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of multicollinearity and overfitting, which are common in high-dimensional datasets. This algorithm works by adding a penalty term to the standard least-squares objective function [7]. Elastic Net Regression was introduced by Zou and Hastie in 2005. It is a linear regression algorithm that adds two