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Binary classifier metrics for optimizing HEP event selection
I discuss the choice of evaluation metrics for binary classifiers in High Energy Physics (HEP) event selection and I point out that the Area Under the ROC Curve (AUC) is of limited relevance in this context, after discussing its use in other domains. I propose new metrics based on Fisher information...
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| Lenguaje: | eng |
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2019
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| Acceso en línea: | https://dx.doi.org/10.1051/epjconf/201921406004 http://cds.cern.ch/record/2699582 |