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...
| 出版年: | Ilmu Kelautan: Indonesian Journal of Marine Sciences |
|---|---|
| 第一著者: | |
| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
Diponegoro University
2024
|
| オンライン･アクセス: | 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 |