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Data defines the model by dint of genetic programming, producing the best decile table.
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GenIQ Lets The Data Specify The Model
Bruce Ratner, Ph.D. |
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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. Click the title above for a cunning illustration of this unique feature of GenIQ.
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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. |
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br@dmstat1.com