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: 0.9876, f_measure: 0.9712, kappa: 0.6927, kb_relative_information_score: 1950.893, mean_absolute_error: 0.0456, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9726, predictive_accuracy: 0.974, prior_entropy: 0.3037, recall: 0.974, relative_absolute_error: 0.4459, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1326, root_relative_squared_error: 0.5869, scimark_benchmark: 1873.4078, usercpu_time_millis: 24.281, usercpu_time_millis_testing: 1.504, usercpu_time_millis_training: 22.777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9809, kappa: 0.8041, kb_relative_information_score: 2832.2868, mean_absolute_error: 0.0324, 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: 0.3173, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1138, root_relative_squared_error: 0.5037, scimark_benchmark: 1859.9211, usercpu_time_millis: 32.725, usercpu_time_millis_testing: 1.956, usercpu_time_millis_training: 30.769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9815, kappa: 0.8116, kb_relative_information_score: 2649.762, mean_absolute_error: 0.0328, 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: 0.3204, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.116, root_relative_squared_error: 0.5135, scimark_benchmark: 1822.7799, usercpu_time_millis: 27.154, usercpu_time_millis_testing: 1.777, usercpu_time_millis_training: 25.377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9658, kappa: 0.6225, kb_relative_information_score: 1588.7541, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9698, predictive_accuracy: 0.9704, prior_entropy: 0.3037, recall: 0.9704, relative_absolute_error: 0.5304, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1438, root_relative_squared_error: 0.6366, scimark_benchmark: 1870.9768, usercpu_time_millis: 23.264, usercpu_time_millis_testing: 2.079, usercpu_time_millis_training: 21.185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9838, kappa: 0.8379, kb_relative_information_score: 3111.1872, mean_absolute_error: 0.0254, 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: 0.2481, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1093, root_relative_squared_error: 0.4839, scimark_benchmark: 1871.3925, usercpu_time_millis: 43.117, usercpu_time_millis_testing: 2.162, usercpu_time_millis_training: 40.955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9833, kappa: 0.8356, kb_relative_information_score: 2790.3289, mean_absolute_error: 0.0281, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9832, predictive_accuracy: 0.9835, prior_entropy: 0.3037, recall: 0.9835, relative_absolute_error: 0.2751, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1136, root_relative_squared_error: 0.5028, scimark_benchmark: 1869.1727, usercpu_time_millis: 33.883, usercpu_time_millis_testing: 1.238, usercpu_time_millis_training: 32.645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.9798, kappa: 0.8023, kb_relative_information_score: 3113.9849, mean_absolute_error: 0.0234, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9798, predictive_accuracy: 0.9797, prior_entropy: 0.3037, recall: 0.9797, relative_absolute_error: 0.2294, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1217, root_relative_squared_error: 0.5386, scimark_benchmark: 1867.5973, usercpu_time_millis: 23.224, usercpu_time_millis_testing: 0.638, usercpu_time_millis_training: 22.586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9689, kappa: 0.6603, kb_relative_information_score: 1972.0403, mean_absolute_error: 0.0493, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9722, predictive_accuracy: 0.9727, prior_entropy: 0.3037, recall: 0.9727, relative_absolute_error: 0.4822, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.136, root_relative_squared_error: 0.602, scimark_benchmark: 1860.0553, usercpu_time_millis: 27.894, usercpu_time_millis_testing: 2.372, usercpu_time_millis_training: 25.522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9746, kappa: 0.7292, kb_relative_information_score: 2315.222, mean_absolute_error: 0.0422, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9761, predictive_accuracy: 0.9769, prior_entropy: 0.3037, recall: 0.9769, relative_absolute_error: 0.4128, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1296, root_relative_squared_error: 0.5738, scimark_benchmark: 1873.4078, usercpu_time_millis: 18.383, usercpu_time_millis_testing: 1.693, usercpu_time_millis_training: 16.69,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9742, kappa: 0.7255, kb_relative_information_score: 2390.2923, mean_absolute_error: 0.0415, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9755, predictive_accuracy: 0.9764, prior_entropy: 0.3037, recall: 