The anticipation of compressive strength of geopolymer mortars with tree-based machine learning models: effect of training-testing ratios
Crossref DOI link: https://doi.org/10.1007/s42107-025-01336-5
Published Online: 2025-04-17
Published Print: 2025-06
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Cakmak, Talip
Ustabas, İlker
Text and Data Mining valid from 2025-04-17
Version of Record valid from 2025-04-17
Article History
Received: 31 March 2025
Accepted: 11 April 2025
First Online: 17 April 2025
Declarations
:
: The authors declare no competing interests.