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

GenIQ: A Method that Lets the Data Specify the Model
Bruce Ratner, Ph.D.

Typically, the data analyst approaches a problem directly with an "inflexible" designed procedure specifically for that purpose. For example, the statistical problem of prediction of a continuous target variable (e.g., profit) is solved by the "old" classical standard ordinary least-squares (OLS) regression model. Atypically, the new machine learning GenIQ Model©, a "flexible" nonparametric, assumption-free approach, Lets the Data Specify the Model (equation). Specifically, GenIQ let's the data specify the model automatically – data mines for new variables, performs variable selection, then specifies the model equation. For a most compelling illustration of how GenIQ Lets the Data Specify the Model, click here. 

I would greatly appreciate your comments about GenIQ Letting the Data Specify the Model. Please email me. Thank you. Bruce

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