Machine Learning Times
EXCLUSIVE HIGHLIGHTS
For Managing Business Uncertainty, Predictive AI Eclipses GenAI
  Originally published in Forbes The future is the ultimate...
AI Business Value Is Not an Oxymoron: How Predictive AI Delivers Real ROI for Enterprises
  Originally published in AI Realized Now “Shouldn’t a great...
How To Un-Botch Predictive AI: Business Metrics
  Originally published in Forbes Predictive AI offers tremendous potential...
2 More Ways To Hybridize Predictive AI And Generative AI
  Originally published in Forbes Predictive AI and generative AI...
SHARE THIS:

10 years ago
Predictive Modeling Forensics: Identifying Data Problems

 

Excerpted and modified from Chapters 3 and 4 of Mr. Abbott’s book Applied Predictive Analytics, Wiley 2014

The Data Understanding stage of a predictive analytics project is intended to uncover the characteristics of the data available for predictive modeling. One key part of Data Understanding is what we might call a Data Audit, where every field is summarized. One purpose of a data audit is to uncover potential problems with the data that should be corrected during data preparation.

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.