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: 0.9896, f_measure: 0.9838, kappa: 0.8367, kb_relative_information_score: 2925.0499, mean_absolute_error: 0.0281, 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: 0.2753, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1091, root_relative_squared_error: 0.4828, scimark_benchmark: 1874.5188, usercpu_time_millis: 21.388, usercpu_time_millis_testing: 1.212, usercpu_time_millis_training: 20.176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9745, kappa: 0.7297, kb_relative_information_score: 2340.3101, mean_absolute_error: 0.0412, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9756, predictive_accuracy: 0.9766, prior_entropy: 0.3037, recall: 0.9766, relative_absolute_error: 0.4035, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.126, root_relative_squared_error: 0.558, scimark_benchmark: 1870.9146, usercpu_time_millis: 30.887, usercpu_time_millis_testing: 2.607, usercpu_time_millis_training: 28.28,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.968, kappa: 0.6557, kb_relative_information_score: 1384.2078, mean_absolute_error: 0.0548, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9693, predictive_accuracy: 0.9713, prior_entropy: 0.3037, recall: 0.9713, relative_absolute_error: 0.536, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1476, root_relative_squared_error: 0.6532, scimark_benchmark: 1839.2154, usercpu_time_millis: 21.122, usercpu_time_millis_testing: 1.525, usercpu_time_millis_training: 19.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9683, kappa: 0.652, kb_relative_information_score: 2064.7648, mean_absolute_error: 0.0491, 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: 0.4803, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1371, root_relative_squared_error: 0.607, scimark_benchmark: 1752.1591, usercpu_time_millis: 16.362, usercpu_time_millis_testing: 1.566, usercpu_time_millis_training: 14.796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9765, kappa: 0.7507, kb_relative_information_score: 2461.403, mean_absolute_error: 0.0401, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.978, predictive_accuracy: 0.9785, prior_entropy: 0.3037, recall: 0.9785, relative_absolute_error: 0.3925, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1244, root_relative_squared_error: 0.5506, scimark_benchmark: 1878.1423, usercpu_time_millis: 9.832, usercpu_time_millis_testing: 0.741, usercpu_time_millis_training: 9.091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9822, kappa: 0.8215, kb_relative_information_score: 2835.8385, mean_absolute_error: 0.0291, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.982, predictive_accuracy: 0.9826, prior_entropy: 0.3037, recall: 0.9826, relative_absolute_error: 0.2846, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1114, root_relative_squared_error: 0.4932, scimark_benchmark: 1869.1727, usercpu_time_millis: 23.53, usercpu_time_millis_testing: 1.38, usercpu_time_millis_training: 22.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9728, f_measure: 0.948, kappa: 0.3909, kb_relative_information_score: 424.3611, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9592, predictive_accuracy: 0.9593, prior_entropy: 0.3037, recall: 0.9593, relative_absolute_error: 0.7018, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1719, root_relative_squared_error: 0.7609, scimark_benchmark: 1873.4078, usercpu_time_millis: 18.962, usercpu_time_millis_testing: 1.9, usercpu_time_millis_training: 17.062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.9741, kappa: 0.7487, kb_relative_information_score: 1978.7812, mean_absolute_error: 0.0402, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9744, predictive_accuracy: 0.9738, prior_entropy: 0.3037, recall: 0.9738, relative_absolute_error: 0.3934, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1471, root_relative_squared_error: 0.6512, scimark_benchmark: 1841.0912, usercpu_time_millis: 51.739, usercpu_time_millis_testing: 1.464, usercpu_time_millis_training: 50.275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.972, kappa: 0.7027, kb_relative_information_score: 1956.3217, mean_absolute_error: 0.0454, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9728, predictive_accuracy: 0.9744, prior_entropy: 0.3037, recall: 0.9744, relative_absolute_error: 0.4439, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1333, root_relative_squared_error: 0.5903, scimark_benchmark: 1836.9154, usercpu_time_millis: 22.269, usercpu_time_millis_testing: 1.393, usercpu_time_millis_training: 20.876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.9219, kappa: 