Thanks so much. These tweks helped my model getting desired results   Thanks ... View more

Thanks so much. This provided me sufficient information to use the variales efficiently and finding significant lift out of some variables. Just one final thing now, using the SAS code which creates certain EM_ variables, is there a way to know the significant for each variable? I see in the output window that most influencing variables has maximum of wald chi square. However, I am trying to figure out how these variables are influencing. For example I did this manual calculation and here is the outcome: member_age_grp reg_rate_cntl reg_rate_test Lift 18-24 4.3% 4.9% 13.5% 25-34 5.4% 5.9% 8.6% 35-44 4.5% 4.6% 1.6% 45-54 3.6% 3.6% (0.0%) 55-64 2.5% 3.6% 41.7%   •Members who are 55-64 years old show significant lift in registration rates (41.7%) from receiving the letter. Members between 45-54 doesn't show any lift in terms of receiving letters and this could be because of low sample size   But how could I figure out this lift from SAS EMiner. Can something like this (anything that could show how a veriable is influencing the model or the lift) though the EM_ variables?   Thanks a lot again!   Soma ... View more

Thanks so much again for your response! After your response on my other question in the same forum on Friday, I used some numeric variables directly and the result is better now in compare to what I had posted. On one question still though I am kind of stuck: As you mentioned: there is not a strong relationship between the variables and the target. I am noticing the same issue but not sure how to fix this. It would be really helpful if you could please elaborate this part a little more Also I was trying to understand the resultant variable. How they are linked between train and validate.?   Thanks a ton ! Soma ... View more

This information is really helpful. I do appreciate this. I changed few things after reading the reponse and getting better result now. Truly appreciate all your help   Thanks much Soma ... View more

This really does clarify most of my questions and concerns. Just one more question please. After following the requirements as much as possible, still my lift looks poor. Its not a good model  as you can see in the attached image(within an excel). Does this signifies that I dont have proper, co-related/linked variables or I could do something to improve this to bring up to an expected model?   Thanks so much Soma   ... View more

yes, this does help a lot. In fact I was just realizing the fact that how NIV is working in variable selection. Still there's little bit confusion I still have on how the variables are decided to be the strongest ones? Is there any role of data partition also in changing the variable selection?   Thanks a lot!   ... View more