After oversampling/undersampling is it always appropriate to adjust probabilities using the odds ratio regardless of the sampling method used?

  1. I have an imbalanced dataset where the target class is <1% of sample.
  2. I apply oversampling or undersampling e.g.
  3. I run random forest on the resampled data
  4. I adjust probabilities back to the original sample by multiplying by the ratio of odds ratios as explained here:

Is step 4 always the same regardless of the type of oversampling or undersampling employed?


Source : Link , Question Author : simon , Answer Author : Community

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