0.9764, relative_absolute_error: 0.4064, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1274, root_relative_squared_error: 0.564, scimark_benchmark: 1864.0522, usercpu_time_millis: 38.936, usercpu_time_millis_testing: 3.32, usercpu_time_millis_training: 35.616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.9703, kappa: 0.6862, kb_relative_information_score: 1290.5636, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9707, predictive_accuracy: 0.9727, prior_entropy: 0.3037, recall: 0.9727, relative_absolute_error: 0.5175, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1505, root_relative_squared_error: 0.6664, scimark_benchmark: 1872.4216, usercpu_time_millis: 18.101, usercpu_time_millis_testing: 1.303, usercpu_time_millis_training: 16.798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9721, kappa: 0.699, kb_relative_information_score: 2037.5819, mean_absolute_error: 0.046, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9743, predictive_accuracy: 0.975, prior_entropy: 0.3037, recall: 0.975, relative_absolute_error: 0.4502, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1321, root_relative_squared_error: 0.5847, scimark_benchmark: 1866.9963, usercpu_time_millis: 26.051, usercpu_time_millis_testing: 1.976, usercpu_time_millis_training: 24.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9717, kappa: 0.7045, kb_relative_information_score: 1885.6461, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9717, predictive_accuracy: 0.9735, prior_entropy: 0.3037, recall: 0.9735, relative_absolute_error: 0.4452, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1357, root_relative_squared_error: 0.6008, scimark_benchmark: 1877.7472, usercpu_time_millis: 17.012, usercpu_time_millis_testing: 1.023, usercpu_time_millis_training: 15.989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9837, kappa: 0.8361, kb_relative_information_score: 3024.165, mean_absolute_error: 0.0274, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9836, predictive_accuracy: 0.9841, prior_entropy: 0.3037, recall: 0.9841, relative_absolute_error: 0.2678, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1086, root_relative_squared_error: 0.4808, scimark_benchmark: 1853.9757, usercpu_time_millis: 44.601, usercpu_time_millis_testing: 2.636, usercpu_time_millis_training: 41.965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.9616, kappa: 0.5718, kb_relative_information_score: 1086.1497, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9661, predictive_accuracy: 0.9673, prior_entropy: 0.3037, recall: 0.9673, relative_absolute_error: 0.6068, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1561, root_relative_squared_error: 0.6908, scimark_benchmark: 1860.4615, usercpu_time_millis: 26.403, usercpu_time_millis_testing: 2.586, usercpu_time_millis_training: 23.817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9843, kappa: 0.8439, kb_relative_information_score: 3046.2897, mean_absolute_error: 0.0257, 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: 0.2512, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1076, root_relative_squared_error: 0.4764, scimark_benchmark: 1858.4861, usercpu_time_millis: 26.868, usercpu_time_millis_testing: 1.275, usercpu_time_millis_training: 25.593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9839, kappa: 0.8403, kb_relative_information_score: 2978.4448, mean_absolute_error: 0.0255, 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: 0.2495, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1092, root_relative_squared_error: 0.4836, scimark_benchmark: 1878.8582, usercpu_time_millis: 38.439, usercpu_time_millis_testing: 1.34, usercpu_time_millis_training: 37.099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9807, kappa: 0.8043, kb_relative_information_score: 2502.3242, mean_absolute_error: 0.0336, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9806, predictive_accuracy: 0.9814, prior_entropy: 0.3037, recall: 0.9814, relative_absolute_error: 0.3284, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1188, root_relative_squared_error: 0.5259, scimark_benchmark: 1872.9496, usercpu_time_millis: 16.847, usercpu_time_millis_testing: 0.908, usercpu_time_millis_training: 15.939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9676, kappa: 0.6604, kb_relative_information_score: 1327.4267, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9675, predictive_accuracy: 0.97, prior_entropy: 0.3037, recall: 0.97, relative_absolute_error: 0.5337, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1502, root_relative_squared_error: 0.665, scimark_benchmark: 1861.1866, usercpu_time_millis: 25.997, usercpu_time_millis_testing: 1.459, usercpu_time_millis_training: 24.538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.9694, kappa: 