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

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

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Item Type: Article
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Fakultas Teknik dan Desain > Ilmu Komputer
Depositing User: Dr.Ir Anthony Anggrawan
Date Deposited: 18 Jan 2023 10:14
Last Modified: 18 Jan 2023 10:14
URI: http://repository.universitasbumigora.ac.id/id/eprint/2418

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