Elastic Net is a regularized regression technique that combines the properties of both Lasso (L1) and Ridge (L2) regression methods. It is particularly useful when dealing with datasets with a large number of features, some of which may be highly correlated. The method aims to enhance the prediction accuracy and interpretability of the statistical model.
