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Overrating Classifier Performance in ROC Analysis in the Absence of a Test Set:...
Cilluffo, G; Fasola, SJ; Ferrante, G; Montalbano, L; Baiardini, I; Indinnimeo, L; Viegi, G; Fonseca, JA; La Grutta, SBACKGROUND: 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 of overrating the test performance. METHODS: A simulation study was performed to highlight the inferential implications of s...
Data: 2019
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Origem: Saúde - CUF