Package: SMOTEWB 1.2.0

SMOTEWB: Imbalanced Resampling using SMOTE with Boosting (SMOTEWB)

Provides the SMOTE with Boosting (SMOTEWB) algorithm. See F. Sağlam, M. A. Cengiz (2022) <doi:10.1016/j.eswa.2022.117023>. It is a SMOTE-based resampling technique which creates synthetic data on the links between nearest neighbors. SMOTEWB uses boosting weights to determine where to generate new samples and automatically decides the number of neighbors for each sample. It is robust to noise and outperforms most of the alternatives according to Matthew Correlation Coefficient metric. Alternative resampling methods are also available in the package.

Authors:Fatih Saglam [aut, cre]

SMOTEWB_1.2.0.tar.gz
SMOTEWB_1.2.0.zip(r-4.5)SMOTEWB_1.2.0.zip(r-4.4)SMOTEWB_1.2.0.zip(r-4.3)
SMOTEWB_1.2.0.tgz(r-4.4-any)SMOTEWB_1.2.0.tgz(r-4.3-any)
SMOTEWB_1.2.0.tar.gz(r-4.5-noble)SMOTEWB_1.2.0.tar.gz(r-4.4-noble)
SMOTEWB_1.2.0.tgz(r-4.4-emscripten)SMOTEWB_1.2.0.tgz(r-4.3-emscripten)
SMOTEWB.pdf |SMOTEWB.html✨
SMOTEWB/json (API)

Peer review:

Bug tracker:https://github.com/fatihsaglam/smotewb/issues

On CRAN:

11 exports 1 stars 1.40 score 9 dependencies 1 dependents 11 scripts 219 downloads

Last updated 5 months agofrom:ecf178dbf9. Checks:OK: 7. Indexed: yes.

Exports:ADASYNBLSMOTEGSMOTEROSROSERSLSMOTERUSRWOSLSMOTESMOTESMOTEWB

Dependencies:FNNRANNRcppRcppArmadilloRcppGSLRcppParallelRcppZigguratRfastrpart