0.6855, kb_relative_information_score: 1951.3349, mean_absolute_error: 0.0461, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9688, predictive_accuracy: 0.9709, prior_entropy: 0.3037, recall: 0.9709, relative_absolute_error: 0.4507, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1409, root_relative_squared_error: 0.6239, scimark_benchmark: 1860.3388, usercpu_time_millis: 23.77, usercpu_time_millis_testing: 1.149, usercpu_time_millis_training: 22.621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9824, kappa: 0.8261, kb_relative_information_score: 2685.093, mean_absolute_error: 0.0301, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9823, predictive_accuracy: 0.9826, prior_entropy: 0.3037, recall: 0.9826, relative_absolute_error: 0.2941, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1182, root_relative_squared_error: 0.5231, scimark_benchmark: 1832.3584, usercpu_time_millis: 21.536, usercpu_time_millis_testing: 0.894, usercpu_time_millis_training: 20.642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9808, kappa: 0.8025, kb_relative_information_score: 2645.1677, mean_absolute_error: 0.0349, 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: 0.3411, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1165, root_relative_squared_error: 0.5157, scimark_benchmark: 1830.0638, usercpu_time_millis: 19.057, usercpu_time_millis_testing: 1.058, usercpu_time_millis_training: 17.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9841, kappa: 0.8427, kb_relative_information_score: 3044.6822, mean_absolute_error: 0.0247, 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: 0.2419, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1092, root_relative_squared_error: 0.4833, scimark_benchmark: 1868.6447, usercpu_time_millis: 43.483, usercpu_time_millis_testing: 1.832, usercpu_time_millis_training: 41.651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9656, f_measure: 0.9605, kappa: 0.5588, kb_relative_information_score: 838.2154, mean_absolute_error: 0.0668, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.965, predictive_accuracy: 0.9665, prior_entropy: 0.3037, recall: 0.9665, relative_absolute_error: 0.6538, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1666, root_relative_squared_error: 0.7376, scimark_benchmark: 1873.4078, usercpu_time_millis: 15.754, usercpu_time_millis_testing: 1.113, usercpu_time_millis_training: 14.641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9715, kappa: 0.6958, kb_relative_information_score: 1799.4872, mean_absolute_error: 0.0477, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9728, predictive_accuracy: 0.9742, prior_entropy: 0.3037, recall: 0.9742, relative_absolute_error: 0.4671, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1375, root_relative_squared_error: 0.6089, scimark_benchmark: 1828.0485, usercpu_time_millis: 18.161, usercpu_time_millis_testing: 1.711, usercpu_time_millis_training: 16.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9833, kappa: 0.835, kb_relative_information_score: 3202.8416, mean_absolute_error: 0.0224, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9832, predictive_accuracy: 0.9835, prior_entropy: 0.3037, recall: 0.9835, relative_absolute_error: 0.2187, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1149, root_relative_squared_error: 0.5086, scimark_benchmark: 1877.2162, usercpu_time_millis: 34.711, usercpu_time_millis_testing: 1.233, usercpu_time_millis_training: 33.478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9702, kappa: 0.6815, kb_relative_information_score: 1635.1228, mean_absolute_error: 0.0499, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9716, predictive_accuracy: 0.9731, prior_entropy: 0.3037, recall: 0.9731, relative_absolute_error: 0.4885, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1413, root_relative_squared_error: 0.6255, scimark_benchmark: 1864.0845, usercpu_time_millis: 14.521, usercpu_time_millis_testing: 1.388, usercpu_time_millis_training: 13.133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.9691, kappa: 0.6711, kb_relative_information_score: 1278.9421, mean_absolute_error: 0.054, 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: 0.5284, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1495, root_relative_squared_error: 0.662, scimark_benchmark: 1851.3591, usercpu_time_millis: 13.156, usercpu_time_millis_testing: 0.896, usercpu_time_millis_training: 12.