9.6 SHAP (SHapley Additive exPlanations)
Machine learning algorithms usually operate as black boxes and it is unclear how they derived a certain decision. This book is a guide for practitioners to make machine learning decisions interpretable.
A) Shapley additive explanations (SHAP) analysis for the 12
SHAP : A Comprehensive Guide to SHapley Additive exPlanations
SHapley Additive exPlanations (SHAP) analysis results for the feature
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Transparency of Machine Learning Models in Credit Scoring
9.4 Scoped Rules (Anchors) Interpretable Machine Learning
Shapley additive explanations (SHAP) analysis of the individual
SHAP: Shapley Additive Explanations, by Fernando López
Application of explainable artificial intelligence in the identification of Squamous Cell Carcinoma biomarkers - ScienceDirect
Interpretable Machine Learning: A Guide For Making Black Box Models Explainable: Molnar, Christoph: 9798411463330: : Books
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Explainers — SHAP latest documentation