AI & ML Research Papers

Interpretable machine learning with tree-based shapley additive explanations: Application to metabolomics datasets for binary classification

Olatomiwa O. Bifarin

Tree-based SHAP provides deeper interpretability than PLS-DA VIP scores for explaining machine learning models in metabolomics binary classification.