From: PredPhos: an ensemble framework for structure-based prediction of phosphorylation sites
 | AUC | Accuracy | Recall | Specificity | CC | F1 |
---|---|---|---|---|---|---|
CK2 | ||||||
 Optimal features | 0.877 | 0.963 | 0.433 | 0.992 | 0.433 | 0.429 |
 All features | 0.842 | 0.954 | 0.350 | 0.986 | 0.370 | 0.366 |
MAPK | ||||||
 Optimal features | 0.839 | 0.952 | 0.483 | 0.973 | 0.480 | 0.480 |
 All features | 0.833 | 0.959 | 0.400 | 0.985 | 0.424 | 0.423 |
PKA | ||||||
 Optimal features | 0.858 | 0.948 | 0.375 | 0.980 | 0.426 | 0.432 |
 All features | 0.846 | 0.926 | 0.335 | 0.959 | 0.279 | 0.310 |
PKC | ||||||
 Optimal features | 0.857 | 0.952 | 0.303 | 0.985 | 0.396 | 0.363 |
 All features | 0.821 | 0.948 | 0.226 | 0.984 | 0.282 | 0.274 |
SRC | ||||||
 Optimal features | 0.900 | 0.951 | 0.558 | 0.973 | 0.510 | 0.499 |
 All features | 0.890 | 0.946 | 0.241 | 0.985 | 0.317 | 0.294 |