Hairani, Hairani Bukti Korespondensi_Improvement Performance of the Random Forest Method on Unbalanced Diabetes Data Classification Using Smote-Tomek Link. Department of Information Technology - Politeknik Negeri Padang, and Institute of Visual Informatics - UKM and Soft Computing and Data Mining Centre - UTHM, JOIV : International Journal on Informatics Visualization.

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Item Type:	Other
Additional Information:	Bukti Korespondensi
Contributors:	Contribution Name Email Author Hairani, Hairani hairani@universitasbumigora.ac.id
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:	Fakultas Teknik dan Desain > Ilmu Komputer
Depositing User:	hairani rani rani
Date Deposited:	19 Apr 2023 00:59
Last Modified:	19 Apr 2023 00:59
URI:	http://repository.universitasbumigora.ac.id/id/eprint/2634

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