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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.

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Title: 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.
Authors: Rimal, Yagyanath1, rimal.yagya@gmail.com, Sharma, Navneet1, Alsadoon, Abeer2,3,4
Source: Multimedia Tools & Applications; Sep2024, Vol. 83 Issue 30, p74349-74364, 16p
Database: Applied Science & Technology Source
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        Value: 10.1007/s11042-024-18426-2
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      – Code: eng
        Text: English
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      – TitleFull: 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.
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            NameFull: Sharma, Navneet
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              Text: Sep2024
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