What is Elastic Net Regression?
Updated May 16, 2026
Short answer
Elastic Net combines L1 and L2 regularization.
Deep explanation
It balances ridge and lasso penalties, addressing limitations of both, especially when features are highly correlated.
Real-world example
Used in recommendation systems with correlated user features.
Common mistakes
- Improper tuning of l1_ratio.
Follow-up questions
- When is Elastic Net better than Lasso?
- What does l1_ratio control?