SHAP (SHapley Additive exPlanations)

SHAP (SHapley Additive exPlanations)#

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Description#

A game theoretic approach to explain the output of any machine learning model. It connects optimal credit allocation with local explanations using the classic Shapley values from game theory and their related extensions.

Home page for this solution: https://shap.readthedocs.io/en/latest/

Overview#

Key

Value

Name

shap

Description

A game theoretic approach to explain the output of any machine learning model.

License

MIT License

Programming Language

Jupyter Notebook

Created

2016-11-22

Last update

2025-05-01

Github Stars

23811

Project Home Page

https://shap.readthedocs.io

Code Repository

shap/shap

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  • Created date is date that repro is created on Github.com.

  • Last update: Last update of repository on Github found on May 02, 2025.

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