Question: What is the main purpose of using cross-validation in model evaluation?

Options:

1. To increase training time
2. To reduce overfitting
3. To improve model complexity
4. To enhance data size

Correct Answer: To reduce overfitting

Solution:

Cross-validation is used to reduce overfitting by ensuring that the model performs well on unseen data.