RUSBoost: Improving classification performance when training data is skewed
By Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van Hulse, Amri Napolitano. 2008
295 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Information Systems
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Citations in the corpus
- A Comparative Performance Analysis of Data Resampling Methods on Imbalance Medical Data (2021, methodology): “They are Balanced Bag-ging, Balanced Random Forest, Easy Ensemble, and Random Under-Sampling Boost (RUSBoost).”