Machine Learning, Model Selection, Hyperparameter Tuning, Learning Curve, Cross Validation.
training set). We rather want an algorithm which generalizes well, and which does not fundamentally change if we use slightly different data for training [4]. We want a stable algorithm, since if our algorithm is not stable, generalization estimates are futile since we do not know what would happen