We performed several experiments in order to try to obtain
the highest classification accuracy. In a first experiment we
executed 10 classification algorithms using all available information
(77 attributes). In a second experiment, we used
only the best attributes selected (15). In a third experiment,
we repeated the executions by using re-balanced data files.
In a final experiment we considered different costs in the
classification.