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

• المؤلفون الرئيسيون: Riko, Febrian, Anne Mudya, Yolanda
• التنسيق: مقال
• اللغة: English
• منشور في: INTI International University 2024
• الموضوعات: Q Science (General); QA Mathematics; QA75 Electronic computers. Computer science
• الوصول للمادة أونلاين: 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...