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: 0.988, f_measure: 0.9808, kappa: 0.8018, kb_relative_information_score: 2426.9403, mean_absolute_error: 0.0364, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9811, predictive_accuracy: 0.9818, prior_entropy: 0.3037, recall: 0.9818, relative_absolute_error: 0.3563, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1209, root_relative_squared_error: 0.535, scimark_benchmark: 1746.9478, usercpu_time_millis: 14.029, usercpu_time_millis_testing: 0.693, usercpu_time_millis_training: 13.336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9834, kappa: 0.8356, kb_relative_information_score: 3031.1074, mean_absolute_error: 0.0247, 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: 0.2413, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1086, root_relative_squared_error: 0.4807, scimark_benchmark: 1744.9726, usercpu_time_millis: 10.373, usercpu_time_millis_testing: 0.42, usercpu_time_millis_training: 9.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, f_measure: 0.952, kappa: 0.4449, kb_relative_information_score: 538.862, mean_absolute_error: 0.0698, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9612, predictive_accuracy: 0.9616, prior_entropy: 0.3037, recall: 0.9616, relative_absolute_error: 0.6827, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.169, root_relative_squared_error: 0.7481, scimark_benchmark: 1740.7306, usercpu_time_millis: 4.674, usercpu_time_millis_testing: 0.378, usercpu_time_millis_training: 4.296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9447, f_measure: 0.9682, kappa: 0.6724, kb_relative_information_score: 847.8405, mean_absolute_error: 0.0593, 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: 0.5799, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1633, root_relative_squared_error: 0.7227, scimark_benchmark: 1724.4452, usercpu_time_millis: 1.761, usercpu_time_millis_testing: 0.068, usercpu_time_millis_training: 1.693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.96, kappa: 0.5565, kb_relative_information_score: 924.433, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9631, predictive_accuracy: 0.9657, prior_entropy: 0.3037, recall: 0.9657, relative_absolute_error: 0.615, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1589, root_relative_squared_error: 0.7034, scimark_benchmark: 1853.2569, usercpu_time_millis: 30.602, usercpu_time_millis_testing: 2.994, usercpu_time_millis_training: 27.608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9837, kappa: 0.8361, kb_relative_information_score: 3028.312, mean_absolute_error: 0.0273, 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: 0.2667, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1084, root_relative_squared_error: 0.4797, scimark_benchmark: 1872.3546, usercpu_time_millis: 24.408, usercpu_time_millis_testing: 1.254, usercpu_time_millis_training: 23.154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9703, kappa: 0.6853, kb_relative_information_score: 1674.6425, mean_absolute_error: 0.0471, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9711, predictive_accuracy: 0.9729, prior_entropy: 0.3037, recall: 0.9729, relative_absolute_error: 0.461, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1395, root_relative_squared_error: 0.6175, scimark_benchmark: 1827.1175, usercpu_time_millis: 17.915, usercpu_time_millis_testing: 1.541, usercpu_time_millis_training: 16.374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8941, f_measure: 0.9198, kb_relative_information_score: -1451.2051, mean_absolute_error: 0.0994, 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: 0.9722, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2205, root_relative_squared_error: 0.9762, scimark_benchmark: 1852.8044, usercpu_time_millis: 5.433, usercpu_time_millis_testing: 0.633, usercpu_time_millis_training: 4.8,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9392, f_measure: 0.9198, kb_relative_information_score: -1459.7474, mean_absolute_error: 0.0879, 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: 0.86, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1989, root_relative_squared_error: 0.8804, scimark_benchmark: 1858.5477, usercpu_time_millis: 9.454, usercpu_time_millis_testing: 0.609, usercpu_time_millis_training: 8.845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.9589, kappa: 0.5373, kb_relative_information_score: 742.2674, mean_absolute_error: 0.0662, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.964, predictive_accuracy: 0.9655, prior_entropy: 0.3037, recall: 0.9655, relative_absolute_error: 0.6481, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1641, root_relative_squared_error: 0.7265, scimark_benchmark: 1786.2155, usercpu_time_millis: 14.555, usercpu_time_millis_testing: 1.209, usercpu_time_millis_training: 13.346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9757, f_measure: 0.9677, kappa: 0.6566, kb_relative_information_score: 1138.3343, mean_absolute_error: 0.0571, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9683, predictive_accuracy: 0.9707, prior_entropy: 0.3037, recall: 0.9707, relative_absolute_error: 0.5589, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1546, root_relative_squared_error: 0.6842, scimark_benchmark: 1896.4192, usercpu_time_millis: 13.535, usercpu_time_millis_testing: 0.941, usercpu_time_millis_training: 12.594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9839, kappa: 0.8397, kb_relative_information_score: 3122.0082, mean_absolute_error: 0.0232, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9837, predictive_accuracy: 0.9841, prior_entropy: 0.3037, recall: 0.9841, relative_absolute_error: 0.227, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1109, root_relative_squared_error: 0.4909, scimark_benchmark: 1739.0322, usercpu_time_millis: 37.222, usercpu_time_millis_testing: 