iForest : Interpreting Random Forests via Visual Analytics

As an ensemble model that consists of many independent decision trees, random forests generate predictions by feeding the input to internal trees and summarizing their outputs. The ensemble nature of the model helps random forests outperform any individual decision tree. However, it also leads to a...

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Bibliographische Detailangaben

Veröffentlicht in:	IEEE transactions on visualization and computer graphics. - 1996. - (2018) vom: 05. Sept.
1. Verfasser:	Zhao, Xun (VerfasserIn)
Weitere Verfasser:	Wu, Yanhong, Lee, Dik Lun, Cui, Weiwei
Format:	Online-Aufsatz
Sprache:	English
Veröffentlicht:	2018
Zugriff auf das übergeordnete Werk:	IEEE transactions on visualization and computer graphics
Schlagworte:	Journal Article