Programming for Mathematical Applications
Accuracy refers to the degree to which a measured or calculated value conforms to the true or accepted value. In both numerical integration and machine learning, accuracy is crucial for evaluating the reliability of results, ensuring that methods produce outcomes that closely match expected values or patterns. Understanding accuracy helps in refining techniques and improving results, as it informs how closely models or computations reflect reality.
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