How good is the Electricity benchmark for evaluating concept drift adaptation
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.
- Publication:
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arXiv e-prints
- Pub Date:
- January 2013
- DOI:
- 10.48550/arXiv.1301.3524
- arXiv:
- arXiv:1301.3524
- Bibcode:
- 2013arXiv1301.3524Z
- Keywords:
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- Computer Science - Machine Learning
- E-Print:
- 2 pages of content, 1 appendix, 2 figures