The Fuzzy ROC

2019/03/04 by Giovanni Parmigiani, Parmigiani, Giovanni
Computer Science · #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Imbalanced Data Classification Techniques #Machine Learning (stat.ML) #Other Statistics (stat.OT) #Rough Sets and Fuzzy Logic

paper · pdf · doi:10.48550/arxiv.1903.01868

openalex publication_date 2019/03/04 · openalex created_date 2022/09/03 · openalex updated_date 2026/07/28

Abstract

The fuzzy ROC extends Receiver Operating Curve (ROC) visualization to the situation where some data points, falling in an indeterminacy region, are not classified. It addresses two challenges: definition of sensitivity and specificity bounds under indeterminacy; and visual summarization of the large number of possibilities arising from different choices of indeterminacy zones.

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