Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10351715 | Computers in Biology and Medicine | 2011 | 8 Pages |
Abstract
The quality of dataset has a profound effect on classification accuracy, and there is a clear need for some method to evaluate this quality. In this paper, we propose a new dataset evaluation method using the R-value measure. This proposed method is based on the ratio of overlapping areas among categories in a dataset. A high R-value for a dataset indicates that the dataset contains wide overlapping areas among its categories, and classification accuracy on the dataset may become low. We can use the R-value measure to understand the characteristics of a dataset, the feature selection process, and the proper design of new classifiers.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Sejong Oh,