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Exam AWS Certified Machine Learning Engineer - Associate MLA-C01 All Questions

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Exam AWS Certified Machine Learning Engineer - Associate MLA-C01 topic 1 question 44 discussion

An ML engineer is evaluating several ML models and must choose one model to use in production. The cost of false negative predictions by the models is much higher than the cost of false positive predictions.
Which metric finding should the ML engineer prioritize the MOST when choosing the model?

  • A. Low precision
  • B. High precision
  • C. Low recall
  • D. High recall
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Suggested Answer: D 🗳️

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Saransundar
1 month ago
Selected Answer: D
A. Low precision: Increases false positives; less relevant here. B. High precision: Reduces false positives; not the priority. C. Low recall: Increases false negatives; must be avoided. D. High recall: Correct; minimizes false negatives.
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GiorgioGss
1 month, 1 week ago
Selected Answer: D
https://docs.aws.amazon.com/comprehend/latest/dg/cer-doc-class.html "High recall means that the classifier returned most of the relevant results."
upvoted 1 times
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