Genetic vs. Statistic Regression

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.