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: 0.9877, f_measure: 0.9691, kappa: 0.6621, kb_relative_information_score: 2126.1488, mean_absolute_error: 0.0477, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9725, predictive_accuracy: 0.9729, prior_entropy: 0.3037, recall: 0.9729, relative_absolute_error: 0.4671, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1351, root_relative_squared_error: 0.5982, scimark_benchmark: 1776.915, usercpu_time_millis: 25.176, usercpu_time_millis_testing: 2.397, usercpu_time_millis_training: 22.779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.9746, kappa: 0.7525, kb_relative_information_score: 2066.3415, mean_absolute_error: 0.0402, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9748, predictive_accuracy: 0.9744, prior_entropy: 0.3037, recall: 0.9744, relative_absolute_error: 0.3928, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1422, root_relative_squared_error: 0.6293, scimark_benchmark: 1794.5407, usercpu_time_millis: 32.476, usercpu_time_millis_testing: 1.073, usercpu_time_millis_training: 31.403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9701, kappa: 0.6751, kb_relative_information_score: 2029.3891, mean_absolute_error: 0.0482, 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: 0.4719, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1345, root_relative_squared_error: 0.5954, scimark_benchmark: 1748.4022, usercpu_time_millis: 37.354, usercpu_time_millis_testing: 3.582, usercpu_time_millis_training: 33.772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9798, kappa: 0.7991, kb_relative_information_score: 2403.3244, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9796, predictive_accuracy: 0.9802, prior_entropy: 0.3037, recall: 0.9802, relative_absolute_error: 0.3521, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1239, root_relative_squared_error: 0.5483, scimark_benchmark: 1872.9496, usercpu_time_millis: 43.9, usercpu_time_millis_testing: 1.923, usercpu_time_millis_training: 41.977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.984, kappa: 0.8403, kb_relative_information_score: 3020.3589, mean_absolute_error: 0.0259, 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: 0.2535, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1076, root_relative_squared_error: 0.4763, scimark_benchmark: 1761.7275, usercpu_time_millis: 38.434, usercpu_time_millis_testing: 1.798, usercpu_time_millis_training: 36.636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9811, kappa: 0.806, kb_relative_information_score: 2799.9218, mean_absolute_error: 0.0331, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9813, predictive_accuracy: 0.982, prior_entropy: 0.3037, recall: 0.982, relative_absolute_error: 0.3235, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1141, root_relative_squared_error: 0.5052, scimark_benchmark: 1769.1244, usercpu_time_millis: 25.635, usercpu_time_millis_testing: 1.586, usercpu_time_millis_training: 24.049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9841, kappa: 0.8421, kb_relative_information_score: 3097.1521, mean_absolute_error: 0.0238, 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: 0.2331, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1083, root_relative_squared_error: 0.4792, scimark_benchmark: 1749.2687, usercpu_time_millis: 36.613, usercpu_time_millis_testing: 1.367, usercpu_time_millis_training: 35.246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9841, kappa: 0.8409, kb_relative_information_score: 2925.272, mean_absolute_error: 0.0272, 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: 0.266, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.109, root_relative_squared_error: 0.4827, scimark_benchmark: 1895.1676, usercpu_time_millis: 24.937, usercpu_time_millis_testing: 1.475, usercpu_time_millis_training: 23.462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9852, kappa: 0.8533, kb_relative_information_score: 3060.1879, mean_absolute_error: 0.0246, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9851, predictive_accuracy: 0.9853, prior_entropy: 0.3037, recall: 0.9853, relative_absolute_error: 0.2411, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1088, root_relative_squared_error: 0.4815, scimark_benchmark: 1741.6387, usercpu_time_millis: 42.132, usercpu_time_millis_testing: 2.089, usercpu_time_millis_training: 40.043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9832, kappa: 0.8326, kb_relative_information_score: 3006.5166, mean_absolute_error: 0.0251, 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: 0.2457, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1084, root_relative_squared_error: 0.4797, scimark_benchmark: 1756.5914, usercpu_time_millis: 39.004, usercpu_time_millis_testing: 1.929, usercpu_time_millis_training: 37.