Software

WHAT
The GenIQ Model (see www.dmstat1.com/geniq_benefits.html) is an assumption-free, nonparametric, which addresses the weaknesses of the statistical DM problem-solution (they do not explicitly maximize model lift; they do not have built-in data mining capability) by using the machine learning (ML) method of genetic programming (GP).

GenIQ Software is the PC-based implementation of the GenIQ Model for building classification and prediction models. GenIQ Software is flexible during the data input and output processes as it imports unlimited records and candidate predictor variables of any type; reduces the mandatory exploratory data analysis to only checking for implausible and impossible; accommodates efficiently the problem of missing data with genetic imputation.

BENEFITS
The following features of the GenIQ Model directly translate into significant value-added benefits of the GenIQ Software.

1. The GenIQ Model has maximum model lift, as its best-of-generation solution estimates the rank-order likelihood of response or contribution of profit.
   Value-added: Greater response/profit � increased cost efficiency in DM programs.
2. The GenIQ Model is more reliable than the logistic and ordinary regression models because it lets the data suggest the equation form without any assumptions. The regression models require the rigid assumption of the equation form (sum of weighted predictor variables), and a host of other untenable assumptions.
   Value-added: Greater model reliability � increased confidence in the predicted DM program results.
3. The GenIQ Model can serve as a productivity tool for data analysts who build models in the DM Space where maximizing model lift is the bottom-line objective.
   Value-added: Greater productive labor � increased quantity of models built.
4. The GenIQ Model can serve as a specialty tool for experts who want control over the individual processes: selecting among the important original variables, assessing the predictiveness of the newly data mined variables, and developing the best model with maximum model lift.
   Value-added: Greater "creativity" afforded � increased quality of models built and individuality of human captial.
5. The GenIQ Model provides automatic data mining � an inherent by-product of the genetic programming methodology. Data analysts can export the genetically constructed variables into an independent model application.
   Value-added: Presents a hybrid statistics-ML paradigm that yields a utile alternative for DM modeling. (See A Hybrid Statistics-Machine Learning Paradigm for DM Modeling www.dmstat1.com/49.html .)

WHEN
Now, call Bruce at 516.791.3544 for a ten minute demo of the GenIQ Software; or e-mail at br@dmstat1.com.