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: 0.9763, f_measure: 0.9518, kappa: 0.4419, kb_relative_information_score: 575.6388, mean_absolute_error: 0.0697, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9616, predictive_accuracy: 0.9616, prior_entropy: 0.3037, recall: 0.9616, relative_absolute_error: 0.6819, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1686, root_relative_squared_error: 0.7462, scimark_benchmark: 1708.5025, usercpu_time_millis: 20.176, usercpu_time_millis_testing: 2.527, usercpu_time_millis_training: 17.649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9824, kappa: 0.8217, kb_relative_information_score: 2538.3495, mean_absolute_error: 0.0344, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9824, predictive_accuracy: 0.9831, prior_entropy: 0.3037, recall: 0.9831, relative_absolute_error: 0.3361, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1175, root_relative_squared_error: 0.5201, scimark_benchmark: 1754.2741, usercpu_time_millis: 16.142, usercpu_time_millis_testing: 0.698, usercpu_time_millis_training: 15.444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9817, kappa: 0.8141, kb_relative_information_score: 2645.7591, mean_absolute_error: 0.0331, 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: 0.3238, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.115, root_relative_squared_error: 0.5093, scimark_benchmark: 1755.2707, usercpu_time_millis: 28.008, usercpu_time_millis_testing: 1.624, usercpu_time_millis_training: 26.384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9501, f_measure: 0.9198, kb_relative_information_score: -341.6568, mean_absolute_error: 0.0826, 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: 0.8082, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1889, root_relative_squared_error: 0.8362, scimark_benchmark: 1876.7581, usercpu_time_millis: 7.75, usercpu_time_millis_testing: 0.72, usercpu_time_millis_training: 7.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9472, kappa: 0.3793, kb_relative_information_score: 700.4237, mean_absolute_error: 0.0693, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9601, predictive_accuracy: 0.9591, prior_entropy: 0.3037, recall: 0.9591, relative_absolute_error: 0.6783, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1679, root_relative_squared_error: 0.7433, scimark_benchmark: 1745.3086, usercpu_time_millis: 3.254, usercpu_time_millis_testing: 0.351, usercpu_time_millis_training: 2.903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9049, f_measure: 0.9198, kb_relative_information_score: -1472.745, mean_absolute_error: 0.0985, 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: 0.9639, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2188, root_relative_squared_error: 0.9686, scimark_benchmark: 1755.2194, usercpu_time_millis: 9.378, usercpu_time_millis_testing: 0.96, usercpu_time_millis_training: 8.418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.976, kappa: 0.7497, kb_relative_information_score: 2330.0169, mean_absolute_error: 0.0389, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9765, predictive_accuracy: 0.9777, prior_entropy: 0.3037, recall: 0.9777, relative_absolute_error: 0.3806, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1234, root_relative_squared_error: 0.5461, scimark_benchmark: 1719.8434, usercpu_time_millis: 19.881, usercpu_time_millis_testing: 1.677, usercpu_time_millis_training: 18.204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9677, kappa: 0.6466, kb_relative_information_score: 1831.0805, mean_absolute_error: 0.0497, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9708, predictive_accuracy: 0.9717, prior_entropy: 0.3037, recall: 0.9717, relative_absolute_error: 0.4865, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1374, root_relative_squared_error: 0.6081, scimark_benchmark: 1732.0564, usercpu_time_millis: 7.048, usercpu_time_millis_testing: 0.595, usercpu_time_millis_training: 6.453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9846, kappa: 0.8452, kb_relative_information_score: 2946.7815, mean_absolute_error: 0.0275, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9844, predictive_accuracy: 0.9849, prior_entropy: 0.3037, recall: 0.9849, relative_absolute_error: 0.269, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1091, root_relative_squared_error: 0.4829, scimark_benchmark: 1796.0922, usercpu_time_millis: 26.08, usercpu_time_millis_testing: 1.544, usercpu_time_millis_training: 24.536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9835, kappa: 0.8343, kb_relative_information_score: 3042.7092, mean_absolute_error: 0.0265, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9833, predictive_accuracy: 0.9839, prior_entropy: 0.3037, recall: 0.9839, relative_absolute_error: 0.2588, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1091, root_relative_squared_error: 0.4829, scimark_benchmark: 1735.3254, usercpu_time_millis: 15.059, usercpu_time_millis_testing: 0.776, usercpu_time_millis_training: 14.283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.9823, kappa: 0.8277, kb_relative_information_score: 2929.2173, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9824, predictive_accuracy: 