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A Comparative Study of Machine Learning Algorithm for Predicting Project Management Methodology.

Authors :
KRAIEM, Ines BEN
MABROUK, Mouna BEN
JODE, Lucas DE
Source :
Procedia Computer Science; 2023, Vol. 225, p665-675, 11p
Publication Year :
2023

Abstract

Selecting the appropriate project management methodology is one of the challenges faced by project managers. Predicting the adoption of agile or traditional methodology during the early stage of the project could contribute to its success. The purpose of this paper is to predict project management methodology based on machine learning algorithms. Our study aims to help project managers make the right decisions and select the most suitable project management approach. The performance of Machine Learning (ML) models was evaluated using metrics such as accuracy, precision, recall, and F1-score. Gradient Boosting outperformed other ML models, achieving an accuracy of 94%. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
18770509
Volume :
225
Database :
Supplemental Index
Journal :
Procedia Computer Science
Publication Type :
Academic Journal
Accession number :
174059104
Full Text :
https://doi.org/10.1016/j.procs.2023.10.052