Machine Learning, Model Selection, Hyperparameter Tuning, Learning Curve, Cross Validation.
More Thing”: model evaluation Before diving into the details of different approaches to model selection, and when to use them, there is “one more thing” we need to discuss: model evaluation. Model evaluation aims at estimating the generalization error of the selected model, i.e., how well the