Concept drift
Concept drift: A change over time in the relationship between inputs and expected outcomes that ages learned behavior. Unlike a feature-only shift, it changes what the model should predict. It can be gradual, abrupt or recurring and requires temporal evaluation and retraining strategies.
In italiano: Concept DriftLegge V · Overfitting, bias e collasso dei modelliUnlike a feature-only shift, it changes what the model should predict. It can be gradual, abrupt or recurring and requires temporal evaluation and retraining strategies.
Examples
- New fraud patterns
- Changing user preferences
- Updated business rules