Decision trees don't have to be representations of decision making ... If all the balls were in a single box, then this would be nicely ordered, and it would be extremely easy to find a particular ...

Decision trees are at their heart a fairly simple type of classifier, and this is one of their advantages. Decision trees are constructed by analyzing a set of training examples for which the ...

Decision Trees are a popular machine learning method that partitions the feature space into smaller regions and models the response variable in each region using simple rules. However, Decision Trees ...