I am looking at this tutorial: https://www.dataquest.io/mission/74/getting-started-with-kaggle
I got to part 9, making predictions. In there there is some data in a
The procedure has a single parameter called k that refers to the number of groups that a given data sample is to be split into. As such, the procedure is often called k-fold cross-validation. When a specific value for k is chosen, it may be used in place of k in the reference to the model, such as k=10 becoming 10-fold cross-validation..
You can refer to this post for more information. https://medium.com/@xzz201920/stratifiedkfold-v-s-kfold-v-s-stratifiedshufflesplit-ffcae5bfdf