arXiv · 2401.11993
Expert-Driven Monitoring of Operational ML Models
Abstract
We propose Expert Monitoring, an approach that leverages domain expertise to enhance the detection and mitigation of concept drift in machine learning (ML) models. Our approach supports practitioners by consolidating domain expertise related to concept drift-inducing events, making this expertise accessible to on-call personnel, and enabling automatic adaptability with expert oversight.
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Joran Leest, Claudia Raibulet, Ilias Gerostathopoulos, Patricia Lago. 2024-01-22. Expert-Driven Monitoring of Operational ML Models. https://arxiv.org/abs/2401.11993
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