Answer Posted / Chakresh Kumar

The F1 score is a performance metric used in machine learning to evaluate binary classification models. It combines precision (the ratio of true positives to the sum of true positives and false positives) and recall (the ratio of true positives to the sum of true positives and false negatives). The F1 score ranges from 0 to 1, with higher values indicating better performance.

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