AN EFFICIENT COMPARISION OF DATA CLASSIFICATION ALGORITHM FOR ANALYSIS OF IRIS DATA SETS
| Author(s) | : | R.S.SANJUVIGASINI, DR.R.SHANMUGAVADIVU |
| Institution | : | Department of Computer Science, PSG College of Arts and Science,Coimbatore,India |
| Published In | : | Vol. 5, Issue 2 — February 2018 |
| Page No. | : | 87-91 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
Data Mining techniques are helpful in finding out patterns between data attributes and the results inprobalistic prediction of the label attribute.Classification is the major task in data mining. In this paper we discuss aboutcomparing the Decision Tree and Naïve Bayes classification algorithms. The Example data set used from repository siteddepending upon the number of instance. We allpy it on different data set to analysis of accuracy of the algorithms. Thispaper helps to get a clear idea on this algorithm which is based on the evaluation of various methodology driven byRapid Miner tool while equating Precision, Recall and Accuracy.
R.S.SANJUVIGASINI, DR.R.SHANMUGAVADIVU, “AN EFFICIENT COMPARISION OF DATA CLASSIFICATION ALGORITHM FOR ANALYSIS OF IRIS DATA SETS”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 5, Issue 2, pp. 87-91, February 2018.
