An Adaptive Heterogeneous Online Learning Ensemble Classifier for Nonstationary Environments

Algorithm 3

Passive handle drift.

	Input:: Set of accurate and diverse learners
	: Ensemble size of dynamic learners
(1)	Learners  bestlearner {, m}
(2)	initialised learners
(3)
(4)	If is wrong
(5)	Compute accuracy and diversity of
(6)	Train new classifier with new data chunk N
(7)	//add classifier to dynamic pool
(8)	M = m + 1
(9)	Discard classifier with least diversity measure
(10)	End for
(11)	End if