ON THE SELECTED METHODS FOR EVALUATING CLASSIFICATION MODELS

Małgorzata Misztal · Lodz University Press · 2014

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Author / responsible party

Małgorzata Misztal

Publisher

Lodz University Press

Year

2014

ISSN

0208-6018

ISSN

0208-6018

Language

English

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Traditional measures for assessing the performance of classification models for binary outcomes are the ROC curve and the area under the ROC curve (AUC). Reclassification tables (Cook, 2008), net reclassification improvement (NRI) and integrated discrimination improvement (IDI) (Pencina et al., 2008) or decision – analytic measures with decision curve analysis (Vickers & Elkin, 2006) have been recently proposed for evaluating the predictive ability of classifiers. This paper analyzes the measures mentioned above with some credit taking application.

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APA 7

Misztal, M. (2014). ON THE SELECTED METHODS FOR EVALUATING CLASSIFICATION MODELS. https://czasopisma.uni.lodz.pl/foe/article/view/59

MLA

Misztal, Małgorzata. "ON THE SELECTED METHODS FOR EVALUATING CLASSIFICATION MODELS." 2014. https://czasopisma.uni.lodz.pl/foe/article/view/59.

Chicago

Misztal, Małgorzata. 2014. "ON THE SELECTED METHODS FOR EVALUATING CLASSIFICATION MODELS.". https://czasopisma.uni.lodz.pl/foe/article/view/59.

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Misztal, M. 2014, ON THE SELECTED METHODS FOR EVALUATING CLASSIFICATION MODELS, Lodz University Press, available at: https://czasopisma.uni.lodz.pl/foe/article/view/59 [Accessed 10 Aug. 2026].

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Title: ON THE SELECTED METHODS FOR EVALUATING CLASSIFICATION MODELS

Author / contributors: Małgorzata Misztal

Publisher: Lodz University Press

Publication year: 2014

ISSN: 0208-6018

ISSN: 0208-6018

Language: English

Subjects

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classifier performance predictive ability ROC curve reclassification decision curve