Wartini Ng

Illusions of Accuracy: Widespread Data Leakage Distorts Machine Learning Results in Biochar Research

Machine learning (ML) is increasingly used in biochar research to predict yield, material properties, and adsorption performance. Yet, this review reveals that much of the reported success in ML‐driven biochar studies may be overstated due to data leakage, the inadvertent transfer of information between training and te...