Work

Accuracy and cut‐off point selection in three‐class classification problems using a generalization of the Youden index

Year: 2010

Type: article

Abstract: We study properties of the index J(3), defined as the accuracy, or the maximum correct classification, for a given three-class classification problem. Specifically, using J(3) one can assess the discrimination between the three distributions and obtain an optimal pair of cut-off points c(1)

Source: Statistics in Medicine

DOI: 10.1002/sim.4044

Authors: Christos T. Nakas,, Todd A. Alonzo, Constantin T. Yiannoutsos

Institutions: University of Thessaly, University of Southern California, Indiana University Indianapolis, Indiana University School of Medicine

Language: English

Topic: Imbalanced Data Classification Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funders: National Institutes of Health, National Institute of Neurological Disorders and Stroke

Awards: G136028817, In vivo proton MRS studies:cerebral injury in HIV infection, G821143636