Elastic Net Regression

Though the name suggests Regression, it's a regularization method for preventing Overfitting

[!def] Elastic Net Regression
$$
\begin{align*}
Loss &= loss_{prev} + L_1 + L_2 \\ > &= loss_{prev} + \lambda |slope| + \lambda slope^2
\end{align*}
$$

• It is a combination of both L1 or Lasso Regression and L2 or Ridge Regression