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Published in:
2011 | OriginalPaper | Chapter
Statistical Analyses of Various Error Functions for Pattern Classifiers
Author : Sang-Hoon Oh
Published in: Convergence and Hybrid Information Technology
Publisher: Springer Berlin Heidelberg
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There are various error functions for pattern classifiers. This paper analyzes the error functions such as MSE(mean-squared error), CE(crossentropy) error, AN(additive noise) in MSE, MLS(mean log square) error, and nCE(nth order extension of CE) error functions in a statistical perspective. Also, the analyses include CFM(classification figure of merit). The results of analyses provide considerable insights into the properties of different error functions.