PERFORMANCE COMPARISON OF RULE BASED CLASSIFIER: JRIP AND DECISIONTABLE USING WEKA DATA MINING TOOL ON CAR REVIEWS

Abstract

Today Huge amount of data generated over the internet. The WEKA is data processing tool contain organized collection of state of art machine learning algorithm. However, convenient interactive graphical user interfaces are provided for data exploration, for setting up large-scale experiments on distributed computing platforms, and for designing configurations for streamed data processing. This paper has been carried out to make a performance evaluation of JRip and DecisionTable Rule based classification algorithm. The paper sets out to make comparative evaluation of two Rule based classifiers from WEKA, JRip and DecisionTable in the context of dataset of car reviews to maximize true positive rate and minimize false positive rate. The WEKA tool used for result
processing. The results in the paper on dataset of car reviews also show that the efficiency and accuracy of JRip is excellent than DecisionTable for Test mode Training Set.