1.666, usercpu_time_millis_training: 35.556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9828, kappa: 0.8304, kb_relative_information_score: 3139.2619, mean_absolute_error: 0.0227, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9827, predictive_accuracy: 0.9828, prior_entropy: 0.3037, recall: 0.9828, relative_absolute_error: 0.2217, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.113, root_relative_squared_error: 0.5001, scimark_benchmark: 1850.5475, usercpu_time_millis: 45.192, usercpu_time_millis_testing: 1.841, usercpu_time_millis_training: 43.351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9836, kappa: 0.8374, kb_relative_information_score: 3126.1809, mean_absolute_error: 0.0232, 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: 0.2273, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1102, root_relative_squared_error: 0.488, scimark_benchmark: 1893.4366, usercpu_time_millis: 7.165, usercpu_time_millis_testing: 0.226, usercpu_time_millis_training: 6.939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.937, f_measure: 0.9198, kb_relative_information_score: -1320.7736, mean_absolute_error: 0.0966, 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: 0.9451, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2149, root_relative_squared_error: 0.9512, scimark_benchmark: 1791.6584, usercpu_time_millis: 6.068, usercpu_time_millis_testing: 0.698, usercpu_time_millis_training: 5.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, f_measure: 0.9198, kb_relative_information_score: 2.956, 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: 1837.3108, usercpu_time_millis: 5.517, usercpu_time_millis_testing: 1.103, usercpu_time_millis_training: 4.414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.979, kappa: 0.7811, kb_relative_information_score: 2602.1253, mean_absolute_error: 0.0362, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9796, predictive_accuracy: 0.9804, prior_entropy: 0.3037, recall: 0.9804, relative_absolute_error: 0.3545, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1187, root_relative_squared_error: 0.5255, scimark_benchmark: 1768.8471, usercpu_time_millis: 26.758, usercpu_time_millis_testing: 2.226, usercpu_time_millis_training: 24.532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, f_measure: 0.9198, kb_relative_information_score: 5.4896, 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: 0.9978, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1858.9117, usercpu_time_millis: 6.572, usercpu_time_millis_testing: 1.142, usercpu_time_millis_training: 5.43,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9807, kappa: 0.8031, kb_relative_information_score: 2751.7277, mean_absolute_error: 0.0319, 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: 0.3125, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1144, root_relative_squared_error: 0.5065, scimark_benchmark: 1730.0176, usercpu_time_millis: 26.539, usercpu_time_millis_testing: 2.354, usercpu_time_millis_training: 24.185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9841, kappa: 0.8415, kb_relative_information_score: 3021.04, 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: 0.2447, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.108, root_relative_squared_error: 0.4782, scimark_benchmark: 1727.7233, usercpu_time_millis: 48.355, usercpu_time_millis_testing: 2.999, usercpu_time_millis_training: 45.356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8935, f_measure: 0.9198, kb_relative_information_score: -1396.3852, mean_absolute_error: 0.0997, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9758, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2208, root_relative_squared_error: 0.9775, scimark_benchmark: 1723.9991, usercpu_time_millis: 0.91, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 0.837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, f_measure: 0.9198, kb_relative_information_score: 4.1567, mean_absolute_error: 0.102, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1748.9079, usercpu_time_millis: 6.718, usercpu_time_millis_testing: 1.184, usercpu_time_millis_training: 5.534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9693, kappa: 0.6652, kb_relative_information_score: 2057.1455, mean_absolute_error: 0.0476, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9722, predictive_accuracy: 0.9729, prior_entropy: 0.3037, recall: 0.9729, relative_absolute_error: 0.466, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1348, root_relative_squared_error: 0.5969, scimark_benchmark: 1860.6438, usercpu_time_millis: 8.642, usercpu_time_millis_testing: 0.671, usercpu_time_millis_training: 7.971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9807, kappa: 0.8015, kb_relative_information_score: 2809.5668, mean_absolute_error: 0.0325, 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: 0.3181, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1142, root_relative_squared_error: 0.5054, scimark_benchmark: 1723.1582, usercpu_time_millis: 23.947, usercpu_time_millis_testing: 1.762, usercpu_time_millis_training: 22.185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9827, kappa: 0.8277, kb_relative_information_score: 2666.5019, mean_absolute_error: 0.0314, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9826, predictive_accuracy: 0.9831, prior_entropy: 0.3037, recall: 0.9831, relative_absolute_error: 0.3068, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1163, root_relative_squared_error: 0.515, scimark_benchmark: 1869.1029, usercpu_time_millis: 23.369, usercpu_time_millis_testing: 1.149, usercpu_time_millis_training: 22.