Parallel approaches for a decision tree-based explainability algorithm

While nowadays Machine Learning (ML) algorithms have achieved impressive prediction accuracy in various fields, their ability to provide an explanation for the output remains an issue. The explainability research field is precisely devoted to investigating techniques able to give an interpretation o...

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Veröffentlicht in:	Future generation computer systems Jg. 158; S. 308 - 322
Hauptverfasser:	Loreti, Daniela, Visani, Giorgio
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.09.2024
Schlagworte:	Global and Local Explainability Parallel computing Parallel decision tree building Parallel computing Global and Local Explainability Parallel decision tree building
ISSN:	0167-739X
Online-Zugang:	Volltext
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