A study on machine learning methods' application for dye adsorption prediction onto agricultural waste activated carbon

• Main Authors: Moosavi, Seyedehmaryam, Manta, Otilia, El-Badry, Yaser A., Hussein, Enas E., El-Bahy, Zeinhom M., Mohd Fawzi, Noor fariza Binti, Urbonavicius, Jaunius, Moosavi, Seyed Mohammad Hossein
• Format: Article
• Published: MDPI 2021
• Subjects: QC Physics; QD Chemistry
• Online Access: http://eprints.um.edu.my/33885/
• Institution: Universiti Malaya

The adsorption of dyes using 39 adsorbents (16 kinds of agro-wastes) were modeled using random forest (RF), decision tree (DT), and gradient boosting (GB) models based on 350 sets of adsorption experimental data. In addition, the correlation between variables and their importance was applied. After...