Topic 1 Question 359
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?
Normalize the problematic features.
Bootstrap the problematic features.
Remove the problematic features.
Extrapolate synthetic features.
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- 正解だと思う選択肢: A
Definitely A
👍 1MultiCloudIronMan2024/10/30 - 正解だと思う選択肢: A
This approach leverages the strengths of DeepAR to provide accurate and efficient sales predictions for the company's diverse product range.
👍 1MultiCloudIronMan2024/10/30
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