What is hybrid architecture for classification systems (rules + ML)?

Hybrid classification architecture combines rule-based systems with machine learning models.

In production, rule engines handle deterministic cases while ML models handle ambiguous or probabilistic cases. This improves interpretability and reduces risk. The system often uses rules as filters or overrides before/after ML inference.