Machine Learning in Banking - Tips & Tricks: Session 5 - Interpretability with Shapley values

26 Pages Posted: 22 Nov 2022

See all articles by Eric Benhamou

Eric Benhamou

Université Paris-Dauphine, PSL Research University; AI For Alpha; EB AI Advisory

Date Written: September 30, 2022

Abstract

These slides are part of the Data & Ai reskilling seminar in Banking hosted by Dauphine and Ecoles des Mines PSL. They discuss how to interpret machine learning models with Shapley values

Keywords: Machine learning, explanable AI, interpretability, Shapley values

JEL Classification: G13

Suggested Citation

Benhamou, Eric, Machine Learning in Banking - Tips & Tricks: Session 5 - Interpretability with Shapley values (September 30, 2022). Available at SSRN: https://ssrn.com/abstract=4234565 or http://dx.doi.org/10.2139/ssrn.4234565

Eric Benhamou (Contact Author)

Université Paris-Dauphine, PSL Research University ( email )

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AI For Alpha ( email )

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EB AI Advisory ( email )

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