4- Compare the error rate of Bayesian classifier with those of NN and 3NN. Explain why and in which conditions those relations hold. (20%) 5- Explain the property of the decision boundary in SVM linear classifier. Show and explain how this can be obtained using appropriate figure (s). (20%)