Provide answers based on the following set of training examples Instance al a2 Classification 1 T T + 2 T T + T F F F + F T F T a. What is the entropy of this collection of training examples with respect to the target function classification (2 marks) b. What is the information gain of a2 relative to these training examples (1 marks) c. Why do we prefer shorter /smaller trees while learning decision tree? Does ID-3 guarantee shorter tree? (2 mark)