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The following 1 0 instances are marked as positive ( Pi ) and negative ( Ni ) . A single Perceptron is used to divide
The following instances are marked as positive Pi and negative Ni A single Perceptron is
used to divide the input space into two classes based on the instances. The resulting decision
boundaryhyperplane is shown in Figure
P
P
P
P
P
N
N
N
N
N
The cutoff points of the hyperplane are at and
COSA
x
y
P
P
P
P
P
N
N
N
N
N
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