imbalance
Preprocessing Algorithms for Imbalanced Datasets
Class imbalance usually damages the performance of classifiers. Thus, it is important to treat data before applying a classifier algorithm. This package includes recent resampling algorithms in the literature: doi:10.1109/tkde.2012.232; doi:10.1109/tkde.2014.2324567, doi:10.1016/j.inffus.2013.12.003; doi:10.1016/j.neucom.2014.02.006; doi:10.1007/s00500-014-1484-5. It also includes an useful interface to perform oversampling.
- Version1.0.2.1
- R versionunknown
- LicenseGPL-2
- LicenseGPL-3
- LicenseLICENSE
- Needs compilation?Yes
- imbalance citation info
- Last release04/07/2020
Documentation
Team
Ignacio Cordón
Francisco Herrera
Show author detailsRolesAuthorSalvador García
Show author detailsRolesAuthorAlberto Fernández
Show author detailsRolesAuthor
Insights
Last 30 days
Last 365 days
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Imports8 packages
- Suggests3 packages
- Linking To2 packages
- Reverse Suggests2 packages