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: 0.9905, f_measure: 0.9842, kappa: 0.8415, kb_relative_information_score: 2963.9019, mean_absolute_error: 0.0273, 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: 0.2674, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1084, root_relative_squared_error: 0.4798, scimark_benchmark: 1868.1196, usercpu_time_millis: 20.862, usercpu_time_millis_testing: 1.201, usercpu_time_millis_training: 19.661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9795, kappa: 0.7875, kb_relative_information_score: 2654.8791, mean_absolute_error: 0.0345, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.98, predictive_accuracy: 0.9808, prior_entropy: 0.3037, recall: 0.9808, relative_absolute_error: 0.3375, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1169, root_relative_squared_error: 0.5176, scimark_benchmark: 1873.4805, usercpu_time_millis: 5.9, usercpu_time_millis_testing: 0.382, usercpu_time_millis_training: 5.518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.9711, kappa: 0.6953, kb_relative_information_score: 1459.1542, mean_absolute_error: 0.049, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9715, predictive_accuracy: 0.9733, prior_entropy: 0.3037, recall: 0.9733, relative_absolute_error: 0.4794, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1443, root_relative_squared_error: 0.6387, scimark_benchmark: 1825.0803, usercpu_time_millis: 14.127, usercpu_time_millis_testing: 0.865, usercpu_time_millis_training: 13.262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9653, kappa: 0.6172, kb_relative_information_score: 1532.8684, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9692, predictive_accuracy: 0.97, prior_entropy: 0.3037, recall: 0.97, relative_absolute_error: 0.5374, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1453, root_relative_squared_error: 0.6431, scimark_benchmark: 1870.6721, usercpu_time_millis: 9.725, usercpu_time_millis_testing: 0.731, usercpu_time_millis_training: 8.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9746, kappa: 0.732, kb_relative_information_score: 2385.1105, mean_absolute_error: 0.0401, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9755, predictive_accuracy: 0.9766, prior_entropy: 0.3037, recall: 0.9766, relative_absolute_error: 0.3922, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1257, root_relative_squared_error: 0.5563, scimark_benchmark: 1876.7581, usercpu_time_millis: 5.597, usercpu_time_millis_testing: 0.366, usercpu_time_millis_training: 5.231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9728, f_measure: 0.9603, kappa: 0.5544, kb_relative_information_score: 1002.4957, mean_absolute_error: 0.0631, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9654, predictive_accuracy: 0.9665, prior_entropy: 0.3037, recall: 0.9665, relative_absolute_error: 0.6171, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1621, root_relative_squared_error: 0.7175, scimark_benchmark: 1870.557, usercpu_time_millis: 4.163, usercpu_time_millis_testing: 0.331, usercpu_time_millis_training: 3.832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9842, kappa: 0.8438, kb_relative_information_score: 2999.8221, mean_absolute_error: 0.0249, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9841, predictive_accuracy: 0.9843, prior_entropy: 0.3037, recall: 0.9843, relative_absolute_error: 0.2439, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1096, root_relative_squared_error: 0.4852, scimark_benchmark: 1860.7227, usercpu_time_millis: 11.495, usercpu_time_millis_testing: 0.397, usercpu_time_millis_training: 11.098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9209, f_measure: 0.9198, kb_relative_information_score: -2550.6701, mean_absolute_error: 0.0888, 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: 0.869, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2012, root_relative_squared_error: 0.8907, scimark_benchmark: 1873.4805, usercpu_time_millis: 3.865, usercpu_time_millis_testing: 0.194, usercpu_time_millis_training: 3.671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, f_measure: 0.969, kappa: 0.6683, kb_relative_information_score: 1119.7391, mean_absolute_error: 0.0575, 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: 0.5622, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1552, root_relative_squared_error: 0.6872, scimark_benchmark: 1873.4078, usercpu_time_millis: 5.819, usercpu_time_millis_testing: 0.34, usercpu_time_millis_training: 5.479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9714, kappa: 0.6944, kb_relative_information_score: 1786.2282, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9729, predictive_accuracy: 0.9742, prior_entropy: 0.3037, recall: 0.9742, relative_absolute_error: 0.4557, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1378, root_relative_squared_error: 0.6101, scimark_benchmark: 1828.5795, usercpu_time_millis: 11.016, usercpu_time_millis_testing: 1.063, usercpu_time_millis_training: 9.