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: 0.967, f_measure: 0.9688, kappa: 0.6738, kb_relative_information_score: 1103.0645, mean_absolute_error: 0.0523, 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: 0.5115, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1548, root_relative_squared_error: 0.6851, scimark_benchmark: 1877.6841, usercpu_time_millis: 4.515, usercpu_time_millis_testing: 0.154, usercpu_time_millis_training: 4.361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9524, f_measure: 0.9198, kb_relative_information_score: -1081.4103, mean_absolute_error: 0.0907, 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: 0.8872, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2039, root_relative_squared_error: 0.9025, scimark_benchmark: 1877.2162, usercpu_time_millis: 4.16, usercpu_time_millis_testing: 0.392, usercpu_time_millis_training: 3.768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, f_measure: 0.9198, kb_relative_information_score: 6.0085, 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: 0.9975, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1865.4271, usercpu_time_millis: 5.057, usercpu_time_millis_testing: 0.847, usercpu_time_millis_training: 4.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, f_measure: 0.9198, kb_relative_information_score: 1.2797, 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: 1872.8797, usercpu_time_millis: 2.536, usercpu_time_millis_testing: 0.453, usercpu_time_millis_training: 2.083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, f_measure: 0.9198, kb_relative_information_score: 4.8891, 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: 1868.1832, usercpu_time_millis: 3.118, usercpu_time_millis_testing: 0.617, usercpu_time_millis_training: 2.501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9286, f_measure: 0.9198, kb_relative_information_score: -1384.6362, 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: 0.9571, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2174, root_relative_squared_error: 0.9624, scimark_benchmark: 1875.7685, usercpu_time_millis: 3.455, usercpu_time_millis_testing: 0.347, usercpu_time_millis_training: 3.108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9845, kappa: 0.8457, kb_relative_information_score: 3120.3102, mean_absolute_error: 0.0244, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9843, predictive_accuracy: 0.9847, prior_entropy: 0.3037, recall: 0.9847, relative_absolute_error: 0.2391, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1081, root_relative_squared_error: 0.4787, scimark_benchmark: 1777.3982, usercpu_time_millis: 17.002, usercpu_time_millis_testing: 0.616, usercpu_time_millis_training: 16.386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.9548, kappa: 0.4814, kb_relative_information_score: 717.6922, mean_absolute_error: 0.0671, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9635, predictive_accuracy: 0.9634, prior_entropy: 0.3037, recall: 0.9634, relative_absolute_error: 0.6563, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1658, root_relative_squared_error: 0.7342, scimark_benchmark: 1866.1679, usercpu_time_millis: 2.681, usercpu_time_millis_testing: 0.216, usercpu_time_millis_training: 2.465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9797, kappa: 0.8001, kb_relative_information_score: 2350.4371, mean_absolute_error: 0.0354, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9796, predictive_accuracy: 0.9797, prior_entropy: 0.3037, recall: 0.9797, relative_absolute_error: 0.3468, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1259, root_relative_squared_error: 0.5571, scimark_benchmark: 1873.4078, usercpu_time_millis: 23.378, usercpu_time_millis_testing: 0.913, usercpu_time_millis_training: 22.465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9771, kappa: 0.7668, kb_relative_information_score: 2161.1717, mean_absolute_error: 0.0391, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9769, predictive_accuracy: 0.9781, prior_entropy: 0.3037, recall: 0.9781, relative_absolute_error: 0.3825, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.126, root_relative_squared_error: 0.5577, scimark_benchmark: 1850.221, usercpu_time_millis: 2.84, usercpu_time_millis_testing: 0.125, usercpu_time_millis_training: 2.715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9093, f_measure: 0.9198, kb_relative_information_score: -3137.9396, mean_absolute_error: 0.0937, 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: 0.9163, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2106, root_relative_squared_error: 0.9323, scimark_benchmark: 1871.6001, usercpu_time_millis: 2.116, usercpu_time_millis_testing: 0.24, usercpu_time_millis_training: 1.876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9008, f_measure: 0.9198, kb_relative_information_score: -2693.1132, mean_absolute_error: 0.0919, 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: 0.8994, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2066, root_relative_squared_error: 0.9147, scimark_benchmark: 1861.1443, usercpu_time_millis: 2.491, usercpu_time_millis_testing: 0.149, usercpu_time_millis_training: 2.342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9721, kappa: 0.7072, kb_relative_information_score: 1813.2842, mean_absolute_error: 0.0464, 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: 0.4541, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1364, root_relative_squared_error: 0.6039, scimark_benchmark: 1872.4881, usercpu_time_millis: 10.409, usercpu_time_millis_testing: 0.642, usercpu_time_millis_training: 9.767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9752, kappa: 0.74, kb_relative_information_score: 2045.8741, mean_absolute_error: 