Machine Learning, Model Selection, Hyperparameter Tuning, Learning Curve, Cross Validation.
model fitting. In contrast, model parameters are parameters which arise as a result of the fit [1]. In a logistic regression model, for example, the regularization strength (as well as the regularization type, if any) is a hyperparameter which has to be specified prior to the fitting, while the