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Handling classification errors by learning to reject classifications

This work investigates how to improve classification metrics by learning when a classifier has higher chances of misclassification. The rejection technique increases the classification reliability and reduces the costs associated with misclassifications on cost-sensitive scenarios. A scenario of bug...

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Bibliographic Details
Main Authors:	Junior, Edson Duarte da Silva, Wainer, Jacques, Ferreira, Alexandre
Format:	Online
Language:	English
Published:	Universidade Estadual de Campinas 2018
Subjects:	Machine learning Classification rejection Bug triaging.
Online Access:	https://econtents.sbu.unicamp.br/eventos/index.php/pibic/article/view/369
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