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...

Full description

Saved in:
Bibliographic Details
Main Authors: Oliveira, João Pedro Pazinato Cruz de, Duarte, Leonardo Tomazeli
Format: Online
Language:English
Published: Universidade Estadual de Campinas 2019
Subjects:
Online Access:https://econtents.sbu.unicamp.br/eventos/index.php/pibic/article/view/679
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1864358480184344576
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
work_keys_str_mv AT oliveirajoaopedropazinatocruzde anintroductorystudytomachinelearninganditsapplicationtoemployeeturnoverprediction
AT duarteleonardotomazeli anintroductorystudytomachinelearninganditsapplicationtoemployeeturnoverprediction
AT oliveirajoaopedropazinatocruzde introductorystudytomachinelearninganditsapplicationtoemployeeturnoverprediction
AT duarteleonardotomazeli introductorystudytomachinelearninganditsapplicationtoemployeeturnoverprediction