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Paper Details

Paper Title
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.
KeyWord
IRIS Data Sets, Naïve Bayes, Decision Tree, The RapidMiner tool
Others Details
Paper Id : 45694
Author Name : R.S.SANJUVIGASINI
Co-Author Name(s) : DR.R.SHANMUGAVADIVU
Volume/Issue No : Volume 05 Issue 02
Page No : 87-91
DOI Number : DOI:10.21090/IJAERD.45694
Publication Date : 2018-02-10
License : This work is licensed under a Creative Commons Attribution 4.0 International License.
website : http://www.ijaerd.com/index.php
Impact Factor : 4.72, SJIF-2016
ISSN Details : eISSN: 2348-4470, pISSN:2348-6406