A New Approach Using Data Envelopment Analysis for Ranking Classification Algorithms
A. Bazleh, P. Gholami and F. Soleymani
DOI : 10.3844/jmssp.2011.282.288
Journal of Mathematics and Statistics
Volume 7, Issue 4
Problem statement: A variety of methods and algorithms for classification problems have been developed recently. But the main question is that how to select an appropriate and effective classification algorithm. This has always been an important and difficult issue. Approach: Since the classification algorithm selection task needs to examine more than one criterion such as accuracy and computational time, it can be modeled and also ranked by Data Envelopment Analysis (DEA) technique. Results: In this study, 44 standard databases were modeled by 7 famous classification algorithms and we have examined them by accreditation method. Conclusion/Recommendation: The results indicate that Data Envelopment Analysis (DEA) is an appropriate tool for evaluating classification algorithms.
© 2011 A. Bazleh, P. Gholami and F. Soleymani. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.