Using Machine Learning to Predict Cost Overruns in Construction Projects
Theingi Aung,
Sui Reng Liana,
Arkar Htet
et al.
Abstract:Addressing the persistent issue of cost overruns in construction projects, our study explores the potential of machine learning algorithms for accurately predicting these overruns, utilizing an expansive set of project parameters. We draw a comparison between these innovative techniques and traditional cost estimation methods, unveiling the superior predictive accuracy of machine learning approaches. This research contributes to existing literature by presenting a data-driven, reliable strategy for anticipatin… Show more
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