A data scientist was advised to always use 5-fold cross-validation in their model creation process. However, a team member suggests that sometimes a simple training-validation split might be preferable, especially when k equals 2 in k-fold cross-validation. Which of the following best describes a potential advantage of using a training-validation split over k-fold cross-validation in this scenario?