Q: 14
[Modeling]
A company that manufactures mobile devices wants to determine and calibrate the appropriate sales
price for its devices. The company is collecting the relevant data and is determining data features
that it can use to train machine learning (ML) models. There are more than 1,000 features, and the
company wants to determine the primary features that contribute to the sales price.
Which techniques should the company use for feature selection? (Choose three.)
Options
Discussion
B D, and E are right if they're specifically asking about feature selection techniques. But if the question meant features to help normalize or preprocess data instead of just select important ones, then A might be in play too. Does the question require picking the most useful for selection specifically or is it about general prep for ML?
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