MLS-C01 · Question #371
MLS-C01 Question #371: Real Exam Question with Answer & Explanation
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Question
A machine learning (ML) engineer is creating a binary classification model. The ML engineer will use the model in a highly sensitive environment. There is no cost associated with missing a positive label. However, the cost of making a false positive inference is extremely high. What is the most important metric to optimize the model for in this scenario?
Options
- AAccuracy
- BPrecision
- CRecall
- DF1
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