33- Explain bootstrapping and explain its distinction with the cross-folding method. Provide an example for [20 points] both methods if we sample the following training dataset three times. Dataset: (x1,x2, , x20) 34- Which statement is not accurate? Explain why? [20 points] a) Decision trees provide an intuitive way of classifications. In a decision tree, at each intermediate node, we split the corresponding data into multiple groups by comparing a feature against a threshold. Decision trees can be used only for classification and not for regression. Random forest and SVM are two important implementations of decision trees. b) c) d) 5- Which one of the following graphs is considered as a tree and which one not. [20 points] d]