0.0286, kb_relative_information_score: -25.9845, mean_absolute_error: 0.0783, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9497, predictive_accuracy: 0.9469, prior_entropy: 0.3037, recall: 0.9469, relative_absolute_error: 0.7662, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1823, root_relative_squared_error: 0.8069, scimark_benchmark: 1859.3177, usercpu_time_millis: 9.988, usercpu_time_millis_testing: 0.936, usercpu_time_millis_training: 9.052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9759, kappa: 0.7451, kb_relative_information_score: 2458.1972, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9771, predictive_accuracy: 0.9779, prior_entropy: 0.3037, recall: 0.9779, relative_absolute_error: 0.3791, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1235, root_relative_squared_error: 0.5466, scimark_benchmark: 1751.5974, usercpu_time_millis: 13.709, usercpu_time_millis_testing: 1.116, usercpu_time_millis_training: 12.593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, f_measure: 0.9452, kappa: 0.3532, kb_relative_information_score: 396.4744, mean_absolute_error: 0.0722, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9582, predictive_accuracy: 0.9578, prior_entropy: 0.3037, recall: 0.9578, relative_absolute_error: 0.7066, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1728, root_relative_squared_error: 0.7649, scimark_benchmark: 1872.8797, usercpu_time_millis: 7.136, usercpu_time_millis_testing: 0.653, usercpu_time_millis_training: 6.483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9679, f_measure: 0.9209, kappa: 0.0144, kb_relative_information_score: -158.2521, mean_absolute_error: 0.0765, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9493, predictive_accuracy: 0.9465, prior_entropy: 0.3037, recall: 0.9465, relative_absolute_error: 0.7481, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1792, root_relative_squared_error: 0.7935, scimark_benchmark: 1847.6699, usercpu_time_millis: 11.521, usercpu_time_millis_testing: 1.037, usercpu_time_millis_training: 10.484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9827, kappa: 0.8292, kb_relative_information_score: 3135.9938, mean_absolute_error: 0.0227, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9826, predictive_accuracy: 0.9828, prior_entropy: 0.3037, recall: 0.9828, relative_absolute_error: 0.2222, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1135, root_relative_squared_error: 0.5024, scimark_benchmark: 1876.23, usercpu_time_millis: 21.267, usercpu_time_millis_testing: 0.703, usercpu_time_millis_training: 20.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9833, kappa: 0.8338, kb_relative_information_score: 3143.9495, mean_absolute_error: 0.0227, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9831, predictive_accuracy: 0.9835, prior_entropy: 0.3037, recall: 0.9835, relative_absolute_error: 0.2224, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1121, root_relative_squared_error: 0.4963, scimark_benchmark: 1841.7343, usercpu_time_millis: 20.625, usercpu_time_millis_testing: 0.725, usercpu_time_millis_training: 19.9,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9515, f_measure: 0.9198, kb_relative_information_score: -1689.2146, mean_absolute_error: 0.0858, 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: 0.8396, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1959, root_relative_squared_error: 0.867, scimark_benchmark: 1870.2139, usercpu_time_millis: 13.135, usercpu_time_millis_testing: 1.19, usercpu_time_millis_training: 11.945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9832, kappa: 0.8351, kb_relative_information_score: 3040.7432, mean_absolute_error: 0.024, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9832, predictive_accuracy: 0.9833, prior_entropy: 0.3037, recall: 0.9833, relative_absolute_error: 0.2344, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1114, root_relative_squared_error: 0.4931, scimark_benchmark: 1871.3742, usercpu_time_millis: 20.911, usercpu_time_millis_testing: 0.68, usercpu_time_millis_training: 20.231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.9706, kappa: 0.6927, kb_relative_information_score: 1499.5451, mean_absolute_error: 0.0464, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9707, predictive_accuracy: 0.9727, prior_entropy: 0.3037, recall: 0.9727, relative_absolute_error: 0.4539, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1421, root_relative_squared_error: 0.6291, scimark_benchmark: 1872.4216, usercpu_time_millis: 7.869, usercpu_time_millis_testing: 0.442, usercpu_time_millis_training: 