This lecture covers the interpretation of cross-validation risk estimates, the process of building a final predictor from cross-validation results, the use of separate test sets, and the concept of nested cross-validation to prevent overfitting. It also includes practical advice on choosing the number of folds in cross-validation and the importance of keeping a test set for final evaluation.