Pitfalls of Unlabeled Disagreement-Based Drift Detection in Streaming Tree Ensembles
arXiv:2605.12803v1 Announce Type: new
Abstract: Detecting concept drift in high-speed data streams remains challenging, particularly when models must operate on unlabeled data and avoid false alarms caused by benign shifts. While disagreement-based un…