From: PDRLGB: precise DNA-binding residue prediction using a light gradient boosting machine
Dataset | Methods | ACC | SN | SP | ST | PRE | F1 | MCC | AUC |
---|---|---|---|---|---|---|---|---|---|
PDNA-62 | SVM | 0.817 | 0.745 | 0.829 | 0.787 | 0.433 | 0.547 | 0.468 | 0.873 |
 | Adaboost | 0.814 | 0.791 | 0.818 | 0.804 | 0.431 | 0.558 | 0.485 | 0.881 |
 | RF | 0.817 | 0.782 | 0.822 | 0.802 | 0.435 | 0.559 | 0.486 | 0.883 |
 | LightGBM | 0.815 | 0.863 | 0.806 | 0.835 | 0.438 | 0.581 | 0.523 | 0.912 |
PDNA-224 | SVM | 0.786 | 0.765 | 0.776 | 0.771 | 0.194 | 0.310 | 0.306 | 0.847 |
 | Adaboost | 0.773 | 0.761 | 0.774 | 0.768 | 0.192 | 0.307 | 0.320 | 0.851 |
 | RF | 0.814 | 0.750 | 0.819 | 0.784 | 0.226 | 0.347 | 0.351 | 0.864 |
 | LightGBM | 0.800 | 0.833 | 0.797 | 0.815 | 0.224 | 0.353 | 0.383 | 0.896 |