What is hierarchical classification architecture?

Hierarchical classification organizes labels into a tree structure and predicts classes at multiple levels.

Instead of flat classification, hierarchical models first predict coarse categories and then refine predictions into subcategories. This reduces complexity and improves accuracy in large label spaces. Errors at higher levels propagate downward, so architectures often include confidence thresholds and fallback mechanisms.