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9843, kappa: 0.8433, kb_relative_information_score: 3036.5517, mean_absolute_error: 0.0257, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9841, predictive_accuracy: 0.9845, prior_entropy: 0.3037, recall: 0.9845, relative_absolute_error: 0.2511, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1079, root_relative_squared_error: 0.4777, scimark_benchmark: 1855.507, usercpu_time_millis: 14.173, usercpu_time_millis_testing: 0.539, usercpu_time_millis_training: 13.634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9686, kappa: 0.6569, kb_relative_information_score: 1996.9917, mean_absolute_error: 0.0489, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.972, predictive_accuracy: 0.9725, prior_entropy: 0.3037, recall: 0.9725, relative_absolute_error: 0.4788, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1355, root_relative_squared_error: 0.5996, scimark_benchmark: 1865.6428, usercpu_time_millis: 34.82, usercpu_time_millis_testing: 3.209, usercpu_time_millis_training: 31.611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9742, kappa: 0.7255, kb_relative_information_score: 2364.3062, mean_absolute_error: 0.0415, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9755, predictive_accuracy: 0.9764, prior_entropy: 0.3037, recall: 0.9764, relative_absolute_error: 0.4056, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1267, root_relative_squared_error: 0.5611, scimark_benchmark: 1868.1751, usercpu_time_millis: 25.661, usercpu_time_millis_testing: 2.089, usercpu_time_millis_training: 23.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9745, kappa: 0.7308, kb_relative_information_score: 2417.0891, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9756, predictive_accuracy: 0.9766, prior_entropy: 0.3037, recall: 0.9766, relative_absolute_error: 0.3868, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1254, root_relative_squared_error: 0.555, scimark_benchmark: 1873.4078, usercpu_time_millis: 11.687, usercpu_time_millis_testing: 0.832, usercpu_time_millis_training: 10.855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9744, kappa: 0.7285, kb_relative_information_score: 2399.8285, mean_absolute_error: 0.0408, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9757, predictive_accuracy: 0.9766, prior_entropy: 0.3037, recall: 0.9766, relative_absolute_error: 0.3993, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1261, root_relative_squared_error: 0.5584, scimark_benchmark: 1874.8648, usercpu_time_millis: 32.044, usercpu_time_millis_testing: 2.653, usercpu_time_millis_training: 29.391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9839, kappa: 0.8403, kb_relative_information_score: 3012.6054, mean_absolute_error: 0.0248, 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: 0.2421, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1089, root_relative_squared_error: 0.4822, scimark_benchmark: 1865.7043, usercpu_time_millis: 32.774, usercpu_time_millis_testing: 1.463, usercpu_time_millis_training: 31.311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9672, f_measure: 0.9483, kappa: 0.3957, kb_relative_information_score: 352.4227, mean_absolute_error: 0.0706, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9594, predictive_accuracy: 0.9595, prior_entropy: 0.3037, recall: 0.9595, relative_absolute_error: 0.6909, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1707, root_relative_squared_error: 0.7559, scimark_benchmark: 1840.5082, usercpu_time_millis: 17.019, usercpu_time_millis_testing: 1.346, usercpu_time_millis_training: 15.673,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.9738, kappa: 0.7421, kb_relative_information_score: 2166.361, mean_absolute_error: 0.0417, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9737, predictive_accuracy: 0.974, prior_entropy: 0.3037, recall: 0.974, relative_absolute_error: 0.4081, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1415, root_relative_squared_error: 0.6263, scimark_benchmark: 1872.9496, usercpu_time_millis: 3.881, usercpu_time_millis_testing: 0.12, usercpu_time_millis_training: 3.761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.9605, kappa: 0.5556, kb_relative_information_score: 993.3582, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9666, predictive_accuracy: 0.9669, prior_entropy: 0.3037, recall: 0.9669, relative_absolute_error: 0.6233, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1587, root_relative_squared_error: 0.7025, scimark_benchmark: 1860.797, usercpu_time_millis: 18.414, usercpu_time_millis_testing: 1.955, usercpu_time_millis_training: 16.459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9705, kappa: 0.6812, kb_relative_information_score: 2203.1066, mean_absolute_error: 0.0463, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9729, predictive_accuracy: 0.9738, prior_entropy: 0.3037, recall: 0.9738, relative_absolute_error: 0.453, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.133, root_relative_squared_error: 0.5888, scimark_benchmark: 