Machine Learning, Model Selection, Hyperparameter Tuning, Learning Curve, Cross Validation.
set based on CV using the full training set and estimate the generalization error using the test set. Lastly, we retrain the model using the combined data of training and test set. Fig. 3: Illustration of 5x2 nested cross-validation. The intricate business of nested cross-validation Why do we do