Disagreement measures from label flipping in IDT ensembles underperform loss-based drift detectors in streaming tabular data due to the limited plasticity of tree models.
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Pitfalls of Unlabeled Disagreement-Based Drift Detection in Streaming Tree Ensembles
Disagreement measures from label flipping in IDT ensembles underperform loss-based drift detectors in streaming tabular data due to the limited plasticity of tree models.