0.9822, prior_entropy: 0.3037, recall: 0.9822, relative_absolute_error: 0.2482, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1154, root_relative_squared_error: 0.5109, scimark_benchmark: 1703.71, usercpu_time_millis: 28.222, usercpu_time_millis_testing: 1.058, usercpu_time_millis_training: 27.164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9829, kappa: 0.8274, kb_relative_information_score: 2922.8839, mean_absolute_error: 0.0293, 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: 0.2867, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1107, root_relative_squared_error: 0.4901, scimark_benchmark: 1753.352, usercpu_time_millis: 10.838, usercpu_time_millis_testing: 0.646, usercpu_time_millis_training: 10.192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, f_measure: 0.9693, kappa: 0.6764, kb_relative_information_score: 1186.8037, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9695, predictive_accuracy: 0.9717, prior_entropy: 0.3037, recall: 0.9717, relative_absolute_error: 0.5377, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1545, root_relative_squared_error: 0.6839, scimark_benchmark: 1792.545, usercpu_time_millis: 24.543, usercpu_time_millis_testing: 1.354, usercpu_time_millis_training: 23.189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, f_measure: 0.9198, kb_relative_information_score: 4.9182, 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: 1873.4078, usercpu_time_millis: 2.798, usercpu_time_millis_testing: 0.428, usercpu_time_millis_training: 2.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, f_measure: 0.9694, kappa: 0.6791, kb_relative_information_score: 1247.342, mean_absolute_error: 0.053, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9695, predictive_accuracy: 0.9717, prior_entropy: 0.3037, recall: 0.9717, relative_absolute_error: 0.5183, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1531, root_relative_squared_error: 0.6777, scimark_benchmark: 1737.8873, usercpu_time_millis: 5.193, usercpu_time_millis_testing: 0.234, usercpu_time_millis_training: 4.959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.979, kappa: 0.7811, kb_relative_information_score: 2488.6859, mean_absolute_error: 0.0375, 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: 0.3671, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1199, root_relative_squared_error: 0.5306, scimark_benchmark: 1855.5024, usercpu_time_millis: 31.877, usercpu_time_millis_testing: 1.928, usercpu_time_millis_training: 29.949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9832, kappa: 0.8326, kb_relative_information_score: 3015.817, 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: 0.48, scimark_benchmark: 1762.7013, usercpu_time_millis: 20.763, usercpu_time_millis_testing: 1.022, usercpu_time_millis_training: 19.741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9691, kappa: 0.6826, kb_relative_information_score: 1955.2434, mean_absolute_error: 0.0442, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9686, predictive_accuracy: 0.9707, prior_entropy: 0.3037, recall: 0.9707, relative_absolute_error: 0.4328, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.14, root_relative_squared_error: 0.6199, scimark_benchmark: 1872.4216, usercpu_time_millis: 5.438, usercpu_time_millis_testing: 0.182, usercpu_time_millis_training: 5.256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9593, f_measure: 0.9198, kb_relative_information_score: -862.0648, mean_absolute_error: 0.0848, 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: 0.8296, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1937, root_relative_squared_error: 0.8576, scimark_benchmark: 1876.7581, usercpu_time_millis: 2.365, usercpu_time_millis_testing: 0.216, usercpu_time_millis_training: 2.149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.97, kappa: 0.6808, kb_relative_information_score: 1688.6957, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9709, predictive_accuracy: 0.9727, prior_entropy: 0.3037, recall: 0.9727, relative_absolute_error: 0.4775, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1399, root_relative_squared_error: 0.6191, scimark_benchmark: 1798.2114, usercpu_time_millis: 8.936, usercpu_time_millis_testing: 0.631, usercpu_time_millis_training: 8.305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.974, kappa: 0.7266, kb_relative_information_score: 2124.6394, mean_absolute_error: 0.0403, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9747, predictive_accuracy: 0.976, prior_entropy: 0.3037, recall: 0.976, relative_absolute_error: 0.3947, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1275, root_relative_squared_error: 0.5644, scimark_benchmark: 1794.1114, usercpu_time_millis: 16.6, usercpu_time_millis_testing: 1.244, usercpu_time_millis_training: 15.356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.9198, kb_relative_information_score: -22.4117, mean_absolute_error: 0.1022, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1758.6026, usercpu_time_millis: 1.127, usercpu_time_millis_testing: 0.107, usercpu_time_millis_training: 1.