Survival Analysis for Data Drift and ML Reliability

Survival analysis treats model degradation as a time-to-failure problem using Weibull distributions with shape parameter β and scale parameter η. Data drift modifies the scale parameter, compressing failure times toward earlier breakdowns. The approach distinguishes events from censored cases to plan retraining schedules without bias.