OpenML
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: 0.9863, f_measure: 0.9785, kappa: 0.7886, kb_relative_information_score: 2277.2281, mean_absolute_error: 0.0373, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9784, predictive_accuracy: 0.9785, prior_entropy: 0.3037, recall: 0.9785, relative_absolute_error: 0.3646, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1298, root_relative_squared_error: 0.5748, scimark_benchmark: 1870.8114, usercpu_time_millis: 5.954, usercpu_time_millis_testing: 0.158, usercpu_time_millis_training: 5.796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5006, f_measure: 0.9198, kb_relative_information_score: 4.5969, 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: 0.998, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1833.9618, usercpu_time_millis: 1.745, usercpu_time_millis_testing: 0.258, usercpu_time_millis_training: 1.487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, f_measure: 0.9198, kb_relative_information_score: 4.9354, 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: 0.998, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1861.5089, usercpu_time_millis: 3.574, usercpu_time_millis_testing: 0.568, usercpu_time_millis_training: 3.006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4985, f_measure: 0.9198, kb_relative_information_score: 3.9747, mean_absolute_error: 0.1019, 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: 0.997, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1857.3967, usercpu_time_millis: 3.722, usercpu_time_millis_testing: 0.58, usercpu_time_millis_training: 3.142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.9198, kb_relative_information_score: -41.8732, 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: 0.9999, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1850.6054, usercpu_time_millis: 1.231, usercpu_time_millis_testing: 0.139, usercpu_time_millis_training: 1.092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.9198, kb_relative_information_score: -15.5955, 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: 1856.815, usercpu_time_millis: 1.835, usercpu_time_millis_testing: 0.175, usercpu_time_millis_training: 1.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9819, kappa: 0.8177, kb_relative_information_score: 2364.4757, mean_absolute_error: 0.0355, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9818, predictive_accuracy: 0.9824, prior_entropy: 0.3037, recall: 0.9824, relative_absolute_error: 0.347, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1217, root_relative_squared_error: 0.5389, scimark_benchmark: 1858.5097, usercpu_time_millis: 37.847, usercpu_time_millis_testing: 1.388, usercpu_time_millis_training: 36.459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9711, kappa: 0.6876, kb_relative_information_score: 2053.8981, mean_absolute_error: 0.0462, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9733, predictive_accuracy: 0.9742, prior_entropy: 0.3037, recall: 0.9742, relative_absolute_error: 0.4521, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.133, root_relative_squared_error: 0.5886, scimark_benchmark: 1864.4376, usercpu_time_millis: 37.287, usercpu_time_millis_testing: 2.282, usercpu_time_millis_training: 35.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9813, kappa: 0.807, kb_relative_information_score: 2888.1325, mean_absolute_error: 0.0322, 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: 0.3146, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1136, root_relative_squared_error: 0.5029, scimark_benchmark: 1870.2804, usercpu_time_millis: 29.251, usercpu_time_millis_testing: 1.653, usercpu_time_millis_training: 27.598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9645, kappa: 0.6065, kb_relative_information_score: 1440.4389, mean_absolute_error: 0.0562, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9685, predictive_accuracy: 0.9694, prior_entropy: 0.3037, recall: 0.9694, relative_absolute_error: 0.5494, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1474, root_relative_squared_error: 0.6524, scimark_benchmark: 1866.5348, usercpu_time_millis: 27.432, usercpu_time_millis_testing: 2.535, usercpu_time_millis_training: 24.897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9792, kappa: 0.7872, kb_relative_information_score: 2193.885, mean_absolute_error: 0.0394, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9792, predictive_accuracy: 0.9802, prior_entropy: 0.3037, recall: 0.9802, relative_absolute_error: 0.3858, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1261, root_relative_squared_error: 0.5581, scimark_benchmark: 1816.4289, usercpu_time_millis: 21.411, usercpu_time_millis_testing: 0.881, usercpu_time_millis_training: 20.