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.979, kappa: 0.782, kb_relative_information_score: 2336.5712, mean_absolute_error: 0.039, 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: 0.3813, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1237, root_relative_squared_error: 0.5474, scimark_benchmark: 1872.9496, usercpu_time_millis: 11.308, usercpu_time_millis_testing: 0.594, usercpu_time_millis_training: 10.714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9733, kappa: 0.7207, kb_relative_information_score: 1934.4268, mean_absolute_error: 0.043, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9736, predictive_accuracy: 0.9752, prior_entropy: 0.3037, recall: 0.9752, relative_absolute_error: 0.4209, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1322, root_relative_squared_error: 0.5851, scimark_benchmark: 791.1719, usercpu_time_millis: 33.351, usercpu_time_millis_testing: 1.933, usercpu_time_millis_training: 31.418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9792, kappa: 0.7847, kb_relative_information_score: 2691.4751, mean_absolute_error: 0.0336, 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: 0.329, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1168, root_relative_squared_error: 0.5171, scimark_benchmark: 1705.2294, usercpu_time_millis: 26.339, usercpu_time_millis_testing: 2.597, usercpu_time_millis_training: 23.742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9839, kappa: 0.8397, kb_relative_information_score: 2976.5246, mean_absolute_error: 0.0255, 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: 0.2499, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.109, root_relative_squared_error: 0.4825, scimark_benchmark: 1753.4336, usercpu_time_millis: 52.536, usercpu_time_millis_testing: 2.099, usercpu_time_millis_training: 50.437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.983, kappa: 0.8302, kb_relative_information_score: 2846.0659, mean_absolute_error: 0.0285, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9828, predictive_accuracy: 0.9833, prior_entropy: 0.3037, recall: 0.9833, relative_absolute_error: 0.279, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1125, root_relative_squared_error: 0.4978, scimark_benchmark: 1752.4403, usercpu_time_millis: 20.957, usercpu_time_millis_testing: 0.981, usercpu_time_millis_training: 19.976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.9833, kappa: 0.835, kb_relative_information_score: 3200.9701, mean_absolute_error: 0.0227, 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: 0.2218, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.113, root_relative_squared_error: 0.5003, scimark_benchmark: 1755.8886, usercpu_time_millis: 40.996, usercpu_time_millis_testing: 1.625, usercpu_time_millis_training: 39.371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9681, kappa: 0.6516, kb_relative_information_score: 1866.5414, mean_absolute_error: 0.0493, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9709, predictive_accuracy: 0.9719, prior_entropy: 0.3037, recall: 0.9719, relative_absolute_error: 0.482, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1369, root_relative_squared_error: 0.606, scimark_benchmark: 1739.8218, usercpu_time_millis: 15.959, usercpu_time_millis_testing: 1.282, usercpu_time_millis_training: 14.677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9838, kappa: 0.8385, kb_relative_information_score: 3019.9209, mean_absolute_error: 0.0261, 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: 0.2557, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1077, root_relative_squared_error: 0.4766, scimark_benchmark: 1728.4013, usercpu_time_millis: 47.971, usercpu_time_millis_testing: 3.271, usercpu_time_millis_training: 44.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.982, kappa: 0.8229, kb_relative_information_score: 3164.4193, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9819, predictive_accuracy: 0.982, prior_entropy: 0.3037, recall: 0.982, relative_absolute_error: 0.2228, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1186, root_relative_squared_error: 0.5248, scimark_benchmark: 2027.0084, usercpu_time_millis: 60.344, usercpu_time_millis_testing: 1.89, usercpu_time_millis_training: 58.454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9822, kappa: 0.8208, kb_relative_information_score: 2700.3254, mean_absolute_error: 0.0304, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.982, predictive_accuracy: 0.9826, prior_entropy: 0.3037, recall: 0.9826, relative_absolute_error: 0.2975, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1142, root_relative_squared_error: 0.5058, scimark_benchmark: 1751.9247, usercpu_time_millis: 30.549, usercpu_time_millis_testing: 1.795, usercpu_time_millis_training: 28.754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.984, kappa: 0.8397, kb_relative_information_score: 3024.1268, mean_absolute_error: 0.0263, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9838, predictive_accuracy: 0.9843, prior_entropy: 0.3037, recall: 0.9843, relative_absolute_error: 0.2576, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1094, root_relative_squared_error: 0.4844, scimark_benchmark: 1913.6852, usercpu_time_millis: 37.036, usercpu_time_millis_testing: 1.661, usercpu_time_millis_training: 35.