IMPLEMENTATION OF BALANCING DATA METHOD USING SMOTETOMEK IN DIABETES CLASSIFICATION USING XGBOOST

IMPLEMENTATION OF BALANCING DATA METHOD USING SMOTETOMEK IN DIABETES CLASSIFICATION USING XGBOOST

In this research, XGBoost algorithm and the SMOTETomek approach are employed with the objective of enhancing the accuracy of diabetes classification. The study utilises 2,000 patient data points, comprising demographic and medical information, sourced from Kaggle. The dataset employed in this study...

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Bibliographic Details
Main Authors:	Fatwa Ratantja Kusumajati, Basuki Rahmat, Achmad Junaidi
Format:	Article
Language:	English
Published:	Informatics Department, Engineering Faculty 2024-12-01
Series:	Jurnal Ilmiah Kursor: Menuju Solusi Teknologi Informasi
Subjects:	Balancing Data Diabetes Classification SMOTETomek XGBOOST
Online Access:	http://www.kursorjournal.org/index.php/kursor/article/view/410
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