Machine Learning · 3 min read
Data drift in production: knowing when a model has aged
Models don't fail with errors: they lose accuracy silently as data changes. How to monitor input and prediction drift with PSI, and decide when to retrain.
Predictive models, validation, features and machine learning operations on business data.
Models don't fail with errors: they lose accuracy silently as data changes. How to monitor input and prediction drift with PSI, and decide when to retrain.
Data leakage makes a model shine in validation and fail in production. The most common kinds, how to detect them, and how to validate on time-ordered data.