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An Anthology of Parametric ROC Models

S. Balaswamy, R. Vishnu Vardhan


In the context of classification problems, ROC curve has gained its importance in classified fields. The so called parametric form of ROC curve, namely, Binormal ROC model was developed by assuming normal distributions. However, the practical situations in classifying individuals/objects demanded new forms of ROC models. The present paper brings out an insight into the theoretical development of different parametric forms of ROC models and its measures.


AUC, Binormal ROC curve, Hybrid ROC curves, KLD and Optimal Threshold

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