A tree based eXtreme Gradient Boosting (XGBoost) machine learning model to forecast the annual rice production in Bangladesh

In this study, we attempt to anticipate annual rice production in Bangladesh (1961–2020) using both the Autoregressive Integrated Moving Average (ARIMA) and the eXtreme Gradient Boosting (XGBoost) methods and compare their respective performances. On the basis of the lowest Corrected Akaike Informat...

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Detalles Bibliográficos
Autores principales: Noorunnahar, Mst, Chowdhury, Arman Hossain, Mila, Farhana Arefeen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10042373/
https://www.ncbi.nlm.nih.gov/pubmed/36972270
http://dx.doi.org/10.1371/journal.pone.0283452

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10042373/
https://www.ncbi.nlm.nih.gov/pubmed/36972270
http://dx.doi.org/10.1371/journal.pone.0283452

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