Performance Measures in Binary Classification

Matthias Kohl

doi:10.6000/1929-6029.2012.01.01.08

Performance Measures in Binary Classification

Authors

Matthias Kohl Department of Mechanical and Process Engineering, Furtwangen University, Jakob-Kienzle-Str. 17, D-78054 VS-Schwenningen, Germany

DOI:

https://doi.org/10.6000/1929-6029.2012.01.01.08

Keywords:

Sensitivity, specificity, positive predictive value, negative predictive value, positive likelihood ratio, negative likelihood ratio, prevalence, ROC curve, AUC, informative diagnostic test

Abstract

We give a brief overview over common performance measures for binary classification. We cover sensitivity, specificity, positive and negative predictive value, positive and negative likelihood ratio as well as ROC curve and AUC.

Author Biography

Matthias Kohl, Department of Mechanical and Process Engineering, Furtwangen University, Jakob-Kienzle-Str. 17, D-78054 VS-Schwenningen, Germany

Department of Mechanical and Process Engineering

References

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Biggerstaff BJ. Comparing diagnostic tests: a simple graphic using likelihood ratios. Statist Med 2000; 19: 649-63. http://dx.doi.org/10.1002/(SICI)1097-0258(20000315)19:5<649::AID-SIM371>3.0.CO;2-H DOI: https://doi.org/10.1002/(SICI)1097-0258(20000315)19:5<649::AID-SIM371>3.0.CO;2-H

Deeks JJ, Altman DG. Diagnostic tests 4: likelihood ratios. BMJ 2004; 329(7458): 168-69. http://dx.doi.org/10.1136/bmj.329.7458.168 DOI: https://doi.org/10.1136/bmj.329.7458.168

Altman DG, Bland JM. Diagnostic tests 2: predictive values. BMJ 1994; 309(6947): 102. http://dx.doi.org/10.1136/bmj.309.6947.102 DOI: https://doi.org/10.1136/bmj.309.6947.102

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Published

2012-10-02

How to Cite

Kohl, M. (2012). Performance Measures in Binary Classification. International Journal of Statistics in Medical Research, 1(1), 79–81. https://doi.org/10.6000/1929-6029.2012.01.01.08

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Issue

Vol. 1 No. 1 (2012)

Section

General Articles

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Authors are permitted and encouraged to post links to their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work .