Task
Supervised Classification on transplant

Supervised Classification on transplant

Task 3748 Supervised Classification transplant 1026 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9924, kappa: 0.9836, kb_relative_information_score: 128.5689, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9925, predictive_accuracy: 0.9924, prior_entropy: 0.9495, recall: 0.9924, relative_absolute_error: 0.0164, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0874, root_relative_squared_error: 0.1813, usercpu_time_millis: 0.269, usercpu_time_millis_testing: 0.047, usercpu_time_millis_training: 0.222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9924, kappa: 0.9836, kb_relative_information_score: 128.5689, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9925, predictive_accuracy: 0.9924, prior_entropy: 0.9495, recall: 0.9924, relative_absolute_error: 0.0164, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0874, root_relative_squared_error: 0.1813, usercpu_time_millis: 1.839, usercpu_time_millis_testing: 0.605, usercpu_time_millis_training: 1.234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9847, kappa: 0.9671, kb_relative_information_score: 126.3534, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9847, predictive_accuracy: 0.9847, prior_entropy: 0.9495, recall: 0.9847, relative_absolute_error: 0.0328, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1236, root_relative_squared_error: 0.2564, usercpu_time_millis: 0.336, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 0.317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.977, kappa: 0.9505, kb_relative_information_score: 124.1379, mean_absolute_error: 0.0229, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9771, predictive_accuracy: 0.9771, prior_entropy: 0.9495, recall: 0.9771, relative_absolute_error: 0.0493, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1513, root_relative_squared_error: 0.3141, usercpu_time_millis: 0.055, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 0.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9847, kappa: 0.9671, kb_relative_information_score: 126.3534, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9847, predictive_accuracy: 0.9847, prior_entropy: 0.9495, recall: 0.9847, relative_absolute_error: 0.0328, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1236, root_relative_squared_error: 0.2564, usercpu_time_millis: 0.122, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 0.106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9772, kappa: 0.9513, kb_relative_information_score: 124.1379, mean_absolute_error: 0.0229, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9784, predictive_accuracy: 0.9771, prior_entropy: 0.9495, recall: 0.9771, relative_absolute_error: 0.0493, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1513, root_relative_squared_error: 0.3141, usercpu_time_millis: 0.066, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 0.045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.977, kappa: 0.9505, kb_relative_information_score: 124.1379, mean_absolute_error: 0.0229, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9771, predictive_accuracy: 0.9771, prior_entropy: 0.9495, recall: 0.9771, relative_absolute_error: 0.0493, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1513, root_relative_squared_error: 0.3141, usercpu_time_millis: 0.442, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 0.432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9697, kappa: 0.9354, kb_relative_information_score: 121.9224, mean_absolute_error: 0.0305, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9718, predictive_accuracy: 0.9695, prior_entropy: 0.9495, recall: 0.9695, relative_absolute_error: 0.0657, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1747, root_relative_squared_error: 0.3627, usercpu_time_millis: 0.299, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 0.286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9923, kappa: 0.9835, kb_relative_information_score: 128.5689, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9925, predictive_accuracy: 0.9924, prior_entropy: 0.9495, recall: 0.9924, relative_absolute_error: 0.0164, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0874, root_relative_squared_error: 0.1813, usercpu_time_millis: 10.57, usercpu_time_millis_testing: 0.077, usercpu_time_millis_training: 10.493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.9771, kappa: 0.9509, kb_relative_information_score: 124.1379, mean_absolute_error: 0.0229, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9773, predictive_accuracy: 0.9771, prior_entropy: 0.9495, recall: 0.9771, relative_absolute_error: 0.0493, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1513, root_relative_squared_error: 0.3141, usercpu_time_millis: 0.073, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 0.054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5051, f_measure: 0.5371, kappa: 0.0102, kb_relative_information_score: -4.3627, mean_absolute_error: 0.4656, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.5404, predictive_accuracy: 0.5344, prior_entropy: 0.9495, recall: 0.5344, relative_absolute_error: 1.0017, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.6824, root_relative_squared_error: 1.4162, usercpu_time_millis: 0.039, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 0.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7396, f_measure: 0.7881, kappa: 0.5383, kb_relative_information_score: 75.3963, mean_absolute_error: 0.1908, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.8533, predictive_accuracy: 0.8092, prior_entropy: 0.9495, recall: 0.8092, relative_absolute_error: 0.4105, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.4369, root_relative_squared_error: 0.9067, usercpu_time_millis: 7.542, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 7.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9627, f_measure: 0.9693, kappa: 0.9337, kb_relative_information_score: 121.9224, mean_absolute_error: 0.0305, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9697, predictive_accuracy: 0.9695, prior_entropy: 0.9495, recall: 0.9695, relative_absolute_error: 0.0657, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1747, root_relative_squared_error: 0.3627, usercpu_time_millis: 0.07, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 0.036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9847, kappa: 0.9671, kb_relative_information_score: 126.3534, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9847, predictive_accuracy: 0.9847, prior_entropy: 0.9495, recall: 0.9847, relative_absolute_error: 0.0328, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1236, root_relative_squared_error: 0.2564, usercpu_time_millis: 0.077, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 0.