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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 118
Article Submitted : 21528
Article Published : 8515
Total Authors : 22403
Total Reviewer : 805
Total Countries : 159
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Published Paper Details
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| Paper Title: | DETERMENT OF CUSTOMER CHURN IN BANKING USING MACHINE LEARNING TECHNIQUES |
| Authors Name: | Jannu Neeraja , Polasi.Sudhakar |
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| Author Reg. ID: |
IJRTI_184897
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| Published Paper Id: | IJRTI2212057 |
| Published In: | Volume 7 Issue 12, December-2022 |
| DOI: | |
| Abstract: | All over the world, in one-of-a-kind sectors churn prediction performs a very vital position in the increase of the organization. For the company’s income and earnings patron churn is very harmful. The most vital step to keep away from churn is to become aware of churn and its reason, as a consequence provoke the stopping measures. Now a day’s laptop mastering performs a fundamental function to get rid of this problem. The goal of this paper is to predict the churn in banking sectors, with the aid of the use of nicely regarded laptop mastering methods like aid vector laptop (SVM) and Naive-Bayes algorithm. The classification mannequin is constructed via inspecting historic records and then making use of the prediction mannequin primarily based on the analysis. The described mannequin has a prediction fee of 94.63% for an experimental dataset containing purchaser records of an worldwide bank, gathered from Kaggle |
| Keywords: | Naïve-Bayes algorithm, Machine Learning (ML), Support Vector Machine (SVM) |
| Cite Article: | "DETERMENT OF CUSTOMER CHURN IN BANKING USING MACHINE LEARNING TECHNIQUES", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 12, page no.432 - 436, December-2022, Available :http://www.ijrti.org/papers/IJRTI2212057.pdf |
| Downloads: | 000205205 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2212057
Registration ID:184897
Published In: Volume 7 Issue 12, December-2022
DOI (Digital Object Identifier):
Page No: 432 - 436 Country: ELURU, ANDHRA PRADESH, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2212057 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2212057 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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