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Model selection via the AUC

Twenty-first international conference on Machine learning - ICML '04, 2004
We present a statistical analysis of the AUC as an evaluation criterion for classification scoring models. First, we consider significance tests for the difference between AUC scores of two algorithms on the same test set. We derive exact moments under simplifying assumptions and use them to examine approximate practical methods from the literature. We
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AUC Maximization in the Era of Big Data and AI: A Survey

ACM Computing Surveys, 2023
Tianbao Yang, Yiming Ying
exaly  

CPGs and AUCs

Foot & Ankle International, 2015
openaire   +2 more sources

Cmax/AUC, A Commentary

Pharmaceutical Research, 1997
T N, Tozer, W W, Hauck
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AUC

2010
Jean-Michel Scherrmann   +199 more
openaire   +1 more source

A Modified AUC for Training Convolutional Neural Networks: Taking Confidence Into Account

Frontiers in Artificial Intelligence, 2021
Khashayar Namdar   +2 more
exaly  

AUC: Accountable Universal Composability

2023 IEEE Symposium on Security and Privacy (SP), 2023
Mike Graf 0001   +2 more
openaire   +2 more sources

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