Mathematical Biology
Accuracy refers to the degree of closeness between a measured value and the true value or actual outcome. In the context of machine learning and artificial intelligence, accuracy is often used as a performance metric to evaluate how well a model predicts or classifies data, indicating the proportion of correct predictions made out of all predictions. High accuracy signifies that a model reliably identifies outcomes, while low accuracy suggests that it may not generalize well to new data.
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