I have a data set with a binary target where only 1.3% of the members are marked as 1, while 98.7% are marked as 0, and I need to run a decision tree on that set. So, I tried two ways of doing that:
1) I created a simple random sample on SAS with 30% of the members marked as 1 and 70% marked as 0, and also created a "weight" variable on the data set, where the weight of the members marked as 1 was 1 and the weight of the others was 22 or something like that. Then, when defining my data source on SAS Miner, I assigned the frequency role to my weight variable. I tried to run the decision tree on that set, but it only returned one node
2) I read the Decisions Node Example from this page https://documentation.sas.com/?docsetId=emref&docsetTarget=p0ak10c0ywr8mrn1an7tum03sp7g.htm&docsetVe... and tried again, following the instructions. I set the "Decisions", and then connected it to the "Decision Tree", and on Train Properties, I defined Import Tree Model as Yes, runned the tree, and got an error
What I'm doing wrong?
