Decision Boundary Of Perceptron Too Small

I am trying to plot the decision boundary of a perceptron algorithm and am really confused about a few things. My input instances are in the form [(x1,x2),target_Value], basically

Solution 1:

First of all, you shouldn't add the bias to the input vectors. You only need to subtract or add the bias to all of your input vectors. For plotting, you might want to try plot the linear function that passes the two weight points.