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Support Vector Machines (SVM) are one of the supervised learning methods and are used for both classification and regression problems. SVM is a powerful algorithm that performs effectively especially on high-dimensional datasets. Its primary objective is to find an optimal hyperplane that separates or classifies the data. Definition Although support vector machines are used in both classification and regression analysis in the literature, they are generally preferred as a machine learning method