7.427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9739, kappa: 0.7225, kb_relative_information_score: 2378.8113, mean_absolute_error: 0.042, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9752, predictive_accuracy: 0.9762, prior_entropy: 0.3037, recall: 0.9762, relative_absolute_error: 0.4107, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1282, root_relative_squared_error: 0.5677, scimark_benchmark: 1823.3546, usercpu_time_millis: 17.081, usercpu_time_millis_testing: 1.609, usercpu_time_millis_training: 15.472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9707, kappa: 0.683, kb_relative_information_score: 2205.0207, mean_absolute_error: 0.0459, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9732, predictive_accuracy: 0.974, prior_entropy: 0.3037, recall: 0.974, relative_absolute_error: 0.4492, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1331, root_relative_squared_error: 0.5892, scimark_benchmark: 1872.9496, usercpu_time_millis: 24.944, usercpu_time_millis_testing: 2.219, usercpu_time_millis_training: 22.725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9842, kappa: 0.8421, kb_relative_information_score: 2982.8917, mean_absolute_error: 0.0267, 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: 0.2608, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1081, root_relative_squared_error: 0.4785, scimark_benchmark: 1750.3868, usercpu_time_millis: 16.723, usercpu_time_millis_testing: 0.845, usercpu_time_millis_training: 15.878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.968, kappa: 0.6485, kb_relative_information_score: 1999.1857, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9717, predictive_accuracy: 0.9721, prior_entropy: 0.3037, recall: 0.9721, relative_absolute_error: 0.4894, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1386, root_relative_squared_error: 0.6137, scimark_benchmark: 1871.5019, usercpu_time_millis: 19.335, usercpu_time_millis_testing: 1.92, usercpu_time_millis_training: 17.415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9709, kappa: 0.6872, kb_relative_information_score: 1954.067, mean_absolute_error: 0.0463, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9729, predictive_accuracy: 0.974, prior_entropy: 0.3037, recall: 0.974, relative_absolute_error: 0.4534, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1336, root_relative_squared_error: 0.5912, scimark_benchmark: 1877.7472, usercpu_time_millis: 24.661, usercpu_time_millis_testing: 2.003, usercpu_time_millis_training: 22.658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8667, f_measure: 0.9198, kb_relative_information_score: -1312.9705, 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: 0.9709, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2201, root_relative_squared_error: 0.9742, scimark_benchmark: 1881.2481, usercpu_time_millis: 1.013, usercpu_time_millis_testing: 0.083, usercpu_time_millis_training: 0.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9745, kappa: 0.7297, kb_relative_information_score: 2410.7023, mean_absolute_error: 0.0403, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9756, predictive_accuracy: 0.9766, prior_entropy: 0.3037, recall: 0.9766, relative_absolute_error: 0.3946, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1261, root_relative_squared_error: 0.5581, scimark_benchmark: 1876.7581, usercpu_time_millis: 17.933, usercpu_time_millis_testing: 1.37, usercpu_time_millis_training: 16.563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.827, f_measure: 0.9198, kb_relative_information_score: -2394.2927, 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: 0.9704, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2206, root_relative_squared_error: 0.9768, scimark_benchmark: 1866.8113, usercpu_time_millis: 10.231, usercpu_time_millis_testing: 1.029, usercpu_time_millis_training: 9.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9697, kappa: 0.6763, kb_relative_information_score: 1874.4389, mean_absolute_error: 0.047, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9707, predictive_accuracy: 0.9725, prior_entropy: 0.3037, recall: 0.9725, relative_absolute_error: 0.4593, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1348, root_relative_squared_error: 0.5968, scimark_benchmark: 1872.4216, usercpu_time_millis: 17.853, usercpu_time_millis_testing: 1.098, usercpu_time_millis_training: 16.755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9593, f_measure: 0.9198, kb_relative_information_score: -337.0802, mean_absolute_error: 0.081, 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: 