Q39 — AWS AIF-C01 Ch.1

Question 39 of 100 | ← Chapter 1

A company has built an image classification model to predict plant diseases from photos of plant leaves. The company wants to evaluate how many images the model correctly classifies. Which evaluation metric should the company use to measure model performance?

• A. R-squared score
• B. Accuracy ✓
• C. Root Mean Squared Error (RMSE)
• D. Learning rate

Correct Answer: B. Accuracy

Explanation

This question tests knowledge of ML evaluation metrics. For image classification tasks, accuracy—the proportion of correctly classified samples among all samples—is the standard metric. R-squared and RMSE are regression metrics, while learning rate is a training hyperparameter unrelated to performance evaluation. Thus, option B (Accuracy) is the appropriate choice.