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...
| الحاوية / القاعدة: | Ilmu Kelautan: Indonesian Journal of Marine Sciences |
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| المؤلف الرئيسي: | |
| التنسيق: | مقال |
| اللغة: | English |
| منشور في: |
Diponegoro University
2024
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| الوصول للمادة أونلاين: | 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 |