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X in 2 R N times 2 is the feature matrix of N samples in 2 dimensions and y in R N is the

X in
2
R
N\times 2
is the feature matrix of N samples in 2 dimensions and y in R
N is the label
vector (\pm 1). Use initial value w0=[1; 1]T
. Now, run your perceptron algorithm
on the given data (execute hw0.py). What are the error rates of the prediction
with the initial w0 and resulting weight w? The prediction on a single data point
xt can be computed by comparing w, xt with the threshold 0(e.g.,w, xt>=0
then the predicted label is +1).

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