We are developing some credit scoring models using Credit Scoring for Enterprise Miner. We can predict Good(non-event) or Bad(event) by developed model in SCORE node. It's threshold probability to identify Good or Bad is set to 0.5. But our threshold to identify Good is higher than 0.5.
Could anyone tell me how to change this threshold?
Thanks in advance.
You can use the Cutoff node (from the Assess tab), then set the Cutoff User Input to whatever value you want to use for the cutoff. The variable EM_CUTOFF will then have the predicted level based on this cutoff.
Good news: We've extended SAS Hackathon registration until Sept. 12, so you still have time to be part of our biggest event yet – our five-year anniversary!
Use this tutorial as a handy guide to weigh the pros and cons of these commonly used machine learning algorithms.
Find more tutorials on the SAS Users YouTube channel.