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.984, kappa: 0.8409, kb_relative_information_score: 3095.8158, mean_absolute_error: 0.0248, 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: 0.2426, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1076, root_relative_squared_error: 0.4763, scimark_benchmark: 1738.1272, usercpu_time_millis: 21.403, usercpu_time_millis_testing: 1.009, usercpu_time_millis_training: 20.394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.978, kappa: 0.768, kb_relative_information_score: 2536.0032, mean_absolute_error: 0.0385, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9792, predictive_accuracy: 0.9797, prior_entropy: 0.3037, recall: 0.9797, relative_absolute_error: 0.3766, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1221, root_relative_squared_error: 0.5407, scimark_benchmark: 1735.5891, usercpu_time_millis: 16.414, usercpu_time_millis_testing: 1.56, usercpu_time_millis_training: 14.854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9837, kappa: 0.8367, kb_relative_information_score: 3064.7667, mean_absolute_error: 0.0268, 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: 0.2617, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1084, root_relative_squared_error: 0.4798, scimark_benchmark: 1782.7618, usercpu_time_millis: 21.472, usercpu_time_millis_testing: 1.028, usercpu_time_millis_training: 20.444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9649, kappa: 0.6098, kb_relative_information_score: 1878.9137, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.97, predictive_accuracy: 0.97, prior_entropy: 0.3037, recall: 0.97, relative_absolute_error: 0.5165, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1439, root_relative_squared_error: 0.6369, scimark_benchmark: 1822.6245, usercpu_time_millis: 10.288, usercpu_time_millis_testing: 1.142, usercpu_time_millis_training: 9.146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9749, kappa: 0.7349, kb_relative_information_score: 2098.3446, mean_absolute_error: 0.0431, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9757, predictive_accuracy: 0.9769, prior_entropy: 0.3037, recall: 0.9769, relative_absolute_error: 0.4218, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.13, root_relative_squared_error: 0.5757, scimark_benchmark: 1848.0007, usercpu_time_millis: 24.664, usercpu_time_millis_testing: 1.581, usercpu_time_millis_training: 23.083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9838, kappa: 0.8379, kb_relative_information_score: 2981.2342, mean_absolute_error: 0.026, 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: 0.2539, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1081, root_relative_squared_error: 0.4787, scimark_benchmark: 1865.1205, usercpu_time_millis: 30.577, usercpu_time_millis_testing: 1.609, usercpu_time_millis_training: 28.968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9843, kappa: 0.8445, kb_relative_information_score: 3037.8104, mean_absolute_error: 0.0246, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9842, predictive_accuracy: 0.9845, prior_entropy: 0.3037, recall: 0.9845, relative_absolute_error: 0.2402, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1085, root_relative_squared_error: 0.4803, scimark_benchmark: 1894.6561, usercpu_time_millis: 47.321, usercpu_time_millis_testing: 1.627, usercpu_time_millis_training: 45.694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.9665, kappa: 0.6393, kb_relative_information_score: 1019.9554, mean_absolute_error: 0.0608, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9678, predictive_accuracy: 0.97, prior_entropy: 0.3037, recall: 0.97, relative_absolute_error: 0.5946, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1588, root_relative_squared_error: 0.7031, scimark_benchmark: 1860.6591, usercpu_time_millis: 17.358, usercpu_time_millis_testing: 1.406, usercpu_time_millis_training: 15.952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8689, f_measure: 0.9198, kb_relative_information_score: -3465.4248, mean_absolute_error: 0.0981, 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: 0.9599, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2192, root_relative_squared_error: 0.9706, scimark_benchmark: 1727.5667, usercpu_time_millis: 4.861, usercpu_time_millis_testing: 0.342, usercpu_time_millis_training: 4.519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9453, f_measure: 0.9198, kb_relative_information_score: -876.4094, mean_absolute_error: 0.0895, 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: 0.876, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2011, root_relative_squared_error: 0.8902, scimark_benchmark: 1756.754, usercpu_time_millis: 9.869, usercpu_time_millis_testing: 1.027, usercpu_time_millis_training: 8.842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9801, kappa: 0.7954, kb_relative_information_score: 2729.6007, mean_absolute_error: 0.0332, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9804, predictive_accuracy: 0.9812, prior_entropy: 0.3037, recall: 0.9812, relative_absolute_error: 0.325, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.115, root_relative_squared_error: 0.509, scimark_benchmark: 1779.2209, usercpu_time_millis: 27.363, usercpu_time_millis_testing: 2.105, usercpu_time_millis_training: 25.258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9336, f_measure: 0.9198, kb_relative_information_score: -2188.4182, mean_absolute_error: 0.0895, 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: 0.876, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2025, root_relative_squared_error: 0.8963, scimark_benchmark: 1718.2185, usercpu_time_millis: 8.625, usercpu_time_millis_testing: 0.865, usercpu_time_millis_training: 7.