r-cran-unbalanced 2.0-2 (amd64 binary) in ubuntu jammy
A dataset is said to be unbalanced when the class of interest (minority
class) is much rarer than normal behaviour (majority class). The cost of
missing a minority class is typically much higher that missing a
majority class. Most learning systems are not prepared to cope with
unbalanced data and several techniques have been proposed. This package
implements some of most well-known techniques and propose a racing
algorithm to select adaptively the most appropriate strategy for a given
unbalanced task.
Details
- Package version:
- 2.0-2
- Status:
- Published
- Component:
- universe
- Priority:
- Optional
Downloadable files
amd64 build of r-cran-unbalanced 2.0-2 in ubuntu jammy PROPOSED produced
these files:
- r-cran-unbalanced_2.0-2_all.deb (134.2 KiB)
Package relationships
- Depends on:
- Suggests: