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Table 9 Performance evaluation for test set

From: Detection and prevention of SQLI attacks and developing compressive framework using machine learning and hybrid techniques

No

Techniques

Evaluation Metrics

Precision

Recall

F1-score

Test set accuracy

Testing time (in msec.)

 

NB

87.53%

86.37%

86.95%

87.20%

01.73

 

DT

91.72%

90.84%

91.28%

94.80%

06.87

 

SVM

96.40%

95.61%

96.00%

97.30%

03.8

 

RF

94.35%

93.06%

93.70%

93.40%

05.19

 

ANN

98.87%

99.13%

99.00%

98.70%

11.76

 

Hybrid

99.20%

99.47%

99.33%

99.40%

15.33