[R] Help on NNET
Thomas W Blackwell
tblackw at umich.edu
Thu Jul 17 16:25:21 CEST 2003
I'm not a nnet() user, but after reading the help, there are
two things you might try, both in the model formula passed to
nnet() in the third line of code below. Alternate version:
pupil.nn2 <- nnet( as.factor(Type) ~ X1 + X2, ...
(with all the remaining arguments as before).
I'm not sure which (if either) of these two variants might do
- tom blackwell - u michigan medical school - ann arbor -
On Thu, 17 Jul 2003, sbinny wrote:
> The following is the script:
> samp<-c(1:50, 112:162, 171:220, 228:278)
> pupil.nn2 <- nnet(Type ~ ., data = pupil, subset = samp, size = 2, rang = 0.1, decay = 5e-4, maxit = 200)
> table(pupil$Type[-samp], predict(pupil.nn2, pupil[-samp,], type = "class"))
> There are totally 351 observations.
> My objective is to classify them into 4 classes.
> Thanks a lot for your help!
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