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4915, kb_relative_information_score: 24.4391, mean_absolute_error: 0.3664, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.4014, predictive_accuracy: 0.6336, prior_entropy: 0.9495, recall: 0.6336, relative_absolute_error: 0.7882, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.6053, root_relative_squared_error: 1.2563, usercpu_time_millis: 10.843, usercpu_time_millis_testing: 1.358, usercpu_time_millis_training: 9.485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9847, kappa: 0.9671, kb_relative_information_score: 126.3534, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9847, predictive_accuracy: 0.9847, prior_entropy: 0.9495, recall: 0.9847, relative_absolute_error: 0.0328, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1236, root_relative_squared_error: 0.2564, usercpu_time_millis: 0.11, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 0.1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9847, kappa: 0.9671, kb_relative_information_score: 126.3534, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9847, predictive_accuracy: 0.9847, prior_entropy: 0.9495, recall: 0.9847, relative_absolute_error: 0.0328, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1236, root_relative_squared_error: 0.2564, usercpu_time_millis: 0.092, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 0.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9924, kappa: 0.9836, kb_relative_information_score: 128.5689, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9925, predictive_accuracy: 0.9924, prior_entropy: 0.9495, recall: 0.9924, relative_absolute_error: 0.0164, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0874, root_relative_squared_error: 0.1813, usercpu_time_millis: 0.053, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 0.037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9671, f_measure: 0.9695, kappa: 0.9342, kb_relative_information_score: 121.9224, mean_absolute_error: 0.0305, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9695, predictive_accuracy: 0.9695, prior_entropy: 0.9495, recall: 0.9695, relative_absolute_error: 0.0657, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1747, root_relative_squared_error: 0.3627, usercpu_time_millis: 0.097, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 0.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9924, kappa: 0.9836, kb_relative_information_score: 128.5689, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9925, predictive_accuracy: 0.9924, prior_entropy: 0.9495, recall: 0.9924, relative_absolute_error: 0.0164, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0874, root_relative_squared_error: 0.1813, usercpu_time_millis: 0.058, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 0.045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4915, kb_relative_information_score: 24.4391, mean_absolute_error: 0.3664, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.4014, predictive_accuracy: 0.6336, prior_entropy: 0.9495, recall: 0.6336, relative_absolute_error: 0.7882, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.6053, root_relative_squared_error: 1.2563, usercpu_time_millis: 0.078, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 0.065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9847, kappa: 0.9671, kb_relative_information_score: 126.3534, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9847, predictive_accuracy: 0.9847, prior_entropy: 0.9495, recall: 0.9847, relative_absolute_error: 0.0328, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1236, root_relative_squared_error: 0.2564, usercpu_time_millis: 0.166, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 0.138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4915, kb_relative_information_score: 24.4391, mean_absolute_error: 0.3664, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.4014, predictive_accuracy: 0.6336, prior_entropy: 0.9495, recall: 0.6336, relative_absolute_error: 0.7882, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.6053, root_relative_squared_error: 1.2563, usercpu_time_millis: 0.071, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 0.066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9924, kappa: 0.9836, kb_relative_information_score: 128.5689, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9925, predictive_accuracy: 0.9924, prior_entropy: 0.9495, recall: 0.9924, relative_absolute_error: 0.0164, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0874, root_relative_squared_error: 0.1813, usercpu_time_millis: 0.156, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 0.131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9924, kappa: 0.9836, kb_relative_information_score: 128.5689, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9925, predictive_accuracy: 0.9924, prior_entropy: 0.9495, recall: 0.9924, relative_absolute_error: 0.0164, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0874, root_relative_squared_error: 0.1813, usercpu_time_millis: 3.002, usercpu_time_millis_testing: 0.16, usercpu_time_millis_training: 2.842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9847, kappa: 0.9671, kb_relative_information_score: 126.3534, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9847, predictive_accuracy: 0.9847, prior_entropy: 0.9495, recall: 0.9847, relative_absolute_error: 0.0328, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1236, root_relative_squared_error: 0.2564, usercpu_time_millis: 260.07, usercpu_time_millis_testing: 1.696, usercpu_time_millis_training: 258.374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9847, kappa: 0.9671, kb_relative_information_score: 126.3534, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9847, predictive_accuracy: 0.9847, prior_entropy: 0.9495, recall: 0.9847, relative_absolute_error: 0.0328, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1236, root_relative_squared_error: 