Machine Learning, Model Selection, Hyperparameter Tuning, Learning Curve, Cross Validation.
aside one time. For each learning method we then perform K’-fold CV (following the procedure above) on the K-1 remaining folds, in which we do we do hyperparameter selection. For brevity, one denotes nested CV with K outer folds and K’ inner folds as KxK’ nested CV. Typical values for KxK’ are 5x2