Research Article

Developing an Integrative Data Intelligence Model for Construction Cost Estimation

Table 4

Performance measures of AI models for testing data.

ā€‰R2RMSEMAEMAPENashWI

XGBoost-RF model
Model I0.621541227246.543874941.67450.552140.584480.88937
Model II0.66971831959.7023619292.16890.351910.809040.94221
Model III0.87382804900.462582701.99770.308250.821260.9404
Model IV0.8553859581.3363591577.19350.28040.796150.92993
Model V0.85961823500.3632554104.63370.253990.812910.93815
Model VI0.87211693311.4488424619.65050.255390.867390.962557
Model VII0.86511706201.1783461238.68760.262790.862410.961966

XGBoost-ANN model
Model I0.594861297368.569919557.16170.569050.535640.88069
Model II0.755371150901.062763471.35370.331410.634580.9049
Model III0.734281004876.227578230.67130.282530.721420.9241
Model IV0.7481979906.0497523097.57980.287780.73510.92872
Model V0.85042750698.034459356.09090.265790.844530.95641
Model VI0.84828864172.2326570128.75140.235890.793980.93062
Model VII0.83202836314.9646545942.93880.230040.807040.93977

XGBoost-SVM model
Model I0.641821158278.86803076.35230.800440.629870.89511
Model II0.77873946666.831713338.14170.387310.752760.92379
Model III0.81801879551.0025631843.25880.336590.786580.93023
Model IV0.8256856049.4301586251.88110.260470.797830.93494
Model V0.83321826462.8309542359.39880.236510.811560.94219
Model VI0.78213907434.4113623458.30530.240910.772830.93306
Model VII0.75791958666.6949633398.39410.243390.746460.92462