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

Algorithm 10

Consider a class or the whole dataset with n samples and (F) features.

	Inputs: Class_0: Minority Class, Class_1: Majority Class.
	Parameters: used to improve minority class Class_0.
(1)	Class_1_over: To get sample of Class_0 and to store in Class_1_over.
(2)	Test_over: To concatenate Class_0 and Class_1_over.