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.97, kappa: 0.6747, kb_relative_information_score: 1923.9098, mean_absolute_error: 0.0473, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9724, predictive_accuracy: 0.9733, prior_entropy: 0.3037, recall: 0.9733, relative_absolute_error: 0.4624, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1349, root_relative_squared_error: 0.5972, scimark_benchmark: 1868.2531, usercpu_time_millis: 21.516, usercpu_time_millis_testing: 1.622, usercpu_time_millis_training: 19.894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9836, kappa: 0.8348, kb_relative_information_score: 2909.3466, mean_absolute_error: 0.0284, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9835, predictive_accuracy: 0.9841, prior_entropy: 0.3037, recall: 0.9841, relative_absolute_error: 0.2776, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1095, root_relative_squared_error: 0.4846, scimark_benchmark: 1843.3737, usercpu_time_millis: 17.58, usercpu_time_millis_testing: 0.734, usercpu_time_millis_training: 16.846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9688, kappa: 0.6587, kb_relative_information_score: 2079.4509, mean_absolute_error: 0.048, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9723, predictive_accuracy: 0.9727, prior_entropy: 0.3037, recall: 0.9727, relative_absolute_error: 0.4693, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1356, root_relative_squared_error: 0.6002, scimark_benchmark: 1852.9395, usercpu_time_millis: 10.288, usercpu_time_millis_testing: 0.745, usercpu_time_millis_training: 9.543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.971, f_measure: 0.9565, kappa: 0.5069, kb_relative_information_score: 584.4036, mean_absolute_error: 0.0677, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9627, predictive_accuracy: 0.964, prior_entropy: 0.3037, recall: 0.964, relative_absolute_error: 0.6619, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1666, root_relative_squared_error: 0.7374, scimark_benchmark: 1864.5074, usercpu_time_millis: 6.899, usercpu_time_millis_testing: 0.435, usercpu_time_millis_training: 6.464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.981, kappa: 0.8064, kb_relative_information_score: 3007.3825, mean_absolute_error: 0.0282, 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: 0.2763, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1144, root_relative_squared_error: 0.5065, scimark_benchmark: 1862.4223, usercpu_time_millis: 1.501, usercpu_time_millis_testing: 0.065, usercpu_time_millis_training: 1.436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.943, f_measure: 0.9198, kb_relative_information_score: -1401.1141, mean_absolute_error: 0.0927, 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: 0.9069, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.9193, scimark_benchmark: 1864.9808, usercpu_time_millis: 0.647, usercpu_time_millis_testing: 0.067, usercpu_time_millis_training: 0.58,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.9198, kb_relative_information_score: 2.8568, 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: 1856.6543, usercpu_time_millis: 1.013, usercpu_time_millis_testing: 0.165, usercpu_time_millis_training: 0.848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.9198, kb_relative_information_score: 2.2507, 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: 1855.9079, usercpu_time_millis: 3.575, usercpu_time_millis_testing: 0.705, usercpu_time_millis_training: 2.87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8746, f_measure: 0.9198, kb_relative_information_score: -1288.3775, mean_absolute_error: 0.1001, 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: 0.979, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2219, root_relative_squared_error: 0.9822, scimark_benchmark: 1779.2683, usercpu_time_millis: 3.085, usercpu_time_millis_testing: 0.288, usercpu_time_millis_training: 2.797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5018, f_measure: 0.9198, kb_relative_information_score: 5.3057, 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: 1860.5298, usercpu_time_millis: 1.229, usercpu_time_millis_testing: 0.165, usercpu_time_millis_training: 1.064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9825, kappa: 0.8231, kb_relative_information_score: 2747.2669, mean_absolute_error: 0.0302, 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: 0.295, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1128, root_relative_squared_error: 0.4994, scimark_benchmark: 1849.12, usercpu_time_millis: 2.954, usercpu_time_millis_testing: 0.111, usercpu_time_millis_training: 2.843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9727, kappa: 0.7066, kb_relative_information_score: 2253.0819, mean_absolute_error: 0.0442, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9746, predictive_accuracy: 0.9754, prior_entropy: 0.3037, recall: 0.9754, relative_absolute_error: 0.4325, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1305, root_relative_squared_error: 0.5779, scimark_benchmark: 1771.7441, usercpu_time_millis: 34.585, usercpu_time_millis_testing: 2.704, usercpu_time_millis_training: 31.881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9834, kappa: 0.8324, kb_relative_information_score: 2911.6013, mean_absolute_error: 0.0289, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9833, predictive_accuracy: 0.9839, prior_entropy: 0.3037, recall: 0.9839, relative_absolute_error: 0.2823, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1098, root_relative_squared_error: 0.486, scimark_benchmark: 1860.7227, usercpu_time_millis: 37.136, usercpu_time_millis_testing: 1.57, usercpu_time_millis_training: 35.