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Support Vector Machine (or SVM) is a supervised algorithm that classifies cases by finding a separator. mapping data to a high-dimensional feature space finding a separator The SVM algorithm outputs an optimal hyperplane that categorizes new examples. Kernelling, such as linear, polynomial, RBF, ...