F-Score (F-Measure, F1 Measure)
The F-Score, also known as the F-Measure or F1 Score, is a statistical metric used to evaluate the accuracy of a test or model, particularly in binary classification. It balances precision and recall, providing a comprehensive view of model performance, especially in imbalanced datasets.
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