Prediction of Ecofriendly Concrete Compressive Strength Using Gradient Boosting Regression Tree Combined with GridSearchCV Hyperparameter-Optimization Techniques

Prediction of Ecofriendly Concrete Compressive Strength Using Gradient Boosting Regression Tree Combined with GridSearchCV Hyperparameter-Optimization Techniques

A crucial factor in the efficient design of concrete sustainable buildings is the compressive strength (Cs) of eco-friendly concrete. In this work, a hybrid model of Gradient Boosting Regression Tree (GBRT) with grid search cross-validation (GridSearchCV) optimization technique was used to predict t...

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Bibliographic Details
Main Authors: Zaineb M. Alhakeem, Yasir Mohammed Jebur, Sadiq N. Henedy, Hamza Imran, Luís F. A. Bernardo, Hussein M. Hussein
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Materials
Subjects:
gradient boosting regression tree
machine learning
SHAP
eco-friendly concrete
compressive strength
prediction
Online Access:https://www.mdpi.com/1996-1944/15/21/7432

Internet

https://www.mdpi.com/1996-1944/15/21/7432

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