Finding Minimum-Cost Explanations for Predictions made by Tree Ensembles

The ability to explain why a machine learning model arrives at a particular prediction is crucial when used as decision support by human operators of critical systems. The provided explanations must be provably correct, and preferably without redundant information, called minimal explanations. In th...

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Veröffentlicht in:	arXiv.org 2023-03
Hauptverfasser:	Törnblom, John, Karlsson, Emil, Nadjm-Tehrani, Simin
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Computation Cost function Machine learning
Online-Zugang:	Volltext
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