SHapley Additive exPlanations or SHAP : What is it ?

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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

Interpretation of machine learning models using shapley values

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Overview of SHapley Additive exPlanations (SHAP) values from all

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PDF] Counterfactual Shapley Additive Explanations

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Model Explainability with SHapley Additive exPlanations (SHAP)

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Verifying explainability of a deep learning tissue classifier trained on RNA-seq data