# Which neural network package should i use?

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?

UPDATE: Here is some code i used for cross validating

ControlParameters<-trainControl(method="cv",number=10, classProb=FALSE)

parameterGrid<- expand.grid(layer1=1:5,layer2=1:5,layer3=1:5)

Model1<-train(Turtles~Twine+Mesh+Black+Blue+Green+Red+Orange‌​+Yellow+Synthetic+Br‌​aided+Mono+Multi+X1+‌​X2+X3+X4+X5+X16,data‌​=train_Hypep,method=‌​'neuralnet', preProc = c("center", "scale"),trControl=ControlParameters)