Examination of Supervised Machine Learning Algorithms in Employee Turnover Prediction
Chapter from the book:
Tahtalı,
Y.
&
Demir,
İ.
&
Bayyurt,
L.
&
Abacı,
S.
H.
(eds.)
2025.
Current Approaches in Applied Statistics II.
Synopsis
This study classifies employee layoffs into two types: voluntary and involuntary. The financial effects of voluntary turnover are highlighted in organizations. The ability to predict redundancies is a very important aspect of employee retention strategies for any organization. Supervised machine learning algorithms, which are more accurate, were analyzed in the context of employee turnover prediction. The literature review identified some of the key parameters that influence turnover, which include working conditions, job satisfaction, management support, pay fairness, and career opportunities. The algorithms to be studied will include Logistic Regression, Decision Trees, Random Forests, Support Vector Machines (SVM), K-Nearest Neighbors (KNN), and Naive Bayes. Random Forest showed the best accuracy; hence, it is recommended for complicated datasets. Logistic Regression, though less accurate, is simple and interpretable, hence useful for strategic decision-making. This study henceforth highlights that the choice of algorithms should be fully aligned with data structure and organizational priorities for better human resource management and reduction in turnover ratio.
How to cite this book
License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Published
DOI
Categories
Copyright (c) 2025 Yalçın Tahtalı- İbrahim Demir- Lütfi Bayyurt- Samet Hasan Abacı; Berna Özbaşaran- Gözde Ulutagay- Bilal Saraç- Çağlar Karamaşa- Çağdaş Yıldız- Adem Tüzemen- Diana Bratić- Eyüp Sayin- Murat Topuz- Muhammet Fatih Aslan- Akif Durdu- Gizem Şara Onay- Mehmet Çakmakçı- Hasan Arda Solak- Şeyma Koltuklu- Sueda Turgut- Mahmut Bağcı- Melisa Dikici- Gökçe Sabriye Hörük- Deniz Efendioğlu- Mervenur Ünver- Şahika Gökmen- Murat Yildirim- Ziya Çakır- Cafer Yildirim- Özlem Türkşen- Necdet Ünüvar- İlker Astarcı- Murat Açıkgöz- Defne Akay- Özlem Türkşen