RuleExplorer : A Scalable Matrix Visualization for Understanding Tree Ensemble Classifiers
The high performance of tree ensemble classifiers benefits from a large set of rules, which, in turn, makes the models hard to understand. To improve interpretability, existing methods extract a subset of rules for approximation using model reduction techniques. However, by focusing on the reduced r...
Ausführliche Beschreibung
Bibliographische Detailangaben
Veröffentlicht in: | IEEE transactions on visualization and computer graphics. - 1996. - 31(2025), 9 vom: 28. Juli, Seite 6370-6384
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1. Verfasser: |
Li, Zhen
(VerfasserIn) |
Weitere Verfasser: |
Yang, Weikai,
Yuan, Jun,
Wu, Jing,
Chen, Changjian,
Ming, Yao,
Yang, Fan,
Zhang, Hui,
Liu, Shixia |
Format: | Online-Aufsatz
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Sprache: | English |
Veröffentlicht: |
2025
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Zugriff auf das übergeordnete Werk: | IEEE transactions on visualization and computer graphics
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Schlagworte: | Journal Article |