Answer / Prasanjeet Tyagi

Both model accuracy and model performance are essential for a machine learning model, but their importance can depend on the specific use case. Model accuracy refers to how well the model correctly predicts the desired output, while model performance encompasses various factors such as speed, scalability, robustness, and ease of interpretation. Generally speaking, a high-accuracy model with poor performance may not be useful in practical applications.

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