0.0411, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9759, predictive_accuracy: 0.9771, prior_entropy: 0.3037, recall: 0.9771, relative_absolute_error: 0.4025, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1286, root_relative_squared_error: 0.5693, scimark_benchmark: 1874.5188, usercpu_time_millis: 0.505, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 0.475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9549, f_measure: 0.9198, kb_relative_information_score: -1145.9959, mean_absolute_error: 0.0849, 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: 0.8302, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1938, root_relative_squared_error: 0.8578, scimark_benchmark: 1827.587, usercpu_time_millis: 2.954, usercpu_time_millis_testing: 0.245, usercpu_time_millis_training: 2.709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9472, f_measure: 0.9198, kb_relative_information_score: -2054.8218, mean_absolute_error: 0.0868, 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: 0.849, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1979, root_relative_squared_error: 0.8762, scimark_benchmark: 1872.9496, usercpu_time_millis: 8.983, usercpu_time_millis_testing: 0.77, usercpu_time_millis_training: 8.213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.966, f_measure: 0.9691, kappa: 0.6747, kb_relative_information_score: 991.0255, mean_absolute_error: 0.0594, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9692, predictive_accuracy: 0.9715, prior_entropy: 0.3037, recall: 0.9715, relative_absolute_error: 0.5811, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1593, root_relative_squared_error: 0.7052, scimark_benchmark: 1869.7107, usercpu_time_millis: 8.697, usercpu_time_millis_testing: 0.445, usercpu_time_millis_training: 8.252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, f_measure: 0.9198, kb_relative_information_score: -365.1991, mean_absolute_error: 0.0814, 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: 0.7967, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1877, root_relative_squared_error: 0.8311, scimark_benchmark: 1829.4328, usercpu_time_millis: 2.85, usercpu_time_millis_testing: 0.278, usercpu_time_millis_training: 2.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9799, kappa: 0.795, kb_relative_information_score: 2724.6805, mean_absolute_error: 0.0322, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9799, predictive_accuracy: 0.9808, prior_entropy: 0.3037, recall: 0.9808, relative_absolute_error: 0.3152, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1145, root_relative_squared_error: 0.5071, scimark_benchmark: 1842.4482, usercpu_time_millis: 1.86, usercpu_time_millis_testing: 0.095, usercpu_time_millis_training: 1.765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, f_measure: 0.9198, kb_relative_information_score: 5.0942, 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: 1811.6414, usercpu_time_millis: 3.597, usercpu_time_millis_testing: 0.727, usercpu_time_millis_training: 2.87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5018, f_measure: 0.9198, kb_relative_information_score: -152.3157, mean_absolute_error: 0.1023, 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: 1.0007, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1875.5079, usercpu_time_millis: 0.55, usercpu_time_millis_testing: 0.055, usercpu_time_millis_training: 0.495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9629, f_measure: 0.9792, kappa: 0.7945, kb_relative_information_score: 3098.1557, mean_absolute_error: 0.0242, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9791, predictive_accuracy: 0.9793, prior_entropy: 0.3037, recall: 0.9793, relative_absolute_error: 0.237, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1318, root_relative_squared_error: 0.5836, scimark_benchmark: 1872.8797, usercpu_time_millis: 8.734, usercpu_time_millis_testing: 0.193, usercpu_time_millis_training: 8.541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9692, kappa: 0.6664, kb_relative_information_score: 1923.077, mean_absolute_error: 0.0477, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9717, predictive_accuracy: 0.9727, prior_entropy: 0.3037, recall: 0.9727, relative_absolute_error: 0.4671, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1346, root_relative_squared_error: 0.5959, scimark_benchmark: 1865.4271, usercpu_time_millis: 24.214, usercpu_time_millis_testing: 1.815, usercpu_time_millis_training: 22.399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.9198, kb_relative_information_score: -61.7114, 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: 1.0002, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1869.7037, usercpu_time_millis: 0.281, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9841, kappa: 0.8403, kb_relative_information_score: 3043.0854, mean_absolute_error: 0.0269, 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: 0.2635, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1083, root_relative_squared_error: 0.4793, scimark_benchmark: 1872.4216, usercpu_time_millis: 7.597, usercpu_time_millis_testing: 0.327, usercpu_time_millis_training: 7.27,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9823, kappa: 0.8206, kb_relative_information_score: 2881.8459, mean_absolute_error: 0.0281, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9822, predictive_accuracy: 0.9828, prior_entropy: 0.3037, recall: 0.9828, relative_absolute_error: 0.2745, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1104, root_relative_squared_error: 0.4886, scimark_benchmark: 1864.537, usercpu_time_millis: 19.139, usercpu_time_millis_testing: 1.126, usercpu_time_millis_training: 18.013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9726, kappa: 0.71, kb_relative_information_score: 1970.5741, mean_absolute_error: 