Daniel Oluwagbotemi Fasheun

An Explainable Machine Learning Framework for Hypothesis Generation in Biochemical Methane Potential Prediction

Abstract Biochemical methane potential (BMP) assays are widely used to evaluate feedstocks for anaerobic digestion, but they are slow and resource-intensive. This study evaluated whether explainable machine learning can support transparent screening and hypothesis generation from...