... and decision tree regressor, to find an accurate model for the equipment resale price. The three algorithms were verified and tested with data of 340 pieces of equipment. Findings Using a large number of data to train the ML model resulted in a high-accuracy predicting model. The accuracy of the extra...

... that C4.5 decision tree (DT) is adopted to obtain valuable knowledge from these schemes for further predicting and solving new scheduling problems. Findings In this study, the authors use GA and DM technology to analyze and extract knowledge from a large number of scheduling schemes, and determine...

... Detector (CHAID) and Classification and Regression (CRT) decision tree algorithms, this paper aims to develop bid/no-bid models for design-bid-build projects for contractors. Design/methodology/approach The models in this study have been developed using CHAID and CRT algorithms. Thirty-four bid/no-bid...