Prediction of flood sensitivity based on Logistic Regression, eXtreme Gradient Boosting, and Random Forest modeling methods
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Bibliographische Detailangaben
| Veröffentlicht in: | Water science and technology : a journal of the International Association on Water Pollution Research. - 1986. - 89(2024), 10 vom: 01. Mai, Seite 2605-2624
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| 1. Verfasser: |
Wu, Ying
(VerfasserIn) |
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| Weitere Verfasser: |
Zhang, Zhiming,
Qi, Xiaotian,
Hu, Wenhan,
Si, Shuai |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2024
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| Zugriff auf das übergeordnete Werk: | Water science and technology : a journal of the International Association on Water Pollution Research
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| Schlagworte: | Journal Article
Logistic Regression (LR)
Random Forest (RF)
eXtreme Gradient Boosting (XGBoost)
flood sensitivity assessment |
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