Predicting Ocean Current Temperature Off the East Coast of America with XGBoost and Random Forest Algorithms Using Rstudio
This research investigates the comparative predictive efficacy of two leading machine learning methodologies, specifically the XGBoost and Random Forest models, in estimating ocean temperature dynamics in the TS Gulf Stream and Labrador Current regions along the east coast of North America. Using an...
| 發表在: | Ilmu Kelautan: Indonesian Journal of Marine Sciences |
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| 主要作者: | |
| 格式: | Article |
| 語言: | English |
| 出版: |
Diponegoro University
2024
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| 在線閱讀: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85198048471&doi=10.14710%2fik.ijms.29.2.273-284&partnerID=40&md5=4b50e7e26a84ca531d26655f43c54794 |