Advantage of cross-validation
What is the advantage of cross-validation over a single train/test split?
Answer the question
There is no advantage to cross-validation, just as there is no advantage to a single train/test split. You should be validating your models in-sample with a metric like adjusted \(R^2\).
You can pick the best test set to minimize the reported RMSE of your model.
It gives you multiple estimates of out-of-sample error, rather than a single estimate.
Take Hint (-15xp)