Monitoring ML models in production when labels arrive weeks later
Accuracy is the metric everyone wants, and for many models the labels arrive weeks or months after the prediction. This guide covers what to monitor in the meantime: data quality, input drift with PSI and KS tests, prediction drift, and alert design that does not cry wolf.