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Table 17 Class-wise F1-score comparison between FS and FE in multiclass classification

From: Optimizing IoT intrusion detection system: feature selection versus feature extraction in machine learning

Class

Feature selection

Feature extraction

Number of features

Number of features

9

22

33

47

77

9

22

33

47

77

Backdoor

0.61

0.61

0.61

0.61

0.61

0.61

0.62

0.62

0.61

0.61

ddos

0.71

0.71

0.85

0.86

0.86

0.85

0.85

0.87

0.86

0.86

dos

0.00

0.08

0.08

0.09

0.09

0.00

0.18

0.17

0.09

0.09

Injection

0.00

0.06

0.03

0.08

0.06

0.02

0.06

0.06

0.06

0.06

mitm

0.00

0.00

0.00

0.00

0.00

0.05

0.29

0.28

0.00

0.00

Normal

0.86

0.86

0.89

0.89

0.89

0.89

0.89

0.89

0.89

0.89

Password

0.00

0.10

0.10

0.10

0.10

0.09

0.10

0.10

0.10

0.10

Ransomware

0.13

0.16

0.16

0.16

0.16

0.16

0.16

0.16

0.16

0.16

Scanning

0.00

0.00

0.69

0.70

0.70

0.70

0.72

0.72

0.70

0.70

xss

0.62

0.67

0.68

0.68

0.68

0.67

0.63

0.70

0.68

0.68

Average

0.29

0.33

0.41

0.45

0.42

0.41

0.45

0.46

0.42

0.42