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Table 6 Performance Metrics of the Model for UNSW_NB15 Dataset using lr = 0.1

From: Conceptualisation of Cyberattack prediction with deep learning

Metrics

Normal

Analysis

Back Door

DoS

Exploits

Fuzzers

Generic

Recon

Shell code

Worms

ACC

89.46

81.68

98.71

91.41

85.10

90.76

98.78

96.94

99.29

99.92

PR

99.18

82.02

99.97

99.79

96.41

93.74

99.82

99.21

99.87

100.0

RR

93.69

99.79

98.74

91.60

89.91

97.69

99.32

97.87

99.42

99.93

F1

96.36

90.03

99.35

95.52

93.05

95.67

99.57

98.54

99.64

99.96

E

0.00818

0.16261

0.00025

0.00206

0.03526

0.06058

0.00181

0.00788

0.00130

0.00005