Quick guide to using advanced ensemble methods in SAS Enterprise Miner

Last month at SAS Global Forum 2016, I presented the paper, Ensemble Modeling: Recent Advances and Applications, that I wrote along with my colleagues yeliu and M_Maldonado. In this paper, we shared a SAS Enterprise Miner subflow that can be incorporated into your predictive modeling flow to implement the following ensemble methods that take model performance into account: top-t, hill-climbing, clustering-based selection, and stacking methods. After importing this XML file into your project, you can copy the entire flow into the diagram that has your predictive modeling flow, connect the flows together, and run. See the README file for instructions on how to import these XML files and quickly get started with these more sophisticated ensemble methods. Note there are several nodes that directly create ensemble models in SAS Enterprise Miner, and they've been covered in previous SAS Global Forum papers: See Leveraging Ensemble Models in SAS Enterprise Miner and The Power of the Group Processing Facility in SAS Enterprise Miner for more information.