0.792, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1865, root_relative_squared_error: 0.8256, scimark_benchmark: 1881.2481, usercpu_time_millis: 12.579, usercpu_time_millis_testing: 1.13, usercpu_time_millis_training: 11.449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.9198, kb_relative_information_score: -2452.3514, mean_absolute_error: 0.0901, 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: 0.8813, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2035, root_relative_squared_error: 0.9009, scimark_benchmark: 1877.7992, usercpu_time_millis: 12.73, usercpu_time_millis_testing: 0.749, usercpu_time_millis_training: 11.981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9723, kappa: 0.709, kb_relative_information_score: 1980.1668, mean_absolute_error: 0.0448, 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: 0.4385, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1331, root_relative_squared_error: 0.589, scimark_benchmark: 1867.8233, usercpu_time_millis: 17.872, usercpu_time_millis_testing: 0.983, usercpu_time_millis_training: 16.889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9718, kappa: 0.705, kb_relative_information_score: 1772.7845, mean_absolute_error: 0.0454, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9719, predictive_accuracy: 0.9738, prior_entropy: 0.3037, recall: 0.9738, relative_absolute_error: 0.444, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1375, root_relative_squared_error: 0.6088, scimark_benchmark: 1872.4216, usercpu_time_millis: 5.779, usercpu_time_millis_testing: 0.244, usercpu_time_millis_training: 5.535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.9761, kappa: 0.7593, kb_relative_information_score: 2105.0009, mean_absolute_error: 0.0402, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9758, predictive_accuracy: 0.9769, prior_entropy: 0.3037, recall: 0.9769, relative_absolute_error: 0.3933, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1317, root_relative_squared_error: 0.583, scimark_benchmark: 1871.0721, usercpu_time_millis: 7.92, usercpu_time_millis_testing: 0.299, usercpu_time_millis_training: 7.621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9717, kappa: 0.6967, kb_relative_information_score: 2017.6384, mean_absolute_error: 0.0454, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9736, predictive_accuracy: 0.9746, prior_entropy: 0.3037, recall: 0.9746, relative_absolute_error: 0.4441, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1322, root_relative_squared_error: 0.5851, scimark_benchmark: 1754.1079, usercpu_time_millis: 9.752, usercpu_time_millis_testing: 0.706, usercpu_time_millis_training: 9.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9837, kappa: 0.8367, kb_relative_information_score: 2942.4544, mean_absolute_error: 0.0275, 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: 0.2691, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1089, root_relative_squared_error: 0.4819, scimark_benchmark: 1860.3316, usercpu_time_millis: 6.035, usercpu_time_millis_testing: 0.245, usercpu_time_millis_training: 5.79,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9818, kappa: 0.8138, kb_relative_information_score: 2812.8537, mean_absolute_error: 0.032, 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: 0.3129, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.114, root_relative_squared_error: 0.5048, scimark_benchmark: 1873.4078, usercpu_time_millis: 11.741, usercpu_time_millis_testing: 0.621, usercpu_time_millis_training: 11.12,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9777, kappa: 0.7673, kb_relative_information_score: 2304.6258, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9782, predictive_accuracy: 0.9791, prior_entropy: 0.3037, recall: 0.9791, relative_absolute_error: 0.386, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1245, root_relative_squared_error: 0.5511, scimark_benchmark: 1754.1079, usercpu_time_millis: 10.63, usercpu_time_millis_testing: 0.663, usercpu_time_millis_training: 9.967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, f_measure: 0.9676, kappa: 0.6604, kb_relative_information_score: 1054.3571, 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: 0.5817, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1598, root_relative_squared_error: 0.7072, scimark_benchmark: 1870.2139, usercpu_time_millis: 20.037, usercpu_time_millis_testing: 1.197, usercpu_time_millis_training: 18.