title: How to obtain information gain from a scikit-learn DecisionTreeClassifier?
body: <p>I see that DecisionTreeClassifier accepts criterion='entropy', which means that it must be using information gain as a criterion for splitting the decision tree. 
  What I need is the information gain for each feature at the root level, when it is about to split the root node.</p>