Hello R-Users,

I have been using (nnet) by Ripley  to train a neural net on a test dataset, I have obtained predictions for a validtion dataset using:

PP<-predict(nnetobject,validationdata)

Using PP I can find the -2 log likelihood for the validation datset.

However what I really want to know is how well my nueral net is doing at classifying my binary output variable. I am new to R and I can't figure out how you can assess the success rates of predictions.

Any help and examples would be much appreciated.

Best wishes,

Nathaniel Grey
Research Associate
Wolfson Research Associate
University of Durham


		
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