2. 

Consider the decision boundaries for three binary classifiers below (note that the boundaries here are only hypothetical and may not come from actual models or data). Assume that one classifier is an RBF kernel SVM, another classifier is a linear kernel SVM trained without regularization and noise, and the third classifier is a logistic regression trained without regularization. 1. (1%) Which decision boundary (a, b or c) belongs to the RBF kernel SVM? Explain why. 2. (1%) Which decision boundary (a, b or c) belongs to the linear kernel SVM? Explain why. (a) (b) (c)