Predictive Analytics Times
Predictive Analytics Times
Dr. Data Show Video: How Can You Trust AI?
 Watch the second episode of The...
Three Common Mistakes That Can Derail Your Team’s Predictive Analytics Efforts
  Originally published by Harvard Business...
Artificial Intelligence: Are We Effectively Assessing Its Business Value?
 As most data science practitioners know,...
Dr. Data Show Video: Why Machine Learning Is the Coolest Science
 Watch the premiere episode of The...

4 years ago
Using Decision Trees in Variable Creation: Minimizing Information Loss-Part 1

 Numerous articles have been written about the use of decision trees to create predictive models. The literature has been rich in detail about the varying techniques and methodologies used to create decision trees. Different approaches in terms of the mathematics being used range from using Chi-Square type statistics to the more engineering-based mathematics such as the use of entropy based algorothms.   Virtually all data mining software includes some decision tree type tools. From a theoretical perspective, the more granular multivariate logistic/multiple regression techniques should outperform decision-trees since the output of the multivariate techniques is a score for each record while

To view this content
Login OR subscribe for free

Already receive the Predictive Analytics Times emails?
As of January 2014, the Predictive Analytics Times now requires legacy email subscribers to upgrade their subscription - one time only - in order to attain a password-protected login and gain complete access.

Click here to complete this one-time subscription upgrade


Existing Users Log In
New User Registration
*Required field

Comments are closed.