Recall (Sensitivity)
AI/ML Fundamentals
Of actual positives, how many did we find
What is Recall (Sensitivity)?
Recall = True Positives / (True Positives + False Negatives). Answers "Of all actual positives, how many did we catch?"
Real-World Examples
- •Cancer screening: finds 98% of actual cancer cases
- •Fraud detection catching most fraud
When to Use This
When false negatives are costly (e.g., missing disease diagnosis)
Related Terms
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