Improving the Accuracy of Network Intrusion Detection with Causal Machine Learning

Table 13

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

Feature selection method	Accuracy under different types of cyberattacks (1, 9)
	1	9
Min-max	0.9435	0.8496
Min-max (do)	0.9455	0.8448
Percentage	1.002	0.9944