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.9821, kappa: 0.8218, kb_relative_information_score: 3005.3165, mean_absolute_error: 0.0255, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9819, predictive_accuracy: 0.9824, prior_entropy: 0.3037, recall: 0.9824, relative_absolute_error: 0.2498, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1104, root_relative_squared_error: 0.4888, scimark_benchmark: 1875.4086, usercpu_time_millis: 0.762, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 0.729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9814, kappa: 0.8101, kb_relative_information_score: 2739.8032, 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: 0.3238, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1152, root_relative_squared_error: 0.5099, scimark_benchmark: 1808.0599, usercpu_time_millis: 11.503, usercpu_time_millis_testing: 0.794, usercpu_time_millis_training: 10.709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9843, kappa: 0.8433, kb_relative_information_score: 3009.3836, mean_absolute_error: 0.0262, 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: 0.2559, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1079, root_relative_squared_error: 0.4777, scimark_benchmark: 1842.5181, usercpu_time_millis: 30.2, usercpu_time_millis_testing: 1.362, usercpu_time_millis_training: 28.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9839, kappa: 0.8403, kb_relative_information_score: 3032.2654, mean_absolute_error: 0.0246, 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: 0.2404, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1084, root_relative_squared_error: 0.4799, scimark_benchmark: 1866.4218, usercpu_time_millis: 20.293, usercpu_time_millis_testing: 0.864, usercpu_time_millis_training: 19.429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9706, kappa: 0.6816, kb_relative_information_score: 2007.2608, mean_absolute_error: 0.0485, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9733, predictive_accuracy: 0.974, prior_entropy: 0.3037, recall: 0.974, relative_absolute_error: 0.4744, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.137, root_relative_squared_error: 0.6065, scimark_benchmark: 1873.4078, usercpu_time_millis: 13.968, usercpu_time_millis_testing: 1.616, usercpu_time_millis_training: 12.352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.9701, kappa: 0.6845, kb_relative_information_score: 1475.7138, mean_absolute_error: 0.0509, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9705, predictive_accuracy: 0.9725, prior_entropy: 0.3037, recall: 0.9725, relative_absolute_error: 0.498, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1448, root_relative_squared_error: 0.6412, scimark_benchmark: 1872.4216, usercpu_time_millis: 26.119, usercpu_time_millis_testing: 1.533, usercpu_time_millis_training: 24.586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9697, kappa: 0.6844, kb_relative_information_score: 1625.7752, mean_absolute_error: 0.0507, 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: 0.4964, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1438, root_relative_squared_error: 0.6366, scimark_benchmark: 1866.9963, usercpu_time_millis: 28.843, usercpu_time_millis_testing: 1.577, usercpu_time_millis_training: 27.266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.94, f_measure: 0.9198, kb_relative_information_score: -1231.0421, mean_absolute_error: 0.0949, 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: 0.9282, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2114, root_relative_squared_error: 0.9357, scimark_benchmark: 1758.4252, usercpu_time_millis: 6.35, usercpu_time_millis_testing: 0.83, usercpu_time_millis_training: 5.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9725, kappa: 0.719, kb_relative_information_score: 2041.5615, mean_absolute_error: 0.0421, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9721, predictive_accuracy: 0.9738, prior_entropy: 0.3037, recall: 0.9738, relative_absolute_error: 0.4116, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1328, root_relative_squared_error: 0.588, scimark_benchmark: 1873.9387, usercpu_time_millis: 18.458, usercpu_time_millis_testing: 0.853, usercpu_time_millis_training: 17.605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9822, kappa: 0.8185, kb_relative_information_score: 2874.0048, mean_absolute_error: 0.0301, 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: 0.294, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1132, root_relative_squared_error: 0.5009, scimark_benchmark: 1864.8991, usercpu_time_millis: 37.499, usercpu_time_millis_testing: 2.004, usercpu_time_millis_training: 35.495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9712, kappa: 0.6904, kb_relative_information_score: 1991.4499, mean_absolute_error: 