OpenML
Supervised Classification on transplant

Supervised Classification on transplant

Task 3748 Supervised Classification transplant 1026 runs submitted
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  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 study_7 under100k under1m
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1026 Runs

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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: 0.451, usercpu_time_millis_testing: 0.223, usercpu_time_millis_training: 0.228,
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: 0.705, usercpu_time_millis_testing: 0.334, usercpu_time_millis_training: 0.371,
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: 0.448, usercpu_time_millis_testing: 0.222, usercpu_time_millis_training: 0.226,
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,
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: 0.9836, 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,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9583, f_measure: 0.9692, kappa: 0.9331, kb_relative_information_score: 121.9224, mean_absolute_error: 0.0305, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9709, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.9397, kappa: 0.8729, kb_relative_information_score: 113.0602, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9477, predictive_accuracy: 0.9389, prior_entropy: 0.9495, recall: 0.9389, relative_absolute_error: 0.1314, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.2471, root_relative_squared_error: 0.5129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.9397, kappa: 0.8729, kb_relative_information_score: 113.0602, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9477, predictive_accuracy: 0.9389, prior_entropy: 0.9495, recall: 0.9389, relative_absolute_error: 0.1314, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.2471, root_relative_squared_error: 0.5129,
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, scimark_benchmark: 1870.7932,
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, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9847, kappa: 0.9671, kb_relative_information_score: 126.039, mean_absolute_error: 0.0168, 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: 0.0362, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1223, root_relative_squared_error: 0.2539, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9847, kappa: 0.9671, kb_relative_information_score: 126.039, mean_absolute_error: 0.0168, 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: 0.0362, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1223, root_relative_squared_error: 0.2539, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9693, kappa: 0.9337, kb_relative_information_score: 118.7994, mean_absolute_error: 0.0443, 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: 0.0953, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1454, root_relative_squared_error: 0.3018, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9693, kappa: 0.9337, kb_relative_information_score: 118.7994, mean_absolute_error: 0.0443, 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: 0.0953, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1454, root_relative_squared_error: 0.3018, scimark_benchmark: 1870.7932,
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,
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,
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,
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, scimark_benchmark: 1806.5905,
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, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9847, kappa: 0.9671, kb_relative_information_score: 125.6682, mean_absolute_error: 0.0185, 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: 0.0397, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0973, root_relative_squared_error: 0.2019, scimark_benchmark: 1806.5905, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9847, kappa: 0.9671, kb_relative_information_score: 125.6682, mean_absolute_error: 0.0185, 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: 0.0397, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0973, root_relative_squared_error: 0.2019, scimark_benchmark: 1806.5905, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9847, kappa: 0.9671, kb_relative_information_score: 124.7436, mean_absolute_error: 0.0233, 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: 0.0502, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1228, root_relative_squared_error: 0.2549, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9847, kappa: 0.9671, kb_relative_information_score: 124.7436, mean_absolute_error: 0.0233, 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: 0.0502, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1228, root_relative_squared_error: 0.2549, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9693, kappa: 0.9337, kb_relative_information_score: 119.9923, mean_absolute_error: 0.0398, 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: 0.0856, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1366, root_relative_squared_error: 0.2834, scimark_benchmark: 1877.5305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9693, kappa: 0.9337, kb_relative_information_score: 119.9923, mean_absolute_error: 0.0398, 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: 0.0856, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1366, root_relative_squared_error: 0.2834, scimark_benchmark: 1850.8887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4705, f_measure: 0.4915, kb_relative_information_score: -0.2023, mean_absolute_error: 0.4651, 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: 1.0006, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.482, root_relative_squared_error: 1.0005, scimark_benchmark: 1850.8887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9847, kappa: 0.9671, kb_relative_information_score: 125.6682, mean_absolute_error: 0.0185, 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: 0.0397, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0973, root_relative_squared_error: 0.2019, scimark_benchmark: 1762.448, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
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, scimark_benchmark: 1762.448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9693, kappa: 0.9337, kb_relative_information_score: 119.9923, mean_absolute_error: 0.0398, 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: 0.0856, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1366, root_relative_squared_error: 0.2834, scimark_benchmark: 1762.448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9847, kappa: 0.9671, kb_relative_information_score: 124.7436, mean_absolute_error: 0.0233, 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: 0.0502, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1228, root_relative_squared_error: 0.2549, scimark_benchmark: 1762.448, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9847, kappa: 0.9671, kb_relative_information_score: 125.6682, mean_absolute_error: 0.0185, 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: 0.0397, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0973, root_relative_squared_error: 0.2019, scimark_benchmark: 1762.448,
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, scimark_benchmark: 1762.448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9693, kappa: 0.9337, kb_relative_information_score: 119.9923, mean_absolute_error: 0.0398, 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: 0.0856, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1366, root_relative_squared_error: 0.2834, scimark_benchmark: 1762.448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9847, kappa: 0.9671, kb_relative_information_score: 124.7436, mean_absolute_error: 0.0233, 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: 0.0502, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1228, root_relative_squared_error: 0.2549, scimark_benchmark: 1762.448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4705, f_measure: 0.4915, kb_relative_information_score: -0.2023, mean_absolute_error: 0.4651, 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: 1.0006, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.482, root_relative_squared_error: 1.0005, scimark_benchmark: 1762.448,
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: 0.069, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 0.057,
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: 1.469, usercpu_time_millis_testing: 0.45, usercpu_time_millis_training: 1.019,
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: 0.515, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 0.445,
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: 0.5, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 0.472,
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: 0.146, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 0.134,
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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: 0.064, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 0.048,
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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: 0.076, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 0.068,
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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: 0.902, usercpu_time_millis_testing: 0.175, usercpu_time_millis_training: 0.727,
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: 1.573, usercpu_time_millis_testing: 0.024, usercpu_time_millis_training: 1.549,
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: 0.255, usercpu_time_millis_testing: 0.049, usercpu_time_millis_training: 0.206,
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: 1.622, usercpu_time_millis_testing: 0.553, usercpu_time_millis_training: 1.069,
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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: 0.052, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 0.038,
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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: 0.053, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 0.041,
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: 0.395, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 0.387,
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: 0.257, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 0.247,
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: 9.545, usercpu_time_millis_testing: 0.078, usercpu_time_millis_training: 9.467,
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: 0.069, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 0.051,
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: 6.528, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 6.517,
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: 0.062, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 0.032,
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: 0.068, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 0.054,
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: 10.15, usercpu_time_millis_testing: 1.218, usercpu_time_millis_training: 8.932,
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: 0.095, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 0.085,
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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: 0.053, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 0.035,
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: 0.088, usercpu_time_millis_testing: 0.022, 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: 0.05, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 0.04,
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: 0.077, usercpu_time_millis_testing: 0.012, 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: 0.158, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 0.131,
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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: 0.093, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 0.077,
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: 0.173, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 0.163,
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: 13.285, usercpu_time_millis_testing: 0.541, usercpu_time_millis_training: 12.744,
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: 0.293, usercpu_time_millis_testing: 0.053, usercpu_time_millis_training: 0.24,
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: 4.186, usercpu_time_millis_testing: 0.654, usercpu_time_millis_training: 3.532,
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: 0.572, usercpu_time_millis_testing: 0.281, usercpu_time_millis_training: 0.291,
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: 0.431, usercpu_time_millis_testing: 0.208, usercpu_time_millis_training: 0.223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.4326, kappa: 0.1588, kb_relative_information_score: -16.109, mean_absolute_error: 0.5055, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.7879, predictive_accuracy: 0.4962, prior_entropy: 0.9495, recall: 0.4962, relative_absolute_error: 1.0874, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.6737, root_relative_squared_error: 1.3982, usercpu_time_millis: 0.089, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 0.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9847, kappa: 0.9668, kb_relative_information_score: 124.9658, mean_absolute_error: 0.0219, 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: 0.0471, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0943, root_relative_squared_error: 0.1957, usercpu_time_millis: 0.961, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 0.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.977, kappa: 0.9505, kb_relative_information_score: 123.5191, mean_absolute_error: 0.0273, 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: 0.0587, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1093, root_relative_squared_error: 0.2268, usercpu_time_millis: 0.071, usercpu_time_millis_testing: 0.065, usercpu_time_millis_training: 0.006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9847, kappa: 0.9671, kb_relative_information_score: 116.3039, mean_absolute_error: 0.0598, 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: 0.1287, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1311, root_relative_squared_error: 0.2722, usercpu_time_millis: 0.244, usercpu_time_millis_testing: 0.098, usercpu_time_millis_training: 0.146,
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: 0.021, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 0.015,
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: 0.036, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 0.029,
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: 0.637, usercpu_time_millis_testing: 0.303, usercpu_time_millis_training: 0.334,
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: 0.925, usercpu_time_millis_testing: 0.429, usercpu_time_millis_training: 0.496,
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: 0.571, usercpu_time_millis_testing: 0.267, usercpu_time_millis_training: 0.304,
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: 0.15, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 0.139,
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: 0.023, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 0.015,
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: 0.068, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 0.05,
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: 0.064, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 0.054,
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: 0.01, usercpu_time_millis_training: 0.068,
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: 0.072, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 0.054,
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: 1.099, usercpu_time_millis_testing: 0.211, usercpu_time_millis_training: 0.888,
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: 1.812, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 1.789,

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