UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 8 Issue 10
October-2021
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

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Published Paper ID:
JETIR2110114


Registration ID:
315774

Page Number

b123-b132

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Title

PERFORMANCE EVALUATION OF ENSEMBLE LEARNING ALGORITHMS FOR VARIOUS CLASSIFIERS

Abstract

: In the present scenario with the advancement of digital technology extensive amount of data and information are generated. With such extensive amount of data, powerful approaches are required for data interpretation that help the human being for decision making process. Handling, analyzing, processing and finding relevant information from this extensive amount of data is very interesting and fast growing research area. Data mining is the process of extracting or discovering useful information from the large amount of data and then transforms them in to an understandable form for future use. Data mining offers various methods or techniques that are used to predict the accuracy of various classes of object. This research focus on various ensemble learningh techniques like bagging and boosting also enhance the accuracy of various base classifiers like NaiveBayes, DecisionStump, DecisionTable and J48. All the techniques are compared on the basis of four evaluation parameters like accuracy, precision, recall and root mean squared error. The finding are also supported with justification by conducting an experimental survey at the end of research. RapidMiner tool will be used to perform the simulation using 10 fold cross validation

Key Words

Data Mining, Ensemble Learning Techniques, Bagging, Boosting, Weka Tool, Rapid Miner Tool

Cite This Article

"PERFORMANCE EVALUATION OF ENSEMBLE LEARNING ALGORITHMS FOR VARIOUS CLASSIFIERS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 10, page no.b123-b132, October-2021, Available :http://www.jetir.org/papers/JETIR2110114.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"PERFORMANCE EVALUATION OF ENSEMBLE LEARNING ALGORITHMS FOR VARIOUS CLASSIFIERS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 10, page no. ppb123-b132, October-2021, Available at : http://www.jetir.org/papers/JETIR2110114.pdf

Publication Details

Published Paper ID: JETIR2110114
Registration ID: 315774
Published In: Volume 8 | Issue 10 | Year October-2021
DOI (Digital Object Identifier):
Page No: b123-b132
Country: mandi, himachal pradesh, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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