AWS Certified Machine Learning Engineer - Associate MLA-C01 — Topic 1 Question 163

Question

A company is using Amazon SageMaker AI to develop a credit risk assessment model. During model validation, the company finds that the model achieves 82% accuracy on the validation data. However, the model achieved 99% accuracy on the training data. The company needs to address the model accuracy issue before deployment. Which solution will meet this requirement?

Accepted Answer

Correct answer: B. The correct answer is B. Option B: Implement dropout layers. Use L1 or L2 regularization. Perform k-fold cross-validation.

AWS Certified Machine Learning Engineer - Associate MLA-C01 — Question 163