0.044, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9733, predictive_accuracy: 0.9748, prior_entropy: 0.3037, recall: 0.9748, relative_absolute_error: 0.43, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1316, root_relative_squared_error: 0.5824, scimark_benchmark: 1872.8797, usercpu_time_millis: 5.336, usercpu_time_millis_testing: 0.364, usercpu_time_millis_training: 4.972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.972, kappa: 0.7098, kb_relative_information_score: 1945.7063, mean_absolute_error: 0.0447, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9719, predictive_accuracy: 0.9738, prior_entropy: 0.3037, recall: 0.9738, relative_absolute_error: 0.4369, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1346, root_relative_squared_error: 0.5957, scimark_benchmark: 1871.3226, usercpu_time_millis: 7.021, usercpu_time_millis_testing: 0.312, usercpu_time_millis_training: 6.709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.939, f_measure: 0.9198, kb_relative_information_score: -1461.688, mean_absolute_error: 0.0896, 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: 0.8761, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2017, root_relative_squared_error: 0.893, scimark_benchmark: 1861.3223, usercpu_time_millis: 17.393, usercpu_time_millis_testing: 1.439, usercpu_time_millis_training: 15.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9816, kappa: 0.8127, kb_relative_information_score: 2902.9803, mean_absolute_error: 0.0309, 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: 0.3023, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1132, root_relative_squared_error: 0.5013, scimark_benchmark: 1865.4087, usercpu_time_millis: 16.722, usercpu_time_millis_testing: 1.106, usercpu_time_millis_training: 15.616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9806, kappa: 0.8007, kb_relative_information_score: 2779.6155, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9808, predictive_accuracy: 0.9816, prior_entropy: 0.3037, recall: 0.9816, relative_absolute_error: 0.327, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.115, root_relative_squared_error: 0.5089, scimark_benchmark: 1877.2162, usercpu_time_millis: 18.504, usercpu_time_millis_testing: 1.183, usercpu_time_millis_training: 17.321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, f_measure: 0.9198, kb_relative_information_score: 5.2837, 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: 1869.6309, usercpu_time_millis: 3.411, usercpu_time_millis_testing: 0.688, usercpu_time_millis_training: 2.723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9649, kappa: 0.6175, kb_relative_information_score: 931.5406, mean_absolute_error: 0.0617, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9668, predictive_accuracy: 0.969, prior_entropy: 0.3037, recall: 0.969, relative_absolute_error: 0.6033, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1588, root_relative_squared_error: 0.7031, scimark_benchmark: 1872.4216, usercpu_time_millis: 3.58, usercpu_time_millis_testing: 0.184, usercpu_time_millis_training: 3.396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9815, kappa: 0.8116, kb_relative_information_score: 2800.8348, mean_absolute_error: 0.0312, 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: 0.3048, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1122, root_relative_squared_error: 0.4969, scimark_benchmark: 1872.4216, usercpu_time_millis: 5.236, usercpu_time_millis_testing: 0.247, usercpu_time_millis_training: 4.989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9839, kappa: 0.8403, kb_relative_information_score: 3087.2009, 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: 0.2335, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1089, root_relative_squared_error: 0.4819, scimark_benchmark: 1863.9413, usercpu_time_millis: 19.443, usercpu_time_millis_testing: 0.768, usercpu_time_millis_training: 18.675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.9198, kb_relative_information_score: 4.0168, 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: 0.9984, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1868.2531, usercpu_time_millis: 2.935, usercpu_time_millis_testing: 0.754, usercpu_time_millis_training: 2.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9598, f_measure: 0.9657, kappa: 0.6357, kb_relative_information_score: 998.135, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.966, predictive_accuracy: 0.9688, prior_entropy: 0.3037, recall: 0.9688, relative_absolute_error: 0.5793, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1605, root_relative_squared_error: 0.7107, scimark_benchmark: 1144.4136, usercpu_time_millis: 12.48, usercpu_time_millis_testing: 0.679, usercpu_time_millis_training: 11.801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9117, f_measure: 0.9198, kb_relative_information_score: -1369.2236, mean_absolute_error: 0.0984, 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: 0.9626, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2185, root_relative_squared_error: 0.9675, scimark_benchmark: 1871.3925, usercpu_time_millis: 0.869, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 0.799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, f_measure: 0.9416, kappa: 0.3058, kb_relative_information_score: 286.6867, mean_absolute_error: 0.0724, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9552, predictive_accuracy: 0.9558, prior_entropy: 0.3037, recall: 0.9558, relative_absolute_error: 0.7084, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1733, root_relative_squared_error: 0.767, scimark_benchmark: 1766.7623, usercpu_time_millis: 9.939, usercpu_time_millis_testing: 0.8, usercpu_time_millis_training: 9.139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9611, f_measure: 