| Name : R-VSURF
| |
| Version : 1.2.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.2.7
| Date : 2024-06-14 11:07:28
|
| Group : Development/Libraries/Other
| Source RPM : R-VSURF-1.2.0-lp153.2.7.src.rpm
|
| Size : 0.47 MB
| |
| Packager : (none)
| |
| Summary : Variable Selection Using Random Forests
|
Description :
Three steps variable selection procedure based on random forests.
Initially developed to handle high dimensional data (for which number
of variables largely exceeds number of observations), the package is
very versatile and can treat most dimensions of data, for regression
and supervised classification problems. First step is dedicated to
eliminate irrelevant variables from the dataset. Second step aims to
select all variables related to the response for interpretation
purpose. Third step refines the selection by eliminating redundancy in
the set of variables selected by the second step, for prediction
purpose. Genuer, R. Poggi, J.-M. and Tuleau-Malot, C. (2015)
< https://journal.r-project.org/archive/2015-2/genuer-poggi-tuleaumalot.pdf>.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
