Hi, I am making various models for rare target data. I have made log. Regression, regression, ensemble, and gradient boosting. When I model compare, I find different chosen models for different “selection statistic” metrics.
I am wondering, how do I check my models final variables it selected? How do I find the feature importance chart of any kind?
Also, I am wanting to use random forest model as well, but I get an error when I use 20 samples, apply LARS and partition the data, not sure what the step before the Forest node is (because the old version of miner had a node for this but I am using 14.2 and it does not exist), so I get an error when trying to run the forest. It says “must use at least one input or rejected variable”, and I am not sure how to fix this and get the forest to run. Below is an image of my forest models flow.
Thanks.
![DarioM_0-1657816275685.png DarioM_0-1657816275685.png](https://communities.sas.com/t5/image/serverpage/image-id/73310iEEB48BB52D6D1CB0/image-size/medium?v=v2&px=400)