What does recall measure?
- A Of all actual positives, the proportion the model correctly identified
- B Of all predicted positives, the proportion that were correct
- C The overall proportion of correct predictions
- D The model's training speed
Answer
Of all actual positives, the proportion the model correctly identified
Recall matters most when misses are costly, such as a missed disease diagnosis. Precision matters when false alarms are costly.





