SHapley Additive exPlanations or SHAP : What is it ?

SHapley Additive exPlanations, more commonly known as SHAP, is used to explain the output of Machine Learning models. It is based on Shapley values, which

Prediction of HHV of fuel by Machine learning Algorithm: Interpretability analysis using Shapley Additive Explanations (SHAP) - ScienceDirect

Explaining ML models with SHAP and SAGE

A Comprehensive Guide into SHAP Values

SHAP (Shapley Additive explanations) of feature importance values.

SHAP (Shapley Additive Explanations) with caret in R - Stack Overflow

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

A gentle introduction to SHAP values in R

SHAP: Shapley Additive Explanations, by Fernando López

9.6 SHAP (SHapley Additive exPlanations)

What is the Shapley value ?. Do you know the SHAP method? The famous…, by Olivier Caelen, The Modern Scientist