Literature DB >> 19188107

The validity of three-class Hotelling trace (3-HT) in describing three-class task performance: comparison of three-class volume under ROC surface (VUS) and 3-HT.

Xin He1, Eric C Frey.   

Abstract

In order to describe multiclass classification performance, several figures of merit (FOM) have been proposed. Among the earliest and most widely known of these is the three-class Hotelling trace (3-HT). The goal of this paper is to present theoretical and empirical data demonstrating the failure of 3-HT as a measure of three-class task performance. To help do this, we contrast it to a newly proposed three-class FOM, the volume under the three-class receiver operating characteristic (ROC) surface (VUS). The VUS is obtained from a decision theory based three-class ROC analysis method which has been proved to extend the decision theoretic, linear discriminant analysis (LDA), and psychophysical foundations of binary ROC analysis to a three-class paradigm. We demonstrate empirically that the VUS and 3-HT do not have a monotonic relationship in general when describing three-class task performance. Numerical experiments demonstrated that the VUS provided reasonable results, while the 3-HT failed to distinguish between the case where all objects could be perfectly classified from the case where only one pair of the classes could be perfectly classified. We have provided theoretical explanations of this failure of 3-HT. The significance of this work goes beyond merely demonstrating the problems of the 3-HT, it demonstrates that a FOM that is mathematically correct and has a strong theoretical basis can provide results that violate a common sense understanding of three-class task performance. This fact raises the question of "how to evaluate a classification performance evaluation method?" We believe the answer to this question lies in the theoretical foundations of binary ROC analysis. We have thus contrasted the two FOMs in terms of three fundamental theories underlying binary ROC analysis: decision theory, binary linear discriminant analysis, and the equivalence of two psychophysical classification procedures. These theoretical investigations demonstrated the importance of extending and unifying all the fundamental theories of binary classification in the development of a three-class FOM; violating one of theses fundamental binary classification theories may, as it did for the L-HT, provide predictions of three-class task performance that do not agree with a common sense understanding of three-class task performance.

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Mesh:

Year:  2009        PMID: 19188107      PMCID: PMC2760394          DOI: 10.1109/TMI.2008.928919

Source DB:  PubMed          Journal:  IEEE Trans Med Imaging        ISSN: 0278-0062            Impact factor:   10.048


  20 in total

1.  Comparing three-class diagnostic tests by three-way ROC analysis.

Authors:  S Dreiseitl; L Ohno-Machado; M Binder
Journal:  Med Decis Making       Date:  2000 Jul-Sep       Impact factor: 2.583

2.  The hypervolume under the ROC hypersurface of "near-guessing" and "near-perfect" observers in N-class classification tasks.

Authors:  Darrin C Edwards; Charles E Metz; Robert M Nishikawa
Journal:  IEEE Trans Med Imaging       Date:  2005-03       Impact factor: 10.048

3.  Restrictions on the three-class ideal observer's decision boundary lines.

Authors:  Darrin C Edwards; Charles E Metz
Journal:  IEEE Trans Med Imaging       Date:  2005-12       Impact factor: 10.048

4.  Three-class ROC analysis--a decision theoretic approach under the ideal observer framework.

Authors:  Xin He; Charles E Metz; Benjamin M W Tsui; Jonathan M Links; Eric C Frey
Journal:  IEEE Trans Med Imaging       Date:  2006-05       Impact factor: 10.048

5.  An optimal three-class linear observer derived from decision theory.

Authors:  Xin He; Eric C Frey
Journal:  IEEE Trans Med Imaging       Date:  2007-01       Impact factor: 10.048

6.  The meaning and use of the volume under a three-class ROC surface (VUS).

Authors:  Xin He; Eric C Frey
Journal:  IEEE Trans Med Imaging       Date:  2008-05       Impact factor: 10.048

7.  Three-way ROCs.

Authors:  D Mossman
Journal:  Med Decis Making       Date:  1999 Jan-Mar       Impact factor: 2.583

8.  Multiple-Event Forced-Choice Tasks in the Theory of Signal Detectability

Authors: 
Journal:  J Math Psychol       Date:  1996-09       Impact factor: 2.223

9.  Three-class ROC analysis--the equal error utility assumption and the optimality of three-class ROC surface using the ideal observer.

Authors:  Xin He; Eric C Frey
Journal:  IEEE Trans Med Imaging       Date:  2006-08       Impact factor: 10.048

10.  The meaning and use of the area under a receiver operating characteristic (ROC) curve.

Authors:  J A Hanley; B J McNeil
Journal:  Radiology       Date:  1982-04       Impact factor: 11.105

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  3 in total

1.  The meaning and use of the volume under a three-class ROC surface (VUS).

Authors:  Xin He; Eric C Frey
Journal:  IEEE Trans Med Imaging       Date:  2008-05       Impact factor: 10.048

2.  Numerical observer for atherosclerotic plaque classification in spectral computed tomography.

Authors:  Auranuch Lorsakul; Georges El Fakhri; William Worstell; Jinsong Ouyang; Yothin Rakvongthai; Andrew F Laine; Quanzheng Li
Journal:  J Med Imaging (Bellingham)       Date:  2016-07-12

Review 3.  Current perspectives in medical image perception.

Authors:  Elizabeth A Krupinski
Journal:  Atten Percept Psychophys       Date:  2010-07       Impact factor: 2.199

  3 in total

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