A team adds a GitHub Actions workflow that runs pytest on every pull request to their ML codebase. After merging, a data scientist asks: "Why did the model's accuracy drop from 91% to 87% in production?" The unit tests all passed. What category of ML-specific testing was absent from their CI pipeline?