Feature Selection based Classification using Naive Bayes, J48 and Support Vector Machine
Purpose : Improve the accuracy of a classifier by using minimum number of features. Multiple feature selection techniques are proposed which helping to find out the most important features. In this paper, feature selection methods Co-relation based feature Selection, Wrapper method and Information Gain are used, before applying supervised learning based classification techniques to show … Read more