An exact test of the accuracy of binary classification models based on the probability distribution of the average rank

DOI10.1016/j.mcm.2009.04.002zbMath1185.60012OpenAlexW1979047795MaRDI QIDQ969991

Jerrold H. May, Luis G. Vargas

Publication date: 8 May 2010

Published in: Mathematical and Computer Modelling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.mcm.2009.04.002

zbMATH Keywords

hypergeometric seriesdata miningmodel evaluationGaussian polynomial

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Parametric hypothesis testing (62F03) Characteristic functions; other transforms (60E10) Probability distributions: general theory (60E05) Approximations to statistical distributions (nonasymptotic) (62E17)

Cites Work

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• Statistical significance tests for binormal ROC curves
• Comparing the Areas under Two or More Correlated Receiver Operating Characteristic Curves: A Nonparametric Approach
• Measuring Diagnostic Accuracy of Statistical Prediction Rules
• Kathy O'Hara's Constructive Proof of the Unimodality of the Gaussian Polynomials
• A simple generalisation of the area under the ROC curve for multiple class classification problems

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