GitHub - shap/shap: A game theoretic approach to explain the …
SHAP (SHapley Additive exPlanations) is a game theoretic approach to explain the output of any machine learning model. It connects optimal credit allocation with local explanations using the …
shap · PyPI
Nov 11, 2025 · SHAP (SHapley Additive exPlanations) is a game theoretic approach to explain the output of any machine learning model. It connects optimal credit allocation with local …
SHAP : A Comprehensive Guide to SHapley Additive exPlanations
Jul 14, 2025 · SHAP (SHapley Additive exPlanations) has a variety of visualization tools that help interpret machine learning model predictions. These plots highlight which features are …
Using SHAP Values to Explain How Your Machine Learning Model …
Jan 17, 2022 · SHAP values (SH apley A dditive ex P lanations) is a method based on cooperative game theory and used to increase transparency and interpretability of machine …
An Introduction to SHAP Values and Machine Learning …
Jun 28, 2023 · SHAP values add up to the difference between the expected model output and the actual output for a given input. This means that SHAP values provide an accurate and local …
Understanding Model Predictions with SHAP - Class Central
Discover how SHAP explains machine learning predictions using game theory concepts, comparing XGBoost and neural networks on breast cancer data for interpretable AI decisions.
SHAP-Based Explainability in AI - emergentmind.com
May 13, 2025 · SHAP-based explainability is a method that leverages Shapley values to decompose model predictions into additive feature contributions. The method is highly …
A Perspective on Explainable Artificial Intelligence Methods: SHAP …
Jun 17, 2024 · Abstract eXplainable artificial intelligence (XAI) methods have emerged to convert the black box of machine learning (ML) models into a more digestible form. These methods …
Shapley value - Wikipedia
In cooperative game theory, the Shapley value is a method (solution concept) for fairly distributing the total gains or costs among a group of players who have collaborated. For example, in a …
SHAP Values Explained - Medium
Sep 19, 2024 · SHAP (SHapley Additive exPlanations) is a powerful tool in the machine learning world that draws its roots from game theory. In simple terms, SHAP values allow you to break …