AWS Certified AI Practitioner (AIF-C01) — Question 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 classified correctly.
Which evaluation metric should the company use to measure the model's performance?

Answer options

• A. R-squared score
• B. Accuracy
• C. Root mean squared error (RMSE)
• D. Learning rate

Correct answer: B

Explanation

The correct answer is Accuracy, as it directly measures the proportion of true results among the total number of cases examined, which is essential for evaluating the performance of a classification model. R-squared is used for regression models, RMSE quantifies the average error in continuous predictions, and the learning rate is a hyperparameter that influences model training rather than performance measurement.