AN EFFICIENT COMPARISION OF DATA CLASSIFICATION ALGORITHM FOR ANALYSIS OF IRIS DATA SETS

Abstract

Data Mining techniques are helpful in finding out patterns between data attributes and the results in
probalistic prediction of the label attribute.Classification is the major task in data mining. In this paper we discuss about
comparing the Decision Tree and Naïve Bayes classification algorithms. The Example data set used from repository sited
depending upon the number of instance. We allpy it on different data set to analysis of accuracy of the algorithms. This
paper helps to get a clear idea on this algorithm which is based on the evaluation of various methodology driven by
Rapid Miner tool while equating Precision, Recall and Accuracy.