Problem $1.$ Linear Classification

Consider a labeled training set shown in figure below:

$1\mathrm{.}1$

We initialize the parameters to all zero values and run the linear perceptron algorithm through these points in

a particular order until convergence. The number of mistakes made on each point are shown in the table

below. $($These points correspond to the data point in the plot above$)$

Note: You should be able to arrive at the answer without programming.

What is the resulting offset parameter ${}_0?$

Enter the numerical value for ${}_0$ :

${}_0=$

What is the resulting parameter $?$

$($Enter $$ as a vector, e$.$g$.$ type $0,1$ if $={\left[\begin{array}{cc}0& 1\end{array}\right]}^2..)$

$=$