Example of Naive Bayes
1.
Select Help > Sample Data Library and open Diabetes.jmp.
2.
Select Analyze > Predictive Modeling > Naive Bayes.
3.
Select Y Binary and click Y, Response.
4.
Select Age through Glucose and click X, Factor.
5.
Select Validation and click Validation.
6.
Figure 8.2 Naive Bayes Report
Figure 8.3 Prediction Profiler for Disease Progression
8.
Click the red triangle next to Prediction Profiler and select Assess Variable Importance > Independent Uniform Inputs.
Figure 8.4 Variable Importance
The Summary Report indicates that HDL, BMI, and LTG have the greatest impact on the estimated probabilities.
Figure 8.5 Marginal Model Plots Report
The second row of plots in the Marginal Model Plots report shows that higher values of HDL are associated with a lower probability of classifying a patient as High. Also, higher BMI and LTG values are associated with a higher probability of classifying a patient as High.

Help created on 7/12/2018