0.9681, kappa: 0.6662, kb_relative_information_score: 953.9565, mean_absolute_error: 0.0594, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9678, predictive_accuracy: 0.9702, prior_entropy: 0.3037, recall: 0.9702, relative_absolute_error: 0.5812, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1608, root_relative_squared_error: 0.7117, scimark_benchmark: 1874.977, usercpu_time_millis: 7.508, usercpu_time_millis_testing: 0.319, usercpu_time_millis_training: 7.189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9771, kappa: 0.7607, kb_relative_information_score: 2501.162, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9778, predictive_accuracy: 0.9787, prior_entropy: 0.3037, recall: 0.9787, relative_absolute_error: 0.3643, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1219, root_relative_squared_error: 0.5396, scimark_benchmark: 1868.6447, usercpu_time_millis: 1.078, usercpu_time_millis_testing: 0.074, usercpu_time_millis_training: 1.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.9614, kappa: 0.5705, kb_relative_information_score: 649.2023, mean_absolute_error: 0.0652, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9651, predictive_accuracy: 0.9669, prior_entropy: 0.3037, recall: 0.9669, relative_absolute_error: 0.6381, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1645, root_relative_squared_error: 0.7281, scimark_benchmark: 1856.5802, usercpu_time_millis: 0.745, usercpu_time_millis_testing: 0.047, usercpu_time_millis_training: 0.698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9669, kappa: 0.6364, kb_relative_information_score: 1769.9078, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9707, predictive_accuracy: 0.9713, prior_entropy: 0.3037, recall: 0.9713, relative_absolute_error: 0.5085, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.14, root_relative_squared_error: 0.6198, scimark_benchmark: 1739.5757, usercpu_time_millis: 15.324, usercpu_time_millis_testing: 1.278, usercpu_time_millis_training: 14.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9568, f_measure: 0.948, kappa: 0.3948, kb_relative_information_score: 444.3963, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9569, predictive_accuracy: 0.9589, prior_entropy: 0.3037, recall: 0.9589, relative_absolute_error: 0.705, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1732, root_relative_squared_error: 0.7668, scimark_benchmark: 1873.019, usercpu_time_millis: 12.918, usercpu_time_millis_testing: 0.875, usercpu_time_millis_training: 12.043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9793, kappa: 0.7888, kb_relative_information_score: 2235.7152, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9792, predictive_accuracy: 0.9802, prior_entropy: 0.3037, recall: 0.9802, relative_absolute_error: 0.3794, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1258, root_relative_squared_error: 0.557, scimark_benchmark: 1865.4271, usercpu_time_millis: 13.586, usercpu_time_millis_testing: 0.684, usercpu_time_millis_training: 12.902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9689, kappa: 0.6603, kb_relative_information_score: 2071.0537, mean_absolute_error: 0.0489, 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: 0.4786, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1368, root_relative_squared_error: 0.6058, scimark_benchmark: 1732.203, usercpu_time_millis: 7.935, usercpu_time_millis_testing: 0.715, usercpu_time_millis_training: 7.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9622, f_measure: 0.9198, kb_relative_information_score: -64.001, mean_absolute_error: 0.0787, 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: 0.7703, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1827, root_relative_squared_error: 0.8087, scimark_benchmark: 1843.5876, usercpu_time_millis: 10.297, usercpu_time_millis_testing: 1.013, usercpu_time_millis_training: 9.284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9803, kappa: 0.7978, kb_relative_information_score: 2770.332, mean_absolute_error: 0.0325, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9803, predictive_accuracy: 0.9812, prior_entropy: 0.3037, recall: 0.9812, relative_absolute_error: 0.3179, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1141, root_relative_squared_error: 0.5052, scimark_benchmark: 1849.1812, usercpu_time_millis: 10.678, usercpu_time_millis_testing: 0.746, usercpu_time_millis_training: 9.932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9845, kappa: 0.8457, kb_relative_information_score: 3072.7668, mean_absolute_error: 0.0243, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9843, predictive_accuracy: 0.9847, prior_entropy: 0.3037, recall: 0.9847, relative_absolute_error: 0.238, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1065, root_relative_squared_error: 0.4716, scimark_benchmark: 1876.6882, usercpu_time_millis: 2.245, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 2.172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.9793, kappa: 0.7988, kb_relative_information_score: 2393.13, mean_absolute_error: 0.0335, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9795, predictive_accuracy: 0.9791, prior_entropy: 0.3037, recall: 0.9791, relative_absolute_error: 0.3277, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1287, root_relative_squared_error: 0.5697, scimark_benchmark: 1874.0573, usercpu_time_millis: 2.285, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 2.223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9702, f_measure: 0.9224, kappa: 0.0356, kb_relative_information_score: 33.561, mean_absolute_error: 0.0773, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9499, predictive_accuracy: 0.9471, prior_entropy: 0.3037, recall: 0.9471, relative_absolute_error: 