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9684, kappa: 0.6619, kb_relative_information_score: 1498.7604, mean_absolute_error: 0.0529, 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: 0.5174, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1449, root_relative_squared_error: 0.6416, scimark_benchmark: 1790.2279, usercpu_time_millis: 29.943, usercpu_time_millis_testing: 1.6, usercpu_time_millis_training: 28.343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.98, kappa: 0.7929, kb_relative_information_score: 2418.8973, mean_absolute_error: 0.0367, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9805, predictive_accuracy: 0.9812, prior_entropy: 0.3037, recall: 0.9812, relative_absolute_error: 0.3594, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1207, root_relative_squared_error: 0.5344, scimark_benchmark: 1837.1027, usercpu_time_millis: 29.421, usercpu_time_millis_testing: 1.831, usercpu_time_millis_training: 27.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9827, kappa: 0.8271, kb_relative_information_score: 2452.8649, mean_absolute_error: 0.0343, 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: 0.3359, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1217, root_relative_squared_error: 0.5387, scimark_benchmark: 1840.7273, usercpu_time_millis: 21.163, usercpu_time_millis_testing: 1.021, usercpu_time_millis_training: 20.142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9845, kappa: 0.8446, kb_relative_information_score: 2999.0788, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9844, predictive_accuracy: 0.9849, prior_entropy: 0.3037, recall: 0.9849, relative_absolute_error: 0.2527, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.108, root_relative_squared_error: 0.4781, scimark_benchmark: 1655.1529, usercpu_time_millis: 20.191, usercpu_time_millis_testing: 0.861, usercpu_time_millis_training: 19.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9823, kappa: 0.8189, kb_relative_information_score: 2861.8665, mean_absolute_error: 0.0305, 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: 0.2984, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1115, root_relative_squared_error: 0.4935, scimark_benchmark: 1761.8802, usercpu_time_millis: 22.394, usercpu_time_millis_testing: 1.271, usercpu_time_millis_training: 21.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9841, kappa: 0.8421, kb_relative_information_score: 2993.5983, mean_absolute_error: 0.0252, 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: 0.2464, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1101, root_relative_squared_error: 0.4875, scimark_benchmark: 1845.3411, usercpu_time_millis: 22.022, usercpu_time_millis_testing: 0.664, usercpu_time_millis_training: 21.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9352, f_measure: 0.9198, kb_relative_information_score: -2204.3088, mean_absolute_error: 0.0878, 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: 0.8594, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1994, root_relative_squared_error: 0.8829, scimark_benchmark: 1764.715, usercpu_time_millis: 15.07, usercpu_time_millis_testing: 0.854, usercpu_time_millis_training: 14.216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9725, kappa: 0.706, kb_relative_information_score: 2069.5317, mean_absolute_error: 0.0441, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9742, predictive_accuracy: 0.9752, prior_entropy: 0.3037, recall: 0.9752, relative_absolute_error: 0.431, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1303, root_relative_squared_error: 0.577, scimark_benchmark: 1840.662, usercpu_time_millis: 13.892, usercpu_time_millis_testing: 0.83, usercpu_time_millis_training: 13.062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9741, kappa: 0.7226, kb_relative_information_score: 2389.1159, mean_absolute_error: 0.0422, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9761, predictive_accuracy: 0.9766, prior_entropy: 0.3037, recall: 0.9766, relative_absolute_error: 0.4132, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1284, root_relative_squared_error: 0.5685, scimark_benchmark: 1793.2947, usercpu_time_millis: 12.371, usercpu_time_millis_testing: 1.16, usercpu_time_millis_training: 11.211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9613, kappa: 0.5655, kb_relative_information_score: 980.391, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9667, predictive_accuracy: 0.9673, prior_entropy: 0.3037, recall: 0.9673, relative_absolute_error: 0.6185, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1583, root_relative_squared_error: 0.7008, scimark_benchmark: 1786.7465, usercpu_time_millis: 8.401, usercpu_time_millis_testing: 0.515, usercpu_time_millis_training: 7.886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9478, f_measure: 0.9198, kb_relative_information_score: -870.0011, mean_absolute_error: 0.0894, 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: 0.8748, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2014, root_relative_squared_error: 0.8914, scimark_benchmark: 1869.1029, usercpu_time_millis: 11.222, usercpu_time_millis_testing: 0.954, usercpu_time_millis_training: 10.268,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.949, f_measure: 0.9198, kb_relative_information_score: -1003.2757, mean_absolute_error: 0.0896, 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: 0.8761, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2015, root_relative_squared_error: 0.892, scimark_benchmark: 1739.523, usercpu_time_millis: 12.494, usercpu_time_millis_testing: 1.079, usercpu_time_millis_training: 11.415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9552, kappa: 0.4845, kb_relative_information_score: 1471.7755, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9647, predictive_accuracy: 0.9638, prior_entropy: 0.3037, recall: 0.9638, relative_absolute_error: 0.5927, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.158, root_relative_squared_error: 0.6996, scimark_benchmark: 1787.7028, usercpu_time_millis: 11.136, usercpu_time_millis_testing: 1.248, usercpu_time_millis_training: 9.888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8626, f_measure: 0.9198, kb_relative_information_score: -4395.0775, mean_absolute_error: 0.0973, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9518, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.219, root_relative_squared_error: 0.9693, scimark_benchmark: 1761.7386, usercpu_time_millis: 8.498, usercpu_time_millis_testing: 0.492, usercpu_time_millis_training: 8.006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.9705, kappa: 0.6944, kb_relative_information_score: 1694.0053, mean_absolute_error: 0.0496, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9703, predictive_accuracy: 0.9723, prior_entropy: 0.3037, recall: 0.9723, relative_absolute_error: 0.4851, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1422, root_relative_squared_error: 0.6295, scimark_benchmark: 1868.7112, usercpu_time_millis: 10.776, usercpu_time_millis_testing: 0.439, usercpu_time_millis_training: 10.337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9594, kappa: 0.5393, kb_relative_information_score: 1295.7755, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9665, predictive_accuracy: 0.9663, prior_entropy: 0.3037, recall: 0.9663, relative_absolute_error: 0.5905, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1538, root_relative_squared_error: 0.6808, scimark_benchmark: 1770.4117, usercpu_time_millis: 9.896, usercpu_time_millis_testing: 0.936, usercpu_time_millis_training: 8.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9476, f_measure: 0.9198, kb_relative_information_score: -1229.9799, mean_absolute_error: 0.0926, 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: 0.9063, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2076, root_relative_squared_error: 0.9191, scimark_benchmark: 1737.5842, usercpu_time_millis: 9.436, usercpu_time_millis_testing: 1.095, usercpu_time_millis_training: 8.341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9811, kappa: 0.806, kb_relative_information_score: 2921.9466, mean_absolute_error: 0.0311, 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: 0.3045, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1133, root_relative_squared_error: 0.5014, scimark_benchmark: 1863.066, usercpu_time_millis: 6.463, usercpu_time_millis_testing: 0.257, usercpu_time_millis_training: 6.206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.9198, kb_relative_information_score: 5.6269, mean_absolute_error: 0.102, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9977, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1863.066, usercpu_time_millis: 2.912, usercpu_time_millis_testing: 0.562, usercpu_time_millis_training: 2.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.948, kappa: 0.3909, kb_relative_information_score: 563.9203, mean_absolute_error: 0.0701, 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: 0.686, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1689, root_relative_squared_error: 0.7478, scimark_benchmark: 1762.7065, usercpu_time_millis: 2.818, usercpu_time_millis_testing: 0.34, usercpu_time_millis_training: 2.478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9734, kappa: 0.7201, kb_relative_information_score: 1781.4306, mean_absolute_error: 0.0448, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9739, predictive_accuracy: 0.9754, prior_entropy: 0.3037, recall: 0.9754, relative_absolute_error: 0.4382, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1359, root_relative_squared_error: 0.6014, scimark_benchmark: 1859.3512, usercpu_time_millis: 1.038, usercpu_time_millis_testing: 0.067, usercpu_time_millis_training: 0.971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.9796, kappa: 0.7899, kb_relative_information_score: 2293.264, mean_absolute_error: 0.0316, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9797, predictive_accuracy: 0.9806, prior_entropy: 0.3037, recall: 0.9806, relative_absolute_error: 0.3089, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1247, root_relative_squared_error: 0.552, scimark_benchmark: 1871.9601, usercpu_time_millis: 0.183, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 0.161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9345, f_measure: 0.9822, kappa: 0.8231, kb_relative_information_score: 3348.658, mean_absolute_error: 0.0205, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.982, predictive_accuracy: 0.9824, prior_entropy: 0.3037, recall: 0.9824, relative_absolute_error: 0.2004, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1243, root_relative_squared_error: 0.5504, scimark_benchmark: 1741.6629, usercpu_time_millis: 0.216, usercpu_time_millis_testing: 0.026, usercpu_time_millis_training: 0.