English

How good is the Electricity benchmark for evaluating concept drift adaptation

Machine Learning 2013-01-17 v1

Abstract

In this correspondence, we will point out a problem with testing adaptive classifiers on autocorrelated data. In such a case random change alarms may boost the accuracy figures. Hence, we cannot be sure if the adaptation is working well.

Cite

@article{arxiv.1301.3524,
  title  = {How good is the Electricity benchmark for evaluating concept drift adaptation},
  author = {Indre Zliobaite},
  journal= {arXiv preprint arXiv:1301.3524},
  year   = {2013}
}

Comments

2 pages of content, 1 appendix, 2 figures

R2 v1 2026-06-21T23:10:01.832Z