Classification prediction of PM10 concentration using a tree-based machine learning approach
The PM10 prediction has received considerable attention due to its harmful effects on human health. Machine learning approaches have the potential to predict and classify future PM10 concentrations accurately. Therefore, in this study, three machine learning algorithms—namely, decision tree (DT), bo...
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| 主要な著者: | , , , , |
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| フォーマット: | 論文 |
| 出版事項: |
MDPI
2022
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| オンライン･アクセス: | http://psasir.upm.edu.my/id/eprint/100704/ https://www.mdpi.com/2073-4433/13/4/538 |
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