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Anyway, I have two questions about this article that I would like to ask you kindly:
1) How can connect the “confusionMatrix()” option from “Caret” library to this neural net application, so I can get all the outputs that confusionMatrix() offer?
2) Do you know a way to get “K fold cross-validation” applied here too ( using “neuralnet” package not “nnet”)? I would like to get this done and get averages and sd (standard deviation) results for accuracy, roc, f1, recall, sensitivity specitivity metrics at the same time.
3) So far I know, Caret library does not support “neuralnet” as a method for neural network modeling. Do you know a way to use “neuralnet” with Caret library?
I have been doing some google research but so far I still do not find a clear answer to this questions.