[Retracted] Research on Boruta-ET-Based Anomalous Traffic Detection Model

Table 7

Comparison of the accuracy of the model proposed in this study with other algorithms.

Author	Method	Acc (%)
Ahmim et al. [15]	Rep + RF	96.67
Wang [16]	PCA + SVM	92.91
Ustebay et al. [17]	AutoEncoder + DNN	96.71
Di and Li [18]	SVM + DBN	92.56
Zhang et al. [19]	Confidence + DNN	93.80
Other comparison algorithms in this article	NB	86.24
	LGBM	82.09
	DT	98.87
	Xgboost	95.58
	RF	96.44
	DNN	92.02
The method proposed in this article	Boruta-ET	99.80