Model Drift - How do you capture a model drift?

Model drift can manifest in several ways, including changes to concepts, variables, and prior probabilities. The performance of the model and the descriptive statistics of the input characteristics may be monitored to detect drift. To further aid in drift detection, statistical tests may be used to track changes in the distribution of input data.