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Question 1 ( b ) The following 1 0 instances are marked as positive ( R 1 ) and negative ( N 1 ) .

Question 1(b)
The following 10 instances are marked as positive (R1) and negative (N1). A single Perceptron is
used to divide the input space into two classes based on the instances. The resulting decision
boundary/hyperplane is shown in Figure 2
P1=(4,1)
P2=(2,-1)
P3=(2,2)
P4=(5,5)
P5=(3,-2)
N1=(-3,4)
N2=(-1,1)
N3=(3,6)
N4=(-3,-1)
N5=(-2,3)
The cut-off points of the hyperplane are at (0,1.25) and (-1,0).
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