Research on the Confidence Regression Based on KNN Algorithm

Fang Chun Jiang; Sheng Feng Tian

doi:10.4028/www.scientific.net/AMM.713-715.1877

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 713-715Research on the Confidence Regression Based on KNN...

Research on the Confidence Regression Based on KNN Algorithm

Abstract:

Confidence regression is a significant research field of confidence machine learning. This paper adopts KNN algorithm as a tool, and performs error evaluation on results of regressive learning to classify the accept field and the refuse field so as to achieve the confidence regression. By setting specific error value, this approach achieves controllable confidence regression, which has been tested on experimental data of bodyfat and other data sets. The experimental results presented show the feasibility of our approach.

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Periodical:

Applied Mechanics and Materials (Volumes 713-715)

Pages:

1877-1881

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.713-715.1877

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Online since:

January 2015

Authors:

Fang Chun Jiang*, Sheng Feng Tian

Keywords:

Confidence Machine, Confidence Regression, KNN Algorithm, Machine Learning, Reject Option

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* - Corresponding Author

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