MLS-C01 · Question #386
MLS-C01 Question #386: Real Exam Question with Answer & Explanation
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Question
A machine learning (ML) engineer is preparing a dataset for a classification model. The ML engineer notices that some continuous numeric features have a significantly greater value than most other features. A business expert explains that the features are independently informative and that the dataset is representative of the target distribution. After training, the model's inferences accuracy is lower than expected. Which preprocessing technique will result in the GREATEST increase of the model's inference accuracy?
Options
- ANormalize the problematic features.
- BBootstrap the problematic features.
- CRemove the problematic features.
- DExtrapolate synthetic features.
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