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

• 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/1919/1/jods2024_05.pdf; http://eprints.intimal.edu.my/1919/; http://ipublishing.intimal.edu.my/jods.html

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...