Classification prediction of PM10 concentration using a tree-based machine learning approach

• Main Authors: Wan Nur Shaziayani, Ul-Saufie, Ahmad Zia, Mutalib, Sofianita, Mohamad Noor, Norazian, Zainordin, Nazatul Syadia
• Format: Article
• Published: MDPI 2022
• Online Access: http://psasir.upm.edu.my/id/eprint/100704/; https://www.mdpi.com/2073-4433/13/4/538
• Institution: Universiti Putra Malaysia

The PM10 prediction has received considerable attention due to its harmful effects on human health. Machine learning approaches have the potential to predict and classify future PM10 concentrations accurately. Therefore, in this study, three machine learning algorithms—namely, decision tree (DT), bo...