Business Analytics, Predictive Modeling, Data Mining, Marketing Databases, Operations Research, Quant, Statistical Programming, Web Analytics, Statistical Consulting, Medical Statistics, Artificial Intelligence, SAS, Teaching
Bruce Ratner, Ph.D.,The Significant Statistician(TM), is the inventor of the GenIQ Model. 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. GenIQ requires no programming (though there is optional control of process), produces models that outdo statistical models, and is for modelers who daringly consider a different model: unsuspected equation, ungainly interpretation, and easy implementation. Put differently, GenIQ seeks to maximize cum lift, a measure of model predictiveness of identifying the upper performing individuals often displayed in a decile table.