Univariate vs Multivariate Drift
Catch shifts single features alone would miss.
One Feature at a Time
The simplest way to watch for drift is to check each feature on its own. That is called univariate drift detection, and it is where most teams start. 📊
How Univariate Checks Work
For univariate drift, you compare each feature's current distribution against its training reference, one column at a time, with tests like PSI or the KS statistic.
All lessons in this course
- Univariate vs Multivariate Drift
- Monitor Performance with Delayed Labels
- Tune Windows to Cut False Alarms
- Wire Drift Alerts to Retraining