Table 9.

Experimental results of MCC on KDD-Train⁺ dataset.

Classification Method	Accuracy %	TPR %	TNR %	Precision %	FPR %	FNR %	Recall %	False Alarm %	F1-Score %
SVM	84.171	87.148	85.656	78.417	17.477	12.878	83.659	81.442	86.005
LDA	82.814	85.701	81.774	74.814	18.657	13.557	82.447	79.477	86.201
RF	82.898	82.601	85.998	77.457	16.047	11.121	88.936	71.445	83.008
Naïve Bayes	86.771	84.457	82.045	75.478	17.107	14.877	85.223	77.502	85.968
CART	83.252	85.441	84.141	78.719	18.547	13.978	86.445	76.694	83.771
LR	80.124	83.278	80.117	75.961	15.623	11.451	80.978	71.457	80.584
ProposedHNIDS	88.149	88.661	87.996	82.867	11.714	10.414	90.447	70.101	83.478