Research Article
Developing an Integrative Data Intelligence Model for Construction Cost Estimation
Table 4
Performance measures of AI models for testing data.
| ā | R2 | RMSE | MAE | MAPE | Nash | WI |
| XGBoost-RF model | Model I | 0.62154 | 1227246.543 | 874941.6745 | 0.55214 | 0.58448 | 0.88937 | Model II | 0.66971 | 831959.7023 | 619292.1689 | 0.35191 | 0.80904 | 0.94221 | Model III | 0.87382 | 804900.462 | 582701.9977 | 0.30825 | 0.82126 | 0.9404 | Model IV | 0.8553 | 859581.3363 | 591577.1935 | 0.2804 | 0.79615 | 0.92993 | Model V | 0.85961 | 823500.3632 | 554104.6337 | 0.25399 | 0.81291 | 0.93815 | Model VI | 0.87211 | 693311.4488 | 424619.6505 | 0.25539 | 0.86739 | 0.962557 | Model VII | 0.86511 | 706201.1783 | 461238.6876 | 0.26279 | 0.86241 | 0.961966 |
| XGBoost-ANN model | Model I | 0.59486 | 1297368.569 | 919557.1617 | 0.56905 | 0.53564 | 0.88069 | Model II | 0.75537 | 1150901.062 | 763471.3537 | 0.33141 | 0.63458 | 0.9049 | Model III | 0.73428 | 1004876.227 | 578230.6713 | 0.28253 | 0.72142 | 0.9241 | Model IV | 0.7481 | 979906.0497 | 523097.5798 | 0.28778 | 0.7351 | 0.92872 | Model V | 0.85042 | 750698.034 | 459356.0909 | 0.26579 | 0.84453 | 0.95641 | Model VI | 0.84828 | 864172.2326 | 570128.7514 | 0.23589 | 0.79398 | 0.93062 | Model VII | 0.83202 | 836314.9646 | 545942.9388 | 0.23004 | 0.80704 | 0.93977 |
| XGBoost-SVM model | Model I | 0.64182 | 1158278.86 | 803076.3523 | 0.80044 | 0.62987 | 0.89511 | Model II | 0.77873 | 946666.831 | 713338.1417 | 0.38731 | 0.75276 | 0.92379 | Model III | 0.81801 | 879551.0025 | 631843.2588 | 0.33659 | 0.78658 | 0.93023 | Model IV | 0.8256 | 856049.4301 | 586251.8811 | 0.26047 | 0.79783 | 0.93494 | Model V | 0.83321 | 826462.8309 | 542359.3988 | 0.23651 | 0.81156 | 0.94219 | Model VI | 0.78213 | 907434.4113 | 623458.3053 | 0.24091 | 0.77283 | 0.93306 | Model VII | 0.75791 | 958666.6949 | 633398.3941 | 0.24339 | 0.74646 | 0.92462 |
|
|