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Please use this identifier to cite or link to this item:
http://hdl.handle.net/10016/13118
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| Title: | Two Information-Theoretic Tools to Assess the Performance of Multi-class Classifiers |
| Author(s): | Valverde-Albacete, Francisco J.
Peláez-Moreno, Carmen |
| Publisher: | Elsevier |
| Issued date: | Sep-2010 |
| Citation: | Pattern Recognition Letters, September 2010, Volume 31, Issue 12, pp. 1665-1671 |
| URI: | http://hdl.handle.net/10016/13118 |
| ISSN: | 0167-8655 |
| DOI: | http://dx.doi.org/10.1016/j.patrec.2010.05.017 |
| Abstract: | We develop two tools to analyze the behavior of multiple-class, or multi-class, classifiers by means of entropic measures on their confusion matrix or contingency table. First we obtain a balance equation on the entropies that captures interesting properties of the classifier. Second, by normalizing this balance equation we first obtain a 2-simplex in a three-dimensional entropy space and then the de Finetti entropy diagram or entropy triangle. We also give examples of the assessment of classifiers with these tools. |
| Sponsor: | Spanish Government-Comisión Interministerial de Ciencia y Tecnología projects 2008-06382/TEC and 2008-02473/TEC and the regional projects S-505/TIC/0223 (DGUI-CM) and CCG08-UC3M/TIC-4457 (Comunidad Autónoma de Madrid – UC3M) |
| Publisher version: | http://dx.doi.org/10.1016/j.patrec.2010.05.017 |
| Keywords: | Multi-class classifier
Confusion matrix
Contingency table
Performance measure
Performance measure
De Finetti diagram
Entropy triangle |
| Rights: | © Elsevier |
| Appears in Collections: | DTSC - GPM - Artículos de Revistas
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