XGBoost outperformed 19 other AI techniques in predicting conceptual costs of Egyptian field canal improvement projects, achieving 9.091% MAPE and 0.929 adjusted R-squared on a 144-case dataset.
Predicting telecommunication tower costs using fuzzy subtractive clustering
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Comparison of Artificial Intelligence Techniques for Project Conceptual Cost Prediction
XGBoost outperformed 19 other AI techniques in predicting conceptual costs of Egyptian field canal improvement projects, achieving 9.091% MAPE and 0.929 adjusted R-squared on a 144-case dataset.