A comparative study on concept drift detectors
We evaluated eight different concept drift detectors. A 2k factorial design was used to indicate the best parameters for each method. Tests compared accuracy, evaluation time, false alarm and miss detection rates. A Mahalanobis distance is proposed as a metric to compare drift methods. DDM was the method that presented the best average results in all tested datasets.
concept drift detectors data streams time-changing data comparison