Webcasts

Webcast for Regression Modelers: Demo of the GenIQ Model
Wednesday, June 18, 2008; 1pm - 2:15pm ET. No charge!

The GenIQ Model(c) 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. GenIQ requires no programming (though there is optional control of process), produces models that outdo statistical models, and is a different model: unsuspected equation, ungainly interpretation, and easy implementation.

Prerequisites for the GenIQ Webcast

I. A practiced-to-advanced modeler of statistical ordinary least squares and logistic regression models, along with an understanding of how the decile table is used to assess model performance.

OR

II. A well-informed end-user of statistical regression models, along with an understanding of how the decile table is used to assess model performance, AND is looking for an easy-to-use/automatic regression method that is not a "black box," but rather is transparent in its output.

See more info and register for June 18 GenIQ webcast here