Gains# Main Features

    Modeling Algorithms
  • Efficient and effective stepwise variable selection
  • ATS (Adaptive Transformation Score) function  effectively displays relationship between independent variables and target variable
  • Adaptive logistic regression algorithm for binary dependent variables (see comparison...)
  • Adaptive Ordinary Least Square (OLS) algorithm for continuous dependent variables
  • Ability to check variable robustness even before building a model
  • Effective way to treat and safeguard against multicollinearity (highly correlated variables)

   Modeling Process
  • Read directly in Excel (.csv) or SAS datasets, even without having SAS installed on local PC
  • Automatic treatment of missing values without excluding missing values from model development
"I can't think of modeling software that can generate, modify or validate a response model faster; and it offers the precision, flexibility and elegance that one might think comes only from customized nonlinear modeling programs and a lot of sophisticated thought."

"Gains# shows great strength at the model building stage. Among the tools we used in our recent projects, it is the only one that can produce stable models, and it takes the least amount of effort."

"No other modeling software I have used identifies variable transformations as effectively as Gains#."

"Gains# is very fast to learn."
  • Automatic integration of numerical and character-type variables
  • Flexible conversion of a variable from numerical-type to categorical-type or vice versa
  • One-click exporting of model codes or model scores to SAS and SQL

   Model Evaluation
  • Easy to compare multiple models acrosss multiple datasets
  • Incorporates the most common statistical evaluation measures and charts, including KS, the C statistics, Gini Coefficient, Gains Chart and Lift Curve
  • Various diagnostics tools for better understanding of models, such as relative model variable importance and multicollinearity detection tools
 
 
Customers Say ...
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