Research Article

Developing an Integrative Data Intelligence Model for Construction Cost Estimation

Table 3

Performance measures of AI models for training data.

ā€‰R2RMSEMAEMAPENashWI

XGBoost-RF model
Model I0.76081788890.3191604981.67150.991020.759940.93074
Model II0.70272879643.0411589663.43860.638450.701540.90834
Model III0.91381472714.8598339706.55920.432440.913810.97704
Model IV0.92352446670.1333328896.36630.444690.923040.97921
Model V0.96647323123.8558208083.0170.365370.959730.98879
Model VI0.93993394961.8018274148.57110.412150.956030.98446
Model VII0.90717495125.5653337773.4470.434150.905440.97555

XGBoost-ANN model
Model I0.69691860530.7166839959.95240.775660.616660.83414
Model II0.88621582676.712290912.50110.263720.869040.96865
Model III0.95504341388.8802224162.01080.377790.955050.98838
Model IV0.95569338911.6945214402.02510.408760.955690.98856
Model V0.97551253464.6776151999.73280.408760.975220.99376
Model VI0.95603337627.8199226863.170.415460.719210.91102
Model VII0.707731108463.447872191.12370.958670.526070.75929

XGBoost-SVM model
Model I0.71722838810.8081666081.61490.639460.714360.91413
Model II0.89679527105.4427333897.59180.404140.892830.97276
Model III0.80479717164.8809466107.8170.645010.801610.93934
Model IV0.80151735499.0773491505.05680.658810.791340.93388
Model V0.8031715627.4657451267.66910.530510.802460.94242
Model VI0.72157853201.115542534.2550.607760.795450.93821
Model VII0.80124727702.5318450836.05210.548790.795740.93678