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 which metric would be best to evaluate to decide my final model for this model use case?
Can I find AUROC on Miner as well?
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. Thanks.
