Class Probability, Imbalanced Data, Data Science, Knime, Theory.
can say whether a transaction is more probably fraudulent or legitimate, but we cannot say how probably it belongs to one of these classes. Sometimes we want to change the classification threshold because we want to take more/less risks, and then the model with the corrected class probabilities