TreePOD : Sensitivity-Aware Selection of Pareto-Optimal Decision Trees

Balancing accuracy gains with other objectives such as interpretability is a key challenge when building decision trees. However, this process is difficult to automate because it involves know-how about the domain as well as the purpose of the model. This paper presents TreePOD, a new approach for s...

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Veröffentlicht in:	IEEE transactions on visualization and computer graphics. - 1996. - 24(2018), 1 vom: 30. Jan., Seite 174-183
1. Verfasser:	Muhlbacher, Thomas (VerfasserIn)
Weitere Verfasser:	Linhardt, Lorenz, Moller, Torsten, Piringer, Harald
Format:	Online-Aufsatz
Sprache:	English
Veröffentlicht:	2018
Zugriff auf das übergeordnete Werk:	IEEE transactions on visualization and computer graphics
Schlagworte:	Journal Article Research Support, Non-U.S. Gov't