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9809, kappa: 0.8049, kb_relative_information_score: 2783.8306, mean_absolute_error: 0.0332, 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: 0.3252, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1143, root_relative_squared_error: 0.5061, scimark_benchmark: 1858.4861, usercpu_time_millis: 7.368, usercpu_time_millis_testing: 0.356, usercpu_time_millis_training: 7.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5006, f_measure: 0.9198, kb_relative_information_score: -8.2279, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9989, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1859.5971, usercpu_time_millis: 7.566, usercpu_time_millis_testing: 0.966, usercpu_time_millis_training: 6.6,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, f_measure: 0.9198, kb_relative_information_score: 3.0428, 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: 1869.1727, usercpu_time_millis: 5.172, usercpu_time_millis_testing: 1.089, usercpu_time_millis_training: 4.083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, f_measure: 0.9198, kb_relative_information_score: -8.4973, 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: 0.9987, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1870.1619, usercpu_time_millis: 2.449, usercpu_time_millis_testing: 0.278, usercpu_time_millis_training: 2.171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, f_measure: 0.9641, kappa: 0.6051, kb_relative_information_score: 734.9671, mean_absolute_error: 0.0659, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9671, predictive_accuracy: 0.9688, prior_entropy: 0.3037, recall: 0.9688, relative_absolute_error: 0.6448, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1652, root_relative_squared_error: 0.7311, scimark_benchmark: 1868.6447, usercpu_time_millis: 6.389, usercpu_time_millis_testing: 0.34, usercpu_time_millis_training: 6.049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9646, f_measure: 0.9427, kappa: 0.3188, kb_relative_information_score: 262.2759, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9577, predictive_accuracy: 0.9566, prior_entropy: 0.3037, recall: 0.9566, relative_absolute_error: 0.7154, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1743, root_relative_squared_error: 0.7716, scimark_benchmark: 1877.2162, usercpu_time_millis: 18.68, usercpu_time_millis_testing: 1.421, usercpu_time_millis_training: 17.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.9622, kappa: 0.5792, kb_relative_information_score: 1224.7201, mean_absolute_error: 0.0597, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9666, predictive_accuracy: 0.9678, prior_entropy: 0.3037, recall: 0.9678, relative_absolute_error: 0.5838, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1523, root_relative_squared_error: 0.6744, scimark_benchmark: 1873.9908, usercpu_time_millis: 16.519, usercpu_time_millis_testing: 1.28, usercpu_time_millis_training: 15.239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.9198, kb_relative_information_score: 2.8003, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9989, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1868.7112, usercpu_time_millis: 6.01, usercpu_time_millis_testing: 0.984, usercpu_time_millis_training: 5.026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, f_measure: 0.9198, kb_relative_information_score: 5.202, mean_absolute_error: 0.102, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9979, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1854.773, usercpu_time_millis: 5.149, usercpu_time_millis_testing: 0.872, usercpu_time_millis_training: 4.277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, f_measure: 0.9198, kb_relative_information_score: -1184.9664, mean_absolute_error: 0.0934, 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: 0.9137, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2088, root_relative_squared_error: 0.9245, scimark_benchmark: 1861.1173, usercpu_time_millis: 5.665, usercpu_time_millis_testing: 0.611, usercpu_time_millis_training: 5.054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9482, f_measure: 0.9198, kb_relative_information_score: -1261.476, mean_absolute_error: 0.0931, 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: 0.9107, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2082, root_relative_squared_error: 0.9218, scimark_benchmark: 1758.2526, usercpu_time_millis: 13.5, usercpu_time_millis_testing: 1.614, usercpu_time_millis_training: 11.886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9104, f_measure: 0.9198, kb_relative_information_score: -1108.8291, 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: 0.9712, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2203, root_relative_squared_error: 0.9753, scimark_benchmark: 1876.7581, usercpu_time_millis: 5.92, usercpu_time_millis_testing: 0.7, usercpu_time_millis_training: 5.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9839, kappa: 0.8379, kb_relative_information_score: 3008.9639, mean_absolute_error: 0.0275, 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: 0.269, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1094, root_relative_squared_error: 0.4844, scimark_benchmark: 1874.0573, usercpu_time_millis: 4.149, usercpu_time_millis_testing: 0.159, usercpu_time_millis_training: 3.