<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Shap Values on Actuarial Ninja</title><link>https://www.actuarialninja.com/tags/shap-values/</link><description>Recent content in Shap Values on Actuarial Ninja</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Sat, 09 Aug 2025 17:52:02 +0000</lastBuildDate><atom:link href="https://www.actuarialninja.com/tags/shap-values/index.xml" rel="self" type="application/rss+xml"/><item><title>How to Use SHAP Values to Explain Actuarial Models: A Step-by-Step Tutorial</title><link>https://www.actuarialninja.com/tutorials/how-to-use-shap-values-to-explain-actuarial-models-a-step-by-step-tutorial/</link><pubDate>Sat, 09 Aug 2025 17:52:02 +0000</pubDate><guid>https://www.actuarialninja.com/tutorials/how-to-use-shap-values-to-explain-actuarial-models-a-step-by-step-tutorial/</guid><description>&lt;p&gt;Using SHAP values to explain actuarial models is a powerful way to bring transparency and trust to complex predictive models that are often viewed as black boxes. SHAP, which stands for SHapley Additive exPlanations, breaks down a model’s prediction into the contribution of each feature, making it easier to understand how individual variables affect outcomes. This is especially valuable in actuarial science, where decisions impact financial risk assessments, insurance pricing, and regulatory compliance.&lt;/p&gt;</description></item></channel></rss>