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9849, kappa: 0.8493, kb_relative_information_score: 3174.5422, mean_absolute_error: 0.0233, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9847, predictive_accuracy: 0.9851, prior_entropy: 0.3037, recall: 0.9851, relative_absolute_error: 0.2276, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1089, root_relative_squared_error: 0.4821, scimark_benchmark: 1744.9079, usercpu_time_millis: 70.87, usercpu_time_millis_testing: 2.026, usercpu_time_millis_training: 68.844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9848, kappa: 0.847, kb_relative_information_score: 3018.0887, mean_absolute_error: 0.026, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9847, predictive_accuracy: 0.9851, prior_entropy: 0.3037, recall: 0.9851, relative_absolute_error: 0.2539, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1084, root_relative_squared_error: 0.4798, scimark_benchmark: 1790.928, usercpu_time_millis: 47.319, usercpu_time_millis_testing: 1.846, usercpu_time_millis_training: 45.473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9765, kappa: 0.7646, kb_relative_information_score: 2142.7039, mean_absolute_error: 0.0393, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9762, predictive_accuracy: 0.9771, prior_entropy: 0.3037, recall: 0.9771, relative_absolute_error: 0.3848, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.131, root_relative_squared_error: 0.5799, scimark_benchmark: 1737.3853, usercpu_time_millis: 35.912, usercpu_time_millis_testing: 1.453, usercpu_time_millis_training: 34.459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9841, kappa: 0.8409, kb_relative_information_score: 3068.0666, mean_absolute_error: 0.026, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.984, predictive_accuracy: 0.9845, prior_entropy: 0.3037, recall: 0.9845, relative_absolute_error: 0.254, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1072, root_relative_squared_error: 0.4748, scimark_benchmark: 1794.2354, usercpu_time_millis: 32.5, usercpu_time_millis_testing: 1.392, usercpu_time_millis_training: 31.108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9795, kappa: 0.7875, kb_relative_information_score: 2770.6463, mean_absolute_error: 0.0346, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.98, predictive_accuracy: 0.9808, prior_entropy: 0.3037, recall: 0.9808, relative_absolute_error: 0.3385, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1168, root_relative_squared_error: 0.517, scimark_benchmark: 1789.5885, usercpu_time_millis: 29.679, usercpu_time_millis_testing: 1.944, usercpu_time_millis_training: 27.735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.9659, kappa: 0.6358, kb_relative_information_score: 989.5826, mean_absolute_error: 0.0599, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9665, predictive_accuracy: 0.9692, prior_entropy: 0.3037, recall: 0.9692, relative_absolute_error: 0.5864, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1581, root_relative_squared_error: 0.6997, scimark_benchmark: 1751.1754, usercpu_time_millis: 28.906, usercpu_time_millis_testing: 1.778, usercpu_time_millis_training: 27.128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9809, kappa: 0.8041, kb_relative_information_score: 2492.8107, mean_absolute_error: 0.0352, 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: 0.3443, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.119, root_relative_squared_error: 0.5269, scimark_benchmark: 1749.196, usercpu_time_millis: 29.899, usercpu_time_millis_testing: 1.406, usercpu_time_millis_training: 28.493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9783, kappa: 0.7728, kb_relative_information_score: 2342.4364, mean_absolute_error: 0.0383, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9789, predictive_accuracy: 0.9797, prior_entropy: 0.3037, recall: 0.9797, relative_absolute_error: 0.3745, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.123, root_relative_squared_error: 0.5446, scimark_benchmark: 1753.6536, usercpu_time_millis: 23.624, usercpu_time_millis_testing: 1.648, usercpu_time_millis_training: 21.976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9786, kappa: 0.7747, kb_relative_information_score: 2455.1876, mean_absolute_error: 0.0389, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9796, predictive_accuracy: 0.9802, prior_entropy: 0.3037, recall: 0.9802, relative_absolute_error: 0.3806, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1227, root_relative_squared_error: 0.5431, scimark_benchmark: 1785.9154, usercpu_time_millis: 23.946, usercpu_time_millis_testing: 1.609, usercpu_time_millis_training: 22.337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9701, kappa: 0.6845, kb_relative_information_score: 1284.0936, mean_absolute_error: 0.0534, 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: 0.5225, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1491, root_relative_squared_error: 0.6598, scimark_benchmark: 1798.8796, usercpu_time_millis: 26.348, usercpu_time_millis_testing: 1.473, usercpu_time_millis_training: 24.