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

Algorithm 4

K-nearest neighbor (KNN).

	Invalue: Value that is n-dimensional, X1 ϵ R1n1 and outvalue (target), Y1 ϵ R1
	Outvalue: The pp, P1 ∈ [0, 1] of test data (unseen), x,
	, C1 = 2 (diabetes present (C1) or not (C2))
(1)	The geometric distances are calculated,
	D1h1 for k1 query points, where X1i1 = current instance, x1i1 = query instance, q1 = order
(2)	Establish set S1 with k1 points (closest)
(3)	Estimate the pp, P1 for each class
	f 1(x1) is the function to class assignment.
	pp means posterior probability.