0.7562, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1807, root_relative_squared_error: 0.7999, scimark_benchmark: 1862.7535, usercpu_time_millis: 12.515, usercpu_time_millis_testing: 1.554, usercpu_time_millis_training: 10.961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9658, f_measure: 0.964, kappa: 0.6072, kb_relative_information_score: 751.2321, mean_absolute_error: 0.0657, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9661, predictive_accuracy: 0.9684, prior_entropy: 0.3037, recall: 0.9684, relative_absolute_error: 0.6423, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1651, root_relative_squared_error: 0.7308, scimark_benchmark: 1847.1538, usercpu_time_millis: 9.55, usercpu_time_millis_testing: 0.479, usercpu_time_millis_training: 9.071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9708, kappa: 0.6965, kb_relative_information_score: 1901.3128, mean_absolute_error: 0.0456, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9707, predictive_accuracy: 0.9727, prior_entropy: 0.3037, recall: 0.9727, relative_absolute_error: 0.4466, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1369, root_relative_squared_error: 0.6061, scimark_benchmark: 1850.7491, usercpu_time_millis: 9.866, usercpu_time_millis_testing: 0.405, usercpu_time_millis_training: 9.461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9274, f_measure: 0.9198, kb_relative_information_score: -1400.5123, mean_absolute_error: 0.0924, 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: 0.9037, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2068, root_relative_squared_error: 0.9156, scimark_benchmark: 1873.4078, usercpu_time_millis: 5.02, usercpu_time_millis_testing: 0.445, usercpu_time_millis_training: 4.575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9682, f_measure: 0.9831, kappa: 0.8313, kb_relative_information_score: 3033.47, mean_absolute_error: 0.024, 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: 0.2344, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1144, root_relative_squared_error: 0.5063, scimark_benchmark: 1781.5232, usercpu_time_millis: 0.564, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 0.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.9198, kb_relative_information_score: 5.5971, 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: 0.9977, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1859.1356, usercpu_time_millis: 3.138, usercpu_time_millis_testing: 0.633, usercpu_time_millis_training: 2.505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8508, f_measure: 0.9198, kb_relative_information_score: -1724.5313, 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: 0.9711, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2204, root_relative_squared_error: 0.9758, scimark_benchmark: 1877.289, usercpu_time_millis: 2.247, usercpu_time_millis_testing: 0.18, usercpu_time_millis_training: 2.067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9714, kappa: 0.7036, kb_relative_information_score: 1904.7656, mean_absolute_error: 0.0451, 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: 0.4408, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1361, root_relative_squared_error: 0.6025, scimark_benchmark: 1868.1832, usercpu_time_millis: 1.725, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 1.655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.9198, kb_relative_information_score: -74.5396, 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: 1844.0458, usercpu_time_millis: 0.717, usercpu_time_millis_testing: 0.077, usercpu_time_millis_training: 0.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9831, kappa: 0.8333, kb_relative_information_score: 2851.4, mean_absolute_error: 0.0271, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.983, predictive_accuracy: 0.9833, prior_entropy: 0.3037, recall: 0.9833, relative_absolute_error: 0.2655, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1123, root_relative_squared_error: 0.4969, scimark_benchmark: 1875.3104, usercpu_time_millis: 56.952, usercpu_time_millis_testing: 1.968, usercpu_time_millis_training: 54.984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9845, kappa: 0.8468, kb_relative_information_score: 3135.4033, mean_absolute_error: 0.0236, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9844, predictive_accuracy: 0.9847, prior_entropy: 0.3037, recall: 0.9847, relative_absolute_error: 0.2306, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.109, root_relative_squared_error: 0.4827, scimark_benchmark: 1876.6882, usercpu_time_millis: 46.552, usercpu_time_millis_testing: 1.923, usercpu_time_millis_training: 44.629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9809, kappa: 0.8033, kb_relative_information_score: 2815.376, mean_absolute_error: 0.0327, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9811, predictive_accuracy: 0.9818, prior_entropy: 0.3037, recall: 0.9818, relative_absolute_error: 0.3198, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1139, root_relative_squared_error: 0.5042, scimark_benchmark: 1872.3546, usercpu_time_millis: 40.073, usercpu_time_millis_testing: 2.868, usercpu_time_millis_training: 37.205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9836, kappa: 0.8374, kb_relative_information_score: 3009.5916, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9835, predictive_accuracy: 0.9839, prior_entropy: 0.3037, recall: 0.9839, relative_absolute_error: 0.2487, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1091, root_relative_squared_error: 0.4831, scimark_benchmark: 1876.2965, usercpu_time_millis: 44.823, usercpu_time_millis_testing: 2.048, usercpu_time_millis_training: 42.775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9833, kappa: 0.835, kb_relative_information_score: 2927.6041, mean_absolute_error: 0.0262, 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: 0.2559, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1107, root_relative_squared_error: 0.4902, scimark_benchmark: 1876.23, usercpu_time_millis: 51.005, usercpu_time_millis_testing: 1.726, usercpu_time_millis_training: 49.