2. Suppose you are given the following classification task using Logistic Regression: predict the target Y = {0,1} given two real valued features X₁ and X₂. After some training, you learn the following decision rule: [f_W₁X₁ +W₂X₂ +Wo ≥ 0 Predict Y = 1, otherwise predict Y = 0; where model parameters are tuned to w₁ = 3, W₂ = 5, and wo_ - 15. With these values the model is: 3X₁ +5X₂ - 15 = 0 Plot the decision boundary and label the region where we would predict Y = 1 and Y = 0. Hint: Determine the intercept by setting either X₁ = 0 or X₂ = 0
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