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

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

A comparison of explainable artificial intelligence methods in the

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

A) Shapley additive explanations (SHAP) analysis for the 12 feature RF

Shapley Additive Explanations — InterpretML documentation

Shapley additive explanations (SHAP) analysis of the individual feature

Shapley additive explanations (SHAP) summary plot showing how the

GMD - Using Shapley additive explanations to interpret extreme

Explaining ML models with SHAP and SAGE

PDF] Counterfactual Shapley Additive Explanations

Welcome to the SHAP documentation — SHAP latest documentation

SHapley Additive exPlanations or SHAP : What is it ?

Frontiers Integration of shapley additive explanations with random forest model for quantitative precipitation estimation of mesoscale convective systems