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9755, f_measure: 0.9423, kappa: 0.3136, kb_relative_information_score: 398.8674, mean_absolute_error: 0.0723, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9575, predictive_accuracy: 0.9564, prior_entropy: 0.3037, recall: 0.9564, relative_absolute_error: 0.7074, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1726, root_relative_squared_error: 0.7642, scimark_benchmark: 1868.0738, usercpu_time_millis: 5.349, usercpu_time_millis_testing: 0.46, usercpu_time_millis_training: 4.889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9839, kappa: 0.8403, kb_relative_information_score: 3080.6437, mean_absolute_error: 0.0238, 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: 0.2327, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1093, root_relative_squared_error: 0.4839, scimark_benchmark: 1877.2162, usercpu_time_millis: 48.417, usercpu_time_millis_testing: 2.029, usercpu_time_millis_training: 46.388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, f_measure: 0.9688, kappa: 0.6738, kb_relative_information_score: 1264.9632, mean_absolute_error: 0.0522, 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: 0.5109, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1528, root_relative_squared_error: 0.6763, scimark_benchmark: 1746.5708, usercpu_time_millis: 19.136, usercpu_time_millis_testing: 0.876, usercpu_time_millis_training: 18.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9819, kappa: 0.8216, kb_relative_information_score: 2683.4577, mean_absolute_error: 0.03, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9818, predictive_accuracy: 0.982, prior_entropy: 0.3037, recall: 0.982, relative_absolute_error: 0.293, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1195, root_relative_squared_error: 0.5289, scimark_benchmark: 1874.5188, usercpu_time_millis: 48.015, usercpu_time_millis_testing: 1.625, usercpu_time_millis_training: 46.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9798, kappa: 0.7911, kb_relative_information_score: 2747.8209, mean_absolute_error: 0.0341, 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: 0.334, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1161, root_relative_squared_error: 0.5141, scimark_benchmark: 1785.4401, usercpu_time_millis: 35.219, usercpu_time_millis_testing: 2.75, usercpu_time_millis_training: 32.469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9751, kappa: 0.7445, kb_relative_information_score: 2075.2988, mean_absolute_error: 0.0406, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9748, predictive_accuracy: 0.9762, prior_entropy: 0.3037, recall: 0.9762, relative_absolute_error: 0.3972, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.129, root_relative_squared_error: 0.5709, scimark_benchmark: 1792.9174, usercpu_time_millis: 21.073, usercpu_time_millis_testing: 1.339, usercpu_time_millis_training: 19.734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.976, kappa: 0.7462, kb_relative_information_score: 2444.7255, mean_absolute_error: 0.0384, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.977, predictive_accuracy: 0.9779, prior_entropy: 0.3037, recall: 0.9779, relative_absolute_error: 0.3752, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1243, root_relative_squared_error: 0.5502, scimark_benchmark: 1873.4078, usercpu_time_millis: 4.076, usercpu_time_millis_testing: 0.296, usercpu_time_millis_training: 3.78,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.9198, kb_relative_information_score: 3.4689, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9986, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1682.9374, usercpu_time_millis: 2.61, usercpu_time_millis_testing: 0.357, usercpu_time_millis_training: 2.253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9814, kappa: 0.8112, kb_relative_information_score: 2723.4271, mean_absolute_error: 0.0317, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9813, predictive_accuracy: 0.982, prior_entropy: 0.3037, recall: 0.982, relative_absolute_error: 0.3105, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1139, root_relative_squared_error: 0.5043, scimark_benchmark: 1874.8648, usercpu_time_millis: 14.209, usercpu_time_millis_testing: 0.721, usercpu_time_millis_training: 13.488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9831, kappa: 0.8313, kb_relative_information_score: 2497.857, mean_absolute_error: 0.0333, 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: 0.326, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1204, root_relative_squared_error: 0.533, scimark_benchmark: 1869.6309, usercpu_time_millis: 3.109, usercpu_time_millis_testing: 0.211, usercpu_time_millis_training: 2.898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9805, kappa: 0.8025, kb_relative_information_score: 2337.2265, mean_absolute_error: 0.0371, 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: 0.363, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1238, root_relative_squared_error: 0.5479, scimark_benchmark: 1751.1352, usercpu_time_millis: 29.003, usercpu_time_millis_testing: 1.562, usercpu_time_millis_training: 27.441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9819, kappa: 0.817, kb_relative_information_score: 2626.7931, mean_absolute_error: 0.033, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9817, predictive_accuracy: 0.9824, prior_entropy: 0.3037, recall: 0.9824, relative_absolute_error: 0.323, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1154, root_relative_squared_error: 0.5108, scimark_benchmark: 1875.5079, usercpu_time_millis: 23.737, usercpu_time_millis_testing: 1.08, usercpu_time_millis_training: 22.657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9772, kappa: 