K-fold divides datasets into training and testing and then splits training datasets into k-folds. It is used to avoid overfitting. Example: If K=5, it means, in the given dataset and we are splitting into 5 folds and running the Train and Test. Durin...

Markdown supported · ⌘↵ to post
No responses yet.