Class Probability, Imbalanced Data, Data Science, Knime, Theory.
oversampled, balanced data. The False Negative Rate is very low (12.24 %), which means that almost 90 % of the fraudulent transactions were detected by the model. However, there are a lot of “ false alarms ” (391 legitimate transactions predicted as fraud) that increase the administrative costs.