An Intrusion Detection Method Based on Decision Tree-Recursive Feature Elimination in Ensemble Learning

Algorithm 1

The DT-RFE algorithm.

	Input: Training sample set
(1)	Initialize original feature set and feature ordering set [].
(2)	fordo
(3)	The Decision Tree classifier is trained, and the feature selection of single variable by F-test (ANOVA) is obtained.
(4)	Calculate ranking criterion score
(5)	Find the feature with the lowest ranking score
(6)	Update feature set R = [p, R)
(7)	Remove other features in S: S = S/p
(8)	until s = [ ]
(9)	end for
	output: Feature sort set R