Machine Learning, Linear Regression, Ridge Regression, Lasso Regression, Genomics.
each unique group, the group is holding out as a test set while the remaining group is the training set. Then it fit the model on the training set, evaluate the score and discard the model. Once the groups are selected, they are not changed, meaning that each observation is used to train k-1