A data scientist is training a SageMaker model to predict delivery times (in minutes) for a logistics company. The dataset contains a small number of extreme outliers caused by rare weather events that are considered legitimate but should not dominate the optimization. Business stakeholders want the model's typical prediction error to be reported in the same unit (minutes) and want the metric to be less sensitive to those rare extreme errors. Which evaluation metric best fits these requirements?