Adaboost algorithm-based cost risk assessment for university laboratory construction

Key Points

• The Adaboost algorithm effectively predicts cost risks in laboratory construction projects, ensuring better budget management.
• Key evidence shows that projects utilizing Adaboost experience up to 30% fewer cost overruns compared to traditional methods.
• Analysis highlights the benefits of implementing algorithmic approaches in identifying potential financial risks efficiently.
• Supports the need for advanced data analysis tools in the field of construction management, aiming at reducing overall costs.

Abstract