Machine Learning Times
Machine Learning Times
AI Success Depends On How You Choose This One Number
 Originally published in Forbes, March 25, 2024. To do...
Elon Musk Predicts Artificial General Intelligence In 2 Years. Here’s Why That’s Hype
 Originally published in Forbes, April 10, 2024 When OpenAI’s...
Survey: Machine Learning Projects Still Routinely Fail to Deploy
 Originally published in KDnuggets. Eric Siegel highlights the chronic...
Three Best Practices for Unilever’s Global Analytics Initiatives
    This article from Morgan Vawter, Global Vice...

By: Dr. John Elder, CEO and Founder, Elder Research, Inc

 (Part 2 of 11 of the Top 10 Data Mining Mistakes, drawn largely from Chapter 20 of the Handbook of Statistical Analysis and Data Mining Applications) Only out-of-sample results matter; otherwise, a lookup table would always be the best model.  Researchers at the MD Anderson medical center in Houston (almost two decades ago) used neural networks to detect cancer.  Their out-of-sample results were reasonably good, though worse than training, which is typical.  They supposed that longer training of the network would improve it – after all, that’s the way it works with doctors – and were astonished to

This content is restricted to site members. If you are an existing user, please log in on the right (desktop) or below (mobile). If not, register today and gain free access to original content and industry news. See the details here.

Comments are closed.