difference between entropy between before and after split  infogain(f) = entropy(s1)-entropy(s2) =post-pre split
to determine the optimal feature to split upon, the decision tree algorithm calculates the change in entropy that would result from a split on each possible feature.
a measure on how well an attribute will split up the remaining data into disjunct groups