From: Prediction of blood–brain barrier penetrating peptides based on data augmentation with Augur
Evaluation strategy | Proportion | Sn | Sp | ACC | MCC | AUROC |
---|---|---|---|---|---|---|
Training set validation | 0% | 0.800 | 0.819 | 0.809 | 0.620 | 0.885 |
25% | 0.853 | 0.839 | 0.846 | 0.695 | 0.932 | |
50% | 0.863 | 0.876 | 0.870 | 0.741 | 0.955 | |
75% | 0.904 | 0.904 | 0.904 | 0.810 | 0.963 | |
100% | 0.912 | 0.909 | 0.910 | 0.823 | 0.973 | |
Independent set validation | 0% | 0.852 | 0.822 | 0.824 | 0.454 | 0.924 |
25% | 0.833 | 0.861 | 0.858 | 0.497 | 0.931 | |
50% | 0.852 | 0.884 | 0.882 | 0.549 | 0.926 | |
75% | 0.833 | 0.899 | 0.893 | 0.566 | 0.921 | |
100% | 0.815 | 0.907 | 0.899 | 0.569 | 0.922 |