Amazon
MLA-C01 · Question #111
An ML engineer needs to use metrics to assess the quality of a time-series forecasting model. Which metrics apply to this model? (Choose two.)
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ML Model Development
Question
An ML engineer needs to use metrics to assess the quality of a time-series forecasting model. Which metrics apply to this model? (Choose two.)
Options
- ARecall
- BLogLoss
- CRoot mean square error (RMSE)
- DInferenceLatency
- EAverage weighted quantile loss (wQL)
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Topics
#Time series forecasting#Evaluation metrics#Regression metrics#Quantile loss