article · German Medical Science (German Research Foundation) · 2025

Oblique splits in artificial representative trees for random forests

Laabs, Björn-Hergen, Bakare, Janet, Szymczak, Silke

Cited by 0Open access

Abstract

Introduction: Artificial representative trees (ARTs) are an interpretation method for random forests where a single binary decision tree is generated as a surrogate model to be interpreted instead of the whole ensemble [ref:1]. While random forests, as an ensemble of binary decision trees, [for full text, please go to the a.m. URL]

Cite this paper

APA 7

Laabs, B.-H., Bakare, J., & Szymczak, S. (2025). Oblique splits in artificial representative trees for random forests. German Medical Science (German Research Foundation). https://doi.org/10.3205/25gmds068

MLA 9

Laabs, Björn-Hergen, et al. “Oblique splits in artificial representative trees for random forests.” German Medical Science (German Research Foundation), 2025, https://doi.org/10.3205/25gmds068.

Chicago

Laabs, Björn-Hergen, Janet Bakare, and Silke Szymczak. 2025. “Oblique splits in artificial representative trees for random forests.” German Medical Science (German Research Foundation). https://doi.org/10.3205/25gmds068.

Harvard

Laabs, B.-H., Bakare, J. and Szymczak, S. (2025) ‘Oblique splits in artificial representative trees for random forests’, German Medical Science (German Research Foundation). Available at: https://doi.org/10.3205/25gmds068.

BibTeX

@article{laabs2025oblique,
  title = {{Oblique splits in artificial representative trees for random forests}},
  author = {Laabs, Björn-Hergen and Bakare, Janet and Szymczak, Silke},
  journal = {German Medical Science (German Research Foundation)},
  year = {2025},
  doi = {10.3205/25gmds068}
}

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