Consider the decision tree shown below: Compute the generalization error rate of the tree using the optimistic approach. Compute the generalization error rate of the tree using the pessimistic approach. (For simplicity, use the strategy of adding a factor of 0.5 to each leaf node.) Compute the generalization error rate of the tree using the validation set shown above. This approach is known a. b. c. as reduced error pruning Training Instance A B C Class 1 1 010 01 1 100 100 1 1 0 4 1 6 11 0 11 0 10 Validation: Instance A B C Class 12 13 14 15 11 0 1 01 100