Rimal, Y., Sharma, N., & Alsadoon, A. (2024). 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. Multimedia Tools & Applications, 83(30), 74349. https://doi.org/10.1007/s11042-024-18426-2
Chicago Style (17th ed.) CitationRimal, Yagyanath, Navneet Sharma, and Abeer Alsadoon. "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." Multimedia Tools & Applications 83, no. 30 (2024): 74349. https://doi.org/10.1007/s11042-024-18426-2.
MLA (9th ed.) CitationRimal, Yagyanath, et al. "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." Multimedia Tools & Applications, vol. 83, no. 30, 2024, p. 74349, https://doi.org/10.1007/s11042-024-18426-2.