Class Probability, Imbalanced Data, Data Science, Knime, Theory.
the model has to work reliably on imbalanced data. Although few in number, fraudulent transactions can have remarkable consequences. Therefore, it’s worth checking how much we can improve the performance of the model and its usability in practice by resampling the data and correcting the predicted