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? [[alternative HTML version deleted]]
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