Reactive Model Maintenance Indicators

From The Foundation for Best Practices in Machine Learning
Technical Best Practices > Monitoring & Maintenance > Reactive Model Maintenance Indicators

Reactive Model Maintenance Indicators

Control

Document, assess, and set thresholds for Model failure and reactive maintenance


Aim

To (a) ensure clear guidelines and indices of Model failure and performance deterioration; (b) reduce the risk of unacknowledged Model failure and performance deterioration; (c) reduce the likelihood of Model decay, ensure robustness and good performance in terms of selected metrics and scenarios; and (d) highlight associated risks that might occur in the Product Lifecycle.


Additional Information