PROFESSIONAL-MACHINE-LEARNING-ENGINEER · Question #27
PROFESSIONAL-MACHINE-LEARNING-ENGINEER Question #27: Real Exam Question with Answer & Explanation
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Question
You work for a credit card company and have been asked to create a custom fraud detection model based on historical data using AutoML Tables. You need to prioritize detection of fraudulent transactions while minimizing false positives. Which optimization objective should you use when training the model?
Options
- AAn optimization objective that minimizes Log loss
- BAn optimization objective that maximizes the Precision at a Recall value of 0.50
- CAn optimization objective that maximizes the area under the precision-recall curve (AUC PR)
- DAn optimization objective that maximizes the area under the receiver operating characteristic
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