Prediction, Optimization, and Uncertainty Quantification of Methylene Blue Removal by Biochar Adsorbents Using Ensemble Machine Learning
This study developed an integrated and uncertainty‐aware machine learning framework to predict and optimize methylene blue (MB) removal efficiency using biochar adsorbents. A dataset comprising 504 literature‐derived adsorption experiments was compiled using five operational parameters, namely, initial dye concentratio...