Item D error, support vector machine maps the sample space to a high-dimensional or even infinite-dimensional feature space through a nonlinear mapping, which transforms the nonlinear separable problem in the original low-dimensional sample space into a linear separable problem in the high-dimensional feature space, in short, upscaling and linearization.