1874.9669, usercpu_time_millis: 20.888, usercpu_time_millis_testing: 1.839, usercpu_time_millis_training: 19.049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9486, f_measure: 0.9198, kb_relative_information_score: -2104.0763, mean_absolute_error: 0.0864, 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: 0.8448, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1969, root_relative_squared_error: 0.8717, scimark_benchmark: 1872.4216, usercpu_time_millis: 2.413, usercpu_time_millis_testing: 0.143, usercpu_time_millis_training: 2.27,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9845, kappa: 0.8457, kb_relative_information_score: 3066.9581, mean_absolute_error: 0.0254, 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: 0.2485, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1073, root_relative_squared_error: 0.4752, scimark_benchmark: 1871.4349, usercpu_time_millis: 26.359, usercpu_time_millis_testing: 1.307, usercpu_time_millis_training: 25.052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.9198, kb_relative_information_score: 2.8593, 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: 1873.4078, usercpu_time_millis: 4.125, usercpu_time_millis_testing: 0.794, usercpu_time_millis_training: 3.331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9829, kappa: 0.8274, kb_relative_information_score: 2830.1633, mean_absolute_error: 0.0306, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9828, predictive_accuracy: 0.9835, prior_entropy: 0.3037, recall: 0.9835, relative_absolute_error: 0.2995, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1112, root_relative_squared_error: 0.4923, scimark_benchmark: 1878.1423, usercpu_time_millis: 23.163, usercpu_time_millis_testing: 1.264, usercpu_time_millis_training: 21.899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.9761, kappa: 0.765, kb_relative_information_score: 2146.7965, mean_absolute_error: 0.0401, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.976, predictive_accuracy: 0.9762, prior_entropy: 0.3037, recall: 0.9762, relative_absolute_error: 0.392, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1374, root_relative_squared_error: 0.6082, scimark_benchmark: 1841.5493, usercpu_time_millis: 8.493, usercpu_time_millis_testing: 0.253, usercpu_time_millis_training: 8.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, f_measure: 0.9198, kb_relative_information_score: 2.9242, 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: 1873.4078, usercpu_time_millis: 2.947, usercpu_time_millis_testing: 0.729, usercpu_time_millis_training: 2.218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.951, kappa: 0.4298, kb_relative_information_score: 1012.221, mean_absolute_error: 0.0662, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9616, predictive_accuracy: 0.9611, prior_entropy: 0.3037, recall: 0.9611, relative_absolute_error: 0.6472, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1634, root_relative_squared_error: 0.7232, scimark_benchmark: 1844.0458, usercpu_time_millis: 8.309, usercpu_time_millis_testing: 1.006, usercpu_time_millis_training: 7.303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9758, kappa: 0.744, kb_relative_information_score: 2354.507, mean_absolute_error: 0.0409, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9772, predictive_accuracy: 0.9779, prior_entropy: 0.3037, recall: 0.9779, relative_absolute_error: 0.3997, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1251, root_relative_squared_error: 0.5539, scimark_benchmark: 1855.2567, usercpu_time_millis: 2.779, usercpu_time_millis_testing: 0.19, usercpu_time_millis_training: 2.589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.931, f_measure: 0.9198, kb_relative_information_score: -1390.8359, mean_absolute_error: 0.0977, 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: 0.9561, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.217, root_relative_squared_error: 0.9608, scimark_benchmark: 1868.8644, usercpu_time_millis: 4.731, usercpu_time_millis_testing: 0.472, usercpu_time_millis_training: 4.