What is a multi-stage classification pipeline architecture?

A multi-stage classification pipeline breaks prediction into sequential filtering stages to improve efficiency and accuracy.

Instead of using a single heavy model, systems use cascaded classifiers. Early stages use lightweight models to filter obvious negatives, while later stages use complex models for fine-grained classification. This reduces latency and compute cost. It is widely used in search ranking, fraud detection, and content moderation systems.