Class Probability, Imbalanced Data, Data Science, Knime, Theory.
euros or more. Summary Often, when we train and apply a classification model, the interesting events in the data belong to the minority class and are therefore more difficult to find: fraudulent transactions among the masses of transactions, disease carriers among the healthy people, and so on.