Model accuracy refers to the degree to which a mathematical model or algorithm's predictions align with the actual observed data. High model accuracy indicates that the model can effectively represent real-world phenomena and make reliable predictions, which is crucial for ensuring that iterative methods converge to the correct solution.
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