What do you mean by accuracy? Proportion classified correctly is not a good
index of accuracy if that's the problem.
Frank
rahul143 wrote
> Hi,
>
> I ran two svm models in R e1071 package: the first without
> cross-validation and the second with 10-fold cross-validation.
>
> I used the follow
responding to my own question, I see in ?svm man it states fitted() and
predict() can do the same thing:
# test with train data
pred <- predict(model, x)
# (same as:)
pred <- fitted(model)
On Nov 21, 2012, at 1:08 AM, signal wrote:
> Did you ever receive a response to this? I did not see one
Did you ever receive a response to this? I did not see one public.
I would think that if your dataset was of a large enough size, that 10-fold
validation would show an improvement over N:N.
Also, any ideas if there is any difference really in using fitted() vs.
predict() in your second step? I am
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