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A data scientist learned during their training to always use 5-fold cross-validation in their model development workflow. A colleague suggests that there are cases where a train-validation split could be preferred over k-fold cross-validation when k > 2. Which of the following describes a potential benefit of using a train-validation split over k-fold cross-validation in this scenario?