Consider the data points having two attributes as given below. A perceptron is trained using

Perceptron Training Rule with learning rate $=0\mathrm{.}01.$

During the training let the weights at some

particular point of time be as below.

Let classification of $y$ is obtained using

${\displaystyle \underset{?}{\overset{?}{}}}{w}_i{x}_{i}0$ signifying to green or positive.

$[w0=-0\mathrm{.}600,w1=-0\mathrm{.}100,w2=0\mathrm{.}280,$ err $=2],[w0=,w1=,w2=,$ err $=]$

Determine the weights after immediate

next epoch and the number of mis$-$

classified points.