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Application Research of Confidence Machine Based on the Biological Data

Fangchun Jiang
ShenZhen Institute of Information Technology, ShenZhen, China

Abstract—Especially in medical diagnostic applications, the confidence of the machine learning has been an integral part of the target of the research in the field of machine learning. 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 Biological Data experimental data sets of cardiopathy and diabetes, achieved preferable research result. Finally, the problems of current research are discussed, and the research direction is pointed out.

Index Terms—confidence machine, biological data, confidence mechanism, machine learning

Cite: Fangchun Jiang, "Application Research of Confidence Machine Based on the Biological Data," Journal of Life Sciences and Technologies, vol. 3, no. 2, pp. 48-52, December 2015. doi: 10.18178/jolst.3.2.48-52

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