What is cross validation and what advantage does it give?
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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.
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