| Name : R-themis
| |
| Version : 1.0.2
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.4.1
| Date : 2024-07-04 11:21:49
|
| Group : Development/Libraries/Other
| Source RPM : R-themis-1.0.2-lp153.4.1.src.rpm
|
| Size : 0.31 MB
| |
| Packager : (none)
| |
| Summary : Extra Recipes Steps for Dealing with Unbalanced Data
|
Description :
A dataset with an uneven number of cases in each class is said to be
unbalanced. Many models produce a subpar performance on unbalanced
datasets. A dataset can be balanced by increasing the number of
minority cases using SMOTE 2011 < arXiv:1106.1813>, BorderlineSMOTE 2005
< doi:10.1007/11538059_91> and ADASYN 2008
< https://ieeexplore.ieee.org/document/4633969>. Or by decreasing the
number of majority cases using NearMiss 2003
< https://www.site.uottawa.ca/~nat/Workshop2003/jzhang.pdf> or Tomek
link removal 1976 < https://ieeexplore.ieee.org/document/4309452>.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