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, f_measure: 0.9198, kb_relative_information_score: -3.3016, 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: 1878.6732, usercpu_time_millis: 2.047, usercpu_time_millis_testing: 0.285, usercpu_time_millis_training: 1.762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, f_measure: 0.9198, kb_relative_information_score: 3.6013, 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: 1873.8757, usercpu_time_millis: 0.59, usercpu_time_millis_testing: 0.082, usercpu_time_millis_training: 0.508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.964, kappa: 0.5991, kb_relative_information_score: 1525.3825, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9687, predictive_accuracy: 0.9692, prior_entropy: 0.3037, recall: 0.9692, relative_absolute_error: 0.5492, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1467, root_relative_squared_error: 0.6493, scimark_benchmark: 1862.76, usercpu_time_millis: 9.584, usercpu_time_millis_testing: 0.831, usercpu_time_millis_training: 8.753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9798, kappa: 0.7911, kb_relative_information_score: 2673.6676, mean_absolute_error: 0.0345, 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: 0.338, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1164, root_relative_squared_error: 0.5155, scimark_benchmark: 1826.1793, usercpu_time_millis: 7.122, usercpu_time_millis_testing: 0.404, usercpu_time_millis_training: 6.718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9819, kappa: 0.817, kb_relative_information_score: 2829.2038, mean_absolute_error: 0.0289, 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: 0.283, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1117, root_relative_squared_error: 0.4944, scimark_benchmark: 1875.4086, usercpu_time_millis: 14.818, usercpu_time_millis_testing: 0.871, usercpu_time_millis_training: 13.947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.811, f_measure: 0.9198, kb_relative_information_score: -2479.9036, 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: 0.9718, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2209, root_relative_squared_error: 0.9777, scimark_benchmark: 1845.7422, usercpu_time_millis: 1.546, usercpu_time_millis_testing: 0.101, usercpu_time_millis_training: 1.445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9566, kappa: 0.5051, kb_relative_information_score: 999.3958, mean_absolute_error: 0.0644, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9643, predictive_accuracy: 0.9645, prior_entropy: 0.3037, recall: 0.9645, relative_absolute_error: 0.6297, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1592, root_relative_squared_error: 0.7047, scimark_benchmark: 1861.7123, usercpu_time_millis: 2.572, usercpu_time_millis_testing: 0.222, usercpu_time_millis_training: 2.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8927, f_measure: 0.9198, kb_relative_information_score: -938.6567, 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: 0.9755, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.221, root_relative_squared_error: 0.9784, scimark_benchmark: 1876.7581, usercpu_time_millis: 2.584, usercpu_time_millis_testing: 0.228, usercpu_time_millis_training: 2.356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9733, kappa: 0.7133, kb_relative_information_score: 2201.8402, mean_absolute_error: 0.0439, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9755, predictive_accuracy: 0.976, prior_entropy: 0.3037, recall: 0.976, relative_absolute_error: 0.429, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.13, root_relative_squared_error: 0.5754, scimark_benchmark: 1861.6424, usercpu_time_millis: 2.105, usercpu_time_millis_testing: 0.125, usercpu_time_millis_training: 1.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.958, f_measure: 0.9681, kappa: 0.6687, kb_relative_information_score: 996.5563, mean_absolute_error: 0.0575, 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: 0.5629, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1606, root_relative_squared_error: 0.7109, scimark_benchmark: 1878.2574, usercpu_time_millis: 14.261, usercpu_time_millis_testing: 0.791, usercpu_time_millis_training: 13.47,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9768, kappa: 0.7569, kb_relative_information_score: 2269.9458, mean_absolute_error: 0.0404, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9776, predictive_accuracy: 0.9785, prior_entropy: 0.3037, recall: 0.9785, relative_absolute_error: 0.395, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1253, root_relative_squared_error: 0.5549, scimark_benchmark: 1873.4805, usercpu_time_millis: 14.584, usercpu_time_millis_testing: 0.844, usercpu_time_millis_training: 13.74,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9791, f_measure: 0.969, kappa: 