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9826, kappa: 0.8279, kb_relative_information_score: 3147.6977, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9825, predictive_accuracy: 0.9828, prior_entropy: 0.3037, recall: 0.9828, relative_absolute_error: 0.2226, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1124, root_relative_squared_error: 0.4977, scimark_benchmark: 1870.742, usercpu_time_millis: 57.946, usercpu_time_millis_testing: 2.162, usercpu_time_millis_training: 55.784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9843, kappa: 0.8445, kb_relative_information_score: 3039.5983, mean_absolute_error: 0.0248, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9842, predictive_accuracy: 0.9845, prior_entropy: 0.3037, recall: 0.9845, relative_absolute_error: 0.2427, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1092, root_relative_squared_error: 0.4832, scimark_benchmark: 1873.4078, usercpu_time_millis: 28.714, usercpu_time_millis_testing: 1.095, usercpu_time_millis_training: 27.619,
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: 0.9895, f_measure: 0.9824, kappa: 0.821, kb_relative_information_score: 2876.9415, mean_absolute_error: 0.0304, 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: 0.297, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1116, root_relative_squared_error: 0.4942, scimark_benchmark: 1855.572, usercpu_time_millis: 25.777, usercpu_time_millis_testing: 1.675, usercpu_time_millis_training: 24.102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9819, kappa: 0.8159, kb_relative_information_score: 2530.7413, mean_absolute_error: 0.0346, 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: 0.3381, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1175, root_relative_squared_error: 0.5201, scimark_benchmark: 1862.4126, usercpu_time_millis: 42.545, usercpu_time_millis_testing: 2.411, usercpu_time_millis_training: 40.134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9842, kappa: 0.8415, kb_relative_information_score: 2931.9942, mean_absolute_error: 0.0269, 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: 0.2627, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1089, root_relative_squared_error: 0.4819, scimark_benchmark: 1864.0845, usercpu_time_millis: 29.449, usercpu_time_millis_testing: 1.598, usercpu_time_millis_training: 27.851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9706, f_measure: 0.9738, kappa: 0.7463, kb_relative_information_score: 1952.3471, mean_absolute_error: 0.0404, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9742, predictive_accuracy: 0.9735, prior_entropy: 0.3037, recall: 0.9735, relative_absolute_error: 0.395, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1476, root_relative_squared_error: 0.6532, scimark_benchmark: 1865.6416, usercpu_time_millis: 49.482, usercpu_time_millis_testing: 1.371, usercpu_time_millis_training: 48.111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9756, kappa: 0.7422, kb_relative_information_score: 2248.4215, mean_absolute_error: 0.0417, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9769, predictive_accuracy: 0.9777, prior_entropy: 0.3037, recall: 0.9777, relative_absolute_error: 0.4077, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.126, root_relative_squared_error: 0.5577, scimark_benchmark: 1871.8964, usercpu_time_millis: 28.408, usercpu_time_millis_testing: 2.256, usercpu_time_millis_training: 26.152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9832, kappa: 0.8326, kb_relative_information_score: 3139.29, mean_absolute_error: 0.025, 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: 0.2447, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1099, root_relative_squared_error: 0.4863, scimark_benchmark: 1754.1719, usercpu_time_millis: 33.912, usercpu_time_millis_testing: 1.665, usercpu_time_millis_training: 32.247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9826, kappa: 0.8251, kb_relative_information_score: 2700.0933, mean_absolute_error: 0.0312, 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: 0.3056, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1141, root_relative_squared_error: 0.5053, scimark_benchmark: 1803.3802, usercpu_time_millis: 34.858, usercpu_time_millis_testing: 1.986, usercpu_time_millis_training: 32.872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9835, kappa: 0.8368, kb_relative_information_score: 3154.5209, mean_absolute_error: 0.0232, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9834, predictive_accuracy: 0.9837, prior_entropy: 0.3037, recall: 0.9837, relative_absolute_error: 0.2269, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1115, root_relative_squared_error: 0.4935, scimark_benchmark: 1873.4015, usercpu_time_millis: 29.656, usercpu_time_millis_testing: 0.962, usercpu_time_millis_training: 28.694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9629, kappa: 0.5886, kb_relative_information_score: 1235.0899, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9668, predictive_accuracy: 0.9682, prior_entropy: 0.3037, recall: 0.9682, relative_absolute_error: 0.5778, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1521, root_relative_squared_error: 0.6735, scimark_benchmark: 1873.4078, usercpu_time_millis: 23.037, usercpu_time_millis_testing: 1.889, usercpu_time_millis_training: 21.148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9835, kappa: 0.8343, kb_relative_information_score: 2993.3654, mean_absolute_error: 