_training: 16.713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9546, f_measure: 0.9198, kb_relative_information_score: -1225.5744, mean_absolute_error: 0.0859, 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: 0.8403, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.8643, scimark_benchmark: 1875.5079, usercpu_time_millis: 12.329, usercpu_time_millis_testing: 1.034, usercpu_time_millis_training: 11.295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9674, kappa: 0.6492, kb_relative_information_score: 1443.9146, mean_absolute_error: 0.0539, 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: 0.5271, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1459, root_relative_squared_error: 0.6457, scimark_benchmark: 1844.5767, usercpu_time_millis: 13.27, usercpu_time_millis_testing: 1.007, usercpu_time_millis_training: 12.263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9798, kappa: 0.7926, kb_relative_information_score: 2696.2669, mean_absolute_error: 0.032, 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: 0.3133, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1157, root_relative_squared_error: 0.5121, scimark_benchmark: 1870.742, usercpu_time_millis: 10.511, usercpu_time_millis_testing: 0.784, usercpu_time_millis_training: 9.727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9578, kappa: 0.5191, kb_relative_information_score: 1158.7509, mean_absolute_error: 0.0623, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9654, predictive_accuracy: 0.9653, prior_entropy: 0.3037, recall: 0.9653, relative_absolute_error: 0.6098, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1566, root_relative_squared_error: 0.6931, scimark_benchmark: 1836.7098, usercpu_time_millis: 10.914, usercpu_time_millis_testing: 1.106, usercpu_time_millis_training: 9.808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8936, f_measure: 0.9198, kb_relative_information_score: -4030.1592, mean_absolute_error: 0.0945, 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: 0.9242, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.213, root_relative_squared_error: 0.943, scimark_benchmark: 1876.2965, usercpu_time_millis: 9.63, usercpu_time_millis_testing: 0.61, usercpu_time_millis_training: 9.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9593, f_measure: 0.9247, kappa: 0.0695, kb_relative_information_score: 56.3287, mean_absolute_error: 0.0775, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9459, predictive_accuracy: 0.9479, prior_entropy: 0.3037, recall: 0.9479, relative_absolute_error: 0.7579, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1807, root_relative_squared_error: 0.7998, scimark_benchmark: 1869.6309, usercpu_time_millis: 8.771, usercpu_time_millis_testing: 0.745, usercpu_time_millis_training: 8.026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9648, kappa: 0.6099, kb_relative_information_score: 1400.7864, mean_absolute_error: 0.058, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9693, predictive_accuracy: 0.9698, prior_entropy: 0.3037, recall: 0.9698, relative_absolute_error: 0.5672, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1514, root_relative_squared_error: 0.6704, scimark_benchmark: 1873.9908, usercpu_time_millis: 6.712, usercpu_time_millis_testing: 0.744, usercpu_time_millis_training: 5.968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9835, kappa: 0.8349, kb_relative_information_score: 2985.3364, mean_absolute_error: 0.0276, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9834, predictive_accuracy: 0.9839, prior_entropy: 0.3037, recall: 0.9839, relative_absolute_error: 0.27, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1086, root_relative_squared_error: 0.4809, scimark_benchmark: 1925.3015, usercpu_time_millis: 10.208, usercpu_time_millis_testing: 0.391, usercpu_time_millis_training: 9.817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9066, f_measure: 0.9198, kb_relative_information_score: -1941.9268, mean_absolute_error: 0.0985, 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: 0.9632, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2188, root_relative_squared_error: 0.9687, scimark_benchmark: 1873.4078, usercpu_time_millis: 7.578, usercpu_time_millis_testing: 0.702, usercpu_time_millis_training: 6.876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.9198, kb_relative_information_score: 2.1464, 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: 1868.6447, usercpu_time_millis: 3.32, usercpu_time_millis_testing: 0.6, usercpu_time_millis_training: 2.