Cross validation quiz (All levels)

What is the primary purpose of cross-validation in machine learning?

What is the main disadvantage of using a very high ‘k’ value in k-fold cross-validation?  

Stratified k-fold cross-validation is particularly useful when:

In time series cross-validation, what is a critical aspect to maintain?

The primary difference between the validation set approach and cross-validation is:  

Which statement best describes k-fold cross-validation?

How are the final evaluation metrics reported when using cross-validation in machine learning?

What is nested cross-validation in the context of machine learning?

How is the final model built when using cross-validation in machine learning?

In which scenario is Leave-One-Out Cross-Validation (LOOCV) particularly useful?