Table 11 Comparison of proposed work with existing works.

From: A hybrid super learner ensemble for phishing detection on mobile devices

Reference

Recall (%)

TNR (%)

Precision (%)

F1-Score

Accuracy (%)

Bahnsen et al.43

96.18

95.67

96.81

96.49

95.96

Sahingoz et al.34

99.00

96.92

97.00

98.00

97.98

Patgiri et al.58

84.76

88.94

84.99

84.87

87.16

Rao et al.37

97.31

97.28

97.99

97.65

97.30

Proposed work

98.98

98.85

99.15

99.07

98.93

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