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Table 11 Performance comparison--binary classification

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

Method

F-measure (%)

Rank

phishGILLNET3

100.00

1

Bergholz et al. [17]

99.89

2

phishGILLNET2

99.70

3

Bergholz et al. [16]

99.46

4

Khonji et al. [20]

99.396

5

Toolan and Carthy [19]

99.31

6

phishGILLNET1

98.10

7

PILFER [10]

97.64

8

SVM with feature selection (Table 5)

95.90

9

Abu-Nimeh et al. [11]

90.24

10

Abu-Nimeh et al. [12]

NA

-

Gansterer and Pölz [15]

NA

-

Al-Momani et al. [21]

NA

-