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9838, kappa: 0.8391, kb_relative_information_score: 3114.8259, mean_absolute_error: 0.0246, 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: 0.2409, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1074, root_relative_squared_error: 0.4756, scimark_benchmark: 1754.4555, usercpu_time_millis: 23.334, usercpu_time_millis_testing: 0.965, usercpu_time_millis_training: 22.369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9817, kappa: 0.8183, kb_relative_information_score: 2366.8013, mean_absolute_error: 0.0353, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9816, predictive_accuracy: 0.982, prior_entropy: 0.3037, recall: 0.982, relative_absolute_error: 0.3457, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1235, root_relative_squared_error: 0.5468, scimark_benchmark: 1982.4562, usercpu_time_millis: 14.957, usercpu_time_millis_testing: 0.612, usercpu_time_millis_training: 14.345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9795, kappa: 0.7921, kb_relative_information_score: 2266.961, mean_absolute_error: 0.038, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9793, predictive_accuracy: 0.9802, prior_entropy: 0.3037, recall: 0.9802, relative_absolute_error: 0.3722, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1254, root_relative_squared_error: 0.5553, scimark_benchmark: 1727.4934, usercpu_time_millis: 39.198, usercpu_time_millis_testing: 2.147, usercpu_time_millis_training: 37.051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9454, f_measure: 0.9198, kb_relative_information_score: -1300.7428, mean_absolute_error: 0.0939, 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: 0.919, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2099, root_relative_squared_error: 0.9293, scimark_benchmark: 1756.1372, usercpu_time_millis: 4.875, usercpu_time_millis_testing: 0.49, usercpu_time_millis_training: 4.385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9778, kappa: 0.7652, kb_relative_information_score: 2523.9893, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.979, predictive_accuracy: 0.9795, prior_entropy: 0.3037, recall: 0.9795, relative_absolute_error: 0.3798, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1225, root_relative_squared_error: 0.5424, scimark_benchmark: 1795.184, usercpu_time_millis: 14.416, usercpu_time_millis_testing: 1.182, usercpu_time_millis_training: 13.234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9727, kappa: 0.7155, kb_relative_information_score: 1925.6405, mean_absolute_error: 0.0447, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9729, predictive_accuracy: 0.9746, prior_entropy: 0.3037, recall: 0.9746, relative_absolute_error: 0.4374, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1342, root_relative_squared_error: 0.5941, scimark_benchmark: 1658.5283, usercpu_time_millis: 19.728, usercpu_time_millis_testing: 1.586, usercpu_time_millis_training: 18.142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.9733, kappa: 0.7267, kb_relative_information_score: 1997.2624, mean_absolute_error: 0.0418, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.973, predictive_accuracy: 0.9746, prior_entropy: 0.3037, recall: 0.9746, relative_absolute_error: 0.4091, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1332, root_relative_squared_error: 0.5895, scimark_benchmark: 1672.9803, usercpu_time_millis: 21.775, usercpu_time_millis_testing: 1.206, usercpu_time_millis_training: 20.569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9286, f_measure: 0.9198, kb_relative_information_score: -1493.9766, mean_absolute_error: 0.09, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.8804, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2024, root_relative_squared_error: 0.8959, scimark_benchmark: 1724.8935, usercpu_time_millis: 12.347, usercpu_time_millis_testing: 1.014, usercpu_time_millis_training: 11.333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9727, kappa: 0.7178, kb_relative_information_score: 1982.2506, mean_absolute_error: 0.0431, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9724, predictive_accuracy: 0.9742, prior_entropy: 0.3037, recall: 0.9742, relative_absolute_error: 0.4216, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1339, root_relative_squared_error: 0.5927, scimark_benchmark: 1765.7454, usercpu_time_millis: 26.012, usercpu_time_millis_testing: 1.481, usercpu_time_millis_training: 24.531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9626, f_measure: 0.929, kappa: 0.1293, kb_relative_information_score: 121.5544, mean_absolute_error: 0.0767, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9525, predictive_accuracy: 0.95, prior_entropy: 0.3037, recall: 0.95, relative_absolute_error: 0.7504, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1796, root_relative_squared_error: 0.795, scimark_benchmark: 2001.7364, usercpu_time_millis: 4.278, usercpu_time_millis_testing: 0.312, usercpu_time_millis_training: 3.966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.9668, kappa: 0.6425, kb_relative_information_score: 1029.6673, mean_absolute_error: 0.0605, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.968, predictive_accuracy: 0.9702, prior_entropy: 0.3037, recall: 0.9702, relative_absolute_error: 0.5917, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1588, root_relative_squared_error: 