0.6744, kb_relative_information_score: 1216.567, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.969, predictive_accuracy: 0.9713, prior_entropy: 0.3037, recall: 0.9713, relative_absolute_error: 0.5342, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1525, root_relative_squared_error: 0.6753, scimark_benchmark: 1849.1812, usercpu_time_millis: 3.008, usercpu_time_millis_testing: 0.141, usercpu_time_millis_training: 2.867,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9588, f_measure: 0.9198, kb_relative_information_score: 28.9056, mean_absolute_error: 0.0768, 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: 0.7515, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1798, root_relative_squared_error: 0.7959, scimark_benchmark: 1874.977, usercpu_time_millis: 21.41, usercpu_time_millis_testing: 1.574, usercpu_time_millis_training: 19.836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9746, kappa: 0.7366, kb_relative_information_score: 2061.3628, mean_absolute_error: 0.041, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9745, predictive_accuracy: 0.976, prior_entropy: 0.3037, recall: 0.976, relative_absolute_error: 0.401, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.129, root_relative_squared_error: 0.5709, scimark_benchmark: 1877.2162, usercpu_time_millis: 20.753, usercpu_time_millis_testing: 1.385, usercpu_time_millis_training: 19.368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9817, kappa: 0.8134, kb_relative_information_score: 2918.3717, mean_absolute_error: 0.0303, 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: 0.2964, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1128, root_relative_squared_error: 0.4993, scimark_benchmark: 1918.1379, usercpu_time_millis: 41.738, usercpu_time_millis_testing: 2.87, usercpu_time_millis_training: 38.868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9838, kappa: 0.8391, kb_relative_information_score: 2975.4354, mean_absolute_error: 0.0269, 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: 0.2635, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1101, root_relative_squared_error: 0.4876, scimark_benchmark: 1844.0458, usercpu_time_millis: 47.916, usercpu_time_millis_testing: 2.209, usercpu_time_millis_training: 45.707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9798, kappa: 0.7911, kb_relative_information_score: 2383.5469, mean_absolute_error: 0.0374, 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: 0.3658, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1215, root_relative_squared_error: 0.5379, scimark_benchmark: 1811.1349, usercpu_time_millis: 17.296, usercpu_time_millis_testing: 1.216, usercpu_time_millis_training: 16.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9747, kappa: 0.7315, kb_relative_information_score: 2174.8217, mean_absolute_error: 0.0422, 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: 0.4129, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1272, root_relative_squared_error: 0.563, scimark_benchmark: 1872.8797, usercpu_time_millis: 16.581, usercpu_time_millis_testing: 1.101, usercpu_time_millis_training: 15.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9841, kappa: 0.8421, kb_relative_information_score: 3097.7215, 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: 0.2415, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1076, root_relative_squared_error: 0.4764, scimark_benchmark: 1823.238, usercpu_time_millis: 15.848, usercpu_time_millis_testing: 0.606, usercpu_time_millis_training: 15.242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.969, kappa: 0.6631, kb_relative_information_score: 1844.034, mean_absolute_error: 0.0486, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9714, predictive_accuracy: 0.9725, prior_entropy: 0.3037, recall: 0.9725, relative_absolute_error: 0.4754, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1359, root_relative_squared_error: 0.6016, scimark_benchmark: 1869.1029, usercpu_time_millis: 39.586, usercpu_time_millis_testing: 3.164, usercpu_time_millis_training: 36.422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9723, kappa: 0.7021, kb_relative_information_score: 2069.5882, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9745, predictive_accuracy: 0.9752, prior_entropy: 0.3037, recall: 0.9752, relative_absolute_error: 0.4452, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1315, root_relative_squared_error: 0.5822, scimark_benchmark: 1872.9496, usercpu_time_millis: 13.767, usercpu_time_millis_testing: 0.993, usercpu_time_millis_training: 12.774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9422, f_measure: 0.9198, kb_relative_information_score: -1169.8183, mean_absolute_error: 0.093, 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: 0.9096, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.9197, scimark_benchmark: 1854.0329, usercpu_time_millis: 13.689, usercpu_time_millis_testing: 1.498, usercpu_time_millis_training: 12.