For a classification problem with two features (that is, our feature vector x has two components, i.e., x = (11,12)T) the label value is binary (the values of the response only take two values). We use an LDA approach and after fitting an LDA model we obtain the following parameters: 1 1 = 3 2 712 = 3' H = and -1 = , . = 5 -2 2 2 Consider the points 3 log(2) log(2) A= log(2) B= 27 C 12 Determine which one of these test points belongs to class 1, which one to class 2, and which one stands on the decision boundary. Present your solution. (3, 3) -(7),c=(-***) For a classification problem with two features (that is, our feature vector x has two components, i.e., x = (11,12)T) the label value is binary (the values of the response only take two values). We use an LDA approach and after fitting an LDA model we obtain the following parameters: 1 1 = 3 2 712 = 3' H = and -1 = , . = 5 -2 2 2 Consider the points 3 log(2) log(2) A= log(2) B= 27 C 12 Determine which one of these test points belongs to class 1, which one to class 2, and which one stands on the decision boundary. Present your solution. (3, 3) -(7),c=(-***)