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1.
Select Help > Sample Data Library and Diabetes.jmp.
2.
Select Analyze > Predictive Modeling > Partition.
3.
Select Y Binary and click Y, Response.
4.
Select Age through Glucose and click X, Factor.
5.
Enter 0.33 for the Validation Portion.
Note: In JMP Pro, a validation column can be used for validation. Select Validation and click Validation. Set the Validation Portion to 0.
6.
7.
On the platform report window, click Go to perform automatic splitting.
Figure 5.2 Partition Report for Diabetes
Figure 5.3 Column Contributions Report
The Column Contributions report shows that LTG and BMI are the only predictors in the decision tree model. Each column is used in two splits. Your results can differ. When the Validation Portion is used, the validation set is selected at random from the data table. If you redo your analysis, a new random validation set is selected and your results can differ from your first run.
Figure 5.4 Profiler for Partition Model
The profiler enables you to change the values of BMI and LTG to obtain the predicted Y Binary outcome. No other factors had a split in the partition model. Their profiles are flat lines.
10.
In the Diabetes.jmp data table, columns called Prob(Y Binary==Low), Prob(Y Binary==High), and Most Likely Y Binary are added. To see how these response probabilities are calculated, in the Columns panel, next to each column, double-click the Formula icon .

Help created on 3/19/2020