Crossmark

The accuracy of machine learning models relies on hyperparameter tuning: student result classification using random forest, randomized search, grid search, bayesian, genetic, and optuna algorithms

Crossref DOI link: https://doi.org/10.1007/s11042-024-18426-2

Published Online: 2024-02-15

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Rimal, Yagyanath https://orcid.org/0000-0003-1045-7728
Sharma, Navneet

Alsadoon, Abeer
License Information

Text and Data Mining valid from 2024-02-15

Version of Record valid from 2024-02-15
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Article History

Received: 23 October 2023

Revised: 22 December 2023

Accepted: 22 January 2024

First Online: 15 February 2024

Declarations

:

: The authors declare no conflicts of interest in publishing this paper.

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