SHAP

SHAP explained the way I wish someone explained it to me

Towards Data Science

SHAP — which stands for SHapley Additive exPlanations — is probably the state of the art in Machine Learning explainability. This algorithm was first published in 2017 by Lundberg and Lee (here is…

SHAP (SHapley Additive exPlanations)

Christophm Interpretable Machine Learning Book

SHAP (SHapley Additive exPlanations) by Lundberg and Lee (2017) 69 is a method to explain individual predictions. SHAP is based on the game theoretically optimal Shapley values . There are two reasons...

SHAP Part 3: Tree SHAP

Analytics Vidhya

Tree SHAP is an algorithm to compute exact SHAP values for Decision Trees based models. SHAP (SHapley Additive exPlanation) is a game theoretic approach to explain the output of any machine learning…

June Edition: Get into SHAP

Towards Data Science

The ins and outs of a powerful explainable-AI approach Photo by Héctor J. Rivas on Unsplash The power and size of machine learning models have grown to new heights in recent years. With greater compl...

Four Custom SHAP Plots

Towards Data Science

SHAP values are a great tool for understanding how a model makes predictions. The SHAP package provides many visualisations that make this process even easier. That being said, we do not have to rely…...

Geographic SHAP

R-bloggers

"R Python" continued... Geographic SHAP Continue reading: Geographic SHAP

Analysing Interactions with SHAP

Towards Data Science

SHAP values are used to explain individual predictions made by a model. It does this by giving the contributions of each factor to the final prediction. SHAP interaction values extend on this by…

SHAP Values

Kaggle Learn Courses

Introduction You've seen (and used) techniques to extract general insights from a machine learning model. But what if you want to break down how the model works for an individual prediction? SHAP Val...

SHAP Values

Kaggle Learn Courses

Introduction You've seen (and used) techniques to extract general insights from a machine learning model. But what if you want to break down how the model works for an individual prediction? SHAP Val...

SHAP for Drift Detection: Effective Data Shift Monitoring

Towards Data Science

Alerting Distribution Divercences using Model Knowledge Continue reading on Towards Data Science

SHAP (SHapley Additive exPlanations): Navigating Game Theory and Explainable AI

Python in Plain English

SHAP (SHapley Additive exPlanations) stands at the intersection of game theory and explainable artificial intelligence (XAI). This innovative approach offers a profound way to elucidate the output of ...