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Table 8 Performance of the three machine-learning classifiers on the TF & NonPF and TF & PPI datasets with additional negative examples for training using 5-fold cross-validation (GM = generic model; BM = biological model)

From: Identification of transcription factor contexts in literature using machine learning approaches

  

SVM

NB

ME

  

P

R

F

P

R

F

P

R

F

TF & NonPF

GM

.9592

.8967

.9269

.9472

.9708

.9588

.9700

.8863

.9263

 

BM

.9602

.9242

.9418

.9371

.9661

.9513

.9609

.9208

.9404

TF & PPI

GM

.8959

.9469

.9207

.8743

.9149

.8941

.8760

.9542

.9134

 

BM

.9103

.9379

.9239

.8891

.9119

.9004

.9058

.9506

.9277