Overview
Recall answers the question: 'Of all the actual positive instances that exist, how many did the model correctly identify?' It is also known as 'Sensitivity' or 'True Positive Rate.'
Formula
Recall = True Positives (TP) / (True Positives (TP) + False Negatives (FN))
Use Case
Recall is critical when the cost of a 'False Negative' is high, such as in cancer screening (you don't want to miss a single case) or fraud detection.