• DOI:10.1109/IRI.2013.6642461
Corpus ID: 16311309

Interpreting random forest models using a feature contribution method

@article{Palczewska2013InterpretingRF,
  title={Interpreting random forest models using a feature contribution method},
  author={A. Palczewska and Jan Palczewski and R. Robinson and D. Neagu},
  journal={2013 IEEE 14th International Conference on Information Reuse & Integration (IRI)},
  year={2013},
  pages={112-119}
}

A. Palczewska, Jan Palczewski, +1 author D. Neagu

Published 2013

Computer Science

2013 IEEE 14th International Conference on Information Reuse & Integration (IRI)

Model interpretation is one of the key aspects of the model evaluation process. [...] Key Result The robustness of results is demonstrated through an extensive analysis of feature contributions calculated for a large number of generated random forest models.Expand Abstract

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