SHAP – Andrew Fairless, Ph.D.

What I Read: Is SHAP doomed?

By Andrew Fairless on December 18, 2024September 3, 2024

https://mindfulmodeler.substack.com/p/shedding-light-on-impossibility-theorems Shedding light on “Impossibility Theorems for Feature Attribution”: Is SHAP doomed?Christoph MolnarJun 18, 2024 “tl;dr: Don’t use SHAP for counterfactual questions or any questions about “slightly changing feature valuesContinue readingWhat I Read: Is SHAP doomed?

What I Read: Shapley Values

By Andrew Fairless on March 2, 2023January 9, 2023

https://www.aidancooper.co.uk/how-shapley-values-work/ How Shapley Values WorkAidan CooperDec 31, 2022 “Shapley values… are machine learning explainability techniques…. we will explore how Shapley values work – not using cryptic formulae, but by wayContinue readingWhat I Read: Shapley Values

What I Read: explainability, survival analysis

By Andrew Fairless on November 21, 2022September 27, 2022

https://medium.com/responsibleml/survex-model-agnostic-explainability-for-survival-analysis-94444e6ce83d survex: model-agnostic explainability for survival analysisMikołaj SpytekSep 19 “… survival models… tells us what is the probability of an event not happening until a given time t…. The complexity…Continue readingWhat I Read: explainability, survival analysis

SHAP Tutorial

By Andrew Fairless on August 25, 2020August 23, 2020

Several months ago, I wrote a blog post for my company describing the importance of model interpretability in healthcare settings. Below is a tutorial on how to use the SHAPContinue readingSHAP Tutorial

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