A data analyst was interested in using Support $(1\mathrm{.}5$ marks$)$

for binary classification. But the $m$ dimenport Vector Machine $($SVM$)$

ested in$,$ is not linearly separable $m$ dimensional data that he is inter$-$

feature map for the transformation So$,$ one of his interns arrived at a

space. The feature map is defined of the data into a higher dimensional

defined as

Find the dimension of the transfor $x_1^3,x_2{x}_3,x_2{x}_3{x}_4,$cdots,$x_{m-2}{x}_{m-1}{x}_m.$

kernel $K(x,y)$ that can be used in SVM$.$