Class Probability, Imbalanced Data, Data Science, Knime, Theory.
that haven’t been corrected wouldn’t work any more. After resampling, we have now trained a model on balanced data i.e. that contain an equal number of fraudulent and legitimate transactions, which is luckily not a realistic scenario for any credit card provider and therefore — without correcting