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Minimizing a quadratic objective function (w\(_i^2\)) subject to certain constraints where i= 1 to n, in SVM is known as primal formulation of linear SVMs.

Minimizing a quadratic objective function (w\(_i^2\)) subject to certain constraints where i= 1 to n, in SVM is known as primal formulation of linear SVMs. Correct Answer True

Minimizing a quadratic objective function (w\(_i^2\)) subject to certain constraints in SVM is known as primal formulation of linear SVMs. It is an SVM optimisation problem. It is a convex quadratic programming optimisation problem with n variables, where n is the number of features in the data set.

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