all AI news
Shapley Residuals: Measuring the Limitations of Shapley Values for Explainability
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
More from towardsdatascience.com / Towards Data Science - Medium
Jobs in AI, ML, Big Data
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne
Senior Machine Learning Engineer (MLOps)
@ Promaton | Remote, Europe
Sr. VBI Developer II
@ Atos | Texas, US, 75093
Wealth Management - Data Analytics Intern/Co-op Fall 2024
@ Scotiabank | Toronto, ON, CA