Decision Tree, Cart, Machine Learning.
the creation of the tree. All of the parameters need hyperparameter tuning and found using cross-validation and grid-search methods. It restricts the tree to a certain depth or a certain number of leaves. Post-pruning methods are mostly done after the tree is already formed. Cost complexity pruning