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The GenIQ Model: 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. 1 800 DM STAT-1, or e-mail at br@dmstat1.com. |
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