hello

I am trying to assess the performance of two models one is discrete and the other has the same structure but I kept continuous values.

My aim is to assess the sensitivity to findings " Value of information (VOI) " and sensitivity to parameters through the computation of the Posterior Probability Certainty index (through Posterior probability distribution), AUC, and ROC curves.

1. It is easy to find VOI in the GUI however where and how I can see the posterior probability distribution for the target node?

2. The VOI is found in discrete but not in hybrid networks. So my question what are the common metrics that can be evaluated for both types of networks?

3. Also how are the sensitivity to findings and sensitivity to parameters evaluated in hybrid networks?

I would really appreciate your help. Also if someone has already done this comparison in performance for discrete and hybrid networks would really appreciate their suggestion and help.