AWS Certified Machine Learning Engineer – Associate (MLA-C01) — Question 17

An ML engineer needs to use an ML model to predict the price of apartments in a specific location.
Which metric should the ML engineer use to evaluate the model's performance?

Answer options

• A. Accuracy
• B. Area Under the ROC Curve (AUC)
• C. F1 score
• D. Mean absolute error (MAE)

Correct answer: D

Explanation

The Mean absolute error (MAE) is the best choice for evaluating the model's performance in predicting apartment prices as it measures the average magnitude of errors in a set of predictions, without considering their direction. The other options, such as Accuracy, AUC, and F1 score, are more suited for classification tasks rather than regression tasks like price prediction.