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, f_measure: 0.9198, kb_relative_information_score: -4.4109, 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: 0.999, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1870.557, usercpu_time_millis: 1.761, usercpu_time_millis_testing: 0.184, usercpu_time_millis_training: 1.577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, f_measure: 0.9198, kb_relative_information_score: 3.5914, 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: 1862.7302, usercpu_time_millis: 3.611, usercpu_time_millis_testing: 0.85, usercpu_time_millis_training: 2.761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, f_measure: 0.9198, kb_relative_information_score: -11.9206, 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: 0.9988, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1876.6882, usercpu_time_millis: 1.642, usercpu_time_millis_testing: 0.222, usercpu_time_millis_training: 1.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9827, kappa: 0.8271, kb_relative_information_score: 2972.3931, mean_absolute_error: 0.0269, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9825, predictive_accuracy: 0.9831, prior_entropy: 0.3037, recall: 0.9831, relative_absolute_error: 0.2629, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1098, root_relative_squared_error: 0.4859, scimark_benchmark: 1940.4655, usercpu_time_millis: 2.255, usercpu_time_millis_testing: 0.092, usercpu_time_millis_training: 2.163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.9198, kb_relative_information_score: -125.4654, 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: 0.9998, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1865.8853, usercpu_time_millis: 0.328, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 0.284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.9795, kappa: 0.8004, kb_relative_information_score: 2848.526, mean_absolute_error: 0.0272, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9797, predictive_accuracy: 0.9793, prior_entropy: 0.3037, recall: 0.9793, relative_absolute_error: 0.2657, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1276, root_relative_squared_error: 0.565, scimark_benchmark: 1846.6923, usercpu_time_millis: 2.215, usercpu_time_millis_testing: 0.053, usercpu_time_millis_training: 2.162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9837, kappa: 0.8386, kb_relative_information_score: 3092.023, mean_absolute_error: 0.0234, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9836, predictive_accuracy: 0.9839, prior_entropy: 0.3037, recall: 0.9839, relative_absolute_error: 0.2292, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1103, root_relative_squared_error: 0.4882, scimark_benchmark: 1859.2172, usercpu_time_millis: 58.055, usercpu_time_millis_testing: 2.657, usercpu_time_millis_training: 55.398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9837, kappa: 0.838, kb_relative_information_score: 3184.9937, mean_absolute_error: 0.0231, 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: 0.2259, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1102, root_relative_squared_error: 0.4878, scimark_benchmark: 1872.8797, usercpu_time_millis: 56.708, usercpu_time_millis_testing: 2.706, usercpu_time_millis_training: 54.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9818, kappa: 0.8163, kb_relative_information_score: 2629.8579, mean_absolute_error: 0.0331, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9817, predictive_accuracy: 0.9824, prior_entropy: 0.3037, recall: 0.9824, relative_absolute_error: 0.3236, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1154, root_relative_squared_error: 0.5109, scimark_benchmark: 1842.5344, usercpu_time_millis: 47.714, usercpu_time_millis_testing: 2.399, usercpu_time_millis_training: 45.315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9822, kappa: 0.8237, kb_relative_information_score: 3224.889, mean_absolute_error: 0.0222, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9821, predictive_accuracy: 0.9824, prior_entropy: 0.3037, recall: 0.9824, relative_absolute_error: 0.2172, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.115, root_relative_squared_error: 0.5093, scimark_benchmark: 1833.0505, usercpu_time_millis: 44.093, usercpu_time_millis_testing: 1.869, usercpu_time_millis_training: 42.224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9639, f_measure: 0.9689, kappa: 0.6731, kb_relative_information_score: 971.8868, mean_absolute_error: 0.0603, 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: 0.59, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1605, root_relative_squared_error: 0.7104, scimark_benchmark: 1784.9591, usercpu_time_millis: 27.427, usercpu_time_millis_testing: 1.386, usercpu_time_millis_training: 26.041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9366, f_measure: 0.9682, kappa: 0.6724, kb_relative_information_score: 766.5414, mean_absolute_error: 0.0522, 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: 0.5104, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1626, root_relative_squared_error: 0.7198, scimark_benchmark: 1849.3014, usercpu_time_millis: 28.732, usercpu_time_millis_testing: 1.069, usercpu_time_millis_training: 27.663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.982, kappa: 0.8174, kb_relative_information_score: 2792.928, mean_absolute_error: 0.0308, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9819, predictive_accuracy: 0.9826, prior_entropy: 0.3037, recall: 0.9826, relative_absolute_error: 0.3012, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1129, root_relative_squared_error: 0.4999, scimark_benchmark: 1846.1774, usercpu_time_millis: 24.707, usercpu_time_millis_testing: 1.754, usercpu_time_millis_training: 22.