Description Usage Arguments Details Value Author(s) References See Also Examples
Main Wrapper for the Random Forest/Boruta crossvalidation.
1 2 3 4 5 6 7 8 | cvRFBORUTA(logX, groupings, DIR, params = NULL)
|
logX |
The data matrix. Samples in rows, features in columns. |
groupings |
A list of group vectors. Each list element is a named vector (length equals the number of samples), holding group assignments for each sample (either 1 for group A and -1 for group B). |
DIR |
The output base directory. |
params |
A parameter list with the following elements. |
Do a ncv
-fold crossvalidation (CV) with repeats
repeats. Each grouping assignment from groupings
will be used as classification task. If more than one grouping is present, the package uses parallelisation in the package multicore
.
This function is usually called by doCV
.
CV result. A list with three elements res, featlist and performance
, holding the crossvalidation data, an extracted features list in each cv-iteration and an overall performance object, holding information on the performance (AUC values and a roc curve object that can be plotted). See resultCV
for making a summary plot for the CV.
Christian Bender
Miron B. Kursa, Witold R. Rudnicki (2010). Feature Selection with the Boruta Package. Journal of Statistical Software, 36(11), p. 1-13. URL: http://www.jstatsoft.org/v36/i11/
Breiman, L. (2001), _Random Forests_, Machine Learning 45(1), 5-32.
Breiman, L (2002), “Manual On Setting Up, Using, And Understanding Random Forests V3.1”, <URL:http://oz.berkeley.edu/users/breiman/Using_random_forests_V3.1.pdf>.
doCV
Help of Boruta package.
1 2 3 4 | ## Not run:
#todo
## End(Not run)
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.