Model Selection, Reinforcement Learning, Deep Learning.
used during validation and testing phase of model training Concept Drift: The model may suffer from concept drift. Concept drift happens when the properties of dependent variable changes. For example, a model used for predicting if a user is going to do online shopping but trained on before COVID