Doubly Optimized Calibrated Support Vector Machine (DOC-SVM): An Algorithm for Joint Optimization of Discrimination and Calibration

Historically, probabilistic models for decision support have focused on discrimination, e.g., minimizing the ranking error of predicted outcomes. Unfortunately, these models ignore another important aspect, calibration, which indicates the magnitude of correctness of model predictions. Using discrim...

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Detalles Bibliográficos
Autores principales: Jiang, Xiaoqian, Menon, Aditya, Wang, Shuang, Kim, Jihoon, Ohno-Machado, Lucila
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3490990/
https://www.ncbi.nlm.nih.gov/pubmed/23139819
http://dx.doi.org/10.1371/journal.pone.0048823

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3490990/
https://www.ncbi.nlm.nih.gov/pubmed/23139819
http://dx.doi.org/10.1371/journal.pone.0048823

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