I think you may have something w.r.t the problem I am looking to solve, so thought of giving a buzz.
I am in search for some good techniques (or combination of those) to model rare events (a ratio of 1:500 to 1:1000). Apart from logistic (and versions) and boot strapping, I am looking to:
1. Use a combine of logistic and decision tree (say decision tree segmentation followed by logistic on part of data where good-bad ratio is more balanced).
2. Explore neural net
3. Other procedures in SAS.
Hi i am SAS certifiacted Base programmer for SAS 9 from Sas institue three month ago and i don't have experiance . please can u help me how can i get experiance?
This is Manish, part of marketing analytics division at AMEX. I am sending a friend request to you as i think we can occasionally chat about the area we are working into.
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I think you may have something w.r.t the problem I am looking to solve, so thought of giving a buzz.
I am in search for some good techniques (or combination of those) to model rare events (a ratio of 1:500 to 1:1000). Apart from logistic (and versions) and boot strapping, I am looking to:
1. Use a combine of logistic and decision tree (say decision tree segmentation followed by logistic on part of data where good-bad ratio is more balanced).
2. Explore neural net
3. Other procedures in SAS.
You have any suggestions for me ?
Thanks
md
Thanks for pointing to Analytic Bridge. Please add myself to friends list.
VL
This is Manish, part of marketing analytics division at AMEX. I am sending a friend request to you as i think we can occasionally chat about the area we are working into.
Best Regards
Manish