A simple trick for very unbalanced data (Ep. 157) - a podcast by Francesco Gadaleta

Data from the real world are never perfectly balanced. In this episode I explain a simple yet effective trick to train models with very unbalanced data. Enjoy the show!

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References

• Leo Breiman, Random Forests, 2001


• C. Chen, A. Liaw, L. Breiman, Using Random Forest to Learn Imbalanced Data (2004)

 

Further episodes of Data Science at Home

Further podcasts by Francesco Gadaleta

Website of Francesco Gadaleta