Question: . Suppose you are given the following classification task: predict the target Y 2 {0, 1}, given two real valued features X1 2 R and

. Suppose you are given the following classification task: predict the target Y 2 {0, 1}, given two real valued features X1 2 R and X2 2 R. After some training, you learn the following decision rule: Predict Y = 1 if w1X1 + w2X2 + w0 0 and Y = 0 otherwise, where w1 = 3, w2 = 5, and w0 = 15. Plot the decision boundary on the {x1, x2} feature space and label the region where we would predict Y = 1 and Y = 0.

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