Model generalization in machine learning is a crucial concept that refers to the ability of a trained model to perform well on new, unseen data. When a model generalizes well, it demonstrates an understanding of the underlying patterns in the training data, allowing it to make accurate predictions or classifications on previously unseen examples. Polynomial … Continue reading A comic guide to model generalization and overfitting