Drift Detection: Introducing Gaussian Split Detector

arXiv:2405.08637v1 Announce Type: cross
Abstract: Recent research yielded a wide array of drift detectors. However, in order to achieve remarkable performance, the true class labels must be available during the drift detection phase. This paper targets at detecting drift when the ground truth is unknown during the detection phase. To that end, we introduce Gaussian Split Detector (GSD) a novel drift detector that works in batch mode. GSD is designed to work when the data follow a normal distribution and …

abstract array arxiv class cs.dc cs.lg detection detectors drift however labels paper performance research split targets true truth type