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Feature selection for global tropospheric ozone prediction based on the BO-XGBoost-RFE algorithm
Ozone is one of the most important air pollutants, with significant impacts on human health, regional air quality and ecosystems. In this study, we use geographic information and environmental information of the monitoring site of 5577 regions in the world from 2010 to 2014 as feature input to predi...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9163069/ https://www.ncbi.nlm.nih.gov/pubmed/35655087 http://dx.doi.org/10.1038/s41598-022-13498-2 |