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9835, kappa: 0.8349, kb_relative_information_score: 3073.3563, mean_absolute_error: 0.0262, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9834, predictive_accuracy: 0.9839, prior_entropy: 0.3037, recall: 0.9839, relative_absolute_error: 0.2565, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.109, root_relative_squared_error: 0.4825, scimark_benchmark: 1867.725, usercpu_time_millis: 42.678, usercpu_time_millis_testing: 2.46, usercpu_time_millis_training: 40.218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9832, kappa: 0.8332, kb_relative_information_score: 2973.3715, mean_absolute_error: 0.0255, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9831, predictive_accuracy: 0.9835, prior_entropy: 0.3037, recall: 0.9835, relative_absolute_error: 0.2494, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.109, root_relative_squared_error: 0.4823, scimark_benchmark: 1881.0567, usercpu_time_millis: 10.581, usercpu_time_millis_testing: 0.535, usercpu_time_millis_training: 10.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6671, f_measure: 0.9198, kb_relative_information_score: -3969.9273, mean_absolute_error: 0.099, 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: 0.969, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2225, root_relative_squared_error: 0.9852, scimark_benchmark: 1877.2162, usercpu_time_millis: 10.319, usercpu_time_millis_testing: 0.87, usercpu_time_millis_training: 9.449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9163, f_measure: 0.9198, kb_relative_information_score: -1795.5819, mean_absolute_error: 0.0978, 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: 0.9569, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2175, root_relative_squared_error: 0.963, scimark_benchmark: 1822.71, usercpu_time_millis: 10.421, usercpu_time_millis_testing: 1.028, usercpu_time_millis_training: 9.393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9756, kappa: 0.7425, kb_relative_information_score: 2408.0878, mean_absolute_error: 0.0381, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9765, predictive_accuracy: 0.9775, prior_entropy: 0.3037, recall: 0.9775, relative_absolute_error: 0.373, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.124, root_relative_squared_error: 0.5488, scimark_benchmark: 1873.9387, usercpu_time_millis: 9.77, usercpu_time_millis_testing: 0.875, usercpu_time_millis_training: 8.895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, f_measure: 0.9198, kb_relative_information_score: -1.1157, 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: 1819.4071, usercpu_time_millis: 4.366, usercpu_time_millis_testing: 0.728, usercpu_time_millis_training: 3.638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.949, f_measure: 0.9198, kb_relative_information_score: -1007.8481, mean_absolute_error: 0.0894, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.8745, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2013, root_relative_squared_error: 0.8913, scimark_benchmark: 1852.7764, usercpu_time_millis: 7.002, usercpu_time_millis_testing: 0.607, usercpu_time_millis_training: 6.395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, f_measure: 0.9198, kb_relative_information_score: 3.1919, 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: 0.9987, 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: 3.154, usercpu_time_millis_testing: 0.805, usercpu_time_millis_training: 2.349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9839, kappa: 0.8403, kb_relative_information_score: 3083.0913, mean_absolute_error: 0.0239, 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: 0.2338, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1086, root_relative_squared_error: 0.4806, scimark_benchmark: 1872.4216, usercpu_time_millis: 55.708, usercpu_time_millis_testing: 2.356, usercpu_time_millis_training: 53.352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.9648, kappa: 0.612, kb_relative_information_score: 1107.0422, mean_absolute_error: 0.0605, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9681, predictive_accuracy: 0.9694, prior_entropy: 0.3037, recall: 0.9694, relative_absolute_error: 0.592, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1571, root_relative_squared_error: 0.6955, scimark_benchmark: 1825.0803, usercpu_time_millis: 3.492, usercpu_time_millis_testing: 0.28, usercpu_time_millis_training: 3.212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9116, f_measure: 0.9198, kb_relative_information_score: -1599.1902, mean_absolute_error: 0.0982, 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: 0.9602, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2185, root_relative_squared_error: 0.9672, scimark_benchmark: 1819.4071, usercpu_time_millis: 5.27, usercpu_time_millis_testing: 0.72, usercpu_time_millis_training: 4.55,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.842, f_measure: 0.9198, kb_relative_information_score: -1121.5868, 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: 0.9737, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2206, root_relative_squared_error: 0.9765, scimark_benchmark: 