Using consensus ensembles to identify suspect data

Clark, David

Using consensus ensembles to identify suspect data

Clark, David

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

Date: 2000-11

Publisher: University of Otago

Pages: 11

Series: Information Science Discussion Papers Series

Series number: 2000/17

Research Type: Discussion Paper

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.

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