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...
| 出版年: | Journal of Applied Data Sciences |
|---|---|
| 第一著者: | |
| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
Bright Publisher
2025
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| 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 |