Question: What is the main advantage of using cross-validation?

Options:

1. It increases the training dataset size
2. It helps in hyperparameter tuning
3. It provides a more reliable estimate of model performance
4. It reduces overfitting

Correct Answer: It provides a more reliable estimate of model performance

Solution:

Cross-validation provides a more reliable estimate of model performance by using different subsets of the data for training and validation.