09/25/2023

 

In this session, we discussed about k-fold cross-validation which comes under Cross Validation.

 

k-fold cross-validation which calculates about the performance of a Machine Learning Model performed on validation dataset.We need to select correct number of folding. It also tests whether they have strong correlation between them or not.

It takes much time on vast dataset.

As when we go for a greater number of folding’s obviously we require more computer power.

This will help to work out more well on smaller datasets.

Its aim is to validate the training data and testing data.

 

For implementing this in our data we need to find which would be appropriate and number of k folds