Table 15. Classification performance based on the feature selection method on CSE-CIC-IDS2018 (15 features).

Classifier	Accuracy	Precision	Recall	F1-measure
Random forest	98.91%	97.81%	96.69%	97.24%
KNN	95.72%	96.63%	94.15%	95. 73%
SVM	97.53%	95.15%	96.14%	95.64%
Decision tree	97.53%	96.21%	95.24%	95.72%
MLP	97.23%	96.34%	97.41%	96. 87%
Ensemble	99.9%	99.9%	99.89%	99.89%