Explain Any Machine Learning Model in Python with SHAP

@faun ・ May 26,2023

https://mathdatasimplified.com/2023/05/20/shap-explain-any-m...

Explain Any Machine Learning Model in Python with SHAP

This article explains how Shapley values, a method used in game theory to fairly distribute gains and costs to actors working in a coalition, can be used to interpret a machine learning model.

The Shapley value is a method used in game theory to fairly distribute gains and costs to actors working in a coalition, ensuring each actor gets a fair share based on their contribution.
Shapley values can be used to determine the contribution of each feature in a group, such as advertising strategies.
SHAP can be used to visualize the contribution and importance of each feature in a machine learning model, such as daily internet usage and area income.
The Python library SHAP uses Shapley values to explain the output of any machine learning model.