How to see confusion matrix , training curve and ROC plot in newrb MATLAB?

I am using classification using newrb function matlab (nntoolbox).When I train my network , it is showing training MSE vs no of neurons curve as output result. I want to see other results like confusion matrix , training curve and ROC plot in this function. I already got the result using patternnet but still can get all these results in newrb function. input dataset :70X186 target dataset : 2X186. If anybody has any idea , please let me know. Thanks a lot.

Answer 1

[Greg Heath]

 1. NEWRB does not have 
   a. Designer weight initialization
   b. Datadivision or validation stop options.
   c. Non-equal RADBAS spreads

Therefore, it would probably be more productive to just use PATTERNNET with RADBAS hidden nodes.

However, it might be possible to somehow use NEWRB RADBAS functions in PATTERNET (e.g., for weight initialization).

Hope this gives you food for thought.

Greg