Setting variable weight on decision tree using SAS Miner

Livia_L — Tue, 14 Jul 2020 20:14:12 GMT

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&docsetVersion=14.3&locale=em 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?

topic Setting variable weight on decision tree using SAS Miner in SAS Data Science

Setting variable weight on decision tree using SAS Miner