Scenario and data sets: Add and monitor challenger models

This tutorial adds a competing TreeNet® Classification model and a competing Random Forest® Classification model to an existing deployment. We evaluate the new challenger models to determine whether we have a suitable replacement model if the champion model degrades.

We use the same heart disease scenario data sets as the tutorial for deploying a Minitab model. In that tutorial, we covered the steps for creating and deploying a model from Minitab. For more information on the heart disease scenario, go to Deployment scenario and data sets: Deploy a Minitab model.

Data sets

This tutorial illustrates the addition of two challenger models created in Minitab® Statistical Software.

TreeNet® Classification model: HeartDiseaseTreeNet.mpx
Random Forests® Classification model: HeartDiseaseRandomForest.mpx

Note

To learn more about creating the challenger models in Minitab, go to Example of TreeNet Classification and Example of Random Forests Classification.