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9735, kappa: 0.7284, kb_relative_information_score: 2027.2794, mean_absolute_error: 0.0418, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9732, predictive_accuracy: 0.9748, prior_entropy: 0.3037, recall: 0.9748, relative_absolute_error: 0.4089, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1317, root_relative_squared_error: 0.5831, scimark_benchmark: 1869.9351, usercpu_time_millis: 20.848, usercpu_time_millis_testing: 1.153, usercpu_time_millis_training: 19.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.971, kappa: 0.6862, kb_relative_information_score: 2188.6254, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9734, predictive_accuracy: 0.9742, prior_entropy: 0.3037, recall: 0.9742, relative_absolute_error: 0.4453, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1317, root_relative_squared_error: 0.5832, scimark_benchmark: 1918.8557, usercpu_time_millis: 20.473, usercpu_time_millis_testing: 1.919, usercpu_time_millis_training: 18.554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9816, kappa: 0.8145, kb_relative_information_score: 2697.8352, mean_absolute_error: 0.0318, 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: 0.3109, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1142, root_relative_squared_error: 0.5055, scimark_benchmark: 1867.725, usercpu_time_millis: 19.86, usercpu_time_millis_testing: 1.282, usercpu_time_millis_training: 18.578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9835, kappa: 0.838, kb_relative_information_score: 2970.3993, mean_absolute_error: 0.025, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9835, predictive_accuracy: 0.9835, prior_entropy: 0.3037, recall: 0.9835, relative_absolute_error: 0.2444, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1131, root_relative_squared_error: 0.5008, scimark_benchmark: 1784.4848, usercpu_time_millis: 16.23, usercpu_time_millis_testing: 0.506, usercpu_time_millis_training: 15.724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9633, f_measure: 0.9634, kappa: 0.6023, kb_relative_information_score: 715.5743, mean_absolute_error: 0.0653, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9647, predictive_accuracy: 0.9676, prior_entropy: 0.3037, recall: 0.9676, relative_absolute_error: 0.6384, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1652, root_relative_squared_error: 0.7311, scimark_benchmark: 1876.6882, usercpu_time_millis: 16.994, usercpu_time_millis_testing: 1.221, usercpu_time_millis_training: 15.773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.98, kappa: 0.7952, kb_relative_information_score: 2672.3422, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9801, predictive_accuracy: 0.981, prior_entropy: 0.3037, recall: 0.981, relative_absolute_error: 0.3156, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1161, root_relative_squared_error: 0.5138, scimark_benchmark: 1869.4196, usercpu_time_millis: 13.787, usercpu_time_millis_testing: 1.053, usercpu_time_millis_training: 12.734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9577, f_measure: 0.9198, kb_relative_information_score: -546.9665, mean_absolute_error: 0.0848, 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: 0.8297, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1932, root_relative_squared_error: 0.8552, scimark_benchmark: 1860.6133, usercpu_time_millis: 12.857, usercpu_time_millis_testing: 1.36, usercpu_time_millis_training: 11.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9723, kappa: 0.709, kb_relative_information_score: 2028.6473, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9727, predictive_accuracy: 0.9744, prior_entropy: 0.3037, recall: 0.9744, relative_absolute_error: 0.4189, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1302, root_relative_squared_error: 0.5765, scimark_benchmark: 1847.084, usercpu_time_millis: 15.974, usercpu_time_millis_testing: 1.141, usercpu_time_millis_training: 14.833,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8021, f_measure: 0.9198, kb_relative_information_score: -2655.1677, 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: 0.9712, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2211, root_relative_squared_error: 0.9787, scimark_benchmark: 1872.4881, usercpu_time_millis: 5.268, usercpu_time_millis_testing: 