0.046, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9731, predictive_accuracy: 0.9742, prior_entropy: 0.3037, recall: 0.9742, relative_absolute_error: 0.4496, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1331, root_relative_squared_error: 0.5892, scimark_benchmark: 1876.7581, usercpu_time_millis: 23.232, usercpu_time_millis_testing: 1.863, usercpu_time_millis_training: 21.369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9165, f_measure: 0.9198, kb_relative_information_score: -1192.7457, 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: 0.9699, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2197, root_relative_squared_error: 0.9724, scimark_benchmark: 1870.1469, usercpu_time_millis: 1.018, usercpu_time_millis_testing: 0.076, usercpu_time_millis_training: 0.942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9675, kappa: 0.6494, kb_relative_information_score: 1471.4547, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9692, predictive_accuracy: 0.9711, prior_entropy: 0.3037, recall: 0.9711, relative_absolute_error: 0.5262, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1455, root_relative_squared_error: 0.644, scimark_benchmark: 1835.433, usercpu_time_millis: 23.244, usercpu_time_millis_testing: 1.876, usercpu_time_millis_training: 21.368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9687, kappa: 0.6585, kb_relative_information_score: 1874.3133, mean_absolute_error: 0.0497, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9718, predictive_accuracy: 0.9725, prior_entropy: 0.3037, recall: 0.9725, relative_absolute_error: 0.4859, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1363, root_relative_squared_error: 0.6032, scimark_benchmark: 1870.9126, usercpu_time_millis: 5.56, usercpu_time_millis_testing: 0.305, usercpu_time_millis_training: 5.255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9707, kappa: 0.683, kb_relative_information_score: 2220.3617, mean_absolute_error: 0.0459, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9732, predictive_accuracy: 0.974, prior_entropy: 0.3037, recall: 0.974, relative_absolute_error: 0.4489, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1333, root_relative_squared_error: 0.5901, scimark_benchmark: 1865.4271, usercpu_time_millis: 26.804, usercpu_time_millis_testing: 2.48, usercpu_time_millis_training: 24.324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9835, kappa: 0.8362, kb_relative_information_score: 2920.1929, mean_absolute_error: 0.0265, 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: 0.2589, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1104, root_relative_squared_error: 0.4887, scimark_benchmark: 1876.1631, usercpu_time_millis: 32.705, usercpu_time_millis_testing: 1.346, usercpu_time_millis_training: 31.359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, f_measure: 0.9317, kappa: 0.167, kb_relative_information_score: 117.4488, mean_absolute_error: 0.0762, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9536, predictive_accuracy: 0.9512, prior_entropy: 0.3037, recall: 0.9512, relative_absolute_error: 0.7458, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1788, root_relative_squared_error: 0.7914, scimark_benchmark: 1755.4795, usercpu_time_millis: 7.257, usercpu_time_millis_testing: 0.641, usercpu_time_millis_training: 6.616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.974, kappa: 0.7436, kb_relative_information_score: 2198.4807, mean_absolute_error: 0.042, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9739, predictive_accuracy: 0.9742, prior_entropy: 0.3037, recall: 0.9742, relative_absolute_error: 0.411, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1412, root_relative_squared_error: 0.6253, scimark_benchmark: 1795.8691, usercpu_time_millis: 8.961, usercpu_time_millis_testing: 0.26, usercpu_time_millis_training: 8.701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, f_measure: 0.9198, kb_relative_information_score: 1.9503, 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: 2155.0782, usercpu_time_millis: 2.435, usercpu_time_millis_testing: 0.551, usercpu_time_millis_training: 1.884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9358, f_measure: 0.9198, kb_relative_information_score: -1458.2021, mean_absolute_error: 0.0886, 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: 0.8667, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1999, root_relative_squared_error: 0.8849, scimark_benchmark: 1750.7876, usercpu_time_millis: 3.982, usercpu_time_millis_testing: 0.247, usercpu_time_millis_training: 3.735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9805, kappa: 