How to compute confusion matrix for cross-validated Naive-Bayes model?

1) Let mdlNB be a Naive-Bayes-classification-model. Then you can compute the confusion matrix as follows:

N=resubPredict(mdlNB)
[ldaResubCM,grpOrder]=confusionmat(resp,N)

2) Let mdlNBCV be a cross-validated-Naive-Bayes-Model (e.g.

mdlNBCV=crossval(mdlNB, 'CVPartition', cp)

)

Then the code above doesn't work:

NCV=resubPredict(mdlNBCV)

"Undefined function 'resubPredict' for input arguments of type 'classreg.learning.partition.classification.PartitionedModel'

How can I resolve this problem?

[Mihaela Jarema]

I think the code does not work, because mdlNB is a ClassificationNaiveBayes classifier, while mldNBCV is not a ClassificationNaiveBayes model, but a ClassificationPartitionedModel cross-validated, naive Bayes model, with a different set of methods. How about using another method instead, maybe kfoldPredict?