Answer / Yashdeep Rajak

In an ideal scenario, both model accuracy and model performance are crucial. Accuracy represents the proportion of correct predictions out of all provided data points, while performance encompasses other aspects such as speed, robustness, and adaptability. Balancing these factors is essential for creating a high-quality machine learning model.

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