Unveiling the drives behind tetracycline adsorption capacity with biochar through machine learning

Unveiling the drives behind tetracycline adsorption capacity with biochar through machine learning

Abstract This study aimed to develop a robust predictive model for tetracycline (TC) adsorption onto biochar (BC) by employing machine learning techniques to investigate the underlying driving factors. Four machine learning algorithms, namely Random Forest (RF), Gradient Boosting Decision Tree (GBDT...

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Bibliographic Details
Main Authors: Pengyan Zhang, Chong Liu, Dongqing Lao, Xuan Cuong Nguyen, Balasubramanian Paramasivan, Xiaoyan Qian, Adejumoke Abosede Inyinbor, Xuefei Hu, Yongjun You, Fayong Li
Format: Article
Language:English
Published: Nature Portfolio 2023-07-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-023-38579-8

Internet

https://doi.org/10.1038/s41598-023-38579-8

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