6- (1.5 points) [Predictive Analytics] You are given a training dataset shown in the following table: A B Class T T + T T + T + F + T F F F F T T T F *A and B are attributes (features) and class is the target attribute Suppose you want to build a decision tree from these training examples. Which attribute between A and B would you choose for the root of the decision tree if the information gain criterion is used? Why? Show your steps. Note: you can use a calculator to find the values of the log2 function