0.7028, scimark_benchmark: 1649.0143, usercpu_time_millis: 23.503, usercpu_time_millis_testing: 1.692, usercpu_time_millis_training: 21.811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, f_measure: 0.9198, kb_relative_information_score: -19.7872, 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: 1753.2814, usercpu_time_millis: 4.287, usercpu_time_millis_testing: 0.503, usercpu_time_millis_training: 3.784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9381, f_measure: 0.9682, kappa: 0.6724, kb_relative_information_score: 765.2418, mean_absolute_error: 0.0521, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9676, predictive_accuracy: 0.9698, prior_entropy: 0.3037, recall: 0.9698, relative_absolute_error: 0.5098, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1626, root_relative_squared_error: 0.7197, scimark_benchmark: 1752.9121, usercpu_time_millis: 25.979, usercpu_time_millis_testing: 0.803, usercpu_time_millis_training: 25.176,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9561, f_measure: 0.9198, kb_relative_information_score: -659.5483, mean_absolute_error: 0.0861, 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: 0.8425, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1953, root_relative_squared_error: 0.8645, scimark_benchmark: 1728.048, usercpu_time_millis: 13.044, usercpu_time_millis_testing: 1.571, usercpu_time_millis_training: 11.473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9672, kappa: 0.643, kb_relative_information_score: 1735.2406, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9696, predictive_accuracy: 0.9711, prior_entropy: 0.3037, recall: 0.9711, relative_absolute_error: 0.489, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1381, root_relative_squared_error: 0.6113, scimark_benchmark: 1750.7794, usercpu_time_millis: 18.011, usercpu_time_millis_testing: 1.413, usercpu_time_millis_training: 16.598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9697, kappa: 0.6763, kb_relative_information_score: 1649.85, mean_absolute_error: 0.0506, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9707, predictive_accuracy: 0.9725, prior_entropy: 0.3037, recall: 0.9725, relative_absolute_error: 0.4948, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1406, root_relative_squared_error: 0.6223, scimark_benchmark: 1736.9296, usercpu_time_millis: 15.156, usercpu_time_millis_testing: 1.24, usercpu_time_millis_training: 13.916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9154, f_measure: 0.9198, kb_relative_information_score: -1452.6241, mean_absolute_error: 0.0985, 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: 0.9637, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2189, root_relative_squared_error: 0.969, scimark_benchmark: 1786.8159, usercpu_time_millis: 1.954, usercpu_time_millis_testing: 0.212, usercpu_time_millis_training: 1.742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9677, kappa: 0.6451, kb_relative_information_score: 1850.568, mean_absolute_error: 0.0516, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9715, predictive_accuracy: 0.9719, prior_entropy: 0.3037, recall: 0.9719, relative_absolute_error: 0.5043, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1397, root_relative_squared_error: 0.6186, scimark_benchmark: 1708.0466, usercpu_time_millis: 10.424, usercpu_time_millis_testing: 1.006, usercpu_time_millis_training: 9.418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.9198, kb_relative_information_score: 1.8447, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1981.8683, usercpu_time_millis: 5.904, usercpu_time_millis_testing: 0.813, usercpu_time_millis_training: 5.091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9835, kappa: 0.8355, kb_relative_information_score: 2798.6867, mean_absolute_error: 0.0293, 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: 0.2864, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1133, root_relative_squared_error: 0.5017, scimark_benchmark: 1869.6309, usercpu_time_millis: 19.255, usercpu_time_millis_testing: 0.72, usercpu_time_millis_training: 18.535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9826, kappa: 0.8258, kb_relative_information_score: 2687.1248, mean_absolute_error: 0.0314, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9825, predictive_accuracy: 0.9831, prior_entropy: 0.3037, recall: 0.9831, relative_absolute_error: 0.3071, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1145, root_relative_squared_error: 0.5068, scimark_benchmark: 1713.9952, usercpu_time_millis: 26.196, usercpu_time_millis_testing: 1.309, usercpu_time_millis_training: 24.887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.9562, kappa: 0.4983, kb_relative_information_score: 973.5335, mean_absolute_error: 0.0641, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9644, predictive_accuracy: 0.9642, prior_entropy: 0.3037, recall: 0.9642, relative_absolute_error: 0.6273, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1597, root_relative_squared_error: 0.7072, scimark_benchmark: 1736.1249, usercpu_time_millis: 1.078, usercpu_time_millis_testing: 0.093, usercpu_time_millis_training: 0.985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9683, f_measure: 