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MLS-C01 · Question #209
MLS-C01 Question #209: Real Exam Question with Answer & Explanation
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Modeling
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?
Options
- AThe coverage scores indicate that the distributional forecast is poorly calibrated. These
- BThe coverage scores indicate that the distributional forecast is poorly calibrated. These
- CThe coverage scores indicate that the distributional forecast is correctly calibrated. These
- DThe coverage scores indicate that the distributional forecast is correctly calibrated. These
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Topics
#Probabilistic Forecasting#Model Evaluation#Coverage Score#Model Calibration