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What does recall measure?

  1. A Of all actual positives, the proportion the model correctly identified
  2. B Of all predicted positives, the proportion that were correct
  3. C The overall proportion of correct predictions
  4. 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.

All Machine Learning MCQs

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