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Table 4 phishGILLNET1--classification performance

From: phishGILLNET—phishing detection methodology using probabilistic latent semantic analysis, AdaBoost, and co-training

Number of topics

Dataset combination1 (8 K public corpus)

Dataset combination2 (400 K public corpus)

 

FPR

Precision

F -measure

FPR

Precision

F -measure

2

0.02

0.977

0.975

0.025

0.971

0.970

10

0.00

0.983

0.983

0.014

0.976

0.976

25

0.00

0.983

0.983

0.010

0.977

0.977

50

0.00

0.983

0.983

0.009

0.981

0.980

100

0.00

0.983

0.983

0.004

0.981

0.981

200

0.00

0.983

0.983

0.001

0.981

0.981