Mahamat, A.A.; Boukar, M.M.; Leklou, N.; Celino, A.; Obianyo, I.I.; Bih, N.L.; Stanislas, T.T.; Savastanos, H., Jr.
Decision Tree Regression vs. Gradient Boosting Regressor Models for the Prediction of Hygroscopic Properties of Borassus Fruit Fiber. Appl. Sci. 2024, 14, 7540.
https://doi.org/10.3390/app14177540
AMA Style
Mahamat AA, Boukar MM, Leklou N, Celino A, Obianyo II, Bih NL, Stanislas TT, Savastanos H Jr.
Decision Tree Regression vs. Gradient Boosting Regressor Models for the Prediction of Hygroscopic Properties of Borassus Fruit Fiber. Applied Sciences. 2024; 14(17):7540.
https://doi.org/10.3390/app14177540
Chicago/Turabian Style
Mahamat, Assia Aboubakar, Moussa Mahamat Boukar, Nordine Leklou, Amandine Celino, Ifeyinwa Ijeoma Obianyo, Numfor Linda Bih, Tido Tiwa Stanislas, and Holmer Savastanos, Jr.
2024. "Decision Tree Regression vs. Gradient Boosting Regressor Models for the Prediction of Hygroscopic Properties of Borassus Fruit Fiber" Applied Sciences 14, no. 17: 7540.
https://doi.org/10.3390/app14177540
APA Style
Mahamat, A. A., Boukar, M. M., Leklou, N., Celino, A., Obianyo, I. I., Bih, N. L., Stanislas, T. T., & Savastanos, H., Jr.
(2024). Decision Tree Regression vs. Gradient Boosting Regressor Models for the Prediction of Hygroscopic Properties of Borassus Fruit Fiber. Applied Sciences, 14(17), 7540.
https://doi.org/10.3390/app14177540