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Exploring Symmetry of Binary Classification Performance Metrics

 

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Opened Access Exploring Symmetry of Binary Classification Performance Metrics
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Author: Luque Sendra, Amalia
Carrasco Muñoz, Alejandro
Martín Gómez, Alejandro Manuel
Lama-Ruiz, Juan Ramón
Coordinator/Director: Aguayo-González, Francisco
León de Mora, Carlos
Department: Universidad de Sevilla. Departamento de Ingeniería del Diseño
Universidad de Sevilla. Departamento de Tecnología Electrónica
Date: 2019
Published in: Symmetry, 11 (1), 47-.
Document type: Article
Abstract: Selecting the proper performance metric constitutes a key issue for most classification problems in the field of machine learning. Although the specialized literature has addressed several topics regarding these metrics, their symmetries have yet to...
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Cite: Luque Sendra, A., Carrasco Muñoz, A., Martín Gómez, A.M. y Lama-Ruiz, J.R. (2019). Exploring Symmetry of Binary Classification Performance Metrics. Symmetry, 11 (1), 47-.
Size: 2.830Mb
Format: PDF

URI: https://hdl.handle.net/11441/82577

DOI: 10.3390/sym11010047

This work is under a Creative Commons License: 
Attribution-NonCommercial-NoDerivatives 4.0 Internacional

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