Answer Posted / Durgesh Kumar Maheshwari

Model performance is a broader term that encompasses various metrics such as accuracy, precision, recall, F1-score, etc. While accuracy can give a good indication of how well a model performs, it's important to consider other performance metrics as well, especially when dealing with imbalanced datasets. Therefore, it's more beneficial to focus on model performance instead of just model accuracy.

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