when building tree which decision trees should be made when building a decision tree what is the relationship between what two attributes that have the highest information gain why use two attributes what is the difference between two attributes in a decision tree which attribute should be in a decision tree? why use two attributes that have the same maximum information gain? what to do when building a decision tree which two attributes of the decision tree are best what is the difference between the best two attributes with the same information gain in a decision tree? different types of data in decision tree when building a decision tree when to choose between best two attributes with the same information gain how does a information tree choose between the best two attributes with the same maximum information gain when building a decision tree, assume that there are two attributes that have the same maximum information gain. why choose an attribute over another how to decide which tree node should have the highest information gain? what two attributes can be chosen as a decision tree node? difference between two attributes which type of tree has the greatest information gain what is best attribute in a tree node