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Table 11 Performance analysis of multilabel classification for CIC-IDS2017 dataset

From: Machine learning-based network intrusion detection for big and imbalanced data using oversampling, stacking feature embedding and feature extraction

ML

Accuracy

Precision

Recall

F1-score

All feature

Proposal

All feature

Proposal

All feature

Proposal

All feature

Proposal

DT

99.85

99.99

98.69

99.99

94.69

99.99

94.69

99.99

RF

99.89

99.99

98.98

99.99

94.17

99.99

94.17

99.99

ET

99.83

99.99

98.57

99.99

94.14

99.99

94.14

99.99

XGB

99.92

99.94

99.3

99.94

94.47

99.94

94.47

99.94