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

Genetic vs. Statistic Regression Models - A Comparison
Bruce Ratner, Ph.D.
Live chat by Boldchat
Live chat by Boldchat

Logistic regression is a popular technique for classifying individuals into two mutually exclusive and exhaustive categories, for example: buy-not buy or responder-non-responder. It is the workhorse of response modeling as its results are considered the gold standard. Moreover, it is used as the benchmark for assessing the superiority of newer techniques, such as a Genetic Logistic Regression Model. I present a comparison of Genetic vs. Statistic Logistic Regression. I hope you are marked by a desire to investigate and perhaps learn what interests me, as it relates to our mutual industry. Click here.

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.