Question
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?
- A. R-squared score
- B. Accuracy Correct
- C. Root mean squared error (RMSE)
- D. Learning rate
Explanation
Accuracy is the correct metric for evaluating how many images were classified correctly by a model, as it measures the proportion of true results among the total number of cases processed. This makes it suitable for classification tasks like image classification.
