Table 14. Classification performance based on the original CSE-CIC-IDS2018 dataset (Binary classification).

Classifier	Accuracy	Precision	Recall	F1-measure
Random forest	87.91%	88.76%	87.66%	88.20%
KNN	78.71%	76.61%	78.25%	77.42%
SVM	79.32%	78.19%	79.92%	79.04%
Decision tree	82.39%	81.21%	83.43%	82.30%
MLP	78.32%	79.43%	77.14%	78.26%
Ensemble	89.91%	89.82%	88.78%	89.29%