Published August 18, 2026
| Version v1.0
Software
Open
Machine Learning Prediction and Analysis of Area-Averaged External Pressure Coefficients for Low-Rise Dual-Slope Building Roofs in a Uniform Turbulent Flow Field
Description
This repository contains the Python source code used in the manuscript submitted to Scientific Reports (Submission ID: 6863fb0f-195c-40c1-a8fd-715d7a1725ca). The code includes:
- Multiple linear regression model development and analysis
- Second-order response surface model (RSM) implementation
- Variable correlation analysis - Machine learning model training and performance evaluation (Random Forest, XGBoost, LightGBM)
- SHAP-based model interpretation All scripts are organized according to the analysis procedures presented in the manuscript.
Roof_Shape_Factor_ML_Code_v1.0
│── README.md
│── requirements.txt
│── LICENSE
│
├── 4.1 and 4.2
├── 4.3
├── 5.2
├── 5.3
└── 5.4
Files
Roof_Shape_Factor_ML_Code_v1.0.zip
Additional details
Dates
- Other
-
2026-08-18Initial release of the source code repository associated with the revised manuscript.