UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
Call for Paper
Volume 11 | Issue 10 | October 2024

JETIREXPLORE- Search Thousands of research papers



WhatsApp Contact
Click Here

Published in:

Volume 10 Issue 11
November-2023
eISSN: 2349-5162

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

7.95 impact factor calculated by Google scholar

Unique Identifier

Published Paper ID:
JETIR2311350


Registration ID:
528296

Page Number

d376-d383

Share This Article


Jetir RMS

Title

Customer Churn Prediction Using Ensemble Techniques on Telco Dataset

Abstract

Fast-paced tech has had a big impact on how companies operate. With so many options to choose from, churning has become a major issue for businesses. Customer churn is a major challenge for businesses of all sizes. When a customer churns, they stop using the company's products or services. This can lead to lost revenue and profits. It is therefore important for businesses to develop strategies to reduce customer churn.One way to reduce customer churn is to use machine learning models to predict which customers are likely to churn. This information can then be used to target these customers with interventions to prevent them from churning.Ensemble techniques are a powerful way to improve the performance of machine learning models. Ensemble techniques combine the predictions of multiple base learners to produce a more accurate prediction.

Key Words

Ensemble Techniques, Telco Dataset, Cat Boost, LightGBM, Logistic regression

Cite This Article

"Customer Churn Prediction Using Ensemble Techniques on Telco Dataset", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 11, page no.d376-d383, November-2023, Available :http://www.jetir.org/papers/JETIR2311350.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

"Customer Churn Prediction Using Ensemble Techniques on Telco Dataset", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 11, page no. ppd376-d383, November-2023, Available at : http://www.jetir.org/papers/JETIR2311350.pdf

Publication Details

Published Paper ID: JETIR2311350
Registration ID: 528296
Published In: Volume 10 | Issue 11 | Year November-2023
DOI (Digital Object Identifier):
Page No: d376-d383
Country: Mysore, KARNATAKA, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


Preview This Article


Downlaod

Click here for Article Preview

Download PDF

Downloads

000110

Print This Page

Current Call For Paper

Jetir RMS