Metrics Used When Evaluating the Performance of Statistical Classifiers

Daniel R Jeske
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Daniel R Jeske: Department of Statistics, University of California, USA

Biostatistics and Biometrics Open Access Journal, 2018, vol. 8, issue 1, 7-9

Abstract: This article reviews important performance metrics that are used to evaluate the accuracy of statistical classifiers. How the metrics are used to construct Receiver Operator Characteristic (ROC) curves, Predictive ROC (PROC) curves, and Precision-Recall (PR) curves is also discussed. Relationships between the metrics are revealed.

Keywords: Biometrics Open Access Journal; Biostatistics and Biometrics; Biostatistics and Biometrics Open Access Journal; Open Access Journals; biometrics journal; biometrics articles; biometrics journal reference; biometrics journal impact factor; biometrics and biostatistics journal impact factor; journal of biometrics; open access juniper publishers; juniper publishers reivew (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:adp:jbboaj:v:8:y:2018:i:1:p:7-9

DOI: 10.19080/BBOAJ.2018.08.555728

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