Table 8. Classification performance based on feature selection method for NSL-KDD dataset (13 features).

Classifier	Accuracy	Precision	Recall	F1-measure
Random forest	98.81%	97.70%	95.66%	96.67%
KNN	94.72%	95.61%	93.51%	94.53%
SVM	98.33%	96.11%	98.40%	97.23%
Decision tree	96.35%	95.11%	96.42%	95.74%
MLP	98.32%	97.43%	98.14%	97.78%
Ensemble	99.53%	99.79%	98.78%	99.29%