A data scientist trains a multiclass classifier in SageMaker to route incoming support tickets into 12 categories. The dataset is highly imbalanced: two categories account for 80% of tickets, while several rare categories each represent under 2%. Business stakeholders emphasize that the model must perform well on ALL categories, including the rare ones, and treat each category as equally important. Which single evaluation metric should the scientist optimize to best reflect this requirement?