Network Intrusion Anomaly Detection Model Based on Multiclassifier Fusion Technology

Algorithm 1

Majority voting

	Input: the results set predicted by each base classifiers Y;
	Output: final prediction result C;
(1)	a [2] ← {0, 0};
(2)	for y in Y do
(3)	a [y] ← a [y] + 1;
(4)	end for
(5)	C ← argmax (a)
(6)	return C