Do Balancing Classes Improve Classifier Performance?
Diego Marinho de Oliveira
![Diego Marinho de Oliveira]()
Diego Marinho de Oliveira
Gen-AI Search, RecSys | ex-SEEK, AI Lead, Data Scientist Manager and ML Engineer Specialist
Nice post by Nina Zumel
"It’s a folk theorem I sometimes hear from colleagues and clients: that you must balance the class prevalence before training a classifier. Certainly, I believe that classification tends to be easier when the classes are nearly balanced, especially when the class you are actually interested in is the rarer one. But I have always been skeptical of the claim that artificially balancing the classes (through resampling, for instance) always helps when the model is to be run on a population with the native class prevalences."
Full article at https://bit.ly/1bPG0dF
Assoc Director-AI, AI&D at Verizon | BITS
7 年very informative........
Senior Data Scientist II at Blue Yonder, Inventor
7 年Very subjective content....
Director of Quantitative Insights and Data Science at Allspring Global Investments | Co-Lead of the Native Peoples Business Resource Group
7 年Great & relevant post; thank you for sharing, Diego!