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A neutral zone classifier for three classes with an application to text mining
- Publication Year :
- 2023
-
Abstract
- A classifier may be limited by its conditional misclassification rates more than its overall misclassification rate. In the case that one or more of the conditional misclassification rates are high, a neutral zone may be introduced to decrease and possibly balance the misclassification rates. In this paper, a neutral zone is incorporated into a three‐class classifier with its region determined by controlling conditional misclassification rates. The neutral zone classifier is illustrated with a text mining application that classifies written comments associated with student evaluations of teaching.
Details
- Database :
- OAIster
- Notes :
- Friel, Dylan C, Li, Yunzhe, Ellis, Benjamin, Jeske, Daniel R, Lee, Herbert KH, Kass, Philip H
- Publication Type :
- Electronic Resource
- Accession number :
- edsoai.on1401035173
- Document Type :
- Electronic Resource