Using the data in the previous question, suppose we end up building a decision tree as follows:

where "HA" is short for "heart attack" and "3+" means record/patient 3 is YES on HA. Which of the following statements is true?

		It is the smallest decision tree among all possible decision trees that have no error on this training data.
		This decision tree is incorrect as it cannot predict using SMOKES or EXERCISES attributes.
		This decision tree is incorrect because if we acquire more training data, the tree would be changed.
		This decision tree gives the correct result for any new data.