Seeing the Forest Through the Trees: Learning a Comprehensible Model from an Ensemble

@inproceedings{Assche2007SeeingTF,
  title={Seeing the Forest Through the Trees: Learning a Comprehensible Model from an Ensemble},
  author={Anneleen Van Assche and Hendrik Blockeel},
  booktitle={ECML},
  year={2007}
}
Ensemble methods are popular learning methods that usually increase the predictive accuracy of a classifier though at the cost of interpretability and insight in the decision process. In this paper we aim to overcome this issue of comprehensibility by learning a single decision tree that approximates an ensemble of decision trees. The new model is obtained by exploiting the class distributions predicted by the ensemble. These are employed to compute heuristics for deciding which tests are to be… CONTINUE READING

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