Twin SVM with a reject option through ROC curve

Twin SVM with a reject option through ROC curve

This paper proposes a new method which embeds a reject option in twin support vector machine (RO-TWSVM) through the Receiver Operating Characteristic (ROC) curve for binary classification. The proposed RO-TWSVM enhances the classification robustness through inclusion of an effective rejection rule f...

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Bibliographic Details
Main Authors: Lin, Dongyun, Sun, Lei, Toh, Kar-Ann, Zhang, Jing Bo, Lin, Zhiping
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2018
Subjects:
ROC Curves
Twin SVM
Online Access:https://hdl.handle.net/10356/86871
http://hdl.handle.net/10220/44245
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Institution: Nanyang Technological University
Language: English
Description
Summary:This paper proposes a new method which embeds a reject option in twin support vector machine (RO-TWSVM) through the Receiver Operating Characteristic (ROC) curve for binary classification. The proposed RO-TWSVM enhances the classification robustness through inclusion of an effective rejection rule for potentially misclassified samples. The method is formulated based on a cost-sensitive framework which follows the principle of minimization of the expected cost of classification. Extensive experiments are conducted on synthetic and real-world data sets to compare the proposed RO-TWSVM with the original TWSVM without a reject option (TWSVM-without-RO) and the existing SVM with a reject option (RO-SVM). The experimental results demonstrate that our RO-TWSVM significantly outperforms TWSVM-without-RO, and in general, performs better than RO-SVM.

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