Class Probability, Imbalanced Data, Data Science, Knime, Theory.
we need to apply a transformation to the obtained results. If we don’t apply the transformation to our model, grocery shopping with a credit card in a supermarket might raise too much interest! The following formula [1] shows how to correct the predicted class probabilities for a binary classifier: