AWS Certified Machine Learning - Specialty MLS-C01 — Topic 1 Question 183

Question

A data scientist is evaluating a GluonTS on Amazon SageMaker DeepAR model. The evaluation metrics on the test set indicate that the coverage score is 0.489 and 0.889 at the 0.5 and 0.9 quantiles, respectively. What can the data scientist reasonably conclude about the distributional forecast related to the test set?

Accepted Answer

Correct answer: D. The correct answer is D. Option D: The coverage scores indicate that the distributional forecast is correctly calibrated. These scores should be approximately equal to the quantile itself. Amazon Forecast produces time-series forecasts using machine learning.

AWS Certified Machine Learning - Specialty MLS-C01 — Question 183