Microsoft Azure AI Fundamentals - AI-900
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Select the appropriate metric for evaluating a classification model performance:
Select the appropriate metric for evaluating a classification model performance:
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Explanation:
The correct answer is A: True Positive Rate. For classification models, the True Positive Rate (also known as recall or sensitivity) is used to evaluate how well the model identifies positive instances. Mean Absolute Error (MAE), Coefficient of Determination (R^2), and Root Mean Squared Error (RMSE) are metrics typically used to evaluate regression models, not classification models.