Concepedia

Interpretability Of Trees

Interpretability of Trees is the property of decision tree models that enables their decision-making process to be understood and explained by humans through transparent, rule-based structures derived from hierarchical splits on input features.

95

Publications

16.3K

Citations

276

Authors

140

Institutions

Publications per year

2017–2026

60

Parents

Publications

95

From local explanations to global understanding with explainable AI for trees

Scott Lundberg, Gabriel Erion, Hugh Chen et al. · Nature Machine Intelligence · 2020 · 8.9K citations · Full text

, , +16

Understanding Random Forests: From Theory to Practice

Gilles Louppe · arXiv (Cornell University) · 2014 · 596 citations · Full text

, , +13

Approximating XGBoost with an interpretable decision tree

Omer Sagi, Lior Rokach · Information Sciences · 2021 · 523 citations

, , +12

Categorization and Reasoning among Tree Experts: Do All Roads Lead to Rome?

Douglas L. Medin, Elizabeth B. Lynch, John D. Coley et al. · Cognitive Psychology · 1997 · 486 citations

, , +4

An empirical evaluation of the comprehensibility of decision table, tree and rule based predictive models

Johan Huysmans, Karel Dejaeger, Christophe Mues et al. · Decision Support Systems · 2010 · 421 citations

, , +16

1–5 of 95

Authors

276

  1. ST
    Sarah Tan

    Cornell University, United States

    4 publications · 169 citations

    4

    h-index

  2. GH
    Giles Hooker

    Cornell University, United States

    4 publications · 148 citations

    4

    h-index

  3. SP
    Sonali Parbhoo

    University of Basel, Switzerland

    3 publications · 329 citations

    3

    h-index

  4. MZ
    Maurizio Zazzi

    University of Siena, Italy

    3 publications · 329 citations

    3

    h-index

  5. MW
    Mike Wu

    Stanford University, United States

    3 publications · 329 citations

    3

    h-index

1–5 of 276

Institutions

140

  1. Stanford University

    Stanford, United States

    4 h-index

    4 publications

    426 citations

  2. Cornell University

    Ithaca, United States

    4 h-index

    10 publications

    393 citations

  3. Harvard University Press

    Cambridge, United States

    3 h-index

    6 publications

    658 citations

  4. University of Pennsylvania

    Philadelphia, United States

    3 h-index

    8 publications

    668 citations

  5. University of Siena

    Siena, Italy

    3 h-index

    3 publications

    329 citations

  6. University of Basel

    Basel, Switzerland

    3 h-index

    5 publications

    625 citations

  7. Massachusetts Institute of Technology

    Cambridge, United States

    2 h-index

    2 publications

    74 citations

  8. Monash University

    Melbourne, Australia

    2 h-index

    3 publications

    120 citations

1–8 of 140

Venues

  1. arXiv (Cornell University)

    Repository · 19 publications · 1.6K citations

    17

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 5 publications · 334 citations

    5

    h-index

  3. Information Sciences

    4 publications · 594 citations

    4

    h-index

  4. Decision Support Systems

    3 publications · 472 citations

    3

    h-index

  5. Expert Systems with Applications

    3 publications · 124 citations

    3

    h-index

1–5