0.9688, kappa: 0.6752, kb_relative_information_score: 1121.3726, mean_absolute_error: 0.0514, 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: 0.5031, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.154, root_relative_squared_error: 0.6818, scimark_benchmark: 1764.0929, usercpu_time_millis: 18.163, usercpu_time_millis_testing: 0.708, usercpu_time_millis_training: 17.455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.9684, kappa: 0.674, kb_relative_information_score: 1173.6394, mean_absolute_error: 0.0535, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9678, predictive_accuracy: 0.97, prior_entropy: 0.3037, recall: 0.97, relative_absolute_error: 0.5229, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1551, root_relative_squared_error: 0.6866, scimark_benchmark: 1916.362, usercpu_time_millis: 29.623, usercpu_time_millis_testing: 1.359, usercpu_time_millis_training: 28.264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9804, kappa: 0.7989, kb_relative_information_score: 2670.1097, mean_absolute_error: 0.0332, 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: 0.3245, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1162, root_relative_squared_error: 0.5143, scimark_benchmark: 1752.841, usercpu_time_millis: 1.14, usercpu_time_millis_testing: 0.067, usercpu_time_millis_training: 1.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9574, f_measure: 0.9198, kb_relative_information_score: -896.8205, mean_absolute_error: 0.0862, 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: 0.8428, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1958, root_relative_squared_error: 0.8666, scimark_benchmark: 1673.0019, usercpu_time_millis: 11.934, usercpu_time_millis_testing: 1.516, usercpu_time_millis_training: 10.418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8586, f_measure: 0.9198, kb_relative_information_score: -1193.3341, 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: 0.973, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2205, root_relative_squared_error: 0.9762, scimark_benchmark: 1738.6251, usercpu_time_millis: 0.754, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 0.692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.922, f_measure: 0.9198, kb_relative_information_score: -1495.5506, mean_absolute_error: 0.098, 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: 0.9587, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2179, root_relative_squared_error: 0.9646, scimark_benchmark: 1726.9265, usercpu_time_millis: 5.051, usercpu_time_millis_testing: 0.565, usercpu_time_millis_training: 4.486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9655, f_measure: 0.9313, kappa: 0.1608, kb_relative_information_score: 68.2969, mean_absolute_error: 0.075, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9534, predictive_accuracy: 0.951, prior_entropy: 0.3037, recall: 0.951, relative_absolute_error: 0.7337, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.177, root_relative_squared_error: 0.7836, scimark_benchmark: 1749.9235, usercpu_time_millis: 15.65, usercpu_time_millis_testing: 1.504, usercpu_time_millis_training: 14.146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9673, kappa: 0.64, kb_relative_information_score: 1961.0174, mean_absolute_error: 0.0508, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9714, predictive_accuracy: 0.9717, prior_entropy: 0.3037, recall: 0.9717, relative_absolute_error: 0.4971, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1403, root_relative_squared_error: 0.621, scimark_benchmark: 1735.633, usercpu_time_millis: 25.074, usercpu_time_millis_testing: 2.773, usercpu_time_millis_training: 22.301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9669, kappa: 0.6347, kb_relative_information_score: 1698.4878, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9708, predictive_accuracy: 0.9713, prior_entropy: 0.3037, recall: 0.9713, relative_absolute_error: 0.5173, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1414, root_relative_squared_error: 0.6257, scimark_benchmark: 1763.6789, usercpu_time_millis: 13.603, usercpu_time_millis_testing: 1.032, usercpu_time_millis_training: 12.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.9667, kappa: 0.641, kb_relative_information_score: 1117.9009, mean_absolute_error: 0.0566, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9681, predictive_accuracy: 0.9702, prior_entropy: 0.3037, recall: 0.9702, relative_absolute_error: 0.5536, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1553, root_relative_squared_error: 0.6874, scimark_benchmark: 1714.0971, usercpu_time_millis: 1.686, usercpu_time_millis_testing: 0.113, usercpu_time_millis_training: 1.