Predictions, Lasso Regression, Model Averaging, Spline Regression, Crossvalidation.
way of working is repeated numerous times. Deciding when to stop selecting is crucial. Partitioning data into train, test, validate is one approach In some cases, you might not have sufficient data to do this. In these cases, cross validation is an attractive alternative for estimating prediction