[D] Accuracy improvement tweak for decision tree classifiers

A note describing a relatively simple tweak to squeeze more accuracy from decision tree classifiers:

Backtrack Tie-Breaking for Decision Trees

I did not find this mentioned in texts on decision tree classifiers. Is the subject overlooked or there are some inherent drawbacks associated to it?

decision improvement machinelearning tree