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arXiv · 1508.07551

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

Awudu Karim·Shangbo Zhou
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Abstract

In this work, the TREPAN algorithm is enhanced and extended for extracting decision trees from neural networks. We empirically evaluated the performance of the algorithm on a set of databases from real world events. 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 regression problems and the ability to comprehend generalized feed forward networks is achieved.

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Awudu Karim, Shangbo Zhou. 2015-08-30. X-TREPAN: a multi class regression and adapted extraction of comprehensible decision tree in artificial neural networks. https://arxiv.org/abs/1508.07551

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