Class Probability, Imbalanced Data, Data Science, Knime, Theory.
original data. This is because the model is trained on training data that are not representative of the original data, and thus the results do not generalize into the original or any unseen data. This means that we can use the model for prediction, but the class probabilities are not realistic: we