Comparing data mining methods for predicting cost construction projects: A case study of cost management datasets from Thailand
Tanayut Chaitongrat,
Kridtsada Janthachai,
Wuttipong Kusonkhum
et al.
Abstract:This research examines three data mining approaches employing cost management datasets from 391 Thai contractor companies to investigate the predictive modeling of construction project failure with nine parameters. Artificial neural networks, naive bayes, and decision trees with attribute selection are some of the algorithms that were explored. In comparison to artificial neural network’s (91.33%) and naive bays’ (70.01%) accuracy rates, the decision trees with attribute selection demonstrated greater classifi… Show more
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