To validate the model on the validation set, Mary calibrates the output of the model to examining all possible outcomes of the prediction $($true positive, true negative, false positive, false negative$).$ One way is to use a cutoff value and use functions such as the ifelse $()$ function. These statements are called:

prediction

confusionMatrix

reference

set.seed