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An empirical investigation into the interpretability of data mining models based on decision trees, tables and rules

An empirical investigation into the interpretability of data mining models based on decision trees, tables and rules
An empirical investigation into the interpretability of data mining models based on decision trees, tables and rules
While data mining research has largely focused on developing ever more accurate predictive models, a much smaller body of research has investigated to which extent these models are actually interpretable by decision makers. Given the importance of this aspect on the model's validation, acceptance and successful application, we will discuss an experimental study in which we empirically compare the interpretability of various representation forms, viz. decision tables, decision trees, propositional rules and oblique rules, as well as explore the effect of size or complexity on their usefulness.
Mues, C.
07438e46-bad6-48ba-8f56-f945bc2ff934
Huysmans, J.
4926c4a3-4dd3-477f-a352-de2a432f2d61
Baesens, B.
f7c6496b-aa7f-4026-8616-ca61d9e216f0
Vanthienen, J.
808131f1-b77b-4dee-bdda-90a94124c999
Mues, C.
07438e46-bad6-48ba-8f56-f945bc2ff934
Huysmans, J.
4926c4a3-4dd3-477f-a352-de2a432f2d61
Baesens, B.
f7c6496b-aa7f-4026-8616-ca61d9e216f0
Vanthienen, J.
808131f1-b77b-4dee-bdda-90a94124c999

Mues, C., Huysmans, J., Baesens, B. and Vanthienen, J. (2007) An empirical investigation into the interpretability of data mining models based on decision trees, tables and rules. 22nd European Conference on Operational Research (EURO XXII), Prague, Czech Republic. 07 - 10 Jul 2007.

Record type: Conference or Workshop Item (Paper)

Abstract

While data mining research has largely focused on developing ever more accurate predictive models, a much smaller body of research has investigated to which extent these models are actually interpretable by decision makers. Given the importance of this aspect on the model's validation, acceptance and successful application, we will discuss an experimental study in which we empirically compare the interpretability of various representation forms, viz. decision tables, decision trees, propositional rules and oblique rules, as well as explore the effect of size or complexity on their usefulness.

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More information

Published date: 2007
Venue - Dates: 22nd European Conference on Operational Research (EURO XXII), Prague, Czech Republic, 2007-07-07 - 2007-07-10

Identifiers

Local EPrints ID: 51614
URI: http://eprints.soton.ac.uk/id/eprint/51614
PURE UUID: 7c7e5eed-5c17-4dc6-97f9-ad158920960e
ORCID for C. Mues: ORCID iD orcid.org/0000-0002-6289-5490
ORCID for B. Baesens: ORCID iD orcid.org/0000-0002-5831-5668

Catalogue record

Date deposited: 28 Aug 2008
Last modified: 08 Apr 2022 01:38

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Contributors

Author: C. Mues ORCID iD
Author: J. Huysmans
Author: B. Baesens ORCID iD
Author: J. Vanthienen

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