AWS Certified Machine Learning Engineer – Associate (MLA-C01) — Question 77

A company has a binary classification model in production. An ML engineer needs to develop a new version of the model.
The new model version must maximize correct predictions of positive labels and negative labels. The ML engineer must use a metric to recalibrate the model to meet these requirements.
Which metric should the ML engineer use for the model recalibration?

Answer options

• A. Accuracy
• B. Precision
• C. Recall
• D. Specificity

Correct answer: A

Explanation

The correct answer is Accuracy because it measures the overall correctness of the model in predicting both positive and negative labels. While Precision, Recall, and Specificity focus on specific aspects of prediction performance, they do not provide a comprehensive measure of the model's overall accuracy in this binary classification context.