Interpreting random forest classification models using a feature contribution method

Palczewska, AM, Palczewski, J, Marchese Robinson, R et al. (1 more author) (2014) Interpreting random forest classification models using a feature contribution method. In: Bouabana-Tebibel, T and Rubin, SH, (eds.) Integration of Reusable Systems. Springer , 193 - 218 (26). ISBN 3319047167

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Authors/Creators:
  • Palczewska, AM
  • Palczewski, J
  • Marchese Robinson, R
  • Neagu, D
Copyright, Publisher and Additional Information: © 2014, Springer. This is an author produced version of a paper published in Integration of Reusable Systems. Uploaded in accordance with the publisher's self-archiving policy. The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-04717-1_9
Keywords: Computers
Dates:
  • Published: 31 March 2014
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Maths and Physical Sciences (Leeds) > School of Mathematics (Leeds) > Applied Mathematics (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 10 Jun 2014 08:50
Last Modified: 26 Apr 2015 12:19
Published Version: http://dx.doi.org/10.1007/978-3-319-04717-1_9
Status: Published
Publisher: Springer
Refereed: Yes
Identification Number: https://doi.org/10.1007/978-3-319-04717-1_9

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