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...

書誌詳細
出版年:	Journal of Applied Data Sciences
第一著者:	Maharina; Paryono T.; Fauzi A.; Indra J.; Sihabudin; Harahap M.K.; Rizki L.T.
フォーマット:	論文
言語:	English
出版事項:	Bright Publisher 2025
オンライン･アクセス:	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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