pRF-package: Permutation based approaches to Random Forest feature...
In pRF: Permutation Significance for Random Forests
Description
Details
Author(s)
References
Description
Functions to estimate the statistical significance of the Increase in MSE and
Decrease in Gini Coefficient metrics of random forest feature importance.
The main functions are pRF and sigplot. See documentation on these functions
for information on how to use them.
Details
Package: pRF
Type: Package
Version: 1.0
Date: 2015-02-23
License: GPL-3
Author(s)
Ankur Chakravarthy
Maintainer: ankur.chakravarthy.10@ucl.ac.uk
References
The concept of permuting response variables is loosely based off
Altmann A, Tolosi L, Sander O, Lengauer T. Permutation importance: a corrected
feature importance measure. Bioinformatics. 2010 May 15;26(10):1340-7. doi:
10.1093/bioinformatics/btq134. Epub 2010 Apr 12. PubMed PMID: 20385727.
pRF documentation built on May 2, 2019, 4:10 a.m.
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Description Details Author(s) References
Description
Functions to estimate the statistical significance of the Increase in MSE and Decrease in Gini Coefficient metrics of random forest feature importance. The main functions are pRF and sigplot. See documentation on these functions for information on how to use them.
Details
| Package: | pRF |
| Type: | Package |
| Version: | 1.0 |
| Date: | 2015-02-23 |
| License: | GPL-3 |
Author(s)
Ankur Chakravarthy
Maintainer: ankur.chakravarthy.10@ucl.ac.uk
References
The concept of permuting response variables is loosely based off
Altmann A, Tolosi L, Sander O, Lengauer T. Permutation importance: a corrected feature importance measure. Bioinformatics. 2010 May 15;26(10):1340-7. doi: 10.1093/bioinformatics/btq134. Epub 2010 Apr 12. PubMed PMID: 20385727.
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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