Machine Learning Intermediate
upweighting
Applying a weight to the downsampled class equal to the factor by which you downsampled.
Plain English Explanation
Applying a weight to the downsampled class equal to the factor by which you downsampled.
How is it used?
Practitioners refer to upweighting when building, training, or evaluating machine learning systems. It appears in research papers, product documentation, and technical discussions about AI capabilities and limitations.