A Comparison of Random Forest and Support Vector Machine Classification Algorithms for Imbalanced and Balanced Rodent Tuber Dataset with Random Oversampling Method

Binanto, Iwan (2025) A Comparison of Random Forest and Support Vector Machine Classification Algorithms for Imbalanced and Balanced Rodent Tuber Dataset with Random Oversampling Method. 2024 Ninth International Conference on Informatics and Computing (ICIC).

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Item Type: Article
Subjects: T Technology > TB Information Technology
Divisions: Faculty of Science and Technology > Department of Informatics Engineering
Depositing User: Maria Yovita Qwartiti
Date Deposited: 22 Apr 2025 06:31
Last Modified: 22 Apr 2025 06:31
URI: http://repository.usd.ac.id/id/eprint/53899

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