Machine Learning, Model Selection, Hyperparameter Tuning, Learning Curve, Cross Validation.
complexity stronger and hence favors models which are “more wrong” but simpler. While this allows to do model selection without a validation set, it can be strictly applied only for models which are linear in their parameters, even though it typically also works in more general cases, e.g. for