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</html><description>Description: F1 score is a measure that combines the precision and recall of a classification model, providing a single value that reflects the balance between both metrics. Precision refers to the proportion of true positives over the total predicted positives, while recall measures the proportion of true positives over the total actual positives. The F1 [&hellip;]</description></oembed>
