Class Probability, Imbalanced Data, Data Science, Knime, Theory.
it’s exactly this part that quantifies how good your model is, how much it has improved from the previous version, how much better it is than your colleague’s model, and how much room for improvement there still is. Classification on Imbalanced Datasets It is not unusual in machine learning