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Accuracy refers to the degree to which a measurement, prediction, or model output aligns with the actual or true value. In predictive analytics and machine learning, accuracy is a critical metric used to evaluate the performance of algorithms in making predictions, indicating how often the predicted values match the actual outcomes. It connects to various aspects such as precision, recall, and overall effectiveness in data-driven decision-making.
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