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MLS-C01 · Question #374
MLS-C01 Question #374: Real Exam Question with Answer & Explanation
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Exploratory Data Analysis
Question
A company needs to develop a model that uses a machine learning (ML) model for risk analysis. An ML engineer needs to evaluate the contribution each feature of a training dataset makes to the prediction of the target variable before the ML engineer selects features. How should the ML engineer predict the contribution of each feature?
Options
- AUse the Amazon SageMaker Data Wrangler multicollinearity measurement features and the
- BUse an Amazon SageMaker Data Wrangler quick model visualization to find feature importance
- CUse the Amazon SageMaker Data Wrangler bias report to identify potential biases in the data
- DUse an Amazon SageMaker Data Wrangler data flow to create and modify a data preparation
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Topics
#Feature Importance#Amazon SageMaker Data Wrangler#Exploratory Data Analysis#Feature Selection