Question 4 Consider a classification scenario where the data consists of 15 binary attiibutes, and It) observations. We are interested in employing complete decision trees of depth 2 {3 internal nodes, 4 leaf nodes) as our chosen algorithm for performing classication. An example of a depth-2 complete decision tree is shown below: It is also known that each such decision tree has a I115 probability of accurately classifying a single data instance in the above scenario. a. What is the total number of all such possible trees that can be constructed using the given data? b. What is the probability that such a decision tree will accurately classify all 10 data instances? c. What is the probability that at least one such decision tree will accurately classify all It) data instances? d. Comment on the quality of the classiers by looking at the result obtained in (c)? State the name of the phenomena being experienced in (c)