Forecast evaluation for data scientists: common pitfalls and best practices
Crossref DOI link: https://doi.org/10.1007/s10618-022-00894-5
Published Online: 2022-12-02
Published Print: 2023-03
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Hewamalage, Hansika
Ackermann, Klaus
Bergmeir, Christoph http://orcid.org/0000-0002-3665-9021
Funding for this research was provided by:
Monash University
Facebook
Australian Research Council (DE190100045)
Text and Data Mining valid from 2022-12-02
Version of Record valid from 2022-12-02
Article History
Received: 4 April 2022
Accepted: 7 November 2022
First Online: 2 December 2022