Enhancing Classification Accuracy with the Help of Feature Maximization Metric

Abstract

This paper deals with a new feature selection and feature contrasting approach for enhancing classification of both numerical and textual data. The method is experienced on different types of reference datasets. The paper illustrates that the proposed approach provides a very significant performance increase in all the studied cases clearly figuring out its generic character.