Machine Learning, Model Selection, Hyperparameter Tuning, Learning Curve, Cross Validation.
compared to the previous procedure is the way we use the training set. Have your cake and eat it too: cross-validation for hyperparameter selection For hyperparameter selection, we can use K-fold cross-validation (CV). Cross-validation works as follows: We split the training set into K smaller