AidanCooper/shap-analysis-guide
How to Interpret SHAP Analyses: A Non-Technical Guide
This guide helps business leaders and decision-makers understand why a machine learning model makes certain predictions. It takes the detailed outputs from a SHAP analysis, which shows how different factors influence a model's decision, and translates them into clear, actionable insights for non-technical audiences. It's designed for anyone who relies on machine learning models but isn't a data scientist.
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Use this if you need to explain machine learning model predictions to stakeholders without a technical background, or if you want to better understand the drivers behind your model's outputs yourself.
Not ideal if you are looking for a technical guide on how to implement SHAP analyses or build machine learning models from scratch.
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MIT
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Nov 02, 2021
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