Amazon
MLS-C01 · Question #378
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 fo
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Exploratory Data Analysis
Question
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?
Options
- ATarget leakage occurred in the imported dataset.
- BThe data scientist did not fine-tune the training and validation split.
- CThe SageMaker Data Wrangler algorithm that the data scientist used did not find an optimal model
- DThe data scientist did not process the features enough to accurately calculate prediction power.
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Topics
#Target Leakage#Feature Engineering#SageMaker Data Wrangler#Data Quality