Comparison of Recursive Feature Elimination and Boruta as Feature Selection in Greenhouse Gas Emission Data Classification

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Comparison of Recursive Feature Elimination and Boruta as Feature Selection in Greenhouse Gas Emission Data Classification

Classification analysis is a supervised learning method that can be utilized to categorize levels of greenhouse gas emissions. Regular monitoring of greenhouse gas emissions is essential for relevant agencies to devise prevention and mitigation programs that address climate change. In classification...

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Bibliographic Details
Main Authors:	Riko, Febrian, Anne Mudya, Yolanda
Format:	Article
Language:	English
Published:	INTI International University 2024
Subjects:	Q Science (General) QA Mathematics QA75 Electronic computers. Computer science
Online Access:	http://eprints.intimal.edu.my/1919/ http://eprints.intimal.edu.my/1919/1/jods2024_05.pdf

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