1. What is bagging and bootstrapping?
2. State the advantages and disadvantages of random forest algorithm.
3. Explain in brief SVM.
4. Explain linearly separable and linearly non separable data. Also state any method how we can convert linearly non separable data for linear classifiers.
5. For the dataset given find the Support vectors and decision boundary.

            Positively labeled data set = {(3,1) (3,-1)(6,1) (6-1)}

            Negatively labeled data set = {(1,0) (0,1) (0,-1) (-1,0)}