0.397, usercpu_time_millis_training: 4.871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.9198, kb_relative_information_score: -2.4684, 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: 6.155, usercpu_time_millis_testing: 0.918, usercpu_time_millis_training: 5.237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.9677, kappa: 0.6525, kb_relative_information_score: 1106.2637, mean_absolute_error: 0.0585, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9691, predictive_accuracy: 0.9711, prior_entropy: 0.3037, recall: 0.9711, relative_absolute_error: 0.5725, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1553, root_relative_squared_error: 0.6876, scimark_benchmark: 1865.6428, usercpu_time_millis: 2.685, usercpu_time_millis_testing: 0.164, usercpu_time_millis_training: 2.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, f_measure: 0.9198, kb_relative_information_score: 3.5813, 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: 1872.3546, usercpu_time_millis: 3.968, usercpu_time_millis_testing: 0.926, usercpu_time_millis_training: 3.042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8662, f_measure: 0.9198, kb_relative_information_score: -1214.7096, mean_absolute_error: 0.1004, 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: 0.9822, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2224, root_relative_squared_error: 0.9844, scimark_benchmark: 1873.9908, usercpu_time_millis: 0.904, usercpu_time_millis_testing: 0.1, usercpu_time_millis_training: 0.804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9742, kappa: 0.7267, kb_relative_information_score: 2132.1182, mean_absolute_error: 0.0425, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9754, predictive_accuracy: 0.9764, prior_entropy: 0.3037, recall: 0.9764, relative_absolute_error: 0.4161, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1284, root_relative_squared_error: 0.5684, scimark_benchmark: 2019.0073, usercpu_time_millis: 1.525, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 1.455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9824, kappa: 0.821, kb_relative_information_score: 2959.0816, mean_absolute_error: 0.0292, 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: 0.2858, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1129, root_relative_squared_error: 0.5, scimark_benchmark: 1864.8991, usercpu_time_millis: 2.369, usercpu_time_millis_testing: 0.125, usercpu_time_millis_training: 2.244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.9198, kb_relative_information_score: 3.1029, 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: 0.9988, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1851.0015, usercpu_time_millis: 4.487, usercpu_time_millis_testing: 0.75, usercpu_time_millis_training: 3.737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9654, f_measure: 0.9693, kappa: 0.6811, kb_relative_information_score: 1078.7981, mean_absolute_error: 0.0522, 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: 0.5103, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1555, root_relative_squared_error: 0.6883, scimark_benchmark: 1875.7685, usercpu_time_millis: 1.366, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 1.322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5006, f_measure: 0.9198, kb_relative_information_score: -18.7907, 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: 0.9988, 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: 1.248, usercpu_time_millis_testing: 0.173, usercpu_time_millis_training: 1.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.9696, kappa: 0.6818, kb_relative_information_score: 1287.7389, mean_absolute_error: 0.0521, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9695, predictive_accuracy: 0.9717, prior_entropy: 0.3037, recall: 0.9717, relative_absolute_error: 0.51, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1517, root_relative_squared_error: 0.6714, scimark_benchmark: 1830.8127, usercpu_time_millis: 2.454, usercpu_time_millis_testing: 0.115, usercpu_time_millis_training: 2.339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.875, f_measure: 0.9198, kb_relative_information_score: -1548.8901, mean_absolute_error: 0.0992, 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: 0.9707, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2206, root_relative_squared_error: 0.9768, scimark_benchmark: 1865.1205, usercpu_time_millis: 0.243, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 0.213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, f_measure: 0.9198, kb_relative_information_score: 9.0952, 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: 0.9963, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1862.932, usercpu_time_millis: 0.345, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 0.299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9835, kappa: 0.8362, kb_relative_information_score: 