Journal of Computer & Information Technology

Comparative Study of Rule Mining Classifiers with Hapatitus Datasets

Author & Affiliation:
RAMESH PRASAD AHARWAL (ramesh_ahirwal_neetu@yahoo.com)
Assistant. Professor, Department of Mathematics Govt. P. G. College, Damoh (M.P.) (India)
MANMOHAN SINGH
Associate Professor, Department of Computer Science & Engineering, Dr. A.P.J. Abdul Kalam University, Indore (India)
Keyword:
Classification, WEKA, Data Mining
Issue Date:
August 2018
Abstract:
This paper deals with comparison of the rule classifiers based on the evaluation parameters. The classification is a step by step procedure for designating a given piece of input data into any one of the given categories. We have used five Rule classifiers algorithms, namely Decision Table, JRIP, PART, OneR and ZeroR for experimental setup. The hepatitis datasets are used for calculating the performance by using the split percentage parameter. Finally find out the comparative analysis based on the performance factors such as the classification accuracy, Kappa statistic and execution time is performed on all the algorithms. The goal of this paper is to find out which classier is best to other rule classifier in WEKA under hepatitis data.
Pages:
46-49
ISSN:
2455-9997 (Online) - 2229-3531 (Print)
Source:
DOI:
http://dx.doi.org/10.22147/jucit/090402

Copy the following to cite this article:

R. P. Aharwal; M. Singh, "Comparative Study of Rule Mining Classifiers with Hapatitus Datasets", Journal of Computer & Information Technology, Volume 9, Issue 4, Page Number 46-49, 2018

Copy the following to cite this URL:

R. P. Aharwal; M. Singh, "Comparative Study of Rule Mining Classifiers with Hapatitus Datasets", Journal of Computer & Information Technology, Volume 9, Issue 4, Page Number 46-49, 2018

Available from: http://www.compitjournal.org/paper/358/

Ansari Education And Research Society
Facebook Google Plus Twitter
Website developed by
main-banner