Data Science | Test | Training
Post-hoc Prediction Correction: Long-Term Bias & Short-Term Drift
A trained regressor that performs well on historical data often drifts in production for two distinct reasons: Retraining is the principled fix for both, but it is expensive and sometimes impossible (no fresh labels, frozen model in a regulated pipeline). A cheap, production-friendly alternative is a two-term post-hoc correction: 1. Long-term bias (residual_bias) Definition, computed…