A Novel Performance Measure for Machine Learning Classification

    International Journal of Managing Information Technology (IJMIT)

ISSN: 0975-5586 (Online); 0975-5926 (Print)

http://airccse.org/journal/ijmit/ijmit.html

Article:

A Novel Performance Measure for Machine Learning Classification

Authors

Mingxing Gong, University of Delaware Newark, USA

Abstract

Machine learning models have been widely used in numerous classification problems and performance measures play a critical role in machine learning model development, selection, and evaluation. This paper covers a comprehensive overview of performance measures in machine learning classification. Besides, we proposed a framework to construct a novel evaluation metric that is based on the voting results of three performance measures, each of which has strengths and limitations. The new metric can be proved better than accuracy in terms of consistency and discriminancy.

Paper URL

https://aircconline.com/ijmit/V13N1/13121ijmit01.pdf

Abstract URL

https://aircconline.com/abstract/ijmit/v13n1/13121ijmit01.html

Volume URL

http://airccse.org/journal/ijmit/vol13.html










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