With this example Automated Modeling for a Flag Target flow, you used the Auto Classifier node to compare a number of different models, used the three most accurate models, and added them to the flow within an ensembled Auto Classifier model nugget.

• Based on overall accuracy, the XGBoost Tree, C5.0, and C&R Tree models performed best on the training data.
• The ensembled model performed nearly as well as the best of the individual models and may perform better when applied to other datasets. If your goal is to automate the process as much as possible, this approach allows you to obtain a robust model under most circumstances without having to dig deeply into the specifics of any one model.