Topic 1 Question 4
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?
R-squared score
Accuracy
Root mean squared error (RMSE)
Learning rate
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コメント(6)
Accuracy is the most straightforward metric, measuring the proportion of correctly predicted instances out of the total instances. It is suitable when the classes are balanced (but can be misleading for imbalanced datasets).
👍 5galliaj2024/11/01- 👍 4modatruhio2024/11/12
- 正解だと思う選択肢: B
Accuracy for sure
👍 3jove2024/11/05
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