Question: What is the purpose of cross-validation?

Options:

1. To increase the size of the training dataset
2. To assess how the results of a statistical analysis will generalize to an independent dataset
3. To reduce the complexity of the model
4. To improve the interpretability of the model

Correct Answer: To assess how the results of a statistical analysis will generalize to an independent dataset

Solution:

Cross-validation is used to assess how the results of a statistical analysis will generalize to an independent dataset by partitioning the data.