For a classification problem with two features (that is, our feature vector a has two components,...

 

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For a classification problem with two features (that is, our feature vector a has two components, i.e., x = (, )) 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 = Consider the points 1 3' 2 = 2 fl = fly () 3 log(2) A = 4-(), "-(-). 27 B = log(2) 5 12 and 5 = - (2-2) -1- :(-+- C = log(2) 27 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. For a classification problem with two features (that is, our feature vector a has two components, i.e., x = (, )) 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 = Consider the points 1 3' 2 = 2 fl = fly () 3 log(2) A = 4-(), "-(-). 27 B = log(2) 5 12 and 5 = - (2-2) -1- :(-+- C = log(2) 27 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.

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For LDA classification rule pxyc 2d212 exp12 xcT 1 xc c Where d dimensionality of features 2 1 13 ... View the full answer