categorizes

Is SVM Always Linear? All Answers (5) By default SVM works as a linear classifier when it maps a linear function of the n-dimensional input data onto a feature space where class separation can occur using a (n-1) dimensional hyperplane. … Consider the decision hyperplane in feature space; by definition, it is linear. How is