Article Details
Retrieved on: 2024-09-10 17:07:09
Tags for this article:
Click the tags to see associated articles and topics
Summary
The article discusses XPER, a tool for enhancing business intelligence through explainable artificial intelligence. It outlines how XPER differs from SHAP by focusing on performance metrics rather than individual predictions. The key concept ties to predictive modeling, statistical classification, and applications of AI, with C. Pérignon mentioned as a contributor.
Article found on: towardsdatascience.com
This article is found inside other hiswai user's workspaces. To start your own collection, sign up for free.
Sign UpAlready have an account? Log in here