Precision biochar yield forecasting employing random forest and XGBoost with Taylor diagram visualization.

Waste-to-energy conversion via pyrolysis has attracted increasing attention recently owing to its multiple uses. Among the products of this process, biochar stands out for its versatility, with its yield influenced by various factors. Extensive and labor-intensive experimental testing is sometimes necessary to properly grasp the output distribution from various feedstocks.