Decision Tree, Entropy, Information Gain, Gini Index.
classifications can be repeated. The important things from data science perspective are: 1. Flow of information through the Decision Tree 2. How does Decision Trees select which variable to split on at decision nodes? 3. How does it decide that the tree has enough branches and that it should stop