Microsoft Azure AI Fundamentals — Question 27

Which metric can you use to evaluate a classification model?

Answer options

• A. true positive rate
• B. mean absolute error (MAE)
• C. coefficient of determination (R2)
• D. root mean squared error (RMSE)

Correct answer: A

Explanation

The true positive rate is specifically used to evaluate classification models by measuring the proportion of actual positives that are correctly identified. The other options, such as mean absolute error, coefficient of determination, and root mean squared error, are metrics used for regression models, not classification.