Consider an SVM with decision boundary w $$ x $+$ b $=0$ for a threedimensional

feature space. The learned weight vector is w $=[1,2,3]$ and b $=4.$ For a data point $($x$1=$

$[0,0,0],$ y$1=1)$ if it was in the training set, what is the smallest slack variable that would satifsy the

margin constraint?