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9833, kappa: 0.8318, kb_relative_information_score: 3044.3663, mean_absolute_error: 0.0268, 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: 0.2626, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1089, root_relative_squared_error: 0.4822, scimark_benchmark: 1130.7583, usercpu_time_millis: 41.263, usercpu_time_millis_testing: 2.534, usercpu_time_millis_training: 38.729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9468, f_measure: 0.9198, kb_relative_information_score: -955.3089, mean_absolute_error: 0.0908, 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: 0.8885, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2038, root_relative_squared_error: 0.9022, scimark_benchmark: 1870.4545, usercpu_time_millis: 11.413, usercpu_time_millis_testing: 0.996, usercpu_time_millis_training: 10.417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8479, f_measure: 0.9198, kb_relative_information_score: -2747.0309, mean_absolute_error: 0.0986, 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: 0.9644, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2195, root_relative_squared_error: 0.9717, scimark_benchmark: 1869.1727, usercpu_time_millis: 2.4, usercpu_time_millis_testing: 0.173, usercpu_time_millis_training: 2.227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, f_measure: 0.9198, kb_relative_information_score: 4.9579, 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: 1871.8964, usercpu_time_millis: 3.785, usercpu_time_millis_testing: 0.667, usercpu_time_millis_training: 3.118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9702, f_measure: 0.969, kappa: 0.6768, kb_relative_information_score: 1156.4352, mean_absolute_error: 0.0509, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9688, predictive_accuracy: 0.9711, prior_entropy: 0.3037, recall: 0.9711, relative_absolute_error: 0.4975, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1528, root_relative_squared_error: 0.6766, scimark_benchmark: 1872.4216, usercpu_time_millis: 22.38, usercpu_time_millis_testing: 1.107, usercpu_time_millis_training: 21.273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9831, kappa: 0.832, kb_relative_information_score: 3206.9344, mean_absolute_error: 0.0227, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9829, predictive_accuracy: 0.9833, prior_entropy: 0.3037, recall: 0.9833, relative_absolute_error: 0.2225, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1117, root_relative_squared_error: 0.4946, scimark_benchmark: 1865.4271, usercpu_time_millis: 22.609, usercpu_time_millis_testing: 1.105, usercpu_time_millis_training: 21.504,
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: 0.9887, f_measure: 0.9742, kappa: 0.7238, kb_relative_information_score: 2346.113, mean_absolute_error: 0.042, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.976, predictive_accuracy: 0.9766, prior_entropy: 0.3037, recall: 0.9766, relative_absolute_error: 0.4111, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1267, root_relative_squared_error: 0.5609, scimark_benchmark: 1853.1306, usercpu_time_millis: 21.714, usercpu_time_millis_testing: 2.142, usercpu_time_millis_training: 19.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9809, kappa: 0.8061, kb_relative_information_score: 2647.1051, mean_absolute_error: 0.0318, 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: 0.3113, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.116, root_relative_squared_error: 0.5134, scimark_benchmark: 1877.7472, usercpu_time_millis: 23.735, usercpu_time_millis_testing: 1.412, usercpu_time_millis_training: 22.323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.9533, kappa: 0.4625, kb_relative_information_score: 725.0071, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9621, predictive_accuracy: 0.9624, prior_entropy: 0.3037, recall: 0.9624, relative_absolute_error: 0.6579, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.166, root_relative_squared_error: 0.7349, scimark_benchmark: 1856.035, usercpu_time_millis: 1.252, usercpu_time_millis_testing: 0.105, usercpu_time_millis_training: 1.147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9749, kappa: 0.7349, kb_relative_information_score: 2420.0502, mean_absolute_error: 0.0386, 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: 0.3777, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1248, root_relative_squared_error: 0.5527, scimark_benchmark: 1872.8797, usercpu_time_millis: 3.079, usercpu_time_millis_testing: 0.252, usercpu_time_millis_training: 2.827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9843, kappa: 0.8439, kb_relative_information_score: 3118.4025, mean_absolute_error: 0.0245, 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: 0.2393, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1074, root_relative_squared_error: 0.4753, scimark_benchmark: 1855.3494, usercpu_time_millis: 12.297, usercpu_time_millis_testing: 0.469, usercpu_time_millis_training: 11.828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8824, f_measure: 0.9198, kb_relative_information_score: -1386.2462, mean_absolute_error: 0.0998, 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: 0.9766, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2212, root_relative_squared_error: 0.9793, scimark_benchmark: 1860.3388, usercpu_time_millis: 0.691, usercpu_time_millis_testing: 