How well does Classification Accuracy capture Concept Drift Detection Quality? An overview of Concept Drift Detection evaluation

ArXi:2605.31186v1 Announce Type: new Data streams are nowadays among the most frequently analyzed data structures, with the concept drift posing a major challenge encountered by processing systems. Despite the proposition of numerous solutions to counteract the accuracy degeneration due to concept drift, the scientific community has not yet established a unified framework for evaluating the concept drift detection task. Existing research often relies on classification quality metrics, but these can be affected by multiple factors and may not reliably reflect drift detection quality.