0.7594, kb_relative_information_score: 2480.8432, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9786, predictive_accuracy: 0.9791, prior_entropy: 0.3037, recall: 0.9791, relative_absolute_error: 0.3884, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1238, root_relative_squared_error: 0.548, scimark_benchmark: 1718.927, usercpu_time_millis: 14.854, usercpu_time_millis_testing: 1.489, usercpu_time_millis_training: 13.365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9757, f_measure: 0.9709, kappa: 0.6936, kb_relative_information_score: 1320.2516, mean_absolute_error: 0.0489, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9712, predictive_accuracy: 0.9731, prior_entropy: 0.3037, recall: 0.9731, relative_absolute_error: 0.4783, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.147, root_relative_squared_error: 0.6508, scimark_benchmark: 1873.8058, usercpu_time_millis: 22.039, usercpu_time_millis_testing: 1.32, usercpu_time_millis_training: 20.719,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9787, kappa: 0.7784, kb_relative_information_score: 2348.3601, mean_absolute_error: 0.0393, 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: 0.3848, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1225, root_relative_squared_error: 0.5424, scimark_benchmark: 1735.6743, usercpu_time_millis: 24.752, usercpu_time_millis_testing: 1.794, usercpu_time_millis_training: 22.958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, f_measure: 0.9198, kb_relative_information_score: 2.9883, 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: 4.536, usercpu_time_millis_testing: 0.883, usercpu_time_millis_training: 3.653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9702, kappa: 0.6825, kb_relative_information_score: 1920.6744, mean_absolute_error: 0.0463, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9712, predictive_accuracy: 0.9729, prior_entropy: 0.3037, recall: 0.9729, relative_absolute_error: 0.4528, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1336, root_relative_squared_error: 0.5916, scimark_benchmark: 1768.6939, usercpu_time_millis: 23.624, usercpu_time_millis_testing: 1.514, usercpu_time_millis_training: 22.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.9642, kappa: 0.6029, kb_relative_information_score: 1340.634, mean_absolute_error: 0.0577, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9683, predictive_accuracy: 0.9692, prior_entropy: 0.3037, recall: 0.9692, relative_absolute_error: 0.564, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1496, root_relative_squared_error: 0.6623, scimark_benchmark: 1731.2073, usercpu_time_millis: 31.415, usercpu_time_millis_testing: 3.584, usercpu_time_millis_training: 27.831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9662, kappa: 0.6277, kb_relative_information_score: 1710.4127, mean_absolute_error: 0.0525, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9699, predictive_accuracy: 0.9707, prior_entropy: 0.3037, recall: 0.9707, relative_absolute_error: 0.5136, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1415, root_relative_squared_error: 0.6263, scimark_benchmark: 1741.1835, usercpu_time_millis: 15.103, usercpu_time_millis_testing: 1.461, usercpu_time_millis_training: 13.642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9693, kappa: 0.6717, kb_relative_information_score: 1817.2717, mean_absolute_error: 0.0478, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9705, predictive_accuracy: 0.9723, prior_entropy: 0.3037, recall: 0.9723, relative_absolute_error: 0.4677, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1364, root_relative_squared_error: 0.6036, scimark_benchmark: 1786.6304, usercpu_time_millis: 12.174, usercpu_time_millis_testing: 0.848, usercpu_time_millis_training: 11.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.9696, kappa: 0.6862, kb_relative_information_score: 1709.3323, mean_absolute_error: 0.0447, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9692, predictive_accuracy: 0.9713, prior_entropy: 0.3037, recall: 0.9713, relative_absolute_error: 0.4372, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1399, root_relative_squared_error: 0.6193, scimark_benchmark: 1750.7876, usercpu_time_millis: 26.361, usercpu_time_millis_testing: 1.193, usercpu_time_millis_training: 25.168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9426, f_measure: 0.9198, kb_relative_information_score: -1656.9905, mean_absolute_error: 0.0909, 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: 0.889, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2043, root_relative_squared_error: 0.9045, scimark_benchmark: 1751.6412, usercpu_time_millis: 6.048, usercpu_time_millis_testing: 0.512, usercpu_time_millis_training: 5.536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9747, kappa: 0.7326, kb_relative_information_score: 2356.7103, mean_absolute_error: 0.0409, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9758, predictive_accuracy: 0.9769, prior_entropy: 0.3037, recall: 0.9769, relative_absolute_error: 0.4005, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1259, root_relative_squared_error: 0.5573, scimark_benchmark: 2039.4968, usercpu_time_millis: 30.251, usercpu_time_millis_testing: 2.369, usercpu_time_millis_training: 27.882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9506, f_measure: 0.9198, kb_relative_information_score: -557.0259, mean_absolute_error: 0.0856, 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: 0.8371, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.194, root_relative_squared_error: 0.8586, scimark_benchmark: 1789.7585, usercpu_time_millis: 10.516, usercpu_time_millis_testing: 1.036, usercpu_time_millis_training: 9.