AWS Certified Machine Learning - Specialty MLS-C01 — Topic 1 Question 315

Question

A machine learning (ML) specialist needs to solve a binary classification problem for a marketing dataset. The ML specialist must maximize the Area Under the ROC Curve (AUC) of the algorithm by training an XGBoost algorithm. The ML specialist must find values for the eta, alpha, min_child_weight, and max_depth hyperparameters that will generate the most accurate model. Which approach will meet these requirements with the LEAST operational overhead?

Accepted Answer

Correct answer: C. The correct answer is C. Option C: Use Amazon SageMaker automatic model tuning (AMT). Specify a range of values for each hyperparameter. Amazon SageMaker builds, trains and deploys machine learning models in a fully managed service.

AWS Certified Machine Learning - Specialty MLS-C01 — Question 315