Decision Tree Classifier with Majority vote (Is 50% a majority vote)
The goal of ID3 is to get the purest nodes possible ( ironically that is what contributes to its problem of overfitting), so 50% is not pure at all, the data under that node is equally likely to be in one of the classes which makes peedicition tricky, it would be better to grow the tree further and find nodes which are more pure than atleast 50%.