
B"H "Whatever you are able to do with your might, do it."
The GenIQ Model is a machinelearning 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. Put differently, GenIQ seeks to maximize cum lift, a measure of model predictiveness, i.e., of identifying upper performing individuals often displayed in a decile table. GenIQ models outdo statistical models, due to its unique equation and supplemental output. Moreover, GenIQ provides a book load of machinelearning data mining techniques for better predictive modeling and analysis of big data.


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Machinelearning Predictive Modeling & Data Mining are fully furnished in the GenIQ Model software, which explicitly maximizes expected response or profit  as displayed in a decile table  from direct/database/telemarketing solicitations, marketingmix optimization programs, businessintelligent offerings, CRM campaigns, web/emailbased broadcasts, and the like. The GenIQ Model is a flexible assumptionfree, nonparametric model based on the machine learning paradigm of genetic programming. The GenIQResponse and GenIQProfit modules offer a clear advantage over "inflexible" logistic and ordinary regression methods, whose performance is based on theoretical assumptions, a prespecified parametric model, and data restrictions. Enroll in a free GenIQ Model Webcast. 

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