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

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...

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Bibliographic Details
Published in:Journal of Applied Data Sciences
Main Author: Maharina; Paryono T.; Fauzi A.; Indra J.; Sihabudin; Harahap M.K.; Rizki L.T.
Format: Article
Language:English
Published: Bright Publisher 2025
Online Access: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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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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