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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