X-TREPAN: a multi class regression and adapted extraction of comprehensible decision tree in artificial neural networks

@article{Awudu2015XTREPANAM,
  title={X-TREPAN: a multi class regression and adapted extraction of comprehensible decision tree in artificial neural networks},
  author={Karim Awudu and S. Zhou},
  journal={ArXiv},
  year={2015},
  volume={abs/1508.07551}
}
In this work, the TREPAN algorithm is enhanced and extended for extracting decision trees from neural networks. [...] Key Method This benchmark enhancement was achieved by adapting Single-test TREPAN and C4.5 decision tree induction algorithms to analyze the datasets. The models are then compared with X-TREPAN for comprehensibility and classification accuracy. Furthermore, we validate the experimentations by applying statistical methods. Finally, the modified algorithm is extended to work with multi-class…Expand
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