Monitoring and Feedback Loops: Why Prediction Models Need Constant Recalibration
摘要
Predictive fault detection using software systems is not a one-time effort. There are also bound to be changes in the behavior of models due to the dynamics of the underlying data, codebase, and development practices. This is usually referred to as concept drift and it takes place when the statistical properties of the input variables change over time.