Prediction of Heart Attack Using Machine Learning Classification Algorithms

Background: This study focuses on evaluating the performance of five prominent machine learning classifiers, Random Forest, Naive Bayes, Decision Tree, K-Nearest Neighbors (K-NN), and Support Vector Machine (SVM), in predicting breast cancer outcomes.