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Explaining and predicting employees’ attrition: a machine learning approach

机译:解释和预测员工流失:一种机器学习方法

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摘要

The attrition of employees is the problem faced by many organizations, where valuable and experienced employeesleave the organization on a daily basis. Many businesses around the globe are looking to get rid of this serious issue. Themain objective of this research work is to develop a model that can help to predict whether an employee will leave thecompany or not. The essential idea is to measure the effectiveness of employee appraisal and satisfaction rates within thecompany, which can help to reduce the attrition rate of employees. In this paper, a new approach focused on machinelearning was used to enhance different retention approaches for targeted employees. There is also an effort in this paperto shed some light on different factors influencing the attrition rate of workers and their possible solutions. Implementingthis principle will help management in employee appraisal and in the decision-making process to recognize valuableemployees who will leave the company. Using this application, hidden reasons for employees’ attrition can be identified,and management can take preventive actions regarding attrition of each employee individually.
机译:员工的流失是许多组织所面临的问题,在这些组织中,有价值且经验丰富的员工每天离开组织。全球许多企业都希望摆脱这一严重问题。的这项研究工作的主要目的是开发一个模型,该模型可以帮助预测员工是否会离开公司。公司与否。基本思想是衡量员工评估和员工满意度的有效性。公司,这有助于降低员工流失率。在本文中,一种针对机器的新方法学习被用来增强针对目标员工的不同保留方法。本文也有努力揭示影响工人流失率的不同因素及其可能的解决方案。实施中这一原则将有助于管理层在员工评估和决策过程中认识到有价值的东西。将离开公司的员工。使用此应用程序,可以确定员工流失的隐患,并且管理层可以针对每个员工的减员采取预防措施。

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