Answer the following questions about decision trees, considering the data set of a car insurance company shown in the table below: Crashmsk Family Sports Sports Family Family Sports a. \\ Assume that CrashRisk is the class attribute. Explain which of the remaining attributes are appropriate for classification. (1 marks) b. Describe how you construct a decision tree using this data set, i.e.. growing the tree from the root node until the leaf nodes are \"pure" (i.e., contain only records from the same class). Explain the split test used at each node. Explain how you would use the information gain and entropy concepts, to derive the split node. Please provide your formulations for the calculation. (4 marks)