Question: 1. Maximal-Margin Classifier. (15 points) Consider a binary classification problem in R2, the training set with 6 samples is given as below: (a) (5 points)Plot

 1. Maximal-Margin Classifier. (15 points) Consider a binary classification problem in

1. Maximal-Margin Classifier. (15 points) Consider a binary classification problem in R2, the training set with 6 samples is given as below: (a) (5 points)Plot the data sample on a 2D plane, and draw the decision boundary obtained by the Maximal-Margin Classifier. Write down the equation for the boundary. (b) (5 points)What is the value for w1,w2,b and ? What is the the margin? (c) (5 points) Among all the data samples above, find one data sample that if it is removed, the Maximal-Margin Classifier boundary will change. What is the equation for the new boundary

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