Data defines the model by dint of genetic programming, producing the best decile table.

GenIQ-enhanced/Data-reused Regression
Bruce Ratner, Ph.D.

The GenIQ Model©  is a machine learning alternative model to the statistical ordinary least squares and logistic regression models. GenIQ lets the data define the model – automatically data mines for new variables, performs variable selection, and then specifies the model equation – so as to "optimize the decile table," to fill the upper deciles with as much profit/many responses as possible

What is a GenIQ-enhanced/Data-reused Regression Model?
The GenIQ Model can be used on a final regression model (equation score) along with the original variables to let GenIQs data mining prowess enhance the results of the final regression model. 

To this end, the discussion of the GenIQ-enhanced/Data-reused Regression is nicely illustrated in a power point presentation (PPT).

Do not be diffident, make your request by email for the GenIQ-enhanced/Data-reused Regression PPT. When you do, you will be different, having the know-how to enhanced your regression models by data-reuse. 

Hope to hear from you!

For more information about this article, call Bruce Ratner at 516.791.3544 or 1 800 DM STAT-1; or e-mail at
Sign-up for a free GenIQ webcast: Click here.