A comprehensive analysis of concept drift locality in data streams

Gabriel Jonas Aguiar, Alberto Cano

Abstract: Highlights•New taxonomy of concept drift by number of classes and magnitude of the drift.•2760 benchmarks to evaluate drift detectors under local and global drifts.•Comprehensive study of concept drift locality for both binary and multi-class data.•Understanding of the strengths and weaknesses in top-performing drift detectors.