Predicting Ocean Current Temperature Off the East Coast of America with XGBoost and Random Forest Algorithms Using Rstudio

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...

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Bibliographic Details
Published in:Ilmu Kelautan: Indonesian Journal of Marine Sciences
Main Authors: Alfaris L.; Firdaus A.N.; Nyuswantoro U.I.; Siagian R.C.; Muhammad A.C.; Hassan R.; Aunzo R.T., Jr.; Ariefka R.
Format: Article
Language:English
Published: Diponegoro University 2024
Online Access: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

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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

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