Geometry- and Accuracy-Preserving Random Forest Proximities

Random forests are considered one of the best out-of-the-box classification and regression algorithms due to their high level of predictive performance with relatively little tuning. Pairwise proximities can be computed from a trained random forest and measure the similarity between data points rela...

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Veröffentlicht in:	arXiv.org 2023-02
Hauptverfasser:	Rhodes, Jake S, Cutler, Adele, Moon, Kevin R
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Classification Data analysis Data points Geometric accuracy Geometry Outliers (statistics) Performance prediction Scientific visualization Visualization
Online-Zugang:	Volltext
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