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The Limitations of SHAP

Towards Data Science

How SHAP is impacted by feature dependencies, causal inference and human biases Continue reading on Towards Data Science

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 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…

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…

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...

Kernel SHAP

R-bloggers

Standard Kernel SHAP has arrived in R. We show how well it plays together with deep learning in Keras Continue reading: Kernel SHAP

SHAP Part 2: Kernel SHAP

Analytics Vidhya

Kernel SHAP is a model agnostic method to approximate SHAP values using ideas from LIME and Shapley values. This is my second article on SHAP. Refer to my previous post here for a theoretical…

Advanced Uses of SHAP Values

Kaggle Learn Courses

Recap We started by learning about permutation importance and partial dependence plots for an overview of what the model has learned. We then learned about SHAP values to break down the components of...

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…

Geographic SHAP

R-bloggers

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

Casual SHAP values: A possible improvement of SHAP values

Towards Data Science

An introduction and a case study Image by Evan Dennis As explained in my previous post, the framework of SHAP values, widely used for machine learning explainability has unfortunately failed to refle...