Construction cost prediction system based on Random Forest optimized by the Bird Swarm Algorithm
Predicting construction costs often involves disadvantages, such as low prediction accuracy, poor promotion value and unfavorable efficiency, owing to the complex composition of construction projects, a large number of personnel, long working periods and high levels of uncertainty.To address these concerns, a prediction index system and a predictio