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Automated Prediction of Employee Attrition Using Ensemble Model Based on Machine Learning Algorithms

Competent employees are a rare commodity for great companies. The problem of maintaining good employees with experience threatens the owners of companies. The issue of employee attrition can cost employers a lot as it takes a lot to compensate for their expertise and efficiency. For this reason, in...

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Detalles Bibliográficos
Autores principales: Alsheref, Fahad Kamal, Fattoh, Ibrahim Eldesouky, M.Ead, Waleed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9251085/
https://www.ncbi.nlm.nih.gov/pubmed/35795740
http://dx.doi.org/10.1155/2022/7728668
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author Alsheref, Fahad Kamal
Fattoh, Ibrahim Eldesouky
M.Ead, Waleed
author_facet Alsheref, Fahad Kamal
Fattoh, Ibrahim Eldesouky
M.Ead, Waleed
author_sort Alsheref, Fahad Kamal
collection PubMed
description Competent employees are a rare commodity for great companies. The problem of maintaining good employees with experience threatens the owners of companies. The issue of employee attrition can cost employers a lot as it takes a lot to compensate for their expertise and efficiency. For this reason, in this research, we present an automated model that can predict employee attrition based on different predictive analytical techniques. These techniques have been applied with different pipeline architectures to select the best champion model. Also, an autotuning approach has been implemented to calculate the best combination of hyper parameters to build the champion model. Finally, we propose an ensemble model for selecting the most efficient model subject to different assessments measures. The results of the proposed model show that no model up until now could be considered ideal and perfect for each case of business context. Yet, our chosen model was pretty much optimal as per our requirements and adequately satisfied the intended goal.
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spelling pubmed-92510852022-07-05 Automated Prediction of Employee Attrition Using Ensemble Model Based on Machine Learning Algorithms Alsheref, Fahad Kamal Fattoh, Ibrahim Eldesouky M.Ead, Waleed Comput Intell Neurosci Research Article Competent employees are a rare commodity for great companies. The problem of maintaining good employees with experience threatens the owners of companies. The issue of employee attrition can cost employers a lot as it takes a lot to compensate for their expertise and efficiency. For this reason, in this research, we present an automated model that can predict employee attrition based on different predictive analytical techniques. These techniques have been applied with different pipeline architectures to select the best champion model. Also, an autotuning approach has been implemented to calculate the best combination of hyper parameters to build the champion model. Finally, we propose an ensemble model for selecting the most efficient model subject to different assessments measures. The results of the proposed model show that no model up until now could be considered ideal and perfect for each case of business context. Yet, our chosen model was pretty much optimal as per our requirements and adequately satisfied the intended goal. Hindawi 2022-06-26 /pmc/articles/PMC9251085/ /pubmed/35795740 http://dx.doi.org/10.1155/2022/7728668 Text en Copyright © 2022 Fahad Kamal Alsheref et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Alsheref, Fahad Kamal
Fattoh, Ibrahim Eldesouky
M.Ead, Waleed
Automated Prediction of Employee Attrition Using Ensemble Model Based on Machine Learning Algorithms
title Automated Prediction of Employee Attrition Using Ensemble Model Based on Machine Learning Algorithms
title_full Automated Prediction of Employee Attrition Using Ensemble Model Based on Machine Learning Algorithms
title_fullStr Automated Prediction of Employee Attrition Using Ensemble Model Based on Machine Learning Algorithms
title_full_unstemmed Automated Prediction of Employee Attrition Using Ensemble Model Based on Machine Learning Algorithms
title_short Automated Prediction of Employee Attrition Using Ensemble Model Based on Machine Learning Algorithms
title_sort automated prediction of employee attrition using ensemble model based on machine learning algorithms
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9251085/
https://www.ncbi.nlm.nih.gov/pubmed/35795740
http://dx.doi.org/10.1155/2022/7728668
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