KAENSAR, Chayaporn und WONGNIN, Worayoot, 2023. Predicting new student performances and identifying important attributes of admission data using machine learning techniques with hyperparameter tuning. Eurasia Journal of Mathematics, Science & Technology Education. 1 Dezember 2023. Vol. 19, no. 12, p. 1-16. DOI 10.29333/ejmste/13863.
Elsevier - Harvard (with titles)Kaensar, C., Wongnin, W., 2023. Predicting new student performances and identifying important attributes of admission data using machine learning techniques with hyperparameter tuning. Eurasia Journal of Mathematics, Science & Technology Education 19, 1-16. https://doi.org/10.29333/ejmste/13863
American Psychological Association 7th editionKaensar, C., & Wongnin, W. (2023). Predicting new student performances and identifying important attributes of admission data using machine learning techniques with hyperparameter tuning. Eurasia Journal of Mathematics, Science & Technology Education, 19(12), 1-16. https://doi.org/10.29333/ejmste/13863
Springer - Basic (author-date)Kaensar C, Wongnin W (2023) Predicting new student performances and identifying important attributes of admission data using machine learning techniques with hyperparameter tuning.. Eurasia Journal of Mathematics, Science & Technology Education 19:1-16. https://doi.org/10.29333/ejmste/13863
Juristische Zitierweise (Stüber) (Deutsch)Kaensar, Chayaporn/ Wongnin, Worayoot, Predicting new student performances and identifying important attributes of admission data using machine learning techniques with hyperparameter tuning., Eurasia Journal of Mathematics, Science & Technology Education 2023, 1-16.