Class Probability, Imbalanced Data, Data Science, Knime, Theory.
leads to the best model of these three scenarios in terms of the greatest cost reduction. In this scenario, where we train a classification model on an oversampled data and correct the predicted class probabilities according to the a priori class distribution in the data, we reach a cost reduction