Class Probability, Imbalanced Data, Data Science, Knime, Theory.
probabilities by the information on the a priori class distribution is recommended. As the use case in this blog post shows, this correction leads to better model performance and concrete profit. References Marco Saerens, Patrice Latinne, and Christine Decaestecker. Adjusting the outputs of a