MLS-C01 · Question #392
A data scientist needs to develop a model to detect fraud. The data scientist has less data for fraudulent transactions than for legitimate transactions. The data scientist needs to check for bias in
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Question
A data scientist needs to develop a model to detect fraud. The data scientist has less data for fraudulent transactions than for legitimate transactions. The data scientist needs to check for bias in the model before finalizing the model. The data scientist needs to develop the model quickly. Which solution will meet these requirements with the LEAST operational overhead?
Options
- AProcess and reduce bias by using the synthetic minority oversampling technique (SMOTE) in
- BProcess and reduce bias by using the synthetic minority oversampling technique (SMOTE) in
- CProcess and reduce bias by using the synthetic minority oversampling technique (SMOTE) in
- DProcess and reduce bias by using an Amazon SageMaker Studio notebook. Use Amazon
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