0.2564, usercpu_time_millis: 0.088, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 0.072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.977, kappa: 0.9505, kb_relative_information_score: 124.1379, mean_absolute_error: 0.0229, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9771, predictive_accuracy: 0.9771, prior_entropy: 0.9495, recall: 0.9771, relative_absolute_error: 0.0493, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1513, root_relative_squared_error: 0.3141, usercpu_time_millis: 0.209, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 0.193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9848, kappa: 0.9674, kb_relative_information_score: 126.3534, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9853, predictive_accuracy: 0.9847, prior_entropy: 0.9495, recall: 0.9847, relative_absolute_error: 0.0328, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1236, root_relative_squared_error: 0.2564, usercpu_time_millis: 14.18, usercpu_time_millis_testing: 0.609, usercpu_time_millis_training: 13.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9847, kappa: 0.9671, kb_relative_information_score: 126.3534, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9847, predictive_accuracy: 0.9847, prior_entropy: 0.9495, recall: 0.9847, relative_absolute_error: 0.0328, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1236, root_relative_squared_error: 0.2564, usercpu_time_millis: 0.303, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 0.243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9847, kappa: 0.9671, kb_relative_information_score: 126.3534, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9847, predictive_accuracy: 0.9847, prior_entropy: 0.9495, recall: 0.9847, relative_absolute_error: 0.0328, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1236, root_relative_squared_error: 0.2564, usercpu_time_millis: 6.187, usercpu_time_millis_testing: 0.916, usercpu_time_millis_training: 5.271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9924, kappa: 0.9836, kb_relative_information_score: 128.5689, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9925, predictive_accuracy: 0.9924, prior_entropy: 0.9495, recall: 0.9924, relative_absolute_error: 0.0164, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0874, root_relative_squared_error: 0.1813, usercpu_time_millis: 0.591, usercpu_time_millis_testing: 0.294, usercpu_time_millis_training: 0.297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9847, kappa: 0.9671, kb_relative_information_score: 126.3534, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9847, predictive_accuracy: 0.9847, prior_entropy: 0.9495, recall: 0.9847, relative_absolute_error: 0.0328, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1236, root_relative_squared_error: 0.2564, usercpu_time_millis: 0.405, usercpu_time_millis_testing: 0.197, usercpu_time_millis_training: 0.208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9848, kappa: 0.9674, kb_relative_information_score: 126.3534, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9853, predictive_accuracy: 0.9847, prior_entropy: 0.9495, recall: 0.9847, relative_absolute_error: 0.0328, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1236, root_relative_squared_error: 0.2564, usercpu_time_millis: 0.019, usercpu_time_millis_testing: 0.003, usercpu_time_millis_training: 0.016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9848, kappa: 0.9674, kb_relative_information_score: 126.3534, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9853, predictive_accuracy: 0.9847, prior_entropy: 0.9495, recall: 0.9847, relative_absolute_error: 0.0328, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1236, root_relative_squared_error: 0.2564, usercpu_time_millis: 0.026, usercpu_time_millis_testing: 0.003, usercpu_time_millis_training: 0.023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.9847, kappa: 0.9668, kb_relative_information_score: 126.3534, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9851, predictive_accuracy: 0.9847, prior_entropy: 0.9495, recall: 0.9847, relative_absolute_error: 0.0328, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1236, root_relative_squared_error: 0.2564, usercpu_time_millis: 0.588, usercpu_time_millis_testing: 0.294, usercpu_time_millis_training: 0.294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9924, kappa: 0.9836, kb_relative_information_score: 128.5689, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9925, predictive_accuracy: 0.9924, prior_entropy: 0.9495, recall: 0.9924, relative_absolute_error: 0.0164, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0874, root_relative_squared_error: 0.1813, usercpu_time_millis: 0.921, usercpu_time_millis_testing: 0.451, usercpu_time_millis_training: 0.47,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9847, kappa: 0.9671, kb_relative_information_score: 124.6494, mean_absolute_error: 0.0226, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9847, predictive_accuracy: 0.9847, prior_entropy: 0.9495, recall: 0.9847, relative_absolute_error: 0.0485, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1206, root_relative_squared_error: 0.2503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9847, kappa: 0.9671, kb_relative_information_score: 126.3537, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9847, predictive_accuracy: 0.9847, prior_entropy: 0.9495, recall: 0.9847, relative_absolute_error: 0.0328, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1236, root_relative_squared_error: 0.2564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9847, kappa: 0.9671, kb_relative_information_score: 126.3537, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9847, predictive_accuracy: 0.9847, prior_entropy: 0.9495, recall: 0.9847, relative_absolute_error: 0.0328, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1236, root_relative_squared_error: 0.2564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9847, kappa: 0.9671, kb_relative_information_score: 126.3537, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9847, predictive_accuracy: 0.9847, prior_entropy: 0.9495, recall: 0.9847, relative_absolute_error: 0.0328, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1236, root_relative_squared_error: 0.2564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4828, f_measure: 0.4915, kb_relative_information_score: -4.2045, mean_absolute_error: 0.4714, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.4014, predictive_accuracy: 0.6336, prior_entropy: 0.9495, recall: 0.6336, relative_absolute_error: 1.014, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.4888, root_relative_squared_error: 1.0144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4828, f_measure: 0.4915, kb_relative_information_score: -4.2045, mean_absolute_error: 0.4714, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.4014, predictive_accuracy: 0.6336, prior_entropy: 0.9495, recall: 0.6336, relative_absolute_error: 1.014, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.4888, root_relative_squared_error: 1.0144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9924, kappa: 0.9836, kb_relative_information_score: 128.5689, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9925, predictive_accuracy: 0.9924, prior_entropy: 0.9495, recall: 0.9924, relative_absolute_error: 0.0164, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0874, root_relative_squared_error: 0.1813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9924, kappa: 0.9836, kb_relative_information_score: 128.5689, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9925, predictive_accuracy: 0.9924, prior_entropy: 0.9495, recall: 0.9924, relative_absolute_error: 0.0164, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0874, root_relative_squared_error: 0.1813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9924, kappa: 0.9836, kb_relative_information_score: 128.5689, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9925, predictive_accuracy: 0.9924, prior_entropy: 0.9495, recall: 0.9924, relative_absolute_error: 0.0164, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0874, root_relative_squared_error: 0.1813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9924, kappa: 0.9836, kb_relative_information_score: 128.5689, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9925, predictive_accuracy: 0.9924, prior_entropy: 0.9495, recall: 0.9924, relative_absolute_error: 0.0164, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0874, root_relative_squared_error: 0.1813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9924, kappa: 0.9836, kb_relative_information_score: 127.8941, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9925, predictive_accuracy: 0.9924, prior_entropy: 0.9495, recall: 0.9924, relative_absolute_error: 0.0231, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0898, root_relative_squared_error: 0.1864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9924, kappa: 0.9836, kb_relative_information_score: 127.8941, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9925, predictive_accuracy: 0.9924, prior_entropy: 0.9495, recall: 0.9924, relative_absolute_error: 0.0231, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0898, root_relative_squared_error: 0.1864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9924, kappa: 0.9836, kb_relative_information_score: 127.8941, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9925, predictive_accuracy: 0.9924, prior_entropy: 0.9495, recall: 0.9924, relative_absolute_error: 0.0231, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0898, root_relative_squared_error: 0.1864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9924, kappa: 0.9836, kb_relative_information_score: 127.8941, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9925, predictive_accuracy: 0.9924, prior_entropy: 0.9495, recall: 0.9924, relative_absolute_error: 0.0231, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0898, root_relative_squared_error: 0.1864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4828, f_measure: 0.4915, kb_relative_information_score: -4.2045, mean_absolute_error: 0.4714, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.4014, predictive_accuracy: 0.6336, prior_entropy: 0.9495, recall: 0.6336, relative_absolute_error: 1.014, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.4888, root_relative_squared_error: 1.0144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4828, f_measure: 0.4915, kb_relative_information_score: -4.2045, mean_absolute_error: 0.4714, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.4014, predictive_accuracy: 0.6336, prior_entropy: 0.9495, recall: 0.6336, relative_absolute_error: 1.014, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.4888, root_relative_squared_error: 1.0144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9924, kappa: 0.9836, kb_relative_information_score: 128.5689, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9925, predictive_accuracy: 0.9924, prior_entropy: 0.9495, recall: 0.9924, relative_absolute_error: 0.0164, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0874, root_relative_squared_error: 0.1813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9924, kappa: 0.9836, kb_relative_information_score: 128.5689, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9925, predictive_accuracy: 0.9924, prior_entropy: 0.9495, recall: 0.9924, relative_absolute_error: 0.0164, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0874, root_relative_squared_error: 0.1813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9924, kappa: 0.9836, kb_relative_information_score: 128.5689, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9925, predictive_accuracy: 0.9924, prior_entropy: 0.9495, recall: 0.9924, relative_absolute_error: 0.0164, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0874, root_relative_squared_error: 0.1813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9924, kappa: 0.9836, kb_relative_information_score: 127.8941, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9925, predictive_accuracy: 0.9924, prior_entropy: 0.9495, recall: 0.9924, relative_absolute_error: 0.0231, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0898, root_relative_squared_error: 0.1864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9924, kappa: 0.9836, kb_relative_information_score: 127.8941, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9925, predictive_accuracy: 0.9924, prior_entropy: 0.9495, recall: 0.9924, relative_absolute_error: 0.0231, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0898, root_relative_squared_error: 0.1864,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs