Machine Learning, Model Selection, Hyperparameter Tuning, Learning Curve, Cross Validation.
or 5x3. We use the best hyperparameter set for each algorithm to estimate its validation score on the hold-out fold. Then we compute the mean validation score (as well as standard deviation) over the K folds and select the best performing algorithm Subsequently, we choose the best hyperparameter