Answer Posted / Awanish Kumar

Both model accuracy and model performance are important, but they serve different purposes. Model accuracy refers to how well a model performs on the training data (i.e., low error rate). Model performance, on the other hand, assesses the generalization ability of the model to unseen data (i.e., high accuracy on both training and test sets).

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