Q83 — AWS AIF-C01 Ch.1

Question 83 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 classified. Which evaluation metric should the company use to measure model performance?

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

Correct Answer: B. Accuracy

Explanation

This question tests knowledge of model evaluation metrics. For image classification tasks, accuracy directly measures the proportion of correctly classified images. R-squared is commonly used for regression problems; RMSE is also primarily used for regression model evaluation; and learning rate is a training hyperparameter—not an evaluation metric. Therefore, accuracy (Option B) is the appropriate metric to assess this image classification model's performance.