A comparative study of NGBoost and traditional machine learning models for prediction of compressive strength of geopolymer concrete
Crossref DOI link: https://doi.org/10.1007/s42107-025-01449-x
Published Online: 2025-07-21
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Ramujee, K.
Praseeda, D.
Text and Data Mining valid from 2025-07-21
Version of Record valid from 2025-07-21
Article History
Received: 8 June 2025
Accepted: 15 July 2025
First Online: 21 July 2025
Declarations
:
: The authors declare no competing interests.