“The support vector machine (SVM) is a supervised learning method that generates input-output mapping functions from a set of labeled training data." A Support Vector Machine (SVM) performs classification by finding the hyperplane that maximizes the margin between the two classes. The vectors (cases) that define the hyperplane are the …