Dropping test data with nnet AI

[Daniel_R]

Hi!
When calculating an AI with the nnet method, 25% is used to test the data, and 75% is used to train. When clicking on the calculated AI's stats, under "control" there is a stat p with a value of 0.75, however changing p in the AI's declaration according to p = 1 for example doesn't work, it causes a syntax error. I have also found nothing else in the declaration of an nnet ai that fits. How can this be done?

[GreyMerchant]

Almost no one is going to be able to help you without something more substantial or a reprex to be honest. See here: FAQ: How to do a minimal reproducible example ( reprex ) for beginners

[Daniel_R]

library(caret)

Fruit<-c("Banana", "Apple", "Banana", "Orange", "Appel")
Origin<-c("New Guinea", "China","Germany", "USA", "Germany")
Quality<-c("Good", "Bad", "Good", "Very bad", "Decent")
Price<-c(1,2,1,3,1)

Fruits<-data.frame(Fruit, Origin, Quality, Price)
n <- 50
Fruits.replicated<-do.call("rbind", replicate(n, Fruits, simplify = FALSE))

KI <- train(
  x = as.data.frame(subset(Fruits.replicated, select=-c(`Price`))),
  y = Fruits.replicated$`Price`,
  method = "nnet",
  preProc = c("center", "scale"),
  trControl = trainControl(
    search = "random",
    allowParallel = TRUE,
    savePredictions = "final"
  ),
  tuneLength = 5,
  maxit = 500,
  MaxNWts = 5000,
  linout = TRUE,
  trace = TRUE
)

Let's use the example above. From what I know, 75% of the data in used for training, and 25% for testing. The value 0.75 (75%) coincides with the variable p in the neural network "AI", which can be found when clicking on "KI" and then "control".
Now to my question: Is it correct, that only 75% is used for actual training? If so, how can I change the value? Is the variable "p" responsible?