Machine Learning Models for Predicting Flood Events Using Weather Data: An Evaluation of Logistic Regression, LightGBM, and XGBoost

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Machine Learning Models for Predicting Flood Events Using Weather Data: An Evaluation of Logistic Regression, LightGBM, and XGBoost

This study examines flood prediction in Jakarta, Indonesia, a pressing concern due to its significant implications for public safety and urban management. Machine Learning (ML) presents promising methodologies for accurately forecasting floods by leveraging weather data. However, flood prediction in...

书目详细资料
发表在:	Journal of Applied Data Sciences
主要作者:	Maharina; Paryono T.; Fauzi A.; Indra J.; Sihabudin; Harahap M.K.; Rizki L.T.
格式:	文件
语言:	English
出版:	Bright Publisher 2025
在线阅读:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85216728861&doi=10.47738%2fjads.v6i1.503&partnerID=40&md5=9e496ad42db5aec61fb9d0a9595be0a9

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