Theoretical Analysis of a Performance Measure for Imbalanced Data

Authors:
V. Garcia;Ramon A. Mollineda;J. Salvador Sanchez
Affiliations:
-;-;-
Venue:
ICPR '10 Proceedings of the 2010 20th International Conference on Pattern Recognition
Year:
2010

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Abstract

This paper analyzes a generalization of a new metric to evaluate the classification performance in imbalanced domains, combining some estimate of the overall accuracy with a plain index about how dominant the class with the highest individual accuracy is. A theoretical analysis shows the merits of this metric when compared to other well-known measures.