e the optimization problem and find that what the C
parameter does is actually limit the influence of individual data points. With very large C, we said we have no regularization.
It also means individual data points can have basically unlimited influence, as you can see here. There are two outliers
here, which basically completely tilt the decision boundary.
But if we decrease C, and therefore increase the regularization, what happens is that the influence of these outlier points
becomes limited, and the o