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 models in predicting drug prescriptions using patient