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Decision tree's induction strategies evaluated on a hard real world problem
Zorman, Milan ...
Decision trees have been already successfully used in medicine, but as in traditional statistics, some hard real world problems can not be solved successfully using the traditional way of induction. ...In our experiments we tested various methods for building unvariate decision trees in order to find the best induction strategy. On a hard real world problem of the orthoopaedic fracture data with 2637 cases, described by 23 attributes and a decision with three possible values, we built decision trees with four classical approaches, one hybrid approach where we combined neural networks and decision trees, and with evolutionary approach. The results show that all appraches had problems with either accuracy, sensitivity, or decision tree size. The comparison shows that the best compromise in hard real world problem decision trees building is the evolutionary approach.
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