Improving the Accuracy of Network Intrusion Detection with Causal Machine Learning

Table 12

Comparison of accuracy between CFS and CRFS in the UNSW-NB15 dataset.

Feature selection method	Accuracy under different types of cyberattacks (1, 9)
	1	9
KNN-CFS	0.9213	0.7869
KNN-CFS (do)	0.9213	0.7326
Percentage	1	0.931