Cross-validation (k-fold)

Also written: k-fold cross-validation, cross-validated, KFold, folds

A way to compare models using only the training rows: split them into k folds, fit on k−1, measure error on the fold left out, repeat for each fold and average. It estimates prediction error without touching the test set.