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.9668, kappa: 0.6483, kb_relative_information_score: 1103.508, mean_absolute_error: 0.0583, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.967, predictive_accuracy: 0.9696, prior_entropy: 0.3037, recall: 0.9696, relative_absolute_error: 0.5708, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1576, root_relative_squared_error: 0.6978, scimark_benchmark: 1873.4805, usercpu_time_millis: 4.46, usercpu_time_millis_testing: 0.171, usercpu_time_millis_training: 4.289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.963, kappa: 0.5927, kb_relative_information_score: 805.7476, mean_absolute_error: 0.0639, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.966, predictive_accuracy: 0.968, prior_entropy: 0.3037, recall: 0.968, relative_absolute_error: 0.6254, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1621, root_relative_squared_error: 0.7174, scimark_benchmark: 1752.1591, usercpu_time_millis: 5.496, usercpu_time_millis_testing: 0.453, usercpu_time_millis_training: 5.043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9781, kappa: 0.771, kb_relative_information_score: 2634.8752, mean_absolute_error: 0.0367, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9787, predictive_accuracy: 0.9795, prior_entropy: 0.3037, recall: 0.9795, relative_absolute_error: 0.3593, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1192, root_relative_squared_error: 0.5278, scimark_benchmark: 1767.8734, usercpu_time_millis: 22.878, usercpu_time_millis_testing: 1.993, usercpu_time_millis_training: 20.885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9833, kappa: 0.8318, kb_relative_information_score: 2997.8005, mean_absolute_error: 0.0277, 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: 0.2705, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1086, root_relative_squared_error: 0.4807, scimark_benchmark: 1738.1722, usercpu_time_millis: 31.102, usercpu_time_millis_testing: 1.835, usercpu_time_millis_training: 29.267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8562, f_measure: 0.9198, kb_relative_information_score: -1124.6531, mean_absolute_error: 0.0996, 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: 0.9739, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2206, root_relative_squared_error: 0.9766, scimark_benchmark: 1875.0498, usercpu_time_millis: 5.647, usercpu_time_millis_testing: 0.561, usercpu_time_millis_training: 5.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9689, kappa: 0.6603, kb_relative_information_score: 1961.9693, mean_absolute_error: 0.0494, 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: 0.4829, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1361, root_relative_squared_error: 0.6023, scimark_benchmark: 1878.2574, usercpu_time_millis: 12.573, usercpu_time_millis_testing: 0.945, usercpu_time_millis_training: 11.628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.9659, kappa: 0.6224, kb_relative_information_score: 1655.8208, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9704, predictive_accuracy: 0.9707, prior_entropy: 0.3037, recall: 0.9707, relative_absolute_error: 0.524, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1444, root_relative_squared_error: 0.6392, scimark_benchmark: 1742.3889, usercpu_time_millis: 1.415, usercpu_time_millis_testing: 0.108, usercpu_time_millis_training: 1.307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9721, kappa: 0.6981, kb_relative_information_score: 2083.3897, mean_absolute_error: 0.0461, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9749, predictive_accuracy: 0.9752, prior_entropy: 0.3037, recall: 0.9752, relative_absolute_error: 0.4507, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1319, root_relative_squared_error: 0.5838, scimark_benchmark: 1736.9298, usercpu_time_millis: 3.261, usercpu_time_millis_testing: 0.217, usercpu_time_millis_training: 3.044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.983, kappa: 0.8281, kb_relative_information_score: 2941.3113, mean_absolute_error: 0.0287, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9829, predictive_accuracy: 0.9835, prior_entropy: 0.3037, recall: 0.9835, relative_absolute_error: 0.2812, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.11, root_relative_squared_error: 0.487, scimark_benchmark: 1874.8648, usercpu_time_millis: 19.956, usercpu_time_millis_testing: 1.18, usercpu_time_millis_training: 18.776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.9624, kappa: 0.5785, kb_relative_information_score: 1189.2453, mean_absolute_error: 0.0608, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9678, predictive_accuracy: 0.9682, prior_entropy: 0.3037, recall: 0.9682, relative_absolute_error: 0.5944, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1539, root_relative_squared_error: 0.6814, scimark_benchmark: 2060.1274, usercpu_time_millis: 