What does generalization mean in machine learning?

Correct answer: The ability to perform well on new, unseen data

Generalization is the ability of a machine-learning model to perform well on new data that was not used during training. It shows that the model has learned useful patterns rather than merely memorizing examples. Repeated training, memorization, or adding features alone does not define generalization.