Decision Tree Regression vs. Gradient Boosting Regressor Models for the Prediction of Hygroscopic Properties of Borassus Fruit Fiber

This research focuses on the environmental-friendly production of Borassus fruit fibers (BNF), its characterization, and hygroscopic properties determination via Dynamic Vapor Sorption (DVS). The experimental results obtained from the hygroscopic behavior analysis were used to create a primary datas...

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主要な著者:	Assia Aboubakar Mahamat, Moussa Mahamat Boukar, Nordine Leklou, Amandine Celino, Ifeyinwa Ijeoma Obianyo, Numfor Linda Bih, Tido Tiwa Stanislas, Holmer Savastanos
フォーマット:	Artigo
言語:	Inglês
出版事項:	MDPI AG 2024-08-01
シリーズ:	Applied Sciences
主題:	decision tree gradient boosting hygroscopic properties Borassus fruit fiber
オンライン･アクセス:	https://www.mdpi.com/2076-3417/14/17/7540
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