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I'm trying to train an ensemble using the caretList function in the caret package.

I'm using these models:

model_list <- caretList(Ticket_ContrattoTerminato ~ .,
                        train[,-1],
                        trControl = my_control,
                        methodList = c("glm", "svmRadial", "rf", 
                                        "xgbTree"),
                        metric="ROC",
                        tuneList = NULL,
                        continue_on_fail = FALSE, 
                        preProcess = c("center","scale"))

I'd like to tune the hyper parameters for every single model but I don't know how to do it.

Do you have any suggestion?

Thank you!

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