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9674, kappa: 0.6417, kb_relative_information_score: 2140.5917, mean_absolute_error: 0.0481, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9713, predictive_accuracy: 0.9717, prior_entropy: 0.3037, recall: 0.9717, relative_absolute_error: 0.4701, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1371, root_relative_squared_error: 0.607, scimark_benchmark: 1737.7824, usercpu_time_millis: 23.636, usercpu_time_millis_testing: 2.185, usercpu_time_millis_training: 21.451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9704, kappa: 0.6866, kb_relative_information_score: 1757.6148, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.971, predictive_accuracy: 0.9729, prior_entropy: 0.3037, recall: 0.9729, relative_absolute_error: 0.4619, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1373, root_relative_squared_error: 0.608, scimark_benchmark: 1762.1241, usercpu_time_millis: 23.358, usercpu_time_millis_testing: 1.538, usercpu_time_millis_training: 21.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.9669, kappa: 0.6427, kb_relative_information_score: 1117.5852, mean_absolute_error: 0.0583, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9684, predictive_accuracy: 0.9704, prior_entropy: 0.3037, recall: 0.9704, relative_absolute_error: 0.5705, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1539, root_relative_squared_error: 0.6811, scimark_benchmark: 1730.8101, usercpu_time_millis: 24.058, usercpu_time_millis_testing: 1.818, usercpu_time_millis_training: 22.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9736, f_measure: 0.9578, kappa: 0.5231, kb_relative_information_score: 660.5548, mean_absolute_error: 0.0676, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9636, predictive_accuracy: 0.9649, prior_entropy: 0.3037, recall: 0.9649, relative_absolute_error: 0.6612, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.166, root_relative_squared_error: 0.735, scimark_benchmark: 1782.489, usercpu_time_millis: 18.223, usercpu_time_millis_testing: 1.319, usercpu_time_millis_training: 16.904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9785, kappa: 0.7747, kb_relative_information_score: 2358.7793, mean_absolute_error: 0.0382, 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: 0.3734, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1223, root_relative_squared_error: 0.5414, scimark_benchmark: 1799.1869, usercpu_time_millis: 21.893, usercpu_time_millis_testing: 1.562, usercpu_time_millis_training: 20.331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9849, kappa: 0.8493, kb_relative_information_score: 3231.2302, mean_absolute_error: 0.0231, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9847, predictive_accuracy: 0.9851, prior_entropy: 0.3037, recall: 0.9851, relative_absolute_error: 0.2255, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1097, root_relative_squared_error: 0.4857, scimark_benchmark: 1785.8171, usercpu_time_millis: 16.687, usercpu_time_millis_testing: 0.532, usercpu_time_millis_training: 16.155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9812, kappa: 0.8075, kb_relative_information_score: 2913.7131, mean_absolute_error: 0.031, 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: 0.3034, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1136, root_relative_squared_error: 0.5028, scimark_benchmark: 1732.2313, usercpu_time_millis: 18.323, usercpu_time_millis_testing: 1.014, usercpu_time_millis_training: 17.309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9826, kappa: 0.8273, kb_relative_information_score: 2657.9323, mean_absolute_error: 0.0307, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9825, predictive_accuracy: 0.9828, prior_entropy: 0.3037, recall: 0.9828, relative_absolute_error: 0.2999, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1185, root_relative_squared_error: 0.5246, scimark_benchmark: 1760.3423, usercpu_time_millis: 12.684, usercpu_time_millis_testing: 0.359, usercpu_time_millis_training: 12.325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9728, kappa: 0.7091, kb_relative_information_score: 2402.0833, mean_absolute_error: 0.0414, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9744, predictive_accuracy: 0.9754, prior_entropy: 0.3037, recall: 0.9754, relative_absolute_error: 0.4052, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1281, root_relative_squared_error: 0.5672, scimark_benchmark: 1763.0211, usercpu_time_millis: 9.999, usercpu_time_millis_testing: 0.636, usercpu_time_millis_training: 9.363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9792, kappa: 0.783, kb_relative_information_score: 2496.8195, mean_absolute_error: 0.0376, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9799, predictive_accuracy: 0.9806, prior_entropy: 0.3037, recall: 0.9806, relative_absolute_error: 0.3676, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1201, root_relative_squared_error: 0.5316, scimark_benchmark: 1749.196, usercpu_time_millis: 10.887, usercpu_time_millis_testing: 0.522, usercpu_time_millis_training: 10.365,

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