Predicting construction project compliance with machine learning model: case study using Portuguese procurement data
Luís Jacques de Sousa,
João Poças Martins,
Luís Sanhudo
Abstract:PurposeFactors like bid price, submission time, and number of bidders influence the procurement process in public projects. These factors and the award criteria may impact the project’s financial compliance. Predicting budget compliance in construction projects has been traditionally challenging, but Machine Learning (ML) techniques have revolutionised estimations.Design/methodology/approachIn this study, Portuguese Public Procurement Data (PPPData) was utilised as the model’s input. Notably, this dataset exhi… Show more
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.