Oct. 26, 2022, 4:14 a.m. | Max Cembalest

Towards Data Science - Medium towardsdatascience.com

Let’s use bar trivia to show information missed by Shapley values

We will use a cube representation of games to walk through the interpretation and limitations of Shapley values.

Introduction

To use machine learning responsibly, you should try to explain what drives your ML model’s predictions. Many data scientists and machine learning companies are recognizing how important it is to be able to explain, feature-by-feature, how a model is reacting to the inputs it is given. This article will show …

editors pick explainability explainable ai feature-importance machine learning shapley-values values

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