Performance Comparison of Tree based classifier using WEKA

Abstract

The WEKA is open source free data processing tool contain organized collection of state of art machine learning algorithm. The research work carried out in this paper to make a performance evaluation of WEKA classifier. The algorithm contain for the research work is RandomForest and Hoeffding Tree. The paper sets out to make comparative evaluation of four WEKA classifiers in the context of dataset of car reviews to maximize true positive rate and minimize false positive rate. Online review provides valuable resources for potential customers, expert and developer to make decision. The WEKA tool used for result processing. The results in the paper on dataset of car reviews also show that the Performance and accuracy of RandomForest is 100 percent.