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Probabilistic confusion entropy for evaluating classifiers

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Publication:280701
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DOI10.3390/e15114969zbMath1359.62267OpenAlexW1964445786MaRDI QIDQ280701

Xiao-Ning Wang, Han Jin, Hai-Wei Zhang, Jin-Mao Wei, Gang Yu

Publication date: 10 May 2016

Published in: Entropy (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3390/e15114969

zbMATH Keywords

multi-class classificationconfusion entropyprobabilistic confusion entropy


Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Measures of information, entropy (94A17)


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Uses Software

  • rms
  • C4.5


Cites Work

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  • Measuring classifier performance: a coherent alternative to the area under the ROC curve
  • PAV and the ROC convex hull
  • Comparing two \(K\)-category assignments by a \(K\)-category correlation coefficient
  • Measuring the Accuracy of Diagnostic Systems
  • Measuring Diagnostic Accuracy of Statistical Prediction Rules
  • Robust classification for imprecise environments
  • Regression modeling strategies. With applications to linear models, logistic regression and survival analysis
  • A simple generalisation of the area under the ROC curve for multiple class classification problems
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