in the predictive modelthe data' attributes that are determined through observation are represented by the brancheswhile the conclusions about the data' target value are represented in the leaves when "learninga treethe source data is divided into subsets based on an attribute value testwhich is repeated on each of the derived subsets recursively once the subset at node has the equivalent value as its target value hasthe recursion process will be complete let' look at an example of various conditions that can determine whether or not someone should go fishing this includes weather conditions as well as barometric pressure conditions fishing decision tree example in the simplified decision tree abovean example is classified by sorting it through the tree to the appropriate leaf node this then returns the classification associated with the particular leafwhich in this case is