Smart Detection: An Online Approach for DoS/DDoS Attack Detection Using Machine Learning

Table 5

10-fold cross-validation results using the variables selected by the proposed algorithm.

#	MLA	No. of features	Accuracy
1	RF	20	0.999363
2	DTree	20	0.999011
3	Perceptron	20	0.996000
4	SGD	20	0.986989
5	LR	20	0.982704
6	AdaBoost	20	0.956512