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 models in predicting drug prescriptions using patient attributes such as age. https://kicksncutes.shop/product-category/event/