QuestionQ95

AI Auditing Tools and Techniques

When using a machine learning (ML) model to predict whether a wind-turbine electricity generator will fail, which model-evaluation metric should receive the PRIMARY focus?

Explanation

Recall measures how completely a classifier identifies actual positive cases. For generator-failure prediction, emphasizing recall reduces false negatives—failures the model fails to flag—so maintenance can be initiated before an unpredicted failure occurs.

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