Hybrid Approach for Classification using Support Vector Machine and Decision Tree

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. Keywords—hybrid, support vector machine, decision tree, ID3, C4.5