Why use Elastic Net?

Question: Why might Elastic Net be preferred over pure Lasso? A) It removes regularization entirely B) It combines L1 and L2 penalties, helping with sparsity while handling correlated features better C) It works only for neural networks D) It prevents coefficients from shrinking Correct: B Explanation: Elastic Net combines L1 and L2 regularization. L1 helps with sparsity, while L2 stabilizes coefficient estimates, especially when features are highly correlated. Topic: advanced ML / regularization / Elastic Net