Predicting customer churn in telecommunication service provider industry using Random Forest / Wan Muhammad Naqib Zafran Wan Roslan

This project addresses the challenge of customer churn in the Telecommunications Service Provider (TSP) industry by focusing on the Random Forest algorithm for predictive modeling. This study aims to throughly explore the Random Forest algorithm, develop a robust Random Forest customer churn predict...

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Main Author:	Wan Roslan, Wan Muhammad Naqib Zafran
Format:	Thesis
Language:	English
Published:	2023
Subjects:	Algorithms
Online Access:	https://ir.uitm.edu.my/id/eprint/96476/1/96476.pdf
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id	my-uitm-ir.96476
record_format	uketd_dc
spelling	my-uitm-ir.964762024-06-06T03:34:36Z Predicting customer churn in telecommunication service provider industry using Random Forest / Wan Muhammad Naqib Zafran Wan Roslan 2023 Wan Roslan, Wan Muhammad Naqib Zafran Algorithms This project addresses the challenge of customer churn in the Telecommunications Service Provider (TSP) industry by focusing on the Random Forest algorithm for predictive modeling. This study aims to throughly explore the Random Forest algorithm, develop a robust Random Forest customer churn predictive model, and evaluate its performance in predicting customer churn within the internet service provider sector. The specific objectives include studying the complexity of the Random Forest algorithm, constructing a model adjusted to accurately predict customer churn, and conducting thorough testing and evaluation of the model's accuracy. Through many experimentation, it was found that a model with 20 trees, a maximum depth of 5, and a maximum of 8 features yielded the highest accuracy at 79%, with an area under the curve of 0.79 for the Receiver Operating Characteristics. The outcomes of this research are poised to contribute significantly to the improvement of revenue, customer satisfaction, and provide valuable insights for data scientists and analysts engaged in similar predictive modeling endeavors within the TSP industry. 2023 Thesis https://ir.uitm.edu.my/id/eprint/96476/ https://ir.uitm.edu.my/id/eprint/96476/1/96476.pdf text en public degree Universiti Teknologi MARA, Terengganu College of Computing, Informatics and Mathematics Fadzal, Ahmad Nazmi
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Fadzal, Ahmad Nazmi
topic	Algorithms
spellingShingle	Algorithms Wan Roslan, Wan Muhammad Naqib Zafran Predicting customer churn in telecommunication service provider industry using Random Forest / Wan Muhammad Naqib Zafran Wan Roslan
description	This project addresses the challenge of customer churn in the Telecommunications Service Provider (TSP) industry by focusing on the Random Forest algorithm for predictive modeling. This study aims to throughly explore the Random Forest algorithm, develop a robust Random Forest customer churn predictive model, and evaluate its performance in predicting customer churn within the internet service provider sector. The specific objectives include studying the complexity of the Random Forest algorithm, constructing a model adjusted to accurately predict customer churn, and conducting thorough testing and evaluation of the model's accuracy. Through many experimentation, it was found that a model with 20 trees, a maximum depth of 5, and a maximum of 8 features yielded the highest accuracy at 79%, with an area under the curve of 0.79 for the Receiver Operating Characteristics. The outcomes of this research are poised to contribute significantly to the improvement of revenue, customer satisfaction, and provide valuable insights for data scientists and analysts engaged in similar predictive modeling endeavors within the TSP industry.
format	Thesis
qualification_level	Bachelor degree
author	Wan Roslan, Wan Muhammad Naqib Zafran
author_facet	Wan Roslan, Wan Muhammad Naqib Zafran
author_sort	Wan Roslan, Wan Muhammad Naqib Zafran
title	Predicting customer churn in telecommunication service provider industry using Random Forest / Wan Muhammad Naqib Zafran Wan Roslan
title_short	Predicting customer churn in telecommunication service provider industry using Random Forest / Wan Muhammad Naqib Zafran Wan Roslan
title_full	Predicting customer churn in telecommunication service provider industry using Random Forest / Wan Muhammad Naqib Zafran Wan Roslan
title_fullStr	Predicting customer churn in telecommunication service provider industry using Random Forest / Wan Muhammad Naqib Zafran Wan Roslan
title_full_unstemmed	Predicting customer churn in telecommunication service provider industry using Random Forest / Wan Muhammad Naqib Zafran Wan Roslan
title_sort	predicting customer churn in telecommunication service provider industry using random forest / wan muhammad naqib zafran wan roslan
granting_institution	Universiti Teknologi MARA, Terengganu
granting_department	College of Computing, Informatics and Mathematics
publishDate	2023
url	https://ir.uitm.edu.my/id/eprint/96476/1/96476.pdf
_version_	1804889990788808704

Predicting customer churn in telecommunication service provider industry using Random Forest / Wan Muhammad Naqib Zafran Wan Roslan

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