Research on the Controllable Confidence Machine

Fang Chun Jiang; Sheng Feng Tian

doi:10.4028/www.scientific.net/AMR.1079-1080.851

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 1079-1080Research on the Controllable Confidence Machine

Research on the Controllable Confidence Machine

Abstract:

Manageable confidence machine learning is one of the important approaches to implement confidence machine application. This paper is based on two class confidence classifier, adopting two class classifier as tool to convert learning results of classifiers and achieve confidence management through setting threshold values. The research accomplished manageable general accuracy of the classification and manageable positive/negative classification accuracy. Such method is tested in 5 experimental data sets of cardiopathy and diabetes, achieved preferable research result.

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Periodical:

Advanced Materials Research (Volumes 1079-1080)

Pages:

851-855

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.1079-1080.851

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Online since:

December 2014

Authors:

Fang Chun Jiang*, Sheng Feng Tian

Keywords:

Confidence Machine, Controlled Confidence, Machine Learning, Reject Option, SVM

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* - Corresponding Author

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