Hi Team,
I'm working with HP BN classifier node and having a little difficulty in interpreting the plots. I am using Naive Bayes as my network model and there is a variable ranking table that shows the score of different variables, I wanted to ask you that if my score is coming negative than what does it mean ??
.
Best Regards,
Bharat
You can find the formula for the BIC on page 4 of this paper: Building Bayesian Network Classifiers Using the HPBNET Procedure
Note that it will always be negative for a discrete probability distribution, and the higher the BIC, the better the model.
Hope that helps.
April 27 – 30 | Gaylord Texan | Grapevine, Texas
Walk in ready to learn. Walk out ready to deliver. This is the data and AI conference you can't afford to miss.
Register now and lock in 2025 pricing—just $495!
Still thinking about your presentation idea? The submission deadline has been extended to Friday, Nov. 14, at 11:59 p.m. ET.
Use this tutorial as a handy guide to weigh the pros and cons of these commonly used machine learning algorithms.
Find more tutorials on the SAS Users YouTube channel.