2822.7785, mean_absolute_error: 0.0279, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9833, predictive_accuracy: 0.9837, prior_entropy: 0.3037, recall: 0.9837, relative_absolute_error: 0.2729, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1122, root_relative_squared_error: 0.4967, scimark_benchmark: 1831.2156, usercpu_time_millis: 48.795, usercpu_time_millis_testing: 2.43, usercpu_time_millis_training: 46.365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9826, kappa: 0.8244, kb_relative_information_score: 2785.3889, mean_absolute_error: 0.0308, 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: 0.3013, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1122, root_relative_squared_error: 0.4966, scimark_benchmark: 1813.2514, usercpu_time_millis: 45.552, usercpu_time_millis_testing: 2.658, usercpu_time_millis_training: 42.894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9806, kappa: 0.7999, kb_relative_information_score: 2688.547, mean_absolute_error: 0.0343, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9808, predictive_accuracy: 0.9816, prior_entropy: 0.3037, recall: 0.9816, relative_absolute_error: 0.336, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1163, root_relative_squared_error: 0.5146, scimark_benchmark: 1859.4345, usercpu_time_millis: 37.944, usercpu_time_millis_testing: 2.64, usercpu_time_millis_training: 35.304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9719, kappa: 0.6972, kb_relative_information_score: 2303.3549, mean_absolute_error: 0.0439, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.974, predictive_accuracy: 0.9748, prior_entropy: 0.3037, recall: 0.9748, relative_absolute_error: 0.4294, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1301, root_relative_squared_error: 0.576, scimark_benchmark: 1837.6808, usercpu_time_millis: 35.914, usercpu_time_millis_testing: 3.635, usercpu_time_millis_training: 32.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9841, kappa: 0.8415, kb_relative_information_score: 3084.247, mean_absolute_error: 0.025, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9839, predictive_accuracy: 0.9843, prior_entropy: 0.3037, recall: 0.9843, relative_absolute_error: 0.2446, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1075, root_relative_squared_error: 0.4758, scimark_benchmark: 1858.7902, usercpu_time_millis: 36.82, usercpu_time_millis_testing: 1.684, usercpu_time_millis_training: 35.136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.981, kappa: 0.8084, kb_relative_information_score: 2675.3656, mean_absolute_error: 0.0312, 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: 0.305, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.115, root_relative_squared_error: 0.5089, scimark_benchmark: 1875.6335, usercpu_time_millis: 28.615, usercpu_time_millis_testing: 1.864, usercpu_time_millis_training: 26.751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.967, kappa: 0.6486, kb_relative_information_score: 1013.5202, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9675, predictive_accuracy: 0.97, prior_entropy: 0.3037, recall: 0.97, relative_absolute_error: 0.5821, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1604, root_relative_squared_error: 0.7099, scimark_benchmark: 1787.7241, usercpu_time_millis: 24.943, usercpu_time_millis_testing: 1.448, usercpu_time_millis_training: 23.495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9781, kappa: 0.7719, kb_relative_information_score: 2629.1598, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9786, predictive_accuracy: 0.9795, prior_entropy: 0.3037, recall: 0.9795, relative_absolute_error: 0.3536, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.118, root_relative_squared_error: 0.5222, scimark_benchmark: 1816.6943, usercpu_time_millis: 30.208, usercpu_time_millis_testing: 2.294, usercpu_time_millis_training: 27.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9813, kappa: 0.8097, kb_relative_information_score: 2822.6045, mean_absolute_error: 0.0305, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9813, predictive_accuracy: 0.982, prior_entropy: 0.3037, recall: 0.982, relative_absolute_error: 0.2981, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1123, root_relative_squared_error: 0.4972, scimark_benchmark: 1830.0193, usercpu_time_millis: 26.129, usercpu_time_millis_testing: 1.97, usercpu_time_millis_training: 24.159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9798, kappa: 0.7911, kb_relative_information_score: 2586.9459, mean_absolute_error: 0.0351, 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: 0.343, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1175, root_relative_squared_error: 0.52, scimark_benchmark: 1824.4958, usercpu_time_millis: 24.025, usercpu_time_millis_testing: 1.998, usercpu_time_millis_training: 22.027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.981, kappa: 