PL EN


2014 | 3 | 302 |
Article title

ON THE SELECTED METHODS FOR EVALUATING CLASSIFICATION MODELS

Content
Title variants
Languages of publication
EN
Abstracts
EN
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.  
Year
Volume
3
Issue
302
Physical description
Dates
published
2014-11-09
Contributors
References
Document Type
Publication order reference
Identifiers
YADDA identifier
bwmeta1.element.ojs-issn-2353-7663-year-2014-volume-3-issue-302-article-59
JavaScript is turned off in your web browser. Turn it on to take full advantage of this site, then refresh the page.