Ripple Down Rule learner ( RIDOR ) Classifier for IRIS Dataset

Abstract In this paper compares the rule classifiers based on the evaluation metrics. The classification is a step by step procedure for designating a given piece of input data into any one of the given categories. Analyzing the performance of 3 Rules classifiers algorithms namely JRIP, RIDOR, Decision Table. The Iris datasets are used for calculating the performance by using the cross validation parameter. And finally find out the comparative analysis based on the performance factors such as the classification accuracy and execution time is performed on all the algorithms. The goal of this paper is to specify the best technique from the rules classification technique under the Iris datasets and also provide a comparison result which can be used for further analysis.