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November-2024
eISSN: 2349-5162
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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)
New UGC Peer-Reviewed Rules
ISSN: 2349-5162 | ESTD Year : 2014 Volume 13 | Issue 3 | March 2026
New UGC Peer-Reviewed Rules
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:
JETIRGO06051
Registration ID:
550395
Page Number
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Title
CUSTOMERCHURNPREDICTION USING RANDOMFOREST
Abstract
The Telecommunication Industry is focusing on customer churn detection to retain customers and reduce churn rates. Churn is caused by competitors' exiting offers or network issues, impacting future revenue and service length. A machine learning model, using Random Forest, can predict customers likely to cancel subscriptions, offering better services and reducing churn rates, ultimately boosting profitability in the industry.
Key Words
Telecom churn, Random Forest.
Cite This Article
"CUSTOMERCHURNPREDICTION USING RANDOMFOREST", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 11, page no.481-488, November-2024, Available :http://www.jetir.org/papers/JETIRGO06051.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
"CUSTOMERCHURNPREDICTION USING RANDOMFOREST", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 11, page no. pp481-488, November-2024, Available at : http://www.jetir.org/papers/JETIRGO06051.pdf
Publication Details
Published Paper ID: JETIRGO06051
Registration ID: 550395
Published In: Volume 11 | Issue 11 | Year November-2024
Page No: 481-488
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication
Published Paper URL :: https://www.jetir.org/view?paper=JETIRGO06051
Published Paper PDF: https://www.jetir.org/papers/JETIRGO06051
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