Publikation:

FFTrees : A toolbox to create, visualize, and evaluate fast-and-frugal decision trees

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Phillips_0-420978.pdf
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2017

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Phillips, Nathaniel D.
Woike, Jan K.

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Open Access Gold
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Judgment and Decision Making. 2017, 12(4), pp. 344-368. eISSN 1930-2975

Zusammenfassung

Fast-and-frugal trees (FFTs) are simple algorithms that facilitate efficient and accurate decisions based on limited information. But despite their successful use in many applied domains, there is no widely available toolbox that allows anyone to easily create, visualize, and evaluate FFTs. We fill this gap by introducing the R package FFTrees. In this paper, we explain how FFTs work, introduce a new class of algorithms called fan for constructing FFTs, and provide a tutorial for using the FFTrees package. We then conduct a simulation across ten real-world datasets to test how well FFTs created by FFTrees can predict data. Simulation results show that FFTs created by FFTrees can predict data as well as popular classification algorithms such as regression and random forests, while remaining simple enough for anyone to understand and use.

Zusammenfassung in einer weiteren Sprache

Fachgebiet (DDC)
150 Psychologie

Schlagwörter

decision trees, heuristics, prediction

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ISO 690PHILLIPS, Nathaniel D., Hansjörg NETH, Jan K. WOIKE, Wolfgang GAISSMAIER, 2017. FFTrees : A toolbox to create, visualize, and evaluate fast-and-frugal decision trees. In: Judgment and Decision Making. 2017, 12(4), pp. 344-368. eISSN 1930-2975
BibTex
@article{Phillips2017FFTre-39832,
  year={2017},
  title={FFTrees : A toolbox to create, visualize, and evaluate fast-and-frugal decision trees},
  url={http://journal.sjdm.org/17/17217/jdm17217.pdf},
  number={4},
  volume={12},
  journal={Judgment and Decision Making},
  pages={344--368},
  author={Phillips, Nathaniel D. and Neth, Hansjörg and Woike, Jan K. and Gaissmaier, Wolfgang}
}
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2017-08-10

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