Evolution and Comparison of Machine learning Classifiers with impact Result
Author & Affiliation:
Anil Rajput
Department of Mathematics and Computer Application Sadhu Vaswani College, Bhopal (INDIA)
Ramesh Prasad Aharwal
Department of Mathematics, Govt. P.G. College Bareli Distt. Raisen (INDIA)
Amit Dutta
UTD., Department of Computer Science, Barkatullah University, Bhopal (INDIA)
Keyword:
Classification, Data Mining, WEKA, J48, Nau00efve Bays
Issue Date:
December 2008
Abstract:
Machine learning classifiers are mostly used for prediction of system behavior ,Evolution and comparison of different machine learning classifiers used in Data Mining practical in health datasets, how to select the most suited data mining algorithm for a medical application. In this paper we used three medical datasets for our experiment. Experiment performed on WEKA 3.5.7 software which is a newest version of WEKA software.
Pages:
789-794
ISSN:
2319-8044 (Online) - 2231-346X (Print)
Source:
PDF:
DOI:
jusps-A
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A. Rajput; R. P. Aharwal; A. Dutta, "Evolution and Comparison of Machine learning Classifiers with impact Result ", Journal of Ultra Scientist of Physical Sciences, Volume 20, Issue 3, Page Number 789-794, 2018Copy the following to cite this URL:
A. Rajput; R. P. Aharwal; A. Dutta, "Evolution and Comparison of Machine learning Classifiers with impact Result ", Journal of Ultra Scientist of Physical Sciences, Volume 20, Issue 3, Page Number 789-794, 2018Available from: https://www.ultrascientist.org/paper/1445/
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