classification model And Classifica​tionPartit​ionedModel

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whdm818
whdm818 2018 年 1 月 4 日
コメント済み: whdm818 2018 年 1 月 15 日
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"？

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回答 (1 件)

Vishwas Kumar
Vishwas Kumar 2018 年 1 月 9 日
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.

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