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.9698, kappa: 0.687, kb_relative_information_score: 1617.9824, mean_absolute_error: 0.0453, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9695, predictive_accuracy: 0.9717, prior_entropy: 0.3037, recall: 0.9717, relative_absolute_error: 0.4431, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1405, root_relative_squared_error: 0.6221, scimark_benchmark: 1722.9993, usercpu_time_millis: 25.99, usercpu_time_millis_testing: 1.205, usercpu_time_millis_training: 24.785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, f_measure: 0.9198, kb_relative_information_score: 3.2925, 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: 1758.2466, usercpu_time_millis: 5.005, usercpu_time_millis_testing: 1.086, usercpu_time_millis_training: 3.919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.9198, kb_relative_information_score: 1.1807, 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: 0.999, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1756.9179, usercpu_time_millis: 5.456, usercpu_time_millis_testing: 0.735, usercpu_time_millis_training: 4.721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9815, kappa: 0.8116, kb_relative_information_score: 2767.1821, mean_absolute_error: 0.0304, 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: 0.2975, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1132, root_relative_squared_error: 0.5012, scimark_benchmark: 1794.418, usercpu_time_millis: 26.469, usercpu_time_millis_testing: 1.888, usercpu_time_millis_training: 24.581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9724, kappa: 0.7034, kb_relative_information_score: 2287.8745, mean_absolute_error: 0.0441, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9744, predictive_accuracy: 0.9752, prior_entropy: 0.3037, recall: 0.9752, relative_absolute_error: 0.4314, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1299, root_relative_squared_error: 0.5748, scimark_benchmark: 1757.1582, usercpu_time_millis: 14.754, usercpu_time_millis_testing: 1.213, usercpu_time_millis_training: 13.541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, f_measure: 0.9198, kb_relative_information_score: 0.6669, mean_absolute_error: 0.1022, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1790.2114, usercpu_time_millis: 2.653, usercpu_time_millis_testing: 0.436, usercpu_time_millis_training: 2.217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9779, kappa: 0.7756, kb_relative_information_score: 2162.094, mean_absolute_error: 0.0392, 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: 0.3831, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1268, root_relative_squared_error: 0.5612, scimark_benchmark: 1709.7941, usercpu_time_millis: 9.665, usercpu_time_millis_testing: 0.527, usercpu_time_millis_training: 9.138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9814, kappa: 0.8093, kb_relative_information_score: 2621.3275, mean_absolute_error: 0.0326, 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: 0.319, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1178, root_relative_squared_error: 0.5213, scimark_benchmark: 1791.1778, usercpu_time_millis: 0.857, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 0.811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.9687, kappa: 0.6651, kb_relative_information_score: 1253.9613, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9697, predictive_accuracy: 0.9717, prior_entropy: 0.3037, recall: 0.9717, relative_absolute_error: 0.5319, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1515, root_relative_squared_error: 0.6706, scimark_benchmark: 1686.1024, usercpu_time_millis: 18.05, usercpu_time_millis_testing: 1.792, usercpu_time_millis_training: 16.258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.9698, kappa: 0.6847, kb_relative_information_score: 1267.556, mean_absolute_error: 0.0491, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9697, predictive_accuracy: 0.9719, prior_entropy: 0.3037, recall: 0.9719, relative_absolute_error: 0.4807, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1491, root_relative_squared_error: 0.6598, scimark_benchmark: 1786.2784, usercpu_time_millis: 26.749, usercpu_time_millis_testing: 1.294, usercpu_time_millis_training: 25.455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.9518, kappa: 0.4419, kb_relative_information_score: 593.6427, mean_absolute_error: 0.0693, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9616, predictive_accuracy: 0.9616, prior_entropy: 0.3037, recall: 0.9616, relative_absolute_error: 0.6775, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1676, root_relative_squared_error: 0.742, scimark_benchmark: 1871.6001, usercpu_time_millis: 12.139, usercpu_time_millis_testing: 1.143, usercpu_time_millis_training: 10.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.9559, kappa: 0.4977, kb_relative_information_score: 676.8187, mean_absolute_error: 0.0676, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.963, predictive_accuracy: 0.9638, prior_entropy: 0.3037, recall: 0.9638, relative_absolute_error: 0.6609, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1659, root_relative_squared_error: 0.7342, scimark_benchmark: 1706.3758, usercpu_time_millis: 3.194, usercpu_time_millis_testing: 0.405, usercpu_time_millis_training: 2.789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.9198, kb_relative_information_score: 3.298, 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: 1788.6727, usercpu_time_millis: 7.065, usercpu_time_millis_testing: 1.122, usercpu_time_millis_training: 5.943,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

OpenML bootcamp

From your own software

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

OpenML APIs