What is regularization in classification models?
Updated May 15, 2026
Short answer
Regularization prevents overfitting by penalizing model complexity.
Deep explanation
L1 (Lasso) and L2 (Ridge) regularization constrain model weights to improve generalization.
Real-world example
Used in spam detection to avoid overfitting to specific words.
Common mistakes
- Over-regularizing and underfitting the model.
Follow-up questions
- What is L1 vs L2 regularization?