0.067, usercpu_time_millis_training: 0.624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.98, kappa: 0.7952, kb_relative_information_score: 2692.2386, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9801, predictive_accuracy: 0.981, prior_entropy: 0.3037, recall: 0.981, relative_absolute_error: 0.3159, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1161, root_relative_squared_error: 0.5141, scimark_benchmark: 1867.725, usercpu_time_millis: 23.748, usercpu_time_millis_testing: 1.781, usercpu_time_millis_training: 21.967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9701, kappa: 0.6751, kb_relative_information_score: 2097.6239, mean_absolute_error: 0.0476, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9729, predictive_accuracy: 0.9735, prior_entropy: 0.3037, recall: 0.9735, relative_absolute_error: 0.466, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1361, root_relative_squared_error: 0.6027, scimark_benchmark: 1830.0638, usercpu_time_millis: 6.937, usercpu_time_millis_testing: 0.715, usercpu_time_millis_training: 6.222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, f_measure: 0.9198, kb_relative_information_score: 5.0798, 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: 1861.0453, usercpu_time_millis: 5.924, usercpu_time_millis_testing: 1.016, usercpu_time_millis_training: 4.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9722, f_measure: 0.9626, kappa: 0.5872, kb_relative_information_score: 762.5406, mean_absolute_error: 0.0642, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9659, predictive_accuracy: 0.9678, prior_entropy: 0.3037, recall: 0.9678, relative_absolute_error: 0.6281, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1622, root_relative_squared_error: 0.7179, scimark_benchmark: 1872.4881, usercpu_time_millis: 1.114, usercpu_time_millis_testing: 0.059, usercpu_time_millis_training: 1.055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9753, kappa: 0.7577, kb_relative_information_score: 2165.6804, mean_absolute_error: 0.0409, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9753, predictive_accuracy: 0.9754, prior_entropy: 0.3037, recall: 0.9754, relative_absolute_error: 0.3997, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1391, root_relative_squared_error: 0.6159, scimark_benchmark: 1822.7799, usercpu_time_millis: 5.099, usercpu_time_millis_testing: 0.143, usercpu_time_millis_training: 4.956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9831, kappa: 0.8313, kb_relative_information_score: 3117.4227, mean_absolute_error: 0.0252, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.983, predictive_accuracy: 0.9835, prior_entropy: 0.3037, recall: 0.9835, relative_absolute_error: 0.2467, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1093, root_relative_squared_error: 0.4838, scimark_benchmark: 1865.6416, usercpu_time_millis: 50.132, usercpu_time_millis_testing: 2.733, usercpu_time_millis_training: 47.399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9841, kappa: 0.8397, kb_relative_information_score: 2943.1096, mean_absolute_error: 0.0286, 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: 0.2802, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1097, root_relative_squared_error: 0.4857, scimark_benchmark: 1866.6776, usercpu_time_millis: 13.16, usercpu_time_millis_testing: 0.717, usercpu_time_millis_training: 12.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9683, f_measure: 0.9652, kappa: 0.6209, kb_relative_information_score: 837.7289, mean_absolute_error: 0.0644, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9674, predictive_accuracy: 0.9694, prior_entropy: 0.3037, recall: 0.9694, relative_absolute_error: 0.6301, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1632, root_relative_squared_error: 0.7226, scimark_benchmark: 1826.1793, usercpu_time_millis: 8.106, usercpu_time_millis_testing: 0.467, usercpu_time_millis_training: 7.639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.884, f_measure: 0.9198, kb_relative_information_score: -945.5433, mean_absolute_error: 0.1002, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9804, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2221, root_relative_squared_error: 0.9832, scimark_benchmark: 1842.0774, usercpu_time_millis: 4.994, usercpu_time_millis_testing: 0.755, usercpu_time_millis_training: 4.239,

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

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Download this task directly in your environment and automatically upload your results

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From your own software

Use one of our APIs to download data from OpenML and upload your results

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