A logistics company needs a forecast model to predict next month's inventory requirements for a single item in 10 warehouses. A machine learning specialist uses
Amazon Forecast to develop a forecast model from 3 years of monthly data. There is no missing data. The specialist selects the DeepAR+ algorithm to train a predictor. The predictor means absolute percentage error (MAPE) is much larger than the MAPE produced by the current human forecasters.
Which changes to the CreatePredictor API call could improve the MAPE? (Choose two.)

A. Set PerformAutoML to true.

B. Set ForecastHorizon to 4.

C. Set ForecastFrequency to W for weekly.

D. Set PerformHPO to true.

E. Set FeaturizationMethodName to filling.






 

Suggested Answer: CD

Community Answer: AD

Reference:
https://docs.aws.amazon.com/forecast/latest/dg/forecast.dg.pdf


This question is in MLS-C01 AWS Certified Machine Learning – Specialty Exam
For getting AWS Certified Machine Learning – Specialty Certificate


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