---
title: An Integrated Machine Learning Model for Predicting Customer Churn in a Telecommunications Application
url: https://www.ml-quant.com/papers/ssrn/5234665/
site: ML-Quant (https://www.ml-quant.com)
updated: 2026-09-26
license: Summaries CC BY 4.0; links go to the original sources
index: https://www.ml-quant.com/llms.txt
identifier: SSRN 5234665
source_url: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5234665
featured: 2025-04-30
citations: 0
topic: ML & AI Methods
---


# An Integrated Machine Learning Model for Predicting Customer Churn in a Telecommunications Application

The research introduces a combined machine-learning model to predict customer turnover in the telecom sector, utilizing deep learning, ensemble learning, and feature engineering.

- Source: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5234665
- Identifier: SSRN 5234665
- Released: 2015-03-01
- First featured: Quant Letter No. 95 (2025-04-30): https://www.ml-quant.com/issues/2025-04-30/
- Citations (Semantic Scholar): 0
- Published in: not yet
- Topic: ML & AI Methods

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