Accuracy Measures for Binary Classification Based on a Quantitative Variable

Accuracy Measures for Binary Classification Based on a Quantitative Variable

The identification of the right methodology to perform binary classification based on an observed quantitative variable is usually a complex choice. Thus, the use of appropriate accuracy measures is crucial. In fact, the ROC curve reveals a lot of information about the accuracy of the applied metho...

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Bibliographic Details
Main Authors: Rui Santos, Miguel Felgueiras, João Paulo Martins, Liliana Ferreira Liliana Ferreira
Format: Article
Language:English
Published: Instituto Nacional de Estatística | Statistics Portugal 2019-04-01
Series:Revstat Statistical Journal
Subjects:
Binary classification
cut-point
ROC curve
sensitivity
specificity
simulation
Online Access:https://revstat.ine.pt/index.php/REVSTAT/article/view/266

Internet

https://revstat.ine.pt/index.php/REVSTAT/article/view/266

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