1878.6732, usercpu_time_millis: 5.37, usercpu_time_millis_testing: 0.528, usercpu_time_millis_training: 4.842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9794, kappa: 0.7927, kb_relative_information_score: 2277.0414, mean_absolute_error: 0.0362, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9792, predictive_accuracy: 0.98, prior_entropy: 0.3037, recall: 0.98, relative_absolute_error: 0.3543, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1229, root_relative_squared_error: 0.544, scimark_benchmark: 1858.0313, usercpu_time_millis: 31.544, usercpu_time_millis_testing: 1.638, usercpu_time_millis_training: 29.906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9802, kappa: 0.7997, kb_relative_information_score: 2338.1588, mean_absolute_error: 0.037, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.98, predictive_accuracy: 0.9808, prior_entropy: 0.3037, recall: 0.9808, relative_absolute_error: 0.3623, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.124, root_relative_squared_error: 0.549, scimark_benchmark: 1858.9715, usercpu_time_millis: 32.784, usercpu_time_millis_testing: 1.797, usercpu_time_millis_training: 30.987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9738, kappa: 0.7201, kb_relative_information_score: 2090.8579, mean_absolute_error: 0.0443, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9754, predictive_accuracy: 0.9762, prior_entropy: 0.3037, recall: 0.9762, relative_absolute_error: 0.4332, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1299, root_relative_squared_error: 0.5748, scimark_benchmark: 1877.2162, usercpu_time_millis: 29.449, usercpu_time_millis_testing: 2.13, usercpu_time_millis_training: 27.319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9834, kappa: 0.8343, kb_relative_information_score: 2885.9916, mean_absolute_error: 0.0279, 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: 0.2733, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1103, root_relative_squared_error: 0.4881, scimark_benchmark: 1858.4861, usercpu_time_millis: 43.574, usercpu_time_millis_testing: 2.026, usercpu_time_millis_training: 41.548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9836, kappa: 0.8361, kb_relative_information_score: 2990.7683, mean_absolute_error: 0.0256, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9834, predictive_accuracy: 0.9839, prior_entropy: 0.3037, recall: 0.9839, relative_absolute_error: 0.2502, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1081, root_relative_squared_error: 0.4786, scimark_benchmark: 1857.1406, usercpu_time_millis: 40.007, usercpu_time_millis_testing: 1.905, usercpu_time_millis_training: 38.102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.984, kappa: 0.8409, kb_relative_information_score: 2975.5965, mean_absolute_error: 0.0261, 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: 0.2554, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1082, root_relative_squared_error: 0.479, scimark_benchmark: 1863.6877, usercpu_time_millis: 29.247, usercpu_time_millis_testing: 1.566, usercpu_time_millis_training: 27.681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9753, kappa: 0.7385, kb_relative_information_score: 2191.8198, mean_absolute_error: 0.0421, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9763, predictive_accuracy: 0.9773, prior_entropy: 0.3037, recall: 0.9773, relative_absolute_error: 0.4123, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1272, root_relative_squared_error: 0.5629, scimark_benchmark: 1873.4078, usercpu_time_millis: 27.344, usercpu_time_millis_testing: 1.614, usercpu_time_millis_training: 25.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.983, kappa: 0.8314, kb_relative_information_score: 2753.2623, mean_absolute_error: 0.0292, 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: 0.2853, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1155, root_relative_squared_error: 0.5113, scimark_benchmark: 1841.0312, usercpu_time_millis: 46.927, usercpu_time_millis_testing: 2.085, usercpu_time_millis_training: 44.842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9818, kappa: 0.8145, kb_relative_information_score: 2615.9131, mean_absolute_error: 0.0343, 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: 0.3358, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1171, root_relative_squared_error: 0.5184, scimark_benchmark: 1826.6374, usercpu_time_millis: 29.536, usercpu_time_millis_testing: 1.661, usercpu_time_millis_training: 27.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9772, kappa: 0.7617, kb_relative_information_score: 2265.2513, mean_absolute_error: 0.0404, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9777, predictive_accuracy: 0.9787, prior_entropy: 0.3037, recall: 0.9787, relative_absolute_error: 0.395, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1258, root_relative_squared_error: 0.5568, scimark_benchmark: 1869.6309, usercpu_time_millis: 36.586, usercpu_time_millis_testing: 2.165, usercpu_time_millis_training: 34.421,

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