Enhancing Employee Turnover Prediction: An Advanced Feature Engineering Analysis with CatBoost

Employee turnover presents considerable challenges for organizations, leading to increased recruitment costs and disruptions in ongoing operations. High voluntary attrition rates can result in substantial financial losses, ma... | Find, read and cite all the research you need on Tech Science Press

Publication Details

Journal
Computer Systems Science and Engineering
Published
2025-01-01
DOI
https://doi.org/10.32604/csse.2025.069213
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
0.00

Funders

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article

Enhancing Employee Turnover Prediction: An Advanced Feature Engineering Analysis with CatBoost

Computer Systems Science and Engineering
Geochemistry and Geologic Mapping
article

Enhancing Employee Turnover Prediction: An Advanced Feature Engineering Analysis with CatBoost

article en

Abstract

Employee turnover presents considerable challenges for organizations, leading to increased recruitment costs and disruptions in ongoing operations. High voluntary attrition rates can result in substantial financial losses, ma... | Find, read and cite all the research you need on Tech Science Press

Computer Systems Science and EngineeringVol. 49(1)
Ministry of Science and ICT, South Korea, Institute for Information and Communications Technology Promotion, Division of Human Resource Development
Decent work and economic growth
Openalex Percentile: Top 69%
Geochemistry and Geologic Mapping
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Enhancing Employee Turnover Prediction: An Advanced Feature Engineering Analysis with CatBoost · Computer Systems Science and Engineering (2025) | TGRS Research Map | TGRS