A Comparative Study of Drug Prediction Models using KNN, SVM, and Random Forest
Accurate drug classification is essential in medical decision-making to ensure patients receive appropriate prescriptions based on their physiological and biochemical characteristics. This study compares the performance of K-Nearest Neighbors (KNN), Support Vector Machine (SVM), and Random Forest mo...
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| Main Author: | |
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| Format: | Article |
| Language: | English |
| Published: |
Informatics Department, Faculty of Computer Science Bina Darma University
2025-03-01
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| Series: | Journal of Information Systems and Informatics |
| Subjects: | |
| Online Access: | https://journal-isi.org/index.php/isi/article/view/1013 |
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