Improvement Performance of the Random Forest Method on Unbalanced Diabetes Data Classification Using Smote-Tomek Link_Similiarity

Hairani, Hairani Improvement Performance of the Random Forest Method on Unbalanced Diabetes Data Classification Using Smote-Tomek Link_Similiarity. JOIV : International Journal on Informatics Visualization.

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Item Type: Article
Additional Information: Similiarity
Contributors:
ContributionNameEmail
AuthorHairani, Hairanihairani@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 00:58
Last Modified: 19 Apr 2023 00:58
URI: http://repository.universitasbumigora.ac.id/id/eprint/2633

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