Machine Learning, Model Selection, Hyperparameter Tuning, Learning Curve, Cross Validation.
is plotted as a function of the training set size. Fig. 1 shows a typical learning curve: The training score (performance on the training set) decreases with increasing training set size while the validation score increases at the same time. High training score and low validation score at the same