Combinatorial machine learning approaches for high-rise building cost prediction and their interpretability analysis

This study focuses on addressing housing gaps in populous southern countries by emphasizing the importance of accurate early cost estimation in construction projects. It compares individual cost prediction models (Decision Tree, BP Neural Network, and Support Vector Machine) with combined prediction...

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Bibliographic Details
Main Authors: Zenghui Liu, Jing Lin
Format: Article
Language:English
Published: Taylor & Francis Group 2025-07-01
Series:Journal of Asian Architecture and Building Engineering
Subjects:
Online Access:http://dx.doi.org/10.1080/13467581.2024.2378001
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