0.0278, 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: 0.2721, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.109, root_relative_squared_error: 0.4823, scimark_benchmark: 1875.7049, usercpu_time_millis: 41.083, usercpu_time_millis_testing: 2.183, usercpu_time_millis_training: 38.9,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9835, kappa: 0.8349, kb_relative_information_score: 3080.7352, mean_absolute_error: 0.0261, 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: 0.2553, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.109, root_relative_squared_error: 0.4825, scimark_benchmark: 1876.23, usercpu_time_millis: 35.456, usercpu_time_millis_testing: 1.879, usercpu_time_millis_training: 33.577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.9703, kappa: 0.6894, kb_relative_information_score: 1394.2953, mean_absolute_error: 0.0474, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9702, predictive_accuracy: 0.9723, prior_entropy: 0.3037, recall: 0.9723, relative_absolute_error: 0.4635, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1448, root_relative_squared_error: 0.6408, scimark_benchmark: 1866.8923, usercpu_time_millis: 25.058, usercpu_time_millis_testing: 1.112, usercpu_time_millis_training: 23.946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9834, kappa: 0.8324, kb_relative_information_score: 2867.7957, mean_absolute_error: 0.03, 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: 0.2932, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1108, root_relative_squared_error: 0.4905, scimark_benchmark: 1870.2804, usercpu_time_millis: 37.43, usercpu_time_millis_testing: 2.175, usercpu_time_millis_training: 35.255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9789, kappa: 0.7935, kb_relative_information_score: 2372.1747, mean_absolute_error: 0.0349, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9789, predictive_accuracy: 0.9789, prior_entropy: 0.3037, recall: 0.9789, relative_absolute_error: 0.341, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1262, root_relative_squared_error: 0.5587, scimark_benchmark: 1874.4489, usercpu_time_millis: 19.932, usercpu_time_millis_testing: 0.665, usercpu_time_millis_training: 19.267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.96, kappa: 0.5472, kb_relative_information_score: 1500.7659, mean_absolute_error: 0.0585, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9669, predictive_accuracy: 0.9667, prior_entropy: 0.3037, recall: 0.9667, relative_absolute_error: 0.5727, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1517, root_relative_squared_error: 0.6716, scimark_benchmark: 1870.742, usercpu_time_millis: 18.608, usercpu_time_millis_testing: 1.913, usercpu_time_millis_training: 16.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.982, kappa: 0.8174, kb_relative_information_score: 2524.0517, mean_absolute_error: 0.0344, 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: 0.3366, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1198, root_relative_squared_error: 0.5302, scimark_benchmark: 1868.0018, usercpu_time_millis: 41.184, usercpu_time_millis_testing: 1.925, usercpu_time_millis_training: 39.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9657, kappa: 0.6341, kb_relative_information_score: 1021.3646, mean_absolute_error: 0.059, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.966, predictive_accuracy: 0.9688, prior_entropy: 0.3037, recall: 0.9688, relative_absolute_error: 0.5769, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1571, root_relative_squared_error: 0.6953, scimark_benchmark: 1871.8964, usercpu_time_millis: 20.536, usercpu_time_millis_testing: 1.252, usercpu_time_millis_training: 19.284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9825, kappa: 0.8238, kb_relative_information_score: 2780.6563, mean_absolute_error: 0.031, 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: 0.3032, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1123, root_relative_squared_error: 0.4973, scimark_benchmark: 1861.2354, usercpu_time_millis: 22.213, usercpu_time_millis_testing: 1.19, usercpu_time_millis_training: 21.023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9708, kappa: 0.6953, kb_relative_information_score: 1897.3903, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9707, predictive_accuracy: 0.9727, prior_entropy: 0.3037, recall: 0.9727, relative_absolute_error: 0.445, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1362, root_relative_squared_error: 0.6031, scimark_benchmark: 1851.4115, usercpu_time_millis: 28.795, usercpu_time_millis_testing: 1.426, usercpu_time_millis_training: 27.369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9796, kappa: 0.7884, kb_relative_information_score: 2656.672, mean_absolute_error: 0.0352, 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: 0.3441, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1167, root_relative_squared_error: 0.5165, scimark_benchmark: 1873.4078, usercpu_time_millis: 16.616, usercpu_time_millis_testing: 0.958, usercpu_time_millis_training: 15.658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.984, kappa: 0.8409, kb_relative_information_score: 2997.9486, mean_absolute_error: 0.0265, 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: 0.2596, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1077, root_relative_squared_error: 0.4769, scimark_benchmark: 1871.9601, usercpu_time_millis: 19.248, usercpu_time_millis_testing: 0.901, usercpu_time_millis_training: 18.347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.9603, kappa: 0.5544, kb_relative_information_score: 706.9917, mean_absolute_error: 0.066, 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: 0.6458, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1641, root_relative_squared_error: 