Paper Title
Application of Different Classifiers on Heart Disease Detection Dataset

The given problem is prediction of heart disease, to classify users from dataset of UCI data repository into 5 classes. Goal of the experiment is to classify users into classes which is non-zero (1, 2, 3 or 4) for severity of presence and zero for absence of heart disease and to measure the correctness of our classifier. Keywords - PCA Dimensionality Reduction, Linear SVM, RBF SVM, Stratified K-Means Algorithm