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9834, kappa: 0.8336, kb_relative_information_score: 2957.2416, mean_absolute_error: 0.0283, 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: 0.2771, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1095, root_relative_squared_error: 0.4847, scimark_benchmark: 1855.5992, usercpu_time_millis: 16.665, usercpu_time_millis_testing: 0.916, usercpu_time_millis_training: 15.749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9679, kappa: 0.6634, kb_relative_information_score: 1121.1231, mean_absolute_error: 0.0575, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9677, predictive_accuracy: 0.9702, prior_entropy: 0.3037, recall: 0.9702, relative_absolute_error: 0.5624, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.157, root_relative_squared_error: 0.695, scimark_benchmark: 1801.0686, usercpu_time_millis: 28.621, usercpu_time_millis_testing: 2.207, usercpu_time_millis_training: 26.414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9833, kappa: 0.8318, kb_relative_information_score: 2953.1193, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9831, predictive_accuracy: 0.9837, prior_entropy: 0.3037, recall: 0.9837, relative_absolute_error: 0.2613, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1089, root_relative_squared_error: 0.482, scimark_benchmark: 1862.5642, usercpu_time_millis: 25.387, usercpu_time_millis_testing: 1.417, usercpu_time_millis_training: 23.97,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9828, kappa: 0.8284, kb_relative_information_score: 2612.3083, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9826, predictive_accuracy: 0.9831, prior_entropy: 0.3037, recall: 0.9831, relative_absolute_error: 0.3173, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1172, root_relative_squared_error: 0.5189, scimark_benchmark: 1800.5665, usercpu_time_millis: 26.492, usercpu_time_millis_testing: 1.195, usercpu_time_millis_training: 25.297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.982, kappa: 0.8167, kb_relative_information_score: 2857.2518, mean_absolute_error: 0.0289, 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: 0.283, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1111, root_relative_squared_error: 0.492, scimark_benchmark: 2017.9462, usercpu_time_millis: 8.127, usercpu_time_millis_testing: 0.603, usercpu_time_millis_training: 7.524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9786, kappa: 0.7765, kb_relative_information_score: 2323.7752, mean_absolute_error: 0.0393, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9791, predictive_accuracy: 0.98, prior_entropy: 0.3037, recall: 0.98, relative_absolute_error: 0.3845, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1237, root_relative_squared_error: 0.5474, scimark_benchmark: 1828.7281, usercpu_time_millis: 5.304, usercpu_time_millis_testing: 0.278, usercpu_time_millis_training: 5.026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9834, kappa: 0.8337, kb_relative_information_score: 2972.3219, mean_absolute_error: 0.0266, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9832, predictive_accuracy: 0.9837, prior_entropy: 0.3037, recall: 0.9837, relative_absolute_error: 0.2599, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1089, root_relative_squared_error: 0.4822, scimark_benchmark: 1854.6547, usercpu_time_millis: 3.009, usercpu_time_millis_testing: 0.116, usercpu_time_millis_training: 2.893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9788, kappa: 0.7793, kb_relative_information_score: 2698.5298, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9794, predictive_accuracy: 0.9802, prior_entropy: 0.3037, recall: 0.9802, relative_absolute_error: 0.3441, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1176, root_relative_squared_error: 0.5204, scimark_benchmark: 1977.4812, usercpu_time_millis: 27.082, usercpu_time_millis_testing: 2.116, usercpu_time_millis_training: 24.966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9791, kappa: 0.7829, kb_relative_information_score: 2679.6555, mean_absolute_error: 0.0354, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9795, predictive_accuracy: 0.9804, prior_entropy: 0.3037, recall: 0.9804, relative_absolute_error: 0.3461, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1171, root_relative_squared_error: 0.5184, scimark_benchmark: 1766.3815, usercpu_time_millis: 9.625, usercpu_time_millis_testing: 0.671, usercpu_time_millis_training: 8.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.969, kappa: 0.6697, kb_relative_information_score: 1363.1379, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9699, predictive_accuracy: 0.9719, prior_entropy: 0.3037, recall: 0.9719, relative_absolute_error: 0.5168, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1472, root_relative_squared_error: 0.6516, scimark_benchmark: 1738.2912, usercpu_time_millis: 5.053, usercpu_time_millis_testing: 0.322, usercpu_time_millis_training: 4.731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9801, kappa: 0.7946, kb_relative_information_score: 2509.1651, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9804, predictive_accuracy: 0.9812, prior_entropy: 0.3037, recall: 0.9812, relative_absolute_error: 0.3519, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1192, root_relative_squared_error: 0.5278, scimark_benchmark: 1831.9622, usercpu_time_millis: 11.799, usercpu_time_millis_testing: 0.641, usercpu_time_millis_training: 11.158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9827, kappa: 0.8277, kb_relative_information_score: 3166.4731, mean_absolute_error: 0.0244, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9826, predictive_accuracy: 0.9831, prior_entropy: 0.3037, recall: 0.9831, relative_absolute_error: 0.2391, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1114, root_relative_squared_error: 0.4932, scimark_benchmark: 1782.3753, usercpu_time_millis: 17.405, usercpu_time_millis_testing: 0.657, usercpu_time_millis_training: 16.748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9834, kappa: 0.8356, kb_relative_information_score: 3091.1898, mean_absolute_error: 0.024, 