MLA-C01 · Question #230
MLA-C01 Question #230: Real Exam Question with Answer & Explanation
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Question
An ML engineer is tuning an image classification model that shows poor performance on one of two available classes during prediction. Analysis reveals that the images whose class the model performed poorly on represent an extremely small fraction of the whole training dataset. The ML engineer must improve the model's performance. Which solution will meet this requirement?
Options
- AOptimize for accuracy. Use image augmentation on the less common images to generate new
- BOptimize for F1 score. Use image augmentation on the less common images to generate new
- COptimize for accuracy. Use Synthetic Minority Oversampling Technique (SMOTE) on the less
- DOptimize for F1 score. Use Synthetic Minority Oversampling Technique (SMOTE) on the less
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