Single$-$choice $(5$ points$)$

Which of the following statements NOT accurately describe the kernel trick used in support vector machines for classification?

A It relies on linear classifiers within this higher$-$dimensional space to achieve linear separation of data that is not linearly separable in the original space.

B Commonly used kernel functions include the linear kernel, polynomial kernel, and radial basis function $($RBF$)$ kernel.

C The kernel trick significantly reduces the computational complexity of SVMs$.$