Question: What is the main goal of using cross-validation in model selection?

Options:

1. To increase the size of the training set
2. To reduce overfitting and assess model performance
3. To improve feature engineering
4. To select hyperparameters

Correct Answer: To reduce overfitting and assess model performance

Solution:

Cross-validation helps reduce overfitting and provides a better assessment of model performance.