An AUC-based permutation variable importance measure for random forests
Main Authors: | Janitza, Silke, Strobl, Carolin, Boulesteix, Anne-Laure |
---|---|
Format: | Online |
Language: | English |
Published: |
BioMed Central
2013
|
Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3626572/ |
Similar Items
-
Bias in random forest variable importance measures: Illustrations, sources and a solution
by: Strobl, Carolin, et al.
Published: (2007) -
Letter to the Editor: On the term ‘interaction’ and related phrases in the literature on Random Forests
by: Boulesteix, Anne-Laure, et al.
Published: (2015) -
On the overestimation of random forest's out-of-bag error.
by: Silke Janitza, et al. -
Random forest versus logistic regression: a large-scale benchmark experiment
by: Raphael Couronné, et al.
Published: (2018-07-01) -
AucPR: An AUC-based approach using penalized regression for disease prediction with
high-dimensional omics data
by: Yu, Wenbao, et al.
Published: (2014)