There are $2$ samples in your training set. Draw the SVM decision boundary and support vectors.

What is the equation of the decision boundary $($i$.$e$.,w^{T}x+b=0$ or in this case $w1x1+w22+b=0?$ Is it $-x2+3=0$ or $x23=0?$ What is the difference?

What is $||w||$ and consequently the margin? Should you change the equation for the decision boundary?

Classify the following test sample using the equation of the decision boundary: $(0,0)$

Verify that $pro{p}_{+}=pro{p}_{-}$

$\frac{del{L}_p}{\text{d}\text{e}\text{l}\text{w}}=0=>w={\displaystyle \underset{i=1}{\overset{N}{}}}{}_i{y}_i{x}_i$

$\frac{del{L}_p}{\text{d}\text{e}\text{l}\text{b}}=0=>{\displaystyle \underset{i=1}{\overset{N}{}}}{}_i{y}_i=0$