Overrating Classifier Performance in ROC Analysis in the Absence of a Test Set: Evidence from Simulation and Italian CARATkids Validation

BACKGROUND: The use of receiver operating characteristic curves, or "ROC analysis," has become quite common in biomedical research to support decisions. However, sensitivity, specificity, and misclassification rates are still often estimated using the training sample, overlooking the risk...

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Detalhes bibliográficos
Autor principal: Cilluffo, G (author)
Outros Autores: Fasola, SJ (author), Ferrante, G (author), Montalbano, L (author), Baiardini, I (author), Indinnimeo, L (author), Viegi, G (author), Fonseca, JA (author), La Grutta, S (author)
Formato: article
Idioma:eng
Publicado em: 2020
Assuntos:
Texto completo:http://hdl.handle.net/10400.26/31738
País:Portugal
Oai:oai:comum.rcaap.pt:10400.26/31738