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Table 1 Performance of the two-step feature selection method

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