what is cross validation and variable cv . This has not been discussed yet and still being used in videos . please explain
Cross validation
hey @Par1hsharma ,
I guess Cross validation is explained or briefed in some videos , but still as if you can’t find .
So , Cross validation is a technique to understand the performance of our model on unseen test data.
We iteratively split our training data into train and test datasets, then train our model on this train subset and see how well it performs on test subset.
Most useful when we don’t have any test data with correct labels to confirm model performance.
This gives a level of confidence or understanding about our model on the given data.
I hope this helps a bit.
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