Interpretation of Machine-Learning-Based (Black-box) Wind Pressure Predictions for Low-Rise Gable-Roofed Buildings Using Shapley Additive Explanations (SHAP)

Interpretation of Machine-Learning-Based (Black-box) Wind Pressure Predictions for Low-Rise Gable-Roofed Buildings Using Shapley Additive Explanations (SHAP)

Conventional methods of estimating pressure coefficients of buildings retain time and cost constraints. Recently, machine learning (ML) has been successfully established to predict wind pressure coefficients. However, regardless of the accuracy, ML models are incompetent in providing end-users’ conf...

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Bibliographic Details
Main Authors: Pasindu Meddage, Imesh Ekanayake, Udara Sachinthana Perera, Hazi Md. Azamathulla, Md Azlin Md Said, Upaka Rathnayake
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Buildings
Subjects:
explainable machine learning
pressure coefficient
shapley additive explanation
tree-based machine learning
gable-roofed low-rise building
Online Access:https://www.mdpi.com/2075-5309/12/6/734

Internet

https://www.mdpi.com/2075-5309/12/6/734

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