Hybrid Approach for Classification using Support Vector Machine and Decision Tree

Abstract

A hybrid system or hybrid intelligent system uses the approach of integrating different learning or decision-making models. Each learning model works in a different manner and exploits different set of features. Integrating different learning models gives better performance than the individual learning or decision-making models by reducing their individual limitations and exploiting their different mechanisms. In this paper, a hybrid approach of classification is proposed which attempts to utilize the advantages of both decision trees and SVM leading to better classification accuracy.