Diabetes Mellitus Disease Prediction Using Machine Learning Classifiers with Oversampling and Feature Augmentation

Algorithm 3

Feature selection based on correlation.

	Invalue: n-dimensional data (original), X1 ϵ R1n and expected outvalue, Y1T ∈ R1
	Outvalue: k-dimensional data (reduced), Y1 ϵ Rk1
(1)	for i ≤ n do
(2)
(3)	Sort the correlation in a descending order and choose first k1 features for Y1 ϵ R1k1.