Machine Learning, Model Selection, Hyperparameter Tuning, Learning Curve, Cross Validation.
different meanings, corresponding to different levels of abstraction. For one thing, we might be interested in selecting the best hyperparameters for a selected machine learning method. Hyperparameters are the parameters of the learning method itself which we have to specify a priori, i.e., before