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

• Olatomiwa O. Bifarin

  Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing

  * E-mail: obifarin3@gatech.edu

  Current address: School of Chemistry and Biochemistry, Georgia Institute of Technology, Atlanta, Georgia, United States of America

  Affiliation Department of Biochemistry and Molecular Biology, University of Georgia, Athens, Georgia, United States of America

  https://orcid.org/0000-0002-5379-0881

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