Oblique splits in artificial representative trees for random forests

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]

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Publication Details

Journal
German Medical Science (German Research Foundation)
Published
2025-11-03
DOI
https://doi.org/10.3205/25gmds068
Primary Topic
Data Mining Algorithms and Applications
Type
article
Field-Weighted Citation Impact
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article

Oblique splits in artificial representative trees for random forests

German Medical Science (German Research Foundation)
Data Mining Algorithms and Applications
article

Oblique splits in artificial representative trees for random forests

article en

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]

German Medical Science (German Research Foundation)
University of Lübeck (DE)
Life in Land
Openalex Percentile: Top 32%
Data Mining Algorithms and Applications
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Oblique splits in artificial representative trees for random forests · German Medical Science (German Research Foundation) (2025) | TGRS Research Map | TGRS