Question

What is cross validation and what advantage does it give?

Answer 1

Answer:

Cross-validation, sometimes called rotation estimation or out-of-sample testing, is any of various similar model validation techniques for assessing how the results of a statistical analysis will generalize to an independent data set.

Explanation:

advantages :-

Use All Your Data. When we have very little data, splitting it into training and test set might leave us with a very small test set. ...

Get More Metrics. ...

Use Models Stacking. ...

Work with Dependent/Grouped Data. ...

Parameters Fine-Tuning.

PLZZ MARK IT AS BRAINLIEST! !

Hope it HELPS YOu