Anyone? Thanks!


2013/4/4 Nicolás Sánchez <enikok@gmail.com>

> Hello guys!
>
> I am working with some classifiers ( SVM,C4.5,RNA,etc) using 10-C.V.
>
> Once I have the model of each one, I make the validation of these models
> in one dataset. Then,with my model and the dataset, I extract a confusion
> matrix to know the capacity of prediction from the model. And finally, I
> extract the accuracy of this prediction based on the diagonal from the
> confusion matrix.
>
> The fact is that I need to do that process for each partition of 10-CV. I
> need to do 10 times the previous process to obtain the accuracy of each
> partition from CV to know how response each partition in the prediction of
> the dataset.
>
> Do you know any method in R to do it?
>
> Thanks a lot, of course!
>

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