Model Monitoring and Drift

Changed data is a signal, not a verdict

A new region or a seasonal change can shift the inputs without reducing prediction quality. Conversely, quality can fall while the input distributions look familiar. Monitor input health, prediction behaviour, service health, and mature outcomes separately.

Compare meaningful cohorts with the same label-maturity rule. Missing outcomes are unknown, not negative. Record what fraction of recent predictions still lacks a trustworthy label.