Repeated time-series cross-validation: A new method to improved COVID-19 forecast accuracy in Malaysia

Repeated time-series cross-validation: A new method to improved COVID-19 forecast accuracy in Malaysia

Forecasting COVID-19 cases is challenging, and inaccurate forecast values will lead to poor decision-making by the authorities. Conversely, accurate forecasts aid Malaysian government authorities and agencies (National Security Council, Ministry of Health, Ministry of Finance, Ministry of Education,...

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Bibliographic Details
Main Authors: Azlan, Abdul Aziz, Marina, Yusof, Wan Fairos, Wan Yaacob, Zuriani, Mustaffa
Format: Article
Language:English
Published: Elsevier B.V. 2024
Subjects:
QA75 Electronic computers. Computer science
QA76 Computer software
T Technology (General)
TA Engineering (General). Civil engineering (General)
Online Access:http://umpir.ump.edu.my/id/eprint/43974/
http://umpir.ump.edu.my/id/eprint/43974/1/Repeated%20time-series%20cross-validation.pdf

Internet

http://umpir.ump.edu.my/id/eprint/43974/
http://umpir.ump.edu.my/id/eprint/43974/1/Repeated%20time-series%20cross-validation.pdf

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