An introductory study to machine learning and its application to employee turnover prediction
The objective of this paper is to study the problem of employee turnover prediction and to develop a classifier that uses employee's data to identify those who have a greater tendency to leave the company voluntarily. For such purpose, the data of 8724 employees from a real Brazilian beverage c...
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| Format: | Online |
| Language: | English |
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Universidade Estadual de Campinas
2019
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| Online Access: | https://econtents.sbu.unicamp.br/eventos/index.php/pibic/article/view/679 |
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| author | Oliveira, João Pedro Pazinato Cruz de Duarte, Leonardo Tomazeli |
| author_facet | Oliveira, João Pedro Pazinato Cruz de Duarte, Leonardo Tomazeli |
| author_sort | Oliveira, João Pedro Pazinato Cruz de |
| collection | Portal de Eventos Científicos da UNICAMP |
| container_reference | Revista dos Trabalhos de Iniciação Científica da UNICAMP; n. 26 (2018): Congresso de Iniciação Científica Unicamp |
| description | The objective of this paper is to study the problem of employee turnover prediction and to develop a classifier that uses employee's data to identify those who have a greater tendency to leave the company voluntarily. For such purpose, the data of 8724 employees from a real Brazilian beverage company was used to train an Extreme Learning Machine (ELM) classifier, assigning to each sample a weight inversely proportional to the size of the respective class. After the training, the classifier displayed an overall accuracy of 79% of the test data. |
| first_indexed | 2025-10-08T13:51:42Z |
| format | Online |
| id | ojs-article-679 |
| institution | Universidade Estadual de Campinas |
| issn | 2596-1969 |
| language | eng |
| last_indexed | 2025-10-08T13:51:42Z |
| publishDate | 2019 |
| publisher | Universidade Estadual de Campinas |
| record_format | ojs |
| spelling | ojs-article-6792025-09-26T14:32:30Z An introductory study to machine learning and its application to employee turnover prediction Oliveira, João Pedro Pazinato Cruz de Duarte, Leonardo Tomazeli Machine learning Turnover Extreme learning machines. The objective of this paper is to study the problem of employee turnover prediction and to develop a classifier that uses employee's data to identify those who have a greater tendency to leave the company voluntarily. For such purpose, the data of 8724 employees from a real Brazilian beverage company was used to train an Extreme Learning Machine (ELM) classifier, assigning to each sample a weight inversely proportional to the size of the respective class. After the training, the classifier displayed an overall accuracy of 79% of the test data. Universidade Estadual de Campinas 2019-01-18 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Artigo de convidado application/pdf https://econtents.sbu.unicamp.br/eventos/index.php/pibic/article/view/679 10.20396/revpibic262018679 Revista dos Trabalhos de Iniciação Científica da UNICAMP; n. 26 (2018): Congresso de Iniciação Científica Unicamp 2596-1969 eng https://econtents.sbu.unicamp.br/eventos/index.php/pibic/article/view/679/833 Copyright (c) 2019 João Pedro Pazinato Cruz de Oliveira, Leonardo Tomazeli Duarte http://creativecommons.org/licenses/by/4.0 |
| spellingShingle | Oliveira, João Pedro Pazinato Cruz de Duarte, Leonardo Tomazeli Machine learning Turnover Extreme learning machines. An introductory study to machine learning and its application to employee turnover prediction |
| title | An introductory study to machine learning and its application to employee turnover prediction |
| title_full | An introductory study to machine learning and its application to employee turnover prediction |
| title_fullStr | An introductory study to machine learning and its application to employee turnover prediction |
| title_full_unstemmed | An introductory study to machine learning and its application to employee turnover prediction |
| title_short | An introductory study to machine learning and its application to employee turnover prediction |
| title_sort | introductory study to machine learning and its application to employee turnover prediction |
| topic | Machine learning Turnover Extreme learning machines. |
| url | https://econtents.sbu.unicamp.br/eventos/index.php/pibic/article/view/679 |
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