Variable Reduction in Logistic & Choosing the correct transformations

This paper provides a powerful tool to deal with the problem of plenty where we have a large number of variables and the regression function used is Logistic. This method weaves through huge number of transformations of each variable and helps you choose the best form of each variable and all this while reducing the variables to be considered at a very fast pace and helping you get a very robust and statistically sound model which can stand the test of time. For any comments/suggestions please mail arijit.das@genpact.com.