classification model And Classifica​tionPartit​ionedModel

According to what I have learnt, I could use "CVMdl = crossval(Mdl)" to create a cross-validated classification model from a classification model. But, I'm not sure about the function of the "CVMdl".

Question: Is the "CVMdl" just for cross validation? If the result of the "kfoldLoss" is good, could I use the "Mdl"？

Answer 1

[Vishwas Kumar]

CVMdl is the cross validated model, you can find things like cross-validated classification losses, cross-validated classification edges, class labels predicted by the cross-validated ECOC model, etc.

And yes, based on the results of Kfoldloss, you can use Mdl further.

[whdm818]

Thank you.