Detecting Employee Attrition In An Organization Using Decision Tree, Logistic Regression and Random Forest.

Detecting Employee Attrition In An Organization Using Decision Tree, Logistic Regression and Random Forest.

Registration ID: IJNRD_215430

Published ID: IJNRD2404093

DOI: http://doi.one/10.1729/Journal.38843

N.V. Murali Krishna Raja , L.N.V. Radhika , P. Eswar , G. Mahesh , P. Sandhya

Machine learning, Employee attrition, Random forest, Logistic regression, Decision tree, Feature selection, Feature ranking.

Employees are the backbone of the organization. Organization’s performance is heavily based on the quality of the employees. Challenges that an organization has to face due to employee attrition are Expensive in terms of both money and time to train new employees. Loss of experienced employees impact in productivity, and also impact in profit. Whenever an employee leaves an organization, there is a source of advantages for the business competitor. To be continuously competitive in the business, the organization should minimize the employee attrition. The major aim of the project is to analyze the employee data set of an organization and find the reasons, why the best and most experienced employees leave the company prematurely and also try to predict which valuable employees are probable to leave the organization subsequently.

Published Paper   E-Certificate

"Detecting Employee Attrition In An Organization Using Decision Tree, Logistic Regression and Random Forest.", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 4, page no.a777-a780, April-2024, Available :https://ijnrd.org/papers/IJNRD2404093.pdf

Volume 9 Issue 4, April-2024

Pages : a777-a780

Paper Reg. ID: IJNRD_215430

Published Paper Id: IJNRD2404093

Downloads: 000121134

Research Area: Computer Engineering 

Country: Tadepalligudem/west godavari, Andhra Pradesh, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2404093.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2404093

DOI: http://doi.one/10.1729/Journal.38843

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

Call For Paper - Volume 10 | Issue 8 | August 2025

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