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: 0.2347, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.108, root_relative_squared_error: 0.478, scimark_benchmark: 1739.723, usercpu_time_millis: 40.238, usercpu_time_millis_testing: 1.776, usercpu_time_millis_training: 38.462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9747, kappa: 0.7315, kb_relative_information_score: 2429.2123, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9759, predictive_accuracy: 0.9769, prior_entropy: 0.3037, recall: 0.9769, relative_absolute_error: 0.3882, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.126, root_relative_squared_error: 0.558, scimark_benchmark: 1748.3028, usercpu_time_millis: 3.091, usercpu_time_millis_testing: 0.232, usercpu_time_millis_training: 2.859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9697, kappa: 0.6703, kb_relative_information_score: 2008.2512, mean_absolute_error: 0.0484, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9728, predictive_accuracy: 0.9733, prior_entropy: 0.3037, recall: 0.9733, relative_absolute_error: 0.4733, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1347, root_relative_squared_error: 0.5961, scimark_benchmark: 1744.4527, usercpu_time_millis: 28.476, usercpu_time_millis_testing: 2.708, usercpu_time_millis_training: 25.768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9834, kappa: 0.833, kb_relative_information_score: 2958.3762, mean_absolute_error: 0.0283, 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: 0.2767, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1092, root_relative_squared_error: 0.4832, scimark_benchmark: 1850.8212, usercpu_time_millis: 19.939, usercpu_time_millis_testing: 0.99, usercpu_time_millis_training: 18.949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9646, kappa: 0.6082, kb_relative_information_score: 1505.4334, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9689, predictive_accuracy: 0.9696, prior_entropy: 0.3037, recall: 0.9696, relative_absolute_error: 0.5431, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1456, root_relative_squared_error: 0.6447, scimark_benchmark: 1748.552, usercpu_time_millis: 27.417, usercpu_time_millis_testing: 2.234, usercpu_time_millis_training: 25.183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9839, kappa: 0.8403, kb_relative_information_score: 2974.638, mean_absolute_error: 0.0259, 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: 0.2531, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.11, root_relative_squared_error: 0.4868, scimark_benchmark: 1863.5878, usercpu_time_millis: 45.276, usercpu_time_millis_testing: 2.002, usercpu_time_millis_training: 43.274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9731, kappa: 0.7141, kb_relative_information_score: 2064.3263, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9742, predictive_accuracy: 0.9754, prior_entropy: 0.3037, recall: 0.9754, relative_absolute_error: 0.4185, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1296, root_relative_squared_error: 0.5736, scimark_benchmark: 1811.9746, usercpu_time_millis: 12.939, usercpu_time_millis_testing: 1.118, usercpu_time_millis_training: 11.821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9838, kappa: 0.8373, kb_relative_information_score: 2948.0038, mean_absolute_error: 0.0279, 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: 0.2729, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1092, root_relative_squared_error: 0.4835, scimark_benchmark: 1849.7964, usercpu_time_millis: 19.217, usercpu_time_millis_testing: 1.152, usercpu_time_millis_training: 18.065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9774, kappa: 0.7636, kb_relative_information_score: 2549.6421, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.978, predictive_accuracy: 0.9789, prior_entropy: 0.3037, recall: 0.9789, relative_absolute_error: 0.3525, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1205, root_relative_squared_error: 0.5334, scimark_benchmark: 1849.3453, usercpu_time_millis: 7.283, usercpu_time_millis_testing: 0.608, usercpu_time_millis_training: 6.675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9751, kappa: 0.7363, kb_relative_information_score: 2433.1733, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9764, predictive_accuracy: 0.9773, prior_entropy: 0.3037, recall: 0.9773, relative_absolute_error: 0.3867, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1249, root_relative_squared_error: 0.5529, scimark_benchmark: 1735.277, usercpu_time_millis: 8.758, usercpu_time_millis_testing: 0.87, usercpu_time_millis_training: 7.888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9844, kappa: 0.844, kb_relative_information_score: 2907.853, mean_absolute_error: 0.0271, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9843, predictive_accuracy: 0.9847, prior_entropy: 0.3037, recall: 0.9847, relative_absolute_error: 0.265, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1092, root_relative_squared_error: 0.4836, scimark_benchmark: 1871.7536, usercpu_time_millis: 1.038, usercpu_time_millis_testing: 0.047, usercpu_time_millis_training: 0.991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8021, f_measure: 0.9198, kb_relative_information_score: -2444.0966, 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: 0.9716, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2208, root_relative_squared_error: 0.9776, scimark_benchmark: 1745.6581, usercpu_time_millis: 7.759, usercpu_time_millis_testing: 0.728, usercpu_time_millis_training: 7.031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9426, f_measure: 0.9198, kb_relative_information_score: -1308.3613, 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: 0.9244, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2111, root_relative_squared_error: 0.9343, scimark_benchmark: 