3.811, usercpu_time_millis_testing: 0.26, usercpu_time_millis_training: 3.551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9704, kappa: 0.6783, kb_relative_information_score: 2173.3638, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9731, predictive_accuracy: 0.9738, prior_entropy: 0.3037, recall: 0.9738, relative_absolute_error: 0.4564, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1333, root_relative_squared_error: 0.5901, scimark_benchmark: 1754.3505, usercpu_time_millis: 31.851, usercpu_time_millis_testing: 2.997, usercpu_time_millis_training: 28.854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9706, kappa: 0.6906, kb_relative_information_score: 1923.2691, mean_absolute_error: 0.0459, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.971, predictive_accuracy: 0.9729, prior_entropy: 0.3037, recall: 0.9729, relative_absolute_error: 0.4491, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1346, root_relative_squared_error: 0.5959, scimark_benchmark: 1711.497, usercpu_time_millis: 23.498, usercpu_time_millis_testing: 1.689, usercpu_time_millis_training: 21.809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9838, kappa: 0.8385, kb_relative_information_score: 2728.1519, mean_absolute_error: 0.0295, 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: 0.2882, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1144, root_relative_squared_error: 0.5063, scimark_benchmark: 1756.8807, usercpu_time_millis: 39.731, usercpu_time_millis_testing: 1.552, usercpu_time_millis_training: 38.179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.9198, kb_relative_information_score: -7.3653, 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: 0.9985, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1757.4542, usercpu_time_millis: 2.626, usercpu_time_millis_testing: 0.372, usercpu_time_millis_training: 2.254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9692, kappa: 0.6714, kb_relative_information_score: 1685.5853, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9702, predictive_accuracy: 0.9721, prior_entropy: 0.3037, recall: 0.9721, relative_absolute_error: 0.4907, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1403, root_relative_squared_error: 0.621, scimark_benchmark: 1782.6762, usercpu_time_millis: 10.084, usercpu_time_millis_testing: 0.632, usercpu_time_millis_training: 9.452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9805, kappa: 0.8005, kb_relative_information_score: 2805.1339, mean_absolute_error: 0.0317, 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: 0.3099, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1131, root_relative_squared_error: 0.5006, scimark_benchmark: 1763.6282, usercpu_time_millis: 19.032, usercpu_time_millis_testing: 1.37, usercpu_time_millis_training: 17.662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9779, kappa: 0.7701, kb_relative_information_score: 2213.0411, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9784, predictive_accuracy: 0.9793, prior_entropy: 0.3037, recall: 0.9793, relative_absolute_error: 0.3865, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1252, root_relative_squared_error: 0.5542, scimark_benchmark: 1751.5819, usercpu_time_millis: 13.045, usercpu_time_millis_testing: 0.814, usercpu_time_millis_training: 12.231,
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: 0.9907, f_measure: 0.9811, kappa: 0.8067, kb_relative_information_score: 2834.2825, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9813, predictive_accuracy: 0.982, prior_entropy: 0.3037, recall: 0.982, relative_absolute_error: 0.3159, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1142, root_relative_squared_error: 0.5055, scimark_benchmark: 1745.1948, usercpu_time_millis: 12.613, usercpu_time_millis_testing: 0.838, usercpu_time_millis_training: 11.775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.9198, kb_relative_information_score: -2.6671, 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: 1789.3083, usercpu_time_millis: 6.76, usercpu_time_millis_testing: 0.887, usercpu_time_millis_training: 5.873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4985, f_measure: 0.9198, kb_relative_information_score: -15.5856, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1872.9496, usercpu_time_millis: 1.258, usercpu_time_millis_testing: 0.142, usercpu_time_millis_training: 1.116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9686, f_measure: 0.9198, kb_relative_information_score: -17.1263, mean_absolute_error: 0.0778, 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: 0.7615, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1815, root_relative_squared_error: 0.8037, scimark_benchmark: 1872.9496, usercpu_time_millis: 16.69, usercpu_time_millis_testing: 1.708, usercpu_time_millis_training: 14.982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9834, kappa: 0.8337, kb_relative_information_score: 2966.053, mean_absolute_error: 0.0257, 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: 0.2513, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1097, root_relative_squared_error: 0.4854, scimark_benchmark: 1751.1918, usercpu_time_millis: 2.563, usercpu_time_millis_testing: 0.082, usercpu_time_millis_training: 2.481,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs