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IJSDR
INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15

Issue: March 2024

Volume 9 | Issue 3

Impact factor: 8.15

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Paper Title: Comparative Analysis Of Customer Churn Prediction
Authors Name: B.S L V N Rama Narayana , B.Sasidhar Reddy , R.Raju , A.Jaya krishna , Mrs.K.Anithaa Kingsly
Unique Id: IJSDR2304233
Published In: Volume 8 Issue 4, April-2023
Abstract: The wide variety of service providers are being elevated very swiftly in each business enterprise. For service providers, a rapidly expanding market in each location is leading to a larger subscriber base. Customer acquisition costs are rising as a result of increased competition, new and innovative business models, and better-suited goods. Service providers have learned the value of keeping existing clients happy in such a short period of time. Because of this, it is critical that service providers reduce churn, the occurrence when consumers of a business stop buying from or engaging with the business. Not just in banking and telecommunications, but also in other industries that are heavily reliant on customer engagement, this study examines the most well-known machine learning methods for churn prediction.
Keywords: Customer churn, Logistic Regression, Xgboost Classifier, K-Nearest Neighbour, Decision Tree Classifier, Random Forest Classifier, Gradient Boost Classifier, Ridge Classifier, BaggingRidge Classifier, Extra Tree Classifier
Cite Article: "Comparative Analysis Of Customer Churn Prediction", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 4, page no.1448 - 1457, April-2023, Available :http://www.ijsdr.org/papers/IJSDR2304233.pdf
Downloads: 000336256
Publication Details: Published Paper ID: IJSDR2304233
Registration ID:205461
Published In: Volume 8 Issue 4, April-2023
DOI (Digital Object Identifier):
Page No: 1448 - 1457
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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