Construct a data cube from Fact Table. Is this a dense or sparse data cube? If it is sparse, identify the cells that are empty. The data cube is shown in Data Cube Table 4. Fact Table Location ID Product ID Number Sold 10 Data Cube Table Location ID Product ID Number Sold 16 27 45 10 Total 15 24 5. 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 as reduced error pruning. a. b. c. Instance AB C Class 0 1 0 1 0 0 1 1 0 10 1 10 Validation: Instance A B Class 12 01 1+ 13 14 1 0 1