Recall

Recall measures how well a model identifies all the actual positive cases. It answers the question: "Of all the actual positive instances, how many did the model correctly predict as positive?". A high recall means the model is good at minimizing false negatives. The formula for recall is: Recall = True Positives / (True Positives + False Negatives).

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• @article@Recall | scikit-learn