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Exam AWS Certified Machine Learning - Specialty All Questions

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Exam AWS Certified Machine Learning - Specialty topic 1 question 275 discussion

A data scientist for a medical diagnostic testing company has developed a machine learning (ML) model to identify patients who have a specific disease. The dataset that the scientist used to train the model is imbalanced. The dataset contains a large number of healthy patients and only a small number of patients who have the disease. The model should consider that patients who are incorrectly identified as positive for the disease will increase costs for the company.

Which metric will MOST accurately evaluate the performance of this model?

  • A. Recall
  • B. F1 score
  • C. Accuracy
  • D. Precision
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Suggested Answer: D 🗳️

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vkbajoria
7 months, 1 week ago
Selected Answer: D
reduce the false positive so Precision
upvoted 1 times
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loict
1 year, 1 month ago
Selected Answer: D
A. NO - Recall=TP / (TP+FN) measures how well we capture the postives () B. NO - F1 score balances recall & precision C. NO - Accuracy=(TP+TN) / Total only measures TP, which can be misleading if there class imbalance D. YES - Precision=TP / (TP+FP) gets a penalty for FP
upvoted 1 times
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kaike_reis
1 year, 2 months ago
Selected Answer: D
We want to give more weight to the “FP” error, so we need to keep an eye on Letter D: Precision. Letter D is correct. F1-Score gives the same weight for Recall and Precision, so it's wrong (given the question statement)
upvoted 2 times
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Mickey321
1 year, 3 months ago
Selected Answer: D
Changing to "D"
upvoted 1 times
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Mickey321
1 year, 3 months ago
Selected Answer: B
As F1 score takes precision and recall into account.
upvoted 1 times
Mickey321
1 year, 2 months ago
Changed to D
upvoted 1 times
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gusta_dantas
1 year, 3 months ago
Selected Answer: D
D! "The model should consider that patients who are incorrectly identified as positive for the disease will increase costs for the company.", it means that FP (False Positives) are worse than FN (False Negatives), which means that we must increase Precision for this case.
upvoted 1 times
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ADVIT
1 year, 3 months ago
Selected Answer: D
It's D - Precision.
upvoted 1 times
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