I'm looking at running a neural network to predict the probability of a turtle becoming entangled in a fishing net. My input variables are fishing net characteristics that include continuos and categorical values (that i have scaled between 0 and 1) and my output is either 1(present) or 0 (absent).
My question is: Am i correct in saying this is a classification problem and i should be using the 'nnet' package, since 'neuralnet' only deals with regression?
Thanks for your time
UPDATE: Here is some code i used for cross validating
Model1<-train(Turtles~Twine+Mesh+Black+Blue+Green+Red+Orange+Yellow+Synthetic+Braided+Mono+Multi+X1+X2+X3+X4+X5+X16,data=train_Hypep,method='neuralnet', preProc = c("center", "scale"),trControl=ControlParameters) `