0.8064, kb_relative_information_score: 2677.4295, mean_absolute_error: 0.0332, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.981, predictive_accuracy: 0.9818, prior_entropy: 0.3037, recall: 0.9818, relative_absolute_error: 0.3247, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1149, root_relative_squared_error: 0.5085, scimark_benchmark: 1781.5914, usercpu_time_millis: 16.526, usercpu_time_millis_testing: 1.078, usercpu_time_millis_training: 15.448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9831, kappa: 0.8333, kb_relative_information_score: 2900.6397, mean_absolute_error: 0.0266, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.983, predictive_accuracy: 0.9833, prior_entropy: 0.3037, recall: 0.9833, relative_absolute_error: 0.2605, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1115, root_relative_squared_error: 0.4937, scimark_benchmark: 1841.727, usercpu_time_millis: 19.174, usercpu_time_millis_testing: 0.555, usercpu_time_millis_training: 18.619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9755, kappa: 0.7415, kb_relative_information_score: 2435.848, mean_absolute_error: 0.0383, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9765, predictive_accuracy: 0.9775, prior_entropy: 0.3037, recall: 0.9775, relative_absolute_error: 0.3744, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1241, root_relative_squared_error: 0.5492, scimark_benchmark: 1788.249, usercpu_time_millis: 10.031, usercpu_time_millis_testing: 0.987, usercpu_time_millis_training: 9.044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9146, f_measure: 0.9198, kb_relative_information_score: -2204.7793, mean_absolute_error: 0.0907, 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: 0.8873, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2042, root_relative_squared_error: 0.9038, scimark_benchmark: 1835.3457, usercpu_time_millis: 14.34, usercpu_time_millis_testing: 1.136, usercpu_time_millis_training: 13.204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9819, kappa: 0.8193, kb_relative_information_score: 2368.3536, mean_absolute_error: 0.035, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9817, predictive_accuracy: 0.9822, prior_entropy: 0.3037, recall: 0.9822, relative_absolute_error: 0.3426, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1225, root_relative_squared_error: 0.5423, scimark_benchmark: 1817.6321, usercpu_time_millis: 13.16, usercpu_time_millis_testing: 0.48, usercpu_time_millis_training: 12.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8463, f_measure: 0.9198, kb_relative_information_score: -1102.9415, 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: 0.973, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2206, root_relative_squared_error: 0.9766, scimark_benchmark: 1857.8893, usercpu_time_millis: 11.005, usercpu_time_millis_testing: 1.092, usercpu_time_millis_training: 9.913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9364, f_measure: 0.9198, kb_relative_information_score: -915.4922, mean_absolute_error: 0.0922, 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: 0.902, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2062, root_relative_squared_error: 0.9128, scimark_benchmark: 1860.3354, usercpu_time_millis: 11.078, usercpu_time_millis_testing: 1.098, usercpu_time_millis_training: 9.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9724, kappa: 0.7034, kb_relative_information_score: 2294.4925, mean_absolute_error: 0.0438, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9744, predictive_accuracy: 0.9752, prior_entropy: 0.3037, recall: 0.9752, relative_absolute_error: 0.4286, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1293, root_relative_squared_error: 0.5724, scimark_benchmark: 1829.1305, usercpu_time_millis: 9.003, usercpu_time_millis_testing: 0.706, usercpu_time_millis_training: 8.297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8477, f_measure: 0.9198, kb_relative_information_score: -3722.9355, mean_absolute_error: 0.0979, 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: 0.9582, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2194, root_relative_squared_error: 0.9714, scimark_benchmark: 1835.3457, usercpu_time_millis: 10.798, usercpu_time_millis_testing: 0.696, usercpu_time_millis_training: 10.102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9656, f_measure: 0.936, kappa: 0.2266, kb_relative_information_score: 61.1094, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9555, predictive_accuracy: 0.9533, prior_entropy: 0.3037, recall: 0.9533, relative_absolute_error: 0.7198, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1751, root_relative_squared_error: 0.7751, scimark_benchmark: 1836.2344, usercpu_time_millis: 7.73, usercpu_time_millis_testing: 0.639, usercpu_time_millis_training: 7.091,

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