Recent advances in decision trees: an updated survey

Decision Trees (DTs) are predictive models in supervised learning, known not only for their unquestionable utility in a wide range of applications but also for their interpretability and robustness. Research on the subject is still going strong after almost 60 years since its original inception, and...

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Veröffentlicht in:	The Artificial intelligence review Jg. 56; H. 5; S. 4765 - 4800
Hauptverfasser:	Costa, Vinícius G., Pedreira, Carlos E.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Dordrecht Springer Netherlands 01.05.2023 Springer Springer Nature B.V
Schlagworte:	Artificial Intelligence Computer Science Decision making Decision trees Machine learning Newcomers Polls & surveys Prediction models Robustness Supervised learning Surveys Trees Interpretable models Classification algorithms Decision trees Machine learning
ISSN:	0269-2821, 1573-7462
Online-Zugang:	Volltext
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