Example of Boosted Tree with a Categorical Response
1.
Select Help > Sample Data and open Bands Data.jmp.
2.
Select Analyze > Predictive Modeling > Boosted Tree.
3.
Select Banding? and click Y, Response.
4.
Select the Predictors column group and click X, Factor.
5.
Enter 0.2 for Validation Portion.
6.
7.
(Optional) In the Reproducibility panel, select Suppress Multithreading and enter 123 for Random Seed.
8.
Figure 6.2 Overall Statistics for Nominal Response
Because the response, Banding?, is categorical, the Boosted Tree analysis provides a Misclassification Rate under Measure and a Confusion Matrix report. The Misclassification Rate for the validation set is 0.2222, or about 22%.
9.
Click the red triangle next to Boosted Tree for Banding? and select Show Trees > Show names categories estimates.
Figure 6.3 Layer 1 of the Boosted Tree
10.
Click the red triangle next to Boosted Tree for Banding? and select Save Columns > Save Prediction Formula.
Columns called Prob(Banding?==noband), Prob(Banding?==band), and Most Likely Banding? are added to the data table. Examine the Prob(Banding?==noband) column to see how model predictions are calculated from the layers.

Help created on 7/12/2018