GenIQ-enhanced/Data-reused Regression

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

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

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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

GenIQs optimizing of the deciles is equivalent to predicting the best possible ranking (permitted by the data) of the target variable based on the GenIQ Model score GenIQvar. To this end, the discussion of GenIQ to produce the best possible ranking is nicely illustrated in the title-link's presentation. Click the title, and give me your comments, if you please via email.

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For more information about this article, call Bruce Ratner at 516.791.3544 or 1 800 DM STAT-1; or e-mail at br@dmstat1.com.