3. Suppose that we learned the above weights using logistic regression. Using this model,what would be our prediction for P (Y=1|X₁, X₂)? (You may want to use the sigmoid function1o(z)= =1+e-² 2. Suppose you are given the following classification task using Logistic Regression: predict thetarget Y = {0, 1} given two real valued features X₁ and X₂. After some training, you learnthe following decision rule:If w₁X₁ + W₂X₂ + wo ≥ 0 Predict Y= 1, otherwise predict Y = 0; where model parameters aretuned to w₁ = 3,w₂ = 5, and wo- - 15. With these values the model is: 3X₁ +5X₂ - 15 = 0Plot 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 = 010988765432TO1T-2-3-4-5-5-4-3-2-1 0 1 2 3 4 5 6 7 8 9 10+~

Q2 Logistic regression is one of the most popular machine learning algorithms that fall under the…

Answered: 2. Suppose you are given the following…

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