as function of the original featuresthe linear svm model is not actually linear anymore it is not linebut more of an ellipseas you can see from the plot created here (figure - )in[ ]zz yy * dec linear_svm_ decision_function(np c_[xx ravel()yy ravel()zz ravel()]plt contourf(xxyydec reshape(xx shape)levels=[dec min() dec max()]cmap=mglearn cm alpha= mglearn discrete_scatter( [: ] [: ]yplt xlabel("feature "plt ylabel("feature " supervised learning