Modelling labour productivity using SVM and RF: a comparative study on classifiers performance
The purpose of this paper is to propose a data-driven approach for preparation of Construction Labour Productivity (CLP) models from influencing labour factors. Two state-of-art machine learning-based classifiers, Support Vector Machine (SVM) and Random Forest (RF) were used for modelling CLP. First...
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| Format: | Article |
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Taylor and Francis Ltd.
2020
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