Concept Drift
← Back to Model Monitoring
When the relationship between inputs and outputs changes over time. The “rules” the model learned are no longer correct. Example: user behavior changes during a pandemic. More insidious than data drift because the input distribution may look the same.
Related
- Data Drift (input distribution changes)
- Retraining Triggers (concept drift triggers retraining)