Tambe Ankit Sampat

From Drift Detection to Diagnosis: An Explainable Framework for Deployed Machine Learning

Machine learning (ML) models are increasingly deployed in real-world environments where data characteristics, user behaviour, and operating conditions may change over time. Such changes can lead to data or concept drift and may gradually reduce model reliability. Existing monitoring approaches can identify distribution...