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Table 5 Performance of the three machine-learning classifiers on the FlyTF test data using both MeSH and GO TF data and part of the FlyTF data as positive training data (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

.9271

.8910

.9087

.9308

.9592

.9447

.9588

.8533

.9029

 

BM

.9455

.8925

.9182

.9527

.9450

.9488

.9770

.8655

.9109

TF & PPI

GM

1.000

.9183

.9574

1.000

.8879

.9406

1.000

.9124

.9541

 

BM

.9936

.8926

.9403

1.000

.8370

.9112

.9885

.8818

.9321