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chidata
2006 Feb 02
0
problem with nnet
...ts is the class
indicator of the significant genes.
5> Then I am using the data from the chips left out from samr(20% chip
data) to test the nnet.
I use the following command for this:
pred <-predict(result, testdata) #result is the nnet output(given
above) and testdata is the chipdata of remainder chips.
6>I run the nnet part for 100 runs using the same significant genes in
all runs.
The problem is that the pred in each run gives same values for both the
classes.
Example:
[1] "pred----->"
cer noncer
[1,] 0.4990032 0.5009930
[2,] 0.4990032 0.5009...