Putting together a decision tree is all a matter of choosing which attribute to test at each node in the tree. We shall define a measure called information gain which will be used to decide which ...

The information gain, which is expressible via the Kullback-Leibler divergence 6, always has a nonnegative value. In the random forests 8 approach, many different decision trees are grown by a ...