0.8012, kb_relative_information_score: 2617.9155, mean_absolute_error: 0.0333, 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: 0.3253, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.117, root_relative_squared_error: 0.5177, scimark_benchmark: 1857.0358, usercpu_time_millis: 2.068, usercpu_time_millis_testing: 0.11, usercpu_time_millis_training: 1.958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7745, f_measure: 0.9198, kb_relative_information_score: -2639.0366, mean_absolute_error: 0.0988, 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: 0.9666, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.221, root_relative_squared_error: 0.9784, scimark_benchmark: 1875.7049, usercpu_time_millis: 0.246, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 0.227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9794, kappa: 0.7898, kb_relative_information_score: 2424.6316, mean_absolute_error: 0.035, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9794, predictive_accuracy: 0.9804, prior_entropy: 0.3037, recall: 0.9804, relative_absolute_error: 0.3422, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1204, root_relative_squared_error: 0.5328, scimark_benchmark: 1872.9496, usercpu_time_millis: 20.758, usercpu_time_millis_testing: 1.375, usercpu_time_millis_training: 19.383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9734, kappa: 0.7252, kb_relative_information_score: 2000.1565, mean_absolute_error: 0.042, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9731, predictive_accuracy: 0.9748, prior_entropy: 0.3037, recall: 0.9748, relative_absolute_error: 0.4107, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1313, root_relative_squared_error: 0.5811, scimark_benchmark: 1740.384, usercpu_time_millis: 15.829, usercpu_time_millis_testing: 0.853, usercpu_time_millis_training: 14.976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.98, kappa: 0.7966, kb_relative_information_score: 2390.0488, mean_absolute_error: 0.0351, 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: 0.3434, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1206, root_relative_squared_error: 0.5337, scimark_benchmark: 1874.6729, usercpu_time_millis: 22.7, usercpu_time_millis_testing: 1.423, usercpu_time_millis_training: 21.277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.964, kappa: 0.5991, kb_relative_information_score: 1467.9422, mean_absolute_error: 0.0562, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9687, predictive_accuracy: 0.9692, prior_entropy: 0.3037, recall: 0.9692, relative_absolute_error: 0.5496, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1466, root_relative_squared_error: 0.6488, scimark_benchmark: 1869.8853, usercpu_time_millis: 27.578, usercpu_time_millis_testing: 2.147, usercpu_time_millis_training: 25.431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9832, kappa: 0.8319, kb_relative_information_score: 2961.3765, mean_absolute_error: 0.026, 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: 0.2542, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1088, root_relative_squared_error: 0.4815, scimark_benchmark: 1869.8031, usercpu_time_millis: 27.951, usercpu_time_millis_testing: 1.326, usercpu_time_millis_training: 26.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9721, kappa: 0.7003, kb_relative_information_score: 2218.6994, mean_absolute_error: 0.0444, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9742, predictive_accuracy: 0.975, prior_entropy: 0.3037, recall: 0.975, relative_absolute_error: 0.4343, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1309, root_relative_squared_error: 0.5793, scimark_benchmark: 1867.5973, usercpu_time_millis: 3.837, usercpu_time_millis_testing: 0.247, usercpu_time_millis_training: 3.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9809, kappa: 0.8088, kb_relative_information_score: 2458.9641, mean_absolute_error: 0.0345, 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: 0.3371, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1205, root_relative_squared_error: 0.5336, scimark_benchmark: 1835.6778, usercpu_time_millis: 8.11, usercpu_time_millis_testing: 0.34, usercpu_time_millis_training: 7.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.9198, kb_relative_information_score: -1081.5821, 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: 0.9717, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.22, root_relative_squared_error: 0.9741, scimark_benchmark: 1872.9496, usercpu_time_millis: 1.257, usercpu_time_millis_testing: 0.097, usercpu_time_millis_training: 1.16,

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