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March-2019
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Journal of Emerging Technologies and Innovative Research ( An International Scholarly Open Access Journal, Peer-reviewed, Refereed, Crossref DOI Journal )
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UGC Approved Journal no 63975(19)
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ISSN: 2349-5162 | ESTD Year : 2014 Volume 13 | Issue 3 | March 2026
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ISSN: 2349-5162 | ESTD Year : 2014 Volume 13 | Issue 3 | March 2026
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UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975
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Published Paper ID:
JETIR1903956
Registration ID:
200888
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Title
Performance evaluation of logistic regression model for credit fraud detection
Authors
Abstract
The purpose of this Paper presents the exclusive study of logic Regression, and how to apply logical regression to analyze data . in this paper implemented the detailed analysis of logical repression using R to find fraud detection. The logistic regression model is evaluated using German credit data. This paper explains the performance evaluation of logistic regression using the metrics. The aim of predictive modeling is to select the proper model for the dataset.
Key Words
Key words: binary data analysis, targetl variables, , modelfit, logistic regression, ROC
Cite This Article
"Performance evaluation of logistic regression model for credit fraud detection ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 3, page no.396-402, March-2019, Available :http://www.jetir.org/papers/JETIR1903956.pdf
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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 logistic regression model for credit fraud detection ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 3, page no. pp396-402, March-2019, Available at : http://www.jetir.org/papers/JETIR1903956.pdf
Publication Details
Published Paper ID: JETIR1903956
Registration ID: 200888
Published In: Volume 6 | Issue 3 | Year March-2019
Page No: 396-402
Country: BANGALORE, Karnataka, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication
Published Paper URL :: https://www.jetir.org/view?paper=JETIR1903956
Published Paper PDF: https://www.jetir.org/papers/JETIR1903956
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