Building models with SAS Enterprise Miner, SAS Factory Miner, SAS Visual Data Mining and Machine Learning or just with programming

Modelling for High Event Rate

Reply
Occasional Contributor
Posts: 9

Modelling for High Event Rate

Hi, 

 

I have a dataset (30k) with event = 82% and non-event = 18%, is this still possible to use normal way to model (ie. neural/regression/etc)? So far, i dont' have a good result yet (DT, regression, scorecard, 50/50 oversampling, Neural was used). Or should i try to reverse the Event to 18% and build a model for that? 

 

 

Super User
Posts: 17,819

Re: Modelling for High Event Rate

18%/82% is actually a good split in my experience. 

 

Why do you think you don't have a good fit?

Occasional Contributor
Posts: 9

Re: Modelling for High Event Rate

All the models give me a very unstable lift chart with a lift of 1.10 at most. I am still trying out with different segments, but this will only reduce my 30k to a smaller size, which i am trying to avoid.  

Super User
Posts: 9,681

Re: Modelling for High Event Rate

This is what Data Mining should be if you don't have a big table.
Why not try PROC LOGISTIC ,since your table is quite small .


Ask a Question
Discussion stats
  • 3 replies
  • 131 views
  • 0 likes
  • 3 in conversation