A Comparative Study of Drug Prediction Models using KNN, SVM, and Random Forest

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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Bibliographic Details
Main Author: Susi Eva Maria Purba
Format: Article
Language:English
Published: Informatics Department, Faculty of Computer Science Bina Darma University 2025-03-01
Series:Journal of Information Systems and Informatics
Subjects:
drug classification, machine learning, k-nearest neighbors (knn), support vector machine (svm), random forest, predictive modeling
Online Access:https://journal-isi.org/index.php/isi/article/view/1013
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