Using consensus ensembles to identify suspect data
View/
Cite this item:
Clark, D. (2000). Using consensus ensembles to identify suspect data (Information Science Discussion Papers Series No. 2000/17). University of Otago. Retrieved from http://hdl.handle.net/10523/967
Permanent link to OUR Archive version:
http://hdl.handle.net/10523/967
Abstract:
In a consensus ensemble all members must agree before they classify a data point. But even when they all agree some data is still misclassified. In this paper we look closely at consistently misclassified data to investigate whether some of it may be outliers or may have been mislabeled.
Date:
2000-11
Publisher:
University of Otago
Pages:
11
Series number:
2000/17
Research Type:
Discussion Paper
Collections
- Knowledge Engineering Laboratory [25]
- Information Science [478]
- Discussion Paper [433]