1749.4264, usercpu_time_millis: 14.065, usercpu_time_millis_testing: 1.665, usercpu_time_millis_training: 12.4,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9843, kappa: 0.8439, kb_relative_information_score: 3156.8285, mean_absolute_error: 0.0233, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9842, predictive_accuracy: 0.9845, prior_entropy: 0.3037, recall: 0.9845, relative_absolute_error: 0.2279, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1098, root_relative_squared_error: 0.4859, scimark_benchmark: 1772.6312, usercpu_time_millis: 52.729, usercpu_time_millis_testing: 2.414, usercpu_time_millis_training: 50.315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.98, kappa: 0.7929, kb_relative_information_score: 2755.6471, mean_absolute_error: 0.034, 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: 0.3323, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.116, root_relative_squared_error: 0.5136, scimark_benchmark: 1852.9989, usercpu_time_millis: 20.937, usercpu_time_millis_testing: 1.722, usercpu_time_millis_training: 19.215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9514, f_measure: 0.9198, kb_relative_information_score: -985.7628, mean_absolute_error: 0.09, 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: 0.8803, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2027, root_relative_squared_error: 0.8972, scimark_benchmark: 1848.8955, usercpu_time_millis: 13.533, usercpu_time_millis_testing: 1.593, usercpu_time_millis_training: 11.94,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9724, kappa: 0.7034, kb_relative_information_score: 2317.4411, 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: 0.4284, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1299, root_relative_squared_error: 0.575, scimark_benchmark: 1844.9916, usercpu_time_millis: 31.466, usercpu_time_millis_testing: 2.685, usercpu_time_millis_training: 28.781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, f_measure: 0.9198, kb_relative_information_score: 4.5917, 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: 0.9982, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1964.056, usercpu_time_millis: 5.26, usercpu_time_millis_testing: 0.912, usercpu_time_millis_training: 4.348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9201, f_measure: 0.9198, kb_relative_information_score: -3254.4869, mean_absolute_error: 0.091, 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: 0.8902, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2061, root_relative_squared_error: 0.9123, scimark_benchmark: 1776.915, usercpu_time_millis: 4.904, usercpu_time_millis_testing: 0.236, usercpu_time_millis_training: 4.668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9425, f_measure: 0.9198, kb_relative_information_score: -1053.8599, mean_absolute_error: 0.0918, 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: 0.898, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2055, root_relative_squared_error: 0.9095, scimark_benchmark: 1725.8447, usercpu_time_millis: 8.27, usercpu_time_millis_testing: 0.933, usercpu_time_millis_training: 7.337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9683, kappa: 0.652, kb_relative_information_score: 2019.7088, mean_absolute_error: 0.0495, 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: 0.484, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1375, root_relative_squared_error: 0.6087, scimark_benchmark: 1805.0941, usercpu_time_millis: 7.46, usercpu_time_millis_testing: 0.733, usercpu_time_millis_training: 6.727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9701, f_measure: 0.9682, kappa: 0.6724, kb_relative_information_score: 1188.6078, mean_absolute_error: 0.0513, 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: 0.5017, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1558, root_relative_squared_error: 0.6896, scimark_benchmark: 1749.8713, usercpu_time_millis: 22.667, usercpu_time_millis_testing: 0.975, usercpu_time_millis_training: 21.692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.972, kappa: 0.7019, kb_relative_information_score: 1859.953, mean_absolute_error: 0.0468, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9732, predictive_accuracy: 0.9746, prior_entropy: 0.3037, recall: 0.9746, relative_absolute_error: 0.4574, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1361, root_relative_squared_error: 0.6026, scimark_benchmark: 1849.9206, usercpu_time_millis: 12.928, usercpu_time_millis_testing: 1.166, usercpu_time_millis_training: 11.762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.9668, kappa: 0.6395, kb_relative_information_score: 1058.1066, mean_absolute_error: 0.0601, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.969, predictive_accuracy: 0.9707, prior_entropy: 0.3037, recall: 0.9707, relative_absolute_error: 0.5882, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.157, root_relative_squared_error: 0.6951, scimark_benchmark: 1816.2223, usercpu_time_millis: 16.203, usercpu_time_millis_testing: 1.359, usercpu_time_millis_training: 14.844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9803, kappa: 0.8007, kb_relative_information_score: 2348.6214, mean_absolute_error: 0.036, 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: 0.3518, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1216, root_relative_squared_error: 0.5384, scimark_benchmark: 1833.5629, usercpu_time_millis: 13.508, usercpu_time_millis_testing: 0.759, usercpu_time_millis_training: 12.749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9837, kappa: 0.8373, kb_relative_information_score: 2962.5374, mean_absolute_error: 0.0266, 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: 0.2598, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1083, root_relative_squared_error: 0.4796, scimark_benchmark: 1848.3872, usercpu_time_millis: 