Question: What is the purpose of regularization in regression models?

Options:

1. To increase the model complexity
2. To reduce the training time
3. To prevent overfitting by penalizing large coefficients
4. To improve the interpretability of the model

Correct Answer: To prevent overfitting by penalizing large coefficients

Solution:

Regularization is used in regression models to prevent overfitting by adding a penalty for large coefficients, thus simplifying the model.