0.7264, scimark_benchmark: 1868.9633, usercpu_time_millis: 18.247, usercpu_time_millis_testing: 1.642, usercpu_time_millis_training: 16.605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9776, kappa: 0.7674, kb_relative_information_score: 2248.3276, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9779, predictive_accuracy: 0.9789, prior_entropy: 0.3037, recall: 0.9789, relative_absolute_error: 0.391, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1259, root_relative_squared_error: 0.5574, scimark_benchmark: 1754.1719, usercpu_time_millis: 26.037, usercpu_time_millis_testing: 1.305, usercpu_time_millis_training: 24.732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9829, kappa: 0.8282, kb_relative_information_score: 2730.0595, mean_absolute_error: 0.0306, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9827, predictive_accuracy: 0.9833, prior_entropy: 0.3037, recall: 0.9833, relative_absolute_error: 0.2994, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1139, root_relative_squared_error: 0.5042, scimark_benchmark: 1872.4216, usercpu_time_millis: 15.614, usercpu_time_millis_testing: 0.756, usercpu_time_millis_training: 14.858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9836, kappa: 0.8367, kb_relative_information_score: 2699.0734, mean_absolute_error: 0.0299, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9835, predictive_accuracy: 0.9839, prior_entropy: 0.3037, recall: 0.9839, relative_absolute_error: 0.2924, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1155, root_relative_squared_error: 0.5115, scimark_benchmark: 1848.8955, usercpu_time_millis: 16.571, usercpu_time_millis_testing: 0.694, usercpu_time_millis_training: 15.877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.983, kappa: 0.8334, kb_relative_information_score: 3002.2416, mean_absolute_error: 0.0244, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.983, predictive_accuracy: 0.9831, prior_entropy: 0.3037, recall: 0.9831, relative_absolute_error: 0.2391, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1128, root_relative_squared_error: 0.4992, scimark_benchmark: 1836.0661, usercpu_time_millis: 28.202, usercpu_time_millis_testing: 0.954, usercpu_time_millis_training: 27.248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9839, kappa: 0.8397, kb_relative_information_score: 3183.5846, mean_absolute_error: 0.0232, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9837, predictive_accuracy: 0.9841, prior_entropy: 0.3037, recall: 0.9841, relative_absolute_error: 0.2266, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1102, root_relative_squared_error: 0.488, scimark_benchmark: 1862.3553, usercpu_time_millis: 43.18, usercpu_time_millis_testing: 2.014, usercpu_time_millis_training: 41.166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9841, kappa: 0.8415, kb_relative_information_score: 3162.4361, mean_absolute_error: 0.0232, 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: 0.2273, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1097, root_relative_squared_error: 0.4856, scimark_benchmark: 1819.6317, usercpu_time_millis: 27.546, usercpu_time_millis_testing: 1.091, usercpu_time_millis_training: 26.455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9569, f_measure: 0.9683, kappa: 0.6703, kb_relative_information_score: 974.7197, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9679, predictive_accuracy: 0.9702, prior_entropy: 0.3037, recall: 0.9702, relative_absolute_error: 0.5244, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1587, root_relative_squared_error: 0.7026, scimark_benchmark: 1869.6309, usercpu_time_millis: 29.134, usercpu_time_millis_testing: 1.388, usercpu_time_millis_training: 27.746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9826, kappa: 0.8251, kb_relative_information_score: 2686.2336, 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: 0.3074, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1149, root_relative_squared_error: 0.5085, scimark_benchmark: 1750.1895, usercpu_time_millis: 22.45, usercpu_time_millis_testing: 1.309, usercpu_time_millis_training: 21.141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9763, kappa: 0.7499, kb_relative_information_score: 2334.9446, mean_absolute_error: 0.0408, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9776, predictive_accuracy: 0.9783, prior_entropy: 0.3037, recall: 0.9783, relative_absolute_error: 0.3994, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1246, root_relative_squared_error: 0.5516, scimark_benchmark: 1876.6882, usercpu_time_millis: 24.217, usercpu_time_millis_testing: 1.897, usercpu_time_millis_training: 22.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9836, kappa: 0.8342, kb_relative_information_score: 2896.0123, mean_absolute_error: 0.0287, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9835, predictive_accuracy: 0.9841, prior_entropy: 0.3037, recall: 0.9841, relative_absolute_error: 0.281, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.11, root_relative_squared_error: 0.4868, scimark_benchmark: 1877.7992, usercpu_time_millis: 20.169, usercpu_time_millis_testing: 1.246, usercpu_time_millis_training: 18.923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9654, kappa: 0.619, kb_relative_information_score: 1344.2337, mean_absolute_error: 0.0578, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.969, predictive_accuracy: 0.97, prior_entropy: 0.3037, recall: 0.97, relative_absolute_error: 0.5657, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1512, root_relative_squared_error: 0.6695, scimark_benchmark: 1870.5216, usercpu_time_millis: 15.098, usercpu_time_millis_testing: 1.404, usercpu_time_millis_training: 13.694,

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