Amazon Exam MLS-C01 Topic 9 Question 36 Discussion

Actual exam question for Amazon's MLS-C01 exam

Question #: 36
Topic #: 9

A Machine Learning Specialist is working for a credit card processing company and receives an unbalanced dataset containing credit card transactions. It contains 99,000 valid transactions and 1,000 fraudulent transactions The Specialist is asked to score a model that was run against the dataset The Specialist has been advised that identifying valid transactions is equally as important as identifying fraudulent transactions

What metric is BEST suited to score the model?

APrecision

BRecall

CArea Under the ROC Curve (AUC)

DRoot Mean Square Error (RMSE)

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Suggested Answer: A

by Rima at May 03, 2022, 07:45 PM

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