7 of 8 Question 5 (25%) I. Table 4 is a training dataset for a two-category classification task Table 4. Data set with 4 attributes Given the entropy equations below, derive the information gain and construct a one level decision tree for this data using the information gain as your splitting criterion entropy(D)--20,log2(Pi) entropy(pi,Pa m)P log2 P1 -Pz log2 PPn log2 Pr Please show all calculations and tree construction at the first level. (15 Mark) Il. The following decision tree can be used to classify students as short, tall or medium. Based orn the node information shown in the tree, build a neural network structure that is composed of three layers Gender -M Height Height 1.8m $1.5m 2m 113m 1,8m Short Medium Tall Short Medium Tall 1). Assign labels to each of the neurons in the network 2). Connect all neurons between the layers by arcs. 3). Annotate weights for each arc (interconnection). 4). Briefly justify why you chose those tree nodes to define neurons in the input and output layers (1 Mark) (1 Mark) (2 Marks) and why you build the neural network in this way (6 marks) 8 of 8