26.177, usercpu_time_millis_testing: 1.434, usercpu_time_millis_training: 24.743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9835, kappa: 0.8343, kb_relative_information_score: 2967.4848, mean_absolute_error: 0.0265, 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: 0.2591, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1084, root_relative_squared_error: 0.4797, scimark_benchmark: 1854.8328, usercpu_time_millis: 7.826, usercpu_time_millis_testing: 0.371, usercpu_time_millis_training: 7.455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.968, kappa: 0.6598, kb_relative_information_score: 1079.9808, mean_absolute_error: 0.0582, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9685, predictive_accuracy: 0.9709, prior_entropy: 0.3037, recall: 0.9709, relative_absolute_error: 0.569, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1569, root_relative_squared_error: 0.6944, scimark_benchmark: 1832.3715, usercpu_time_millis: 3.609, usercpu_time_millis_testing: 0.299, usercpu_time_millis_training: 3.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9659, kappa: 0.626, kb_relative_information_score: 1398.9397, mean_absolute_error: 0.056, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.969, predictive_accuracy: 0.9702, prior_entropy: 0.3037, recall: 0.9702, relative_absolute_error: 0.5481, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1475, root_relative_squared_error: 0.6528, scimark_benchmark: 1744.4527, usercpu_time_millis: 18.688, usercpu_time_millis_testing: 1.504, usercpu_time_millis_training: 17.184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, f_measure: 0.9682, kappa: 0.67, kb_relative_information_score: 1071.4567, mean_absolute_error: 0.057, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9677, predictive_accuracy: 0.97, prior_entropy: 0.3037, recall: 0.97, relative_absolute_error: 0.5581, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1588, root_relative_squared_error: 0.7029, scimark_benchmark: 1742.5029, usercpu_time_millis: 16.023, usercpu_time_millis_testing: 0.836, usercpu_time_millis_training: 15.187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9502, f_measure: 0.9653, kappa: 0.6243, kb_relative_information_score: 762.9206, mean_absolute_error: 0.0663, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9669, predictive_accuracy: 0.9692, prior_entropy: 0.3037, recall: 0.9692, relative_absolute_error: 0.6483, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1671, root_relative_squared_error: 0.7397, scimark_benchmark: 1861.638, usercpu_time_millis: 16.487, usercpu_time_millis_testing: 0.885, usercpu_time_millis_training: 15.602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9696, kappa: 0.67, kb_relative_information_score: 2083.7598, mean_absolute_error: 0.0469, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9723, predictive_accuracy: 0.9731, prior_entropy: 0.3037, recall: 0.9731, relative_absolute_error: 0.4589, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1338, root_relative_squared_error: 0.5923, scimark_benchmark: 1866.1582, usercpu_time_millis: 8.558, usercpu_time_millis_testing: 0.684, usercpu_time_millis_training: 7.874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9325, f_measure: 0.9198, kb_relative_information_score: -1573.6909, mean_absolute_error: 0.0912, 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: 0.8923, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2047, root_relative_squared_error: 0.9064, scimark_benchmark: 1782.3933, usercpu_time_millis: 5.691, usercpu_time_millis_testing: 0.441, usercpu_time_millis_training: 5.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, f_measure: 0.9681, kappa: 0.6687, kb_relative_information_score: 929.468, mean_absolute_error: 0.059, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9676, predictive_accuracy: 0.97, prior_entropy: 0.3037, recall: 0.97, relative_absolute_error: 0.577, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1616, root_relative_squared_error: 0.7154, scimark_benchmark: 1839.0608, usercpu_time_millis: 18.643, usercpu_time_millis_testing: 0.91, usercpu_time_millis_training: 17.733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.88, f_measure: 0.9198, kb_relative_information_score: -1179.2614, mean_absolute_error: 0.0999, 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: 0.9776, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2217, root_relative_squared_error: 0.9813, scimark_benchmark: 1742.1022, usercpu_time_millis: 3.18, usercpu_time_millis_testing: 0.344, usercpu_time_millis_training: 2.836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9813, kappa: 0.809, kb_relative_information_score: 2787.3277, mean_absolute_error: 0.0311, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9812, predictive_accuracy: 0.982, prior_entropy: 0.3037, recall: 0.982, relative_absolute_error: 0.3041, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1133, root_relative_squared_error: 0.5016, scimark_benchmark: 1764.0929, usercpu_time_millis: 11.218, usercpu_time_millis_testing: 0.652, usercpu_time_millis_training: 10.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, f_measure: 0.9198, kb_relative_information_score: 4.5824, 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: 0.9982, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1761.4215, usercpu_time_millis: 5.999, usercpu_time_millis_testing: 1.016, usercpu_time_millis_training: 4.983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9787, kappa: 0.7775, kb_relative_information_score: 2533.2444, mean_absolute_error: 0.0373, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9794, predictive_accuracy: 0.9802, prior_entropy: 0.3037, recall: 0.9802, relative_absolute_error: 0.3653, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1204, root_relative_squared_error: 0.5329, scimark_benchmark: 1856.4015, usercpu_time_millis: 25.237, usercpu_time_millis_testing: 2.145, usercpu_time_millis_training: 23.092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9678, kappa: 0.6513, kb_relative_information_score: 1490.2232, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.97, predictive_accuracy: 0.9715, prior_entropy: 0.3037, recall: 0.9715, relative_absolute_error: 0.5267, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1451, root_relative_squared_error: 0.6424, scimark_benchmark: 1746.1261, usercpu_time_millis: 9.505, usercpu_time_millis_testing: 0.814, usercpu_time_millis_training: 8.691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8944, f_measure: 0.9198, kb_relative_information_score: -984.8102, mean_absolute_error: 0.0997, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9749, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2209, root_relative_squared_error: 0.978, scimark_benchmark: 1778.6102, usercpu_time_millis: 11.261, usercpu_time_millis_testing: 1.291, usercpu_time_millis_training: 9.97,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9708, kappa: 0.6854, kb_relative_information_score: 1987.9805, mean_absolute_error: 0.046, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9726, predictive_accuracy: 0.9738, prior_entropy: 0.3037, recall: 0.9738, relative_absolute_error: 0.45, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1331, root_relative_squared_error: 0.589, scimark_benchmark: 1810.4982, usercpu_time_millis: 19.991, usercpu_time_millis_testing: 1.872, usercpu_time_millis_training: 18.119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4985, f_measure: 0.9198, kb_relative_information_score: 1.2228, 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: 0.9993, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1840.3892, usercpu_time_millis: 2.485, usercpu_time_millis_testing: 0.427, usercpu_time_millis_training: 2.058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9691, kappa: 0.6711, kb_relative_information_score: 1311.7024, mean_absolute_error: 0.0535, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9698, predictive_accuracy: 0.9719, prior_entropy: 0.3037, recall: 0.9719, relative_absolute_error: 0.5237, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1485, root_relative_squared_error: 0.6575, scimark_benchmark: 1812.6254, usercpu_time_millis: 13.225, usercpu_time_millis_testing: 0.927, usercpu_time_millis_training: 12.298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9694, kappa: 0.6757, kb_relative_information_score: 1341.1387, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9701, predictive_accuracy: 0.9721, prior_entropy: 0.3037, recall: 0.9721, relative_absolute_error: 0.5169, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1479, root_relative_squared_error: 0.6548, scimark_benchmark: 1810.5642, usercpu_time_millis: 22.746, usercpu_time_millis_testing: 1.8, usercpu_time_millis_training: 20.946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9838, kappa: 0.8391, kb_relative_information_score: 2971.6153, mean_absolute_error: 0.0257, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9837, predictive_accuracy: 0.9841, prior_entropy: 0.3037, recall: 0.9841, relative_absolute_error: 0.2516, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1089, root_relative_squared_error: 0.482, scimark_benchmark: 1804.5829, usercpu_time_millis: 45.278, usercpu_time_millis_testing: 2.046, usercpu_time_millis_training: 43.232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9821, kappa: 0.8204, kb_relative_information_score: 2855.5489, mean_absolute_error: 0.0284, 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: 0.2779, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1127, root_relative_squared_error: 0.4989, scimark_benchmark: 1864.6011, usercpu_time_millis: 7.181, usercpu_time_millis_testing: 0.258, usercpu_time_millis_training: 6.923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9669, kappa: 0.6347, kb_relative_information_score: 1823.3768, mean_absolute_error: 0.0516, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9708, predictive_accuracy: 0.9713, prior_entropy: 0.3037, recall: 0.9713, relative_absolute_error: 0.5048, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1421, root_relative_squared_error: 0.6291, scimark_benchmark: 1722.2773, usercpu_time_millis: 4.127, usercpu_time_millis_testing: 0.502, usercpu_time_millis_training: 3.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8346, f_measure: 0.9198, kb_relative_information_score: -1119.2088, 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: 0.9729, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2206, root_relative_squared_error: 0.9764, scimark_benchmark: 1835.1676, usercpu_time_millis: 9.567, usercpu_time_millis_testing: 1.031, usercpu_time_millis_training: 8.536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.979, kappa: 0.7837, kb_relative_information_score: 2369.5221, mean_absolute_error: 0.0369, 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: 0.3615, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.122, root_relative_squared_error: 0.5401, scimark_benchmark: 1724.3964, usercpu_time_millis: 1.28, usercpu_time_millis_testing: 0.231, usercpu_time_millis_training: 1.049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9749, kappa: 0.7329, kb_relative_information_score: 2396.1211, mean_absolute_error: 0.0415, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9767, predictive_accuracy: 0.9773, prior_entropy: 0.3037, recall: 0.9773, relative_absolute_error: 0.406, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1266, root_relative_squared_error: 0.5603, scimark_benchmark: 1844.7474, usercpu_time_millis: 14.078, usercpu_time_millis_testing: 1.464, usercpu_time_millis_training: 12.614,

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