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Supplementary Files - Janitza, Strobl and Boulesteix (2013)

An AUC-based Permutation Variable Importance Measure for Random Forests

Silke Janitza, Carolin Strobl, Anne-Laure Boulesteix

Contact: Silke Janitza


Supplementary files download:

  • Additional File 1 shows the results of the performance comparison between the AUC-based permutation VIM and the error-rate-based permutation VIM computed using only observations from the minority class.
  • Additional File 2 shows the distribution of AUC-values (analog to Figure 4) for sample sizes n = 500 and n = 1000.

Reproducible files download:

  • The ZIP-file (4.4 MB) contains all R scripts to perform the comparison studies as well as further necessary functions and scripts to reproduce the results presented in the paper for BMC Bioinformatics.
  • The ZIP-file (27.5 MB) contains all R scripts to perform the comparison studies as well as further necessary functions and scripts to reproduce the results presented in the Technical Report 130.

 

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