Trying to plot an ROC curve to determine effectiveness of a neural network model
in R.
using the neuralnet package I created nn1a:
nn1a<-neuralnet(warstns ~ aigenlz+
p2l+anoclinv2+flinstab+mill+minconl+fllgdppclz+lpoplz+floil+flmtnestz+c_peaceyears,
data=na.omit(dfram1), hidden=4)
then using the lroc function from the epicalc package I tried lroc(nn1a) but
came up with the error message
Error in `colnames<-`(`*tmp*`, value = c("Non-diseased",
"Diseased")) :
length of 'dimnames' [2] not equal to array extent
Does anyone know any ways to get ROC curves to work with neural network models?
Any other packages, model manipulation, etc?
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