From: Prediction of blood–brain barrier penetrating peptides based on data augmentation with Augur
Evaluation strategy | Classifier | Sn | Sp | ACC | MCC | AUROC |
---|---|---|---|---|---|---|
Training set validation | B3Pred | 0.869 | 0.850 | 0.852 | 0.510 | 0.930 |
MIMML | 0.641 | 0.989 | 0.957 | 0.716 | 0.922 | |
SCMB3PP | 0.661 | 0.980 | 0.951 | 0.684 | 0.896 | |
Augur | 0.853 | 0.839 | 0.846 | 0.695 | 0.932 | |
Independent set validation | B3Pred | 0.814 | 0.830 | 0.829 | 0.440 | 0.900 |
MIMML | 0.833 | 0.894 | 0.889 | 0.550 | 0.930 | |
SCMB3PP | 0.648 | 0.974 | 0.944 | 0.650 | 0.862 | |
Augur | 0.833 | 0.861 | 0.858 | 0.497 | 0.931 |