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

Options:

1. To increase the training dataset size
2. To reduce overfitting and ensure model generalization
3. To improve model accuracy
4. To select the best hyperparameters

Correct Answer: To reduce overfitting and ensure model generalization

Solution:

Cross-validation is used to reduce overfitting and ensure that the model generalizes well to unseen data.