AWS Certified Machine Learning - Specialty MLS-C01 — Topic 1 Question 347

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?

Accepted Answer

Correct answer: B. The correct answer is B. Option B: Use an Amazon SageMaker Data Wrangler quick model visualization to find feature importance scores that are between 0.5 and 1. Amazon SageMaker builds, trains and deploys machine learning models in a fully managed service.

AWS Certified Machine Learning - Specialty MLS-C01 — Question 347