Topic 1 Question 351
A data scientist uses Amazon SageMaker Data Wrangler to obtain a feature summary from a dataset that the data scientist imported from Amazon S3. The data scientist notices that the prediction power for a dataset feature has a score of 1.
What is the cause of the score?
Target leakage occurred in the imported dataset.
The data scientist did not fine-tune the training and validation split.
The SageMaker Data Wrangler algorithm that the data scientist used did not find an optimal model fit for each feature to calculate the prediction power.
The data scientist did not process the features enough to accurately calculate prediction power.
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コメント(2)
- 正解だと思う選択肢: A
This is target leakage
👍 1GS_772024/09/07 - 正解だと思う選択肢: A
A prediction power score of 1 in Amazon SageMaker Data Wrangler indicates perfect predictive ability for that feature. This often suggests target leakage, meaning the feature is highly correlated